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FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/Z ArcGIS Metadata 1.0 Bekele Temesgen California Department of Water Resources Manager, Land and Water Use Section 916-651-9679 PO Box 942836 Sacramento CA 94236-0001 Bekele.Temesgen@water.ca.gov No Digital Data https://data.cnra.ca.gov/dataset/statewide-crop-mapping or https://sgma.water.ca.gov/webgis/?appid=SGMADataViewer#waterbudget Feature Class i15_Crop_Mapping_2019 2022-03-25 20220325 vector digital data Planning i15 CDWR Land Use Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer/. Statewide Crop Mapping on California Natural Resources Agency (CRNA) Open Data Portal: https://data.cnra.ca.gov/dataset/statewide-crop-mapping. SGMA Data Viewer: https://sgma.water.ca.gov/webgis/?appid=SGMADataViewer#waterbudget <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Land use data is critically important to the work of the Department of Water Resources (DWR) and other California agencies. Understanding the impacts of land use, crop location, acreage, and management practices on environmental attributes and resource management is an integral step in the ability of Groundwater Sustainability Agencies (GSAs) to produce Groundwater Sustainability Plans (GSPs) and implement projects to attain sustainability. Land IQ was contracted by DWR to develop a comprehensive and accurate spatial land use database for the 2019 water year (WY 2019). The primary objective of this effort was to produce a spatial land use database with accuracies exceeding 95% using remote sensing, statistical, and temporal analysis methods. This project is an extension of the 2014, 2016, and 2018 land use mapping, which classified over 14 million acres of land into irrigated agriculture and urban area. Unlike the 2014 and 2016 datasets, the WY 2018 and 2019 datasets include multi-cropping and incorporates DWR ground-truth data from Siskiyou, Modoc, Lassen and Shasta counties. Land IQ integrated crop production knowledge with detailed ground truth information and multiple satellite and aerial image resources to conduct remote sensing land use analysis at the field scale. Individual fields (boundaries of homogeneous crop types representing cropped area, rather than legal parcel boundaries) were classified using a crop category legend and a more specific crop type legend. A supervised classification algorithm using a random forest approach was used to classify delineated fields and was carried out county by county where training samples were available. Random forest approaches are currently some of the highest performing methods for data classification and regression. To determine frequency and seasonality of multiple-cropped fields, peak growth dates were determined for annual crops. Fields were attributed with DWR crop categories and included citrus/subtropical, deciduous fruits and nuts, field crops, grain and hay, idle, pasture, rice, truck crops, urban, vineyards, and young perennials. These categories represent aggregated groups of specific crop types in the Land IQ dataset. Accuracy was calculated for the crop mapping using both DWR and Land IQ crop legends. The overall accuracy result for the crop mapping statewide was 96.9% using the Land IQ legend and 98.1% using the DWR legend. Accuracy and error results varied among crop types. In particular, some less extensive crops that have very few validation samples may have a skewed accuracy result depending on the number and nature of validation sample points. DWR revised crops and conditions from the Land IQ classification were encoded using standard DWR land use codes added to feature attributes, and each modified classification is indicated by the value 'r' in the ‘DWR_REVISE' data field. Polygons drawn by DWR, not included in Land IQ dataset receive the 'n' code for new. Boundary change (i.e. DWR changed the boundary that LIQ delivered could be split boundary) indicated by 'b'. Each polygon classification is consistent with DWR attribute standards, however some of DWR's traditional attribute definitions are modified and extended to accommodate unavoidable constraints within remote-sensing classifications, or to make data more specific for DWR's water balance computation needs. The original Land IQ classifications reported for each polygon are preserved for comparison, and are also expressed as DWR standard attributes. Comments, problems, improvements, updates, or suggestions about local conditions or revisions in the final data set should be forwarded to the appropriate Regional Office Senior Land Use Supervisor. Revisions were made if: - DWR corrected the original crop classification based on local knowledge and analysis, -PARTIALLY IRRIGATED CROPS Crops irrigated for only part of their normal irrigation season were given the special condition of ‘X’, -In certain areas, DWR changed the irrigation status to irrigated or non-irrigated. Among those areas the special condition may have been changed to 'Partially Irrigated' based on image analysis and local knowledge, - young versus mature stages of perennial orchards and vineyards were identified (DWR added ‘Young’ to Special Condition attributes), - DWR determined that a field originally classified ‘Idle’ was actually cropped one or more times during the year, - the percent of cropped area was changed from the original acres reported by Land IQ (values indicated in DWR ‘Percent’ column), - DWR determined that the field boundary should have been split to better reflect separate crops within the same polygon and identified by a 'b' in the DWR_REVISED column, - The ‘Mixed’ was added to the MULTIUSE column refers to no boundary change, but percent of field is changed where more than one crop is found, - DWR identified a distinct early or late crop on the field before the main season crop (‘Double’ was added to the MULTIUSE column); if the 1st and 2nd sequential crops occupied different portions of the total field acreage, the area percentages were indicated for each crop). This dataset includes multicropped fields. If the field was determined to have more than one crop during the course of the water year, the order of the crops is sequential, beginning with Class 1. All single cropped fields will be placed in Class 2, so every polygon will have a crop in the Class 2 and CropType2 columns. In the case that a permanent crop was removed during the water year, the Class 2 crop will be the permanent crop followed by ‘X’ – Unclassified fallow in the Class 3 column. In the case of Intercropping, the main crop will be placed in the Class 2 column with the partial crop in the Class 3 column. A new column for the 2019 dataset is called ‘MAIN_CROP’. This column indicates which field Land IQ identified as the main season crop for the water year representing the crop grown during the dominant growing season for each county. The column ‘MAIN_CROP_DATE’, another addition to the 2019 dataset, indicates the NDVI peak date for this main season crop. Asterisks (* or **) in attribute table indicates no data have been collected for that specific attribute.