20210526 13311300 FGDC CSDGM Metadata FALSE UrbanMapping_crop2016 -124.375251 -114.132542 32.540499 42.003043 1 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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igAooooAKiltYJzulhjdtu3cVGQPTNS0UAcdr2graWmo3KyyyW08WGjY7mRuApyew9zwO+M1H4HU 3GlqQzxCGQ+YRtXeeCOQMlfr6nk9B2M8Sz28kLgFZFKkEZGCMVxHhfQbq1upYzCsWxNszz25O5sj 5VOcEcZz05HApbaAdDbabZ2d/NrCRyWgZWSaIDCttYgOQOOnP5HjnMula/Z6tc3dvAwMls5U4OQy 5wGBrUzlcjjI4yK43w34U1PSNekv7m5tmjdXVhHkFsnPTAA6ZpgdHBpMEGsXGpAs000axgHoijqB 9Tya0KiKTGdG84CMA7kCfePrnP1qWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k= Muffet Wilkerson California Department of Water Resources Senior Environmental Scientist (Supervisor) 916-651-9650 PO Box 942836 Sacramento CA 94236-0001 Muffet.Wilkerson@water.ca.gov 20210317 ArcGIS Metadata 1.0 Enterprise Geodatabase Feature Class i15_Crop_Mapping_2016 2019-11-22 2019.11.22 Joel Kimmelshue, Land IQ, LLC, Owner (Originator), Land IQ, LLC, Owner (Originator), Owner vector digital data CDWR (2019). 2016 California Statewide Agricultural Land Use , California Department of Water Resources, website: https://gis.water.ca.gov/app/CADWRLandUseViewer/ This dataset represents the 2016 main season agricultural land use, wetlands, and urban boundaries for all 58 counties in California. This data was originally prepared by Land IQ, LLC and provided to the California Department of Water Resources (DWR) and other resource agencies involved in work and planning efforts across the state for current land use information. The Land IQ base data was reviewed, and in some cases revised, by DWR Regional Office Land Use staff using additional analyses based on a combination of aerial photography, remote sensing multi-spectral imagery, agronomic analysis and ground verification. Revised crops and conditions 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_revised' data field. Each polygon classification is consistent with DWR attribute standards, however some of DWR's traditional attribute definitions are modified and extended to accomodate 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 (see 'Contacts').Revisions were made if: - DWR corrected the original crop classification based on local knowledge and analysis, - 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 less than 100% of 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 (‘Mixed’ was added to the MULTIUSE column; the crop classification and corresponding area percentages were indicated),- DWR determined that the crop was not irrigated.- DWR identified a distinct early 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).Land use boundaries were delineated by Land IQ from 2016 NAIP Imagery and were not revised by DWR. This dataset represents a statewide, comprehensive, field-scale assessment of agricultural land use, as well as urban and wetland boundaries for the 2016 year. This dataset is meant to provide information for resource planning and assessments across multiple agencies and serves as a consistent base layer for a broad array of potential users and multiple end uses. 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 (see 'Contacts'). 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 3.1, dated September 11, 2019. 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. The official DWR GIS steward for the statewide compilation of this data is Muffet Wilkerson, who may be contacted at 916-651-9650, or at Muffet.Wilkerson@water.ca.gov. Comments, problems, improvements, updates, or suggestions should be forwarded to the official GIS steward as available and appropriate. 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). Jeff A. Smith California Department of Water Resources, North Central Regional Office Senior Land Use Supervisor (916) 376-9660 3500 Industrial Blvd. West Sacramento CA 95691 Jeff.A.Smith@water.ca.gov State of California 2016 boundaries environment farming ISO 19115 Topic Category Imagery Urban Planning Satellite imagery Ground truth Crop Raster Landsat Land cover Irrigated land 2016 Multispectral analysis Vector Digital imagery Image classification Aerial photography Land use Survey Boundaries Agriculture boundaries environment farming Imagery Urban Planning Satellite imagery Ground truth Crop Raster Landsat Land cover Irrigated land 2016 Multispectral analysis Vector Digital imagery Image classification Aerial photography Land use Survey Boundaries Agriculture State of California 2016 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. The official DWR GIS steward for the statewide compilation of this data is Muffet Wilkerson, who may be contacted at 916-651-9650, or at Muffet.Wilkerson@water.ca.gov. Comments, problems, improvements, updates, or suggestions should be forwarded to the official GIS steward as available and appropriate. None Public Domain Available upon request Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 true -124.375251 -114.132542 42.003043 32.540499 Unknown 2016-01-01 2016-12-31 A full report is available as submitted by Land IQ. Please contact Muffet Wilkerson for a file copy. Last metadata review date: 2019-11-15 Public Information (Government Code Section 6250-6265) Unclassified - No special procedures currently needed, 2013-April-25 Statewide attribute accuracy for crop classification is considered to be between 93.8% (mean) and 97.5% (median) for all crops combined. Accuracy varies between geographic regions. Land IQ accuracy assessment results. Data are considered logically consistent. Data are complete as of final delivery 10/18/2018 Locational quality for this mapping dataset was determined to be no better than +/- 8.0 meters. This statement has not been verified or approved by a licensed land surveyor. Locational quality was estimated at +/- 2.0 meters at a 95% confidence level when registered against NAIP reference imagery. Offset was measured in a randomly selected subset of approximately 10% of all fields. The NAIP reference image has a reported positional accuracy of 6.0 meters. Therefore, the combined locational quality is 8.0 meters. 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 employs advanced spatial statistical analysis approaches to determine prediction probabilities and inform QA/QC efforts. A rigorous QA/QC and analysis refinement process is employed to improve predictions on all lower probability fields. Individual fields (boundaries of homogeneous crop types representing true irrigated area, rather than legal parcel boundaries) are used so that each independent field could be analyzed independently and assigned to a crop class. The result represents the true irrigated 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 in order to retain the detail in Land IQ’s base mapping while providing a rolled-up legend consistent with DWR’s classification that groups some crops into categories. The legends and crop classes can be related and cross-referenced. 2.1 DATA COLLECTION Both aerial and satellite data resources were used for the overall classification. Aerial imagery provided by the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) was collected throughout the summer of 2016 by the USDA and 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 and available every 16 days and provided for temporal analysis throughout the growing season. Other satellite- based imagery provided by Sentinel was also utilized during the QA/QC process. While lower resolution than NAIP imagery, the overpass frequency is multiple times per month which is valuable for a visual analysis of the temporal characteristics for each crop (i.e. growing season