</SPAN></P><P><SPAN>The 2019 Crop Mapping dataset has been updated as of August 2022 and includes the following changes:</SPAN></P><P><SPAN>- Slightly shifted Urban polygons were relocated to their original correct positions.</SPAN></P><P><SPAN>- The following new rule has been included for ‘X’ Unclassified Fallow: “Unclassified Fallow is also used when indicating the planting of Alfalfa &amp; Alfalfa Mixtures or Miscellaneous Grasses. In these scenarios Unclassified fallow would be Crop1, and Alfalfa &amp; Alfalfa Mixtures or Miscellaneous Grasses would be Crop2.”</SPAN></P><P><SPAN>- Some UniqueID’s that were accidentally duplicated have been corrected back to their original UniqueID’s. </SPAN></P></DIV></DIV></DIV> Understanding the impacts of land use, crop location, acreage, and management practices on environmental attributes and resource management will be an integral step in the ability of Groundwater Sustainability Agencies (GSAs) to produce Groundwater Sustainability Plans (GSPs) and implement projects to attain sustainability. For these purposes, as well as many others, a spatial mapping base layer is essential for effective decision-making and other applications. The primary objective of this effort was to produce a comprehensive and accurate spatial land use database with overall accuracies exceeding 95% using remote sensing, statistical, and temporal analysis methods. DWR reviewed and revised the data in some cases. Detailed reviews and revisions of individual fields were determined by DWR Land Use staff in Regional Offices, therefore it is important to contact individual Senior Land Use Supervisors within Regional Offices for local details. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.3, dated April 13, 2022. This data set was not produced by DWR. Data were originally developed and supplied by Land IQ, LLC, under contract to California Department of Water Resources. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data.Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. Land IQ, www.LandIQ.com, California Department of Water Resources, Division of Regional Assistance Regional Offices: Northern, North Central, South Central and Southern Regional Offices, and Water Use Efficiency Branch (Sacramento Headquarters). State of California Imagery Urban Planning Satellite imagery Ground truth Crop Raster Landsat Land cover Irrigated land 2019 Multispectral analysis Vector Digital imagery Image classification Aerial photography Land use Survey Boundaries Agriculture Imagery Urban Planning Satellite imagery Ground truth Crop Raster Landsat Land cover Irrigated land 2019 Multispectral analysis Vector Digital imagery Image classification Aerial photography Land use Survey Boundaries Agriculture State of California Planning Cadastre DWR GIS Atlas Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the California Department of Water Resources (DWR), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Version 6.2 (Build 9200); Esri ArcGIS 10.8.1 true -124.4692 -113.4995 42.0709 32.4317 0.000000 0.000000 publication date 2018-10-01 2019-09-30 0.000000 0.000000 Land-Use Data Quality Control This dataset is the final copy of Crop_Mapping_2019. Digital surveys published on this site are designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process. Each survey has been zipped into a downloadable folder which contains the survey shapefile, feature class, and other documentation that further explains how that specific survey was processed, and how the information is interpreted. 'Final' surveys are peer reviewed with extensive quality control methods to confirm that field polygon attributes reflect the most detailed and specific land-use classification available, using the standard DWR Land Use Legend specific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level. 'Provisional' data sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data. <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The original source projection of the DWR GIS atlas dataset was NAD83. For copies of data in original projection, please contact DWR directly.</SPAN></P></DIV></DIV></DIV> 1 -124.375265 -114.132553 42.003618 32.540503 Data are considered logically consistent. Data are complete as of final delivery 2022/03/25 California Department of Water Resources, Division of Regional Assistance Regional Offices: Northern, North Central, South Central and Southern Regional Offices, and Water Use Efficiency Branch (Sacramento Headquarters). Land IQ California 2019 DWR 2022-03-25 Joel Kimmelshue, Land IQ, LLC, Owner (Originator), Land IQ, LLC, Owner (Originator), Owner vector digital data publication date 2018-10-01 2019-09-30 GROUND TRUTH DATA COLLECTION To generate and validate a land use map using remotely sensed imagery, a representative sample of reference points in the imagery with known class values (or known land use types) is needed for two reasons. Some of the data are used to calibrate or train the remote sensing model that generates land use results. The training process results in an algorithm that is used to determine land use on all analyzed fields. Another set of reference data is needed to independently validate the accuracy of the remote sensing model. Currently, Land IQ collects reference data for model training and validation from cropped areas in California by conducting “on-the-ground” survey. For this reason, Land IQ calls reference data collection “ground truthing.” Land IQ ground truth data collection seeks to gather information representing crop types with a target of 10 – 20% of mapped land. These data are split for purposes of training and validation as described in later sections. Ground truth data collection areas are selected to best represent the cropping systems in mapped areas across the state. In WY 2019, with the expansion of mapping to capture multiple cropping seasons, ground truth efforts were expanded to include Siskiyou, Modoc, Lassen and Shasta counties, the central coast, north coast, southern coast, and the low desert. Information from ground truth areas is compiled and applied regionally across the state. In this way the image classification approaches used in all areas are informed by training data from representative crops. Ground truth data collection approaches are continually refined as cropping and crop timing details are determined through mapping efforts. 2018-12-01 METHODS Land IQ integrated crop production knowledge with detailed ground truth information and multiple satellite and aerial image resources to conduct remote sensing land use analysis at the field scale. The mapping approach employed advanced spatial statistical analysis approaches to determine prediction probabilities and inform Quality Assurance/Quality Control (QA/QC) efforts. A rigorous QA/QC and analysis refinement process was used to improve predictions on all lower confidence fields. Individual fields (boundaries of homogeneous crop types representing cropped area, rather than legal parcel boundaries) were defined so that each independent field could be analyzed independently and assigned to a crop class. The result represents the cropped area and not legal or other less detailed boundaries that may be available elsewhere. The classification legend was developed in coordination with DWR with consideration of the known crop variation, existing DWR legends used in current models, and Land IQ mapping classes. Two legend levels were selected to retain the detail in Land IQ’s base mapping while providing a more general legend consistent with DWR’s classification that groups some crops into categories. 2019-06-01 IMAGERY ACQUISITION Satellite data resources were used for the crop classification. Sentinel 2 and Landsat 8 were used for field delineation, classification, and QA/QC of the final product. Multiple Landsat 8 images were used for the initial crop classification. Imagery from the Landsat 8 satellite is free of charge, available every 16 days, and allowed temporal analysis throughout the growing season. Satellite-based imagery provided by Sentinel was also utilized during the QA/QC process. 2019-06-01 ANALYSIS The Land IQ mapping scale is focused on all cropped fields 2 acres or greater across the state. In some cases, fields smaller than two acres were included if they were adjacent within 30 meters, the same crop and clearly associated as a part of a broader group of fields cultivated together. More than 446,000 delineated fields were classified in WY 2019 utilizing ground training examples and multiple image sources and dates. These images and ground truth data were used to develop classification algorithms for crop identification. Multiple selected image sources and timeframes served as input data for the remote sensing classification process, along with comprehensive ground truth training samples. In some more sparsely cropped counties, photo interpretation methods are used for initial crop mapping. 2019-10-31 CROP CLASSIFICATION MODEL Multiple geoprocessing tools and methods were employed to assess the model dataset, including ArcGIS, and other open-source statistical tools. These tools were used to generate spectral characteristics, textural characteristics, and temporal representations that are related to the specific attributes of each crop or land use. Supervised classification was used to classify delineated fields. Selected ground truth data and feature data were applied to the algorithm for model building and calibration. A portion of these data were used for model calibration and the remainder was used to train the models. Multiple remote sensing models are assessed and compared to determine the highest performing for classification. The preferred model was then applied to all delineated fields to predict land cover type, as well as prediction confidence, which was used to inform QA/QC efforts. 2019-10-31 MODEL INPUT FEATURES The input features were produced using ground truth training samples and satellite imagery from Landsat 8 OLI/TIRS sensors collected during the growing season. 2019-10-31 GROUND TRUTH TRAINING DATA Field data from over 21% of all cropped land in California were collected, which represented 83,038 data points and 55,043 fields. The ground truthing data were stratified based on Land IQ’s classification schema, with approximately 75% of the data selected for model building and calibration, and the remaining approximately 25% dedicated to independent validation and accuracy assessment. These independent data were set aside from the modeling process and used in the final accuracy assessment discussed later. The two datasets were reviewed and evaluated statistically to identify any repeated points within a single field or samples considered unrepresentative (crops that were very stressed, intercropped or abandoned, for example). These data points were flagged and removed from the training and validation samples. 2019-12-01 QUALITY REVIEW Photo interpretation methods were used to review imagery of classified fields with a low confidence level. Results were also cross-validated with ancillary data sources such as the coinciding USDA Crop Data Layer (CDL) and county agricultural surveys and county crop reports, to assess and evaluate significant differences. Differences do not always indicate incorrect classification but are used both to evaluate the classification result and explain deviation from other data sources if any exists. 2020-06-01 PERCENT CROPPED A percent cropped (cover) attribute was added in 2016 and is included in the 2019 dataset for each field, and each crop in the case of double, triple, and quadruple cropped fields. This attribute represents the percentage of a field that is cropped. Staggered or strip planting, where a field is not planted uniformly but rather in stages during a season, is a common practice in crops such as lettuce/leafy greens, cole crops, carrots, and miscellaneous truck crops. To provide more accurate acreages for these crops, the percent cover attribute represents approximately what proportion of a field was in production for that mapped season. This is used to calculate more specific acreage for these crops while allowing outer field boundaries to remain relatively consistent over multiple years. 2020-07-24 CROP FREQUENCY AND PEAK DATES Prior to WY 2018, only summer crops were classified. The WY 2019 dataset includes multiple crop attributes for some fields depending on the time of year. Mapping frequency was determined in coordination with DWR personnel to represent areas understood to have higher frequency crop production. These areas were delineated from existing DWR Detailed Analysis Unit (DAU) maps and incorporated all or portions of DAUs expected to have multiple cropping. Three levels of multiple cropping were defined (double, triple, and quadruple) using knowledge about regional production practices. All fields within a given multi-cropping area were mapped at the cropping frequency designated for that region. Unclassified fallow “X” reflect the following circumstances: (1) A field was fallow for a whole season (in this case, ‘X’ will be in the Crop2 ‘main crop’ segment and no other crops have been assigned for this field in this instance). (2) Fallow condition followed removal of a permanent crop (excluding Young Perennials), the permanent crop has been assigned in the Crop2 ‘main crop’ segment and the "X" will be in crop 3 segment indicating the orchard was removed. Permanent Crop Classes include Citrus, Deciduous, and Pasture (except Native Pasture). 3) Unclassified Fallow is also used when indicating the planting of Alfalfa & Alfalfa Mixtures or Miscellaneous Grasses. In these scenarios Unclassified fallow would be Crop1, and Alfalfa & Alfalfa Mixtures or Miscellaneous Grasses would be Crop2. The timing of multi cropping varies among crops and regions. Rather than defining set seasons such as spring, summer, fall and winter, an assessment of peak crop production date was conducted. Peak dates were determined for each crop by assessing field Normalized Difference Vegetative Index (NDVI), which represents crop vigor, and evaluating index patterns and maximum points. The average of the dates of these maximum points was determined to be the peak date for a particular crop season and a peak date was determined for each annual crop. A maximum of four crops per field were mapped depending on the targeted mapping frequency. Fields were attributed with more than one crop when more than one peak date was found. When a permanent crop such as alfalfa or almonds was removed, the mid-point between the removal date and the end date of the water year (October 2019) was recorded as the peak date, which can be used to calculate the crop’s timeframe for crop water use. 2020-07-24 CROP MAP PRODUCT The geospatial database was attributed with field size (acres), relevant county, and the appropriate crop classification categories per both the Land IQ and DWR legends. 2022-05-06 i15_Crop_Mapping_2019 Table containing attribute information associated with the data set. Producer defined Feature Class 411122 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 4 0 0 UniqueID Unique Identifier for each polygon Land IQ UniqueID String 80 0 0 DWR_REVISE Indicator that the original polygon classification was revised or modified by DWR Regional Land Use staff. Revised polygons are indicated by the letter 'r'. California Department of Water Resources Revised polygons are indicated by the code 'r'. Polygons drawn by DWR, not included in Land IQ dataset receive the 'n' code for new. Boundary change (i.e. DWR changed the boundary that LIQ delivered could be split boundary) indicated by 'b' and may include attribute revision. DWR_REVISE String 1 0 0 SYMB_CLASS CLASS2 used as class code symbology. California Department of Water Resources See CLASS2 for detail SYMB_CLASS String 2 0 0 MULTIUSE This field indicates whether sequential or concurrent land uses are mapped within the area represented by a polygon. California Department of Water Resources Polygons where a sequence of one to four crops were planted in succession are coded as: S - a single land use or crop D - double cropped: two crops grown in sequence T – triple cropped: three crops grown in sequence. Q – quadruple cropped: four crops grown in sequence. Polygons where crops or land uses are spatially mixed within the polygon at the same time are coded as: I- intercropped: orchards or vineyards with an annual crop planted between the rows, M – mixed use: A single polygon area that represents a mixture of two or three land uses. The percentages representing each multiuse type are coded in the PCNT1, PCNT2, PCNT3, and PCNT4 fields. MULTIUSE String 1 0 0 CLASS1 Originally this was the class for the first land use group on the field, and the first level of detail for land use identification. All class codes are letters, not numerals. In the statewide data set: (1) all Main Season summer crop data begins in column CLASS2; only multicropped fields (MULTIUSE = 'D', ‘T’, or ‘Q’, or Mixed Use fields (MULTIUSE = 'M') will have a code in CLASS1. All agricultural class codes except for 'YP' are right justified with a leading space. All non-agricultural codes are left justified, and may have a trailing space. (2) all Single cropped data has a crop in CLASS2. Therefore, all Single cropped fields will have no attribute in CLASS1, but all Double, Triple, and Quadruple crops will begin their sequence in CLASS1, with sequential crops in CLASS2, CLASS3 and CLASS 4 (for double, triple, and quadruple crops). California Department of Water Resources Class codes are: G - Grain and hay crops (' G'), R - Rice (' R'), F - Field crops (' F'), P - Pasture (' P'), T - Truck, nursery, and berry crops (' T'), D - Deciduous fruits and nuts (' D'), C - Citrus and subtropical (' C'), V - Vineyards (' V'), I - Idle (' I'), S - Semi-agricultural and incidental to agriculture ('S '), U - Urban - residential, commercial, and industrial, unsegregated ('U '), UR - Urban residential - single and multi-family units, includes trailer parks ('UR'), UC - Urban commercial ('UC'), UI - Urban industrial ('UI'), UV - Urban vacant ('UV'), NC - Native classes, unsegregated ('NC'), NV - Native vegetation ('NV'), NR - Native riparian vegetation ('NR'), NW - Water surface ('NW'), NB - Barren and wasteland ('NB'), NS - Not surveyed ('NS'), E - Entry denied - area within the study area that was not mapped because entry into the area was denied ('E ') and Z - Outside of the study area ('Z '). Following CLASS codes were used to align Land IQ values with the DWR Standard Land Use Legend: ' X' - Unclassified fallow “X” reflect the following circumstances: (1) A field was fallow for a whole season (in this case, ‘X’ will be in the Crop2 ‘main crop’ segment and no other crops have been assigned for this field in this instance). (2) Fallow condition followed removal of a permanent crop, the permanent crop has been assigned in the Crop2 ‘main crop’ segment and the "X" will be in crop 3 segment indicating the orchard was removed). (3) Unclassified Fallow is also used when indicating the planting of Alfalfa & Alfalfa Mixtures or Miscellaneous Grasses. In these scenarios Unclassified fallow would be Crop1, and Alfalfa & Alfalfa Mixtures or Miscellaneous Grasses would be Crop2. 'YP' - Young Perennial CLASS1 String 2 0 0 SUBCLASS1 This is the subclass associated with the CLASS1, in combination, CLASS and SUBCLASS provide the most specific level of detail for land use identification in the DWR Standard Land Use Legend. It is not mandatory to have a subclass code after a CLASS code. All subclasses are text numerals, and associated with each class. A specific subclass value represents different crops or other land uses depending upon the class associated with it. The subclass list was extended to accommodate Land IQ classifications for remote-sensing purposes. California Department of Water Resources Subclasses used in this 2019 statewide data set are: CLASS G - Grain and hay crops: 1 - Barley, 2 - Wheat, 3 - Oats, 6 - Miscellaneous grain and hay, 7 - Mixed grain and hay. (' 1', ' 2', ' 3', ' 6', ' 7', '**') CLASS R - Rice: 1 - Rice, 2 - Wild Rice. (' 1', ' 2', '**') CLASS F - Field crops: 1 - Cotton, 2 - Safflower, 3 - Flax, 4 - Hops, 5 - Sugar beets, 6 - Corn (field & sweet), 7 - Grain sorghum, 8 - Sudan, 9 - Castor beans, 10 - Beans (dry), 11 - Miscellaneous field, 12 - Sunflowers, 13 - Hybrid sorghum/sudan, 14 - Millet, 15, Sugar cane, 16 - Corn,Sorghum or Sudan grouped for remote sensing only. (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', ' 8', ' 9', '10', '11', '12', '13', '14', '15', '16', '**') CLASS P - Pasture: 1 - Alfalfa & alfalfa mixtures, 2 - Clover, 3 - Mixed pasture, 4 - Native pasture, 5 - Induced high water table native pasture, 6 - Miscellaneous grasses, 7 - Turf farms, 8 - Bermuda grass, 9 - Rye grass, 10 - Klein grass. (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', ' 8', ' 9', '10', '**') CLASS T - Truck, nursery & berry crops: 1 - Artichokes, 2 - Asparagus, 3 - Beans (green), 4 - Cole crops (mixture of 22-25), 6 - Carrots, 7 - Celery, 8 - Lettuce (all types), 9 - Melons, squash, and cucumbers (all types), 10 - Onions & garlic, 11 - Peas, 12 - Potatoes, 13 - Sweet potatoes, 14 - Spinach, 15 - Tomatoes (processing), 16 - Flowers, nursery & Christmas tree farms, 17 - Mixed (four or more), 18 - Miscellaneous truck, 19 - Bush berries, 20 - Strawberries, 21 - Peppers (chili, bell, etc.), 22 - Broccoli, 23 - Cabbage, 24 - Cauliflower, 25 - Brussels sprouts, 26 - Tomatoes (market), 27 - Greenhouse, 27 - Greenhouse, 28 - Blueberries, 29 - Asian leafy vegetables, 30 - Lettuce or Leafy Greens grouped for remote sensing only, 31 - Potato or Sweet potato grouped for remote sensing only. (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', ' 8', ' 9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '**') CLASS D - Deciduous fruits and nuts: 1 - Apples, 2 - Apricots, 3 - Cherries, 5 - Peaches and nectarines, 6 - Pears, 7 - Plums, 8 - Prunes, 9 - Figs, 10 - Miscellaneous deciduous, 11 - Mixed deciduous, 12 - Almonds, 13 - Walnuts, 14 - Pistachios, 15 - Pomegranates, 16 - Plums, Prunes or Apricots grouped for remote sensing only. (' 1', ' 2', ' 3', ' 5', ' 6', ' 7', ' 8', ' 9', '10', '11', '12', '13', '14', '15', '16', '**') CLASS C - Citrus and subtropical: 1 - Grapefruit, 2 - Lemons, 3 - Oranges, 4 - Dates, 5 - Avocados, 6 - Olives, 7 - Miscellaneous subtropical fruit, 8 - Kiwis, 9 - Jojoba, 10 - Eucalyptus, 11 - Mixed subtropical fruits. (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', ' 8', ' 9', '10', '11', '**') CLASS V - Vineyards: 1 - Table grapes, 2 - Wine grapes, 3 - Raisin grapes. (' 1', ' 2', ' 3', '**') CLASS YP - no subclass ('**') CLASS I - Idle: 1 - Land not cropped the current or previous crop season, but cropped within the past three years, 2 - new lands being prepared for crop production, 4 - long term, land consistently idle for four or more years. (' 1', ' 2', ' 4', '**') CLASS X - Not cropped or unclassified, no subclass ('**') CLASS S – Semi-agricultural & incidental to agriculture: 1 - Farmsteads (includes a farm residence), 2 - Livestock feed lot operations, 3 - Dairies, 4 - Poultry farms, 5 - Farmsteads (without a farm residence), 6 - Miscellaneous semi-agricultural (small roads, ditches, non-planted areas of cropped fields). (' 1', ' 2', ' 3', ' 4', ' 5', '6', '**') CLASS U - Urban - generic nomenclature with no subclass. ('**') CLASS UR - Urban residential: 1 - Single family dwellings with lot sizes greater than 1 acre up to 5 acres (ranchettes, etc.), 2 - Single family dwellings with a density of 1 unit/acre up to 8+ units per acre, 3 - Multiple family (apartments, condominiums, townhouses, barracks, bungalows, duplexes, etc.), 4 - Trailer courts. WATER USE FACTOR (% of total area irrigated - will be the second digit of the UR subclass when water factor is used): 1 - 0% to 25% area irrigated, 2 - 26% to 50% area irrigated, 3 - 51% to 75% area irrigated, 4 - 76% to 100% area irrigated. (' 1', '11', '12', '13', '14', ' 2', '21', '22', '23', '24', ' 3', '31', '32', '33', '34', ' 4', '41', '42', '43', '44', '**') CLASS UC - Commercial: 1. Offices, retailers, etc. 2. Hotels, 3. Motels, 4. Recreation vehicle parking, camp sites, 5. Institutions (hospitals, prisons, reformatories, asylums, etc., having a reasonably constant 24-hour resident population), 6. Schools (yards to be mapped separately if large enough), 7. Municipal auditoriums, theaters, churches, buildings and stands associated with race tracks, football stadiums, baseball parks, rodeo arenas, amusement parks, etc., 8. Miscellaneous highwater use (to be used to indicate a high water use condition not covered by the above categories.). (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', ' 8', '**') CLASS UI - Industrial: 1. Manufacturing, assembling, and general processing, 2. Extractive industries (oil fields, rock quarries, gravel pits, rock and gravel processing plants, etc.), 3. Storage and distribution (warehouses, substations, railroad marshalling yards, tank farms, etc.), 6. Saw mills, 7. Oil refineries, 8. Paper mills, 9. Meat packing plants, 10. Steel and aluminum mills, 11. Fruit and vegetable canneries and general food processing, 12. Miscellaneous highwater use (to be used to indicate a high water use condition not covered by other categories.), 13. Sewage treatment plant including ponds, 14. Waste accumulation sites (public dumps, sewage sludge sites, landfill and hazardous waste sites, etc.), or 15. Wind farms, solar collector farms, etc. (' 1', ' 2', ' 3', ' 6', ' 7', ' 8', ' 9', '10', '11', '12', '13', '14', '15', '**') CLASS - UL: 1. Lawn area – irrigated, 2. Golf course – irrigated, 3. Ornamental landscape (excluding lawns) – irrigated, 4. Cemeteries – irrigated, or 5. Cemeteries - not irrigated. (' 1', ' 2', ' 3', ' 4', ' 5', '**') CLASS UV - Vacant: 1. Unpaved areas (vacant lots, graveled surfaces, play yards, developable open lands within urban areas, etc.), 3. Railroad right of way, 4. Paved areas (parking lots, paved roads, oiled surfaces, flood control channels, tennis court areas, auto sales lots, etc.), 6. Airport runways, or 7. Land in urban area that is not developable. (' 1', ' 3', ' 4', ' 6', ' 7', '**') CLASS NC - Native class - generic nomenclature with no subclass ('**') CLASS NV - Native vegetation: 1. Grassland, 2. Light brush, 3. Medium brush, 4. Heavy brush, 5. Brush and timber, 6. Forest, or 7. Oak woodland. (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', '**') CLASS NR - Riparian vegetation: 1. Marsh lands, tules and sedges, 2. Natural highwater table meadow, 3. Trees, shrubs or other larger stream side or watercourse vegetation, 4. Seasonal duck marsh, dry or only partially wet during summer, or 5. Permanent duck marsh, flooded during summer. (' 1', ' 2', ' 3', ' 4', ' 5', '**') CLASS NW - Water Surface: 1. River or stream (natural fresh water channels), 2. Water channel (all sizes - ditches and canals - delivering water for irrigation and urban use - e.g. State Water Project, Central Valley Project, water district canals, etc.), 3. Water channel (all sizes - ditches and canals - for removing on-farm drainage water - surface runoff and subsurface drainage - e.g. Colusa drain, drainage ditches in Imperial), 4. Freshwater lake, reservoir, or pond (all sizes, includes ponds for stock, recreation, groundwater recharge, managed wetlands, on-farm storage, etc.), 5. Brackish and saline water (includes areas in estuaries, inland water bodies, the ocean, etc.), 6. Wastewater pond (dairy, sewage, cannery, winery, etc.), or 7. Paved water conveyance channels within urban areas (mainly for flood control). (' 1', ' 2', ' 3', ' 4', ' 5', ' 6', ' 7', '**') CLASS NB - Barren and Wasteland: 1. Dry stream channels, 2. Mine tailings, 3. Barren land, 4. Salt flats, or 5. Sand dunes. (' 1', ' 2', ' 3', ' 4', ' 5', '**') CLASS E - Entry denied - no subclass ('**') CLASS Z - Outside of study area - no subclass ('**') SUBCLASS1 String 2 0 0 SPECOND1 SPECIAL CONDITIONS (only one can be used per parcel). This is a special condition for the first land use, which is a single character. California Department of Water Resources It is not mandatory to have a special condition code after a class code: A - ABANDONED ORCHARDS AND VINEYARDS Trees or vines must be in such a condition that renewal of cultural practices would restore economic production. Example: D1-A indicates an apple orchard previously in production but now abandoned. ('A') B - BURNED OVER AREAS Indicated by "B". The type and density of natural cover destroyed by fire may be obtained by examination of aerial photographs or satellite imagery. Example: NV7-B indicates oak grassland recently burned over. ('B') C – GREEN CHOPPED Grain or field crops harvested early for livestock feed ('C') D - HIGH DENSITY ORCHARDS Indicates the density of trees is higher than normally expected (used with D and C classes). ('D') E – ECOSYSTEM RESTORATION Native vegetation or riparian areas that have undergone restoration (used with NV and NR classes). ('E') F - FALLOW LANDS Land not cropped during the current crop season, but cropped during the previous crop season. (1) If no crop residue is apparent or identifiable then the "F" symbol will follow the agricultural class symbol for the crop most representative of those grown in the area. Example: T-F indicates fallow land within a truck crop area (with facilities for irrigation). (2) If the crop residue is apparent and identifiable but is not from the current crop season covered by the survey then the field is considered fallow and mapped as the class of the crop residue. Example: Surveyor found old sugar beet residue not from current season. Land would be mapped F-F. (3) If the crop residue is identifiable as that of a crop which was grown during the survey period, then the field is mapped as though the crop existed. Example: Surveyor found carrot residue from current growing season. Land would be mapped T6. ('F') G – COVER CROP Indicates where grain, field, or pasture type crops have been planted for soil stabilization or for cover crops grown between rows of deciduous and subtropical trees and vines. ('G') H – HARVESTED CROP Indicates the identified crop was harvested at the time of the survey (used with truck, field, and grain crops). ('H') K - FREEWAYS The area within the freeway right of way. Examples: UV-K indicates urban vacant, unsegregated, with a freeway special condition (all areas within the freeway right of way). UV4-K indicates the urban vacant paved areas with a freeway special condition (the paved portion within the freeway right of way.) UL3-K indicates irrigated urban landscape with a freeway special condition (irrigated landscape portion within the freeway right of way). ('K') R - RECREATIONAL To be used with urban residential, commercial, and vacant (recreational vehicle parks and camp sites) within primarily a seasonal recreational area. ('R') S - SEED CROP Indicates any crop grown for seed. Example: P1-S indicates an irrigated alfalfa seed crop. ('S') T - TILLED LANDS Land prepared for immediate planting, or just newly planted, including the appearance of seed lines or unidentifiable tiny seedlings. Example: T-T indicates tilled land (either prepared for planting or just planted) in a predominately truck crop area. ('T') U – INTERPRETED LANDUSE Indicates that the land use was determined using other means than visual field verification. ('U') W - THIRD PARTY DATA SOURCE X - PARTIALLY IRRIGATED CROPS Crops irrigated for only part of their normal irrigation season. Example: P3-X indicates partially irrigated mixed pasture. ('X') Y - YOUNG CROPS Indicates the identified crop is at early stages of growth (used with non-bearing orchards and vineyards, and truck, field, and grain crops). Example: C3-Y indicates young non-bearing oranges. All orchards 3 years or younger considered young. Walnuts 4 years and younger, as well as Citrus and Pistachios 5 years and younger given 'Y' special condition. ('Y') Z - RECLAMATION Land being leached for the removal of harmful salts. This symbol will be used following either the “Idle” symbol or symbols of crops grown as a step in the reclamation process. Example: I2-Z indicates new lands being leached in preparation for crop production. ('Z') SPECOND1 String 1 0 0 IRR_TYP1PA This field is the irrigation status for the first land use (either irrigated or non-irrigated). California Department of Water Resources All fields are presumed irrigated unless an ‘n’ for non-irrigated has been applied. This code refers to the status of the land, so a fallowed field will be mapped as "irrigated" if the field is usually irrigated when a crop has been planted, even if no water has been applied this year. IRR_TYP1PA String 1 0 0 IRR_TYP1PB This field is the type of irrigation system. California Department of Water Resources Types of irrigation system codes are: C - Center Pivot Sprinkler L - Linear Move Sprinkler R - Side Roll Sprinkler H - Hand Move Sprinkler P - Permanent Sprinkler T - Solid Set Sprinkler F - Furrow Irrigation B - Border Strip Irrigation N - Basin Irrigation W - Wild Flooding S - Subirrigation D - Surface Drip Irrigation A - Buried Drip Irrigation M - Micro Sprinkler E - LEPA (Low Energy Precision Application) U - Unknown or not mapped. IRR_TYP1PB String 1 0 0 PCNT1 This is the percentage of cropped area associated with the first land use, using text numerals. California Department of Water Resources The code “50” means 50%, the code “00” means 100%. A single, double, triple, quadruple, and intercropped (“S”, “D”, “T”, “Q”, and “I”) land use will display their true percentage value in this field and not necessarily "00" (100%). A mixed land use (“M”) will always have a code in this field, but it will be less than 100% (for further details, see MULTIUSE definition, above). PCNT1 String 2 0 0 CLASS2 The Main Season (summer) crop classified on the field for Single cropped fields. The second crop in the water year for Double, Triple, and Quadruple cropped fields. California Department of Water Resources See CLASS1 for detail CLASS2 String 2 0 0 SUBCLASS2 See SUBCLASS1 for details. California Department of Water Resources See SUBCLASS1 for detail SUBCLASS2 String 2 0 0 SPECOND2 See SPECOND1 for details. California Department of Water Resources See SPECOND1 for detail SPECOND2 String 1 0 0 IRR_TYP2PA See IRR_TYP1PA for details. California Department of Water Resources See IRR_TYP1PA for detail IRR_TYP2PA String 1 0 0 IRR_TYP2PB See IRR_TYP1PB for details. California Department of Water Resources See IRR_TYP1PB for detail IRR_TYP2PB String 1 0 0 PCNT2 Percentage of the area covered by the crop for CLASS2 crop. California Department of Water Resources Percentage of the area covered by the crop for CLASS2 (ranging from 0 - 100%). See PCNT1 for details. PCNT2 String 2 0 0 CLASS3 This field is the third crop or other land use identified on a field. (See CLASS1 for list details and descriptions) California Department of Water Resources See CLASS1 for list detail CLASS3 String 2 0 0 SUBCLASS3 See SUBCLASS1 for details. California Department of Water Resources See SUBCLASS1 for detail SUBCLASS3 String 2 0 0 SPECOND3 See SPECOND1 for details. California Department of Water Resources See SPECOND1 for detail SPECOND3 String 1 0 0 IRR_TYP3PA See IRR_TYP1PA for details. California Department of Water Resources See IRR_TYP1PA for detail IRR_TYP3PA String 1 0 0 IRR_TYP3PB See IRR_TYP1PB for details. California Department of Water Resources See IRR_TYP1PB for detail IRR_TYP3PB String 1 0 0 PCNT3 Percentage of the area covered by the crop for CLASS3 crop. California Department of Water Resources Percentage of the area covered by the crop for CLASS3 (ranging from 0 - 100%). See PCNT1 for details. PCNT3 String 2 0 0 CLASS4 The fourth crop or other land use identified on a field. (See CLASS1 for list details and descriptions) California Department of Water Resources See CLASS1 for list detail CLASS4 String 2 0 0 SUBCLASS4 See SUBCLASS1 for details. California Department of Water Resources See SUBCLASS1 for detail SUBCLASS4 String 2 0 0 SPECOND4 See SPECOND1 for details. California Department of Water Resources See SPECOND1 for detail SPECOND4 String 1 0 0 IRR_TYP4PA See IRR_TYP1PA for details. California Department of Water Resources See IRR_TYP1PA for detail IRR_TYP4PA String 1 0 0 IRR_TYP4PB See IRR_TYP1PB for details. California Department of Water Resources See IRR_TYP1PB for detail IRR_TYP4PB String 1 0 0 PCNT4 Percentage of the area covered by the crop for CLASS4 crop. California Department of Water Resources Percentage of the area covered by the crop for CLASS4 (ranging from 0 - 100%). See PCNT1 for details. PCNT4 String 2 0 0 UCF_ATT This field is 37 characters string concatenation of all field survey attributes starting from the MULTIUSE field to the PCNT4 field. The summary string is used for analysis and review in the QA/QC process and for processing data in some raster formats. Beginning character positions of attribute substrings within the UCF_ATT text are listed below: 1 MULTIUSE 2 CLASS1 4 SUBCLASS1 6 SPECOND1 7 IRR_TYP1PA 8 IRR_TYP1PB 9 PCNT1 11 CLASS2 13 SUBCLASS2 15 SPECOND2 16 IRR_TYP2PA 17 IRR_TYP2PB 18 PCNT2 20 CLASS3 22 SUBCLASS3 24 SPECOND3 25 IRR_TYP3PA 26 IRR_TYP3PB 27 PCNT3 29 CLASS4 31 SUBCLASS4 33 SPECOND4 34 IRR_TYP4PA 35 IRR_TYP4PB 36 PCNT4 Columns CLASS 2 through PCNT2 reflect attributes for single cropped fields, as well as the second crop on the field for multicropped fields. California Department of Water Resources Concatenation of fields from MULTIUSE through PCNT4. UCF_ATT String 80 0 0 CROPTYP1 This field is a four character string from the concatenation of CLASS1 and SUBCLASS1, stripped of all spaces and asterisks (**). California Department of Water Resources Concatenation of CLASS1 and SUBCLASS1, stripped of all spaces and asterisks (**). CROPTYP1 String 4 0 0 ADOY1 This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date corresponding to CROPTYP1. Negative numbers represent year 2018 peak dates, and positive numbers represent year 2019 peak date. For example: -92 = Crop peak NDVI date of October 1, 2018 -1 = Crop peak NDVI date of December 31, 2018 1 = Crop peak NDVI date of January 1, 2019 273 = Crop peak NDVI date of September 30, 2019 A <NULL> value was used when no peak date was determined by Land IQ. California Department of Water Resources Codes for this field are as following: Positive ADOY values correspond to year 2019 Julian date (1 = January 1, 2019 through 273 = September 30, 2019) for peak NDVI. However, negative values correspond to Julian date prior to year (-92 = October 1, 2018 through -1 = December 31, 2018) A <NULL> value was used when no peak date was determined by Land IQ. ADOY1 Double 8 38 8 CROPTYP2 This field is a four character string from the concatenation of CLASS2 and SUBCLASS2, stripped of all spaces and asterisks (**). California Department of Water Resources Concatenation of CLASS2 and SUBCLASS2, stripped of all spaces and asterisks (**). CROPTYP2 String 4 0 0 ADOY2 This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date received by Land IQ. The date This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date corresponding to CROPTYP2. See ADOY1 for detail. California Department of Water Resources See ADOY1 for detail. ADOY2 Double 8 38 8 CROPTYP3 This field is a four character string from the concatenation of CLASS3 and SUBCLASS3, stripped of all spaces and asterisks (**). California Department of Water Resources Concatenation of CLASS3 and SUBCLASS3, stripped of all spaces and asterisks (**). CROPTYP3 String 4 0 0 ADOY3 This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date received by Land IQ. The date This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date corresponding to CROPTYP3. See ADOY1 for detail. California Department of Water Resources See ADOY1 for detail. ADOY3 Double 8 38 8 CROPTYP4 This field is a four character string from the concatenation of CLASS4 and SUBCLASS4, stripped of all spaces and asterisks (**). California Department of Water Resources Concatenation of CLASS4 and SUBCLASS4, stripped of all spaces and asterisks (**). CROPTYP4 String 4 0 0 ADOY4 This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date received by Land IQ. The date This is a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date corresponding to CROPTYP4. See ADOY1 for detail. California Department of Water Resources See ADOY1 for detail. ADOY4 Double 8 38 8 EMRG_CROP This field is a four character string from the concatenation of CLASS and SUBCLASS. Producer Defined Indicates an emerging crop at the end of the water year. Crops listed indicate that at the end of the water year (September 2019), crop activity was detected from a crop that reached peak NDVI in the following water year (2020 water year). This attribute is included to account for water use of crops that span multiple water years and are not exclusive to a single water year. It is indicative of early crop growth and initial water use in the current water year, but a majority of crop development and water use in the following water year. Crops listed in the ‘EMRG_CROP’ attribute will also be captured as the first crop (not Crop 1) in the following water year (2020 water year). These crops are not included in the 2019 UCF_ATT code as their peak date occurred in the following water year. EMRG_CROP String 80 0 0 REGION DWR Regional Office associated with the polygon. California Department of Water Resources REGION String 15 0 0 Acres Total land acreage for each individual polygon, given in U.S. acres. Note that land acres are not necessarily equal to the summation of crop acres if multiple crops were planted through the year. California Department of Water Resources ACRES Double 8 38 8 County Indicates the county that the centroid of each crop field resides in. Due to the size of the urban areas we did not attribute the county/counties for these features because some extended beyond a single county. Land IQ COUNTY String 25 0 0 LIQ_REPORT This is a 19 character string concatenation of the multicropping classification by Land IQ for Water Year 2019. Each crop is represented by four characters based on the combination of CLASS and SUBCLASS stripped of all ‘*’ and ‘ ‘ (space) characters, with a ‘ ‘ (space) between each crop. The code ‘****’ represents no crop reported by Land IQ for that season. Original Land IQ classifications reported for each polygon are preserved for comparison. California Department of Water Resources LIQ_REPORT String 30 0 0 MAIN_CROP Main Season Crop represents the crop grown during the dominant growing season. The dominant growing season was identified for each county based on cropping patterns and prevalence. The county associated with each field was determined as that within which the polygon centroid (inside the polygon) lies. Land IQ In the event of multi-cropping, the crop with the peak date nearest to the dominant growing season date was assigned to this column. In the event of perennial crops, the last crop classified in the series was assigned to this column. County MAIN_DATE Alameda 8/15/2019 Amador 8/15/2019 Butte 7/15/2019 Calaveras 8/15/2019 Colusa 7/15/2019 Contra Costa 7/15/2019 Del Norte 7/1/2019 El Dorado 8/15/2019 Fresno 8/15/2019 Glenn 7/15/2019 Humboldt 7/15/2019 Imperial 1/15/2019 Inyo 8/1/2019 Kern 8/15/2019 Kings 8/15/2019 Lake 8/15/2019 Lassen 8/15/2019 Los Angeles 8/15/2019 Madera 8/15/2019 Marin 8/15/2019 Mariposa 8/15/2019 Mendocino 8/15/2019 Merced 8/15/2019 Modoc 8/1/2019 Mono 8/1/2019 Monterey 9/15/2019 Napa 8/15/2019 Nevada 8/15/2019 Orange 7/15/2019 Placer 7/15/2019 Plumas 8/15/2019 Riverside 3/15/2019 Sacramento 8/15/2019 San Benito 8/15/2019 San Bernardino 4/15/2019 San Diego 8/15/2019 San Joaquin 8/15/2019 San Luis Obispo 8/15/2019 San Mateo 8/15/2019 Santa Barbara 8/15/2019 Santa Clara 8/15/2019 Santa Cruz 8/15/2019 Shasta 8/15/2019 Sierra 8/15/2019 Siskiyou 8/1/2019 Solano 7/15/2019 Sonoma 8/15/2019 Stanislaus 8/15/2019 Sutter 7/15/2019 Tehama 7/15/2019 Trinity 8/15/2019 Tulare 8/15/2019 Tuolumne 8/15/2019 Ventura 9/15/2019 Yolo 7/15/2019 Yuba 7/15/2019 MAIN_CROP String 80 0 0 MAIN_CROP_DATE Main Season Crop Date Land IQ This is equivalent to the Adjusted Day Of Year "ADOY#" affiliated with the crop that was selected as the main season crop. This value represents the peak date of crop production. It is reflected as a number value representing the Adjusted Day Of Year for peak NDVI (Normalized Difference Vegetation Index) date corresponding to MAIN_CROP Negative numbers represent year 2018 peak dates, and positive numbers represent year 2019 peak date. For example: -92 = Crop peak NDVI date of October 1, 2018 -1 = Crop peak NDVI date of December 31, 2018 1 = Crop peak NDVI date of January 1, 2019 273 = Crop peak NDVI date of September 30, 2019 A <NULL> value was used when no peak date was determined by Land IQ. MAIN_CROP_DATE Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 dataset EPSG 6.18.3(9.3.1.2) 411122 Simple FALSE 411122 TRUE TRUE 20240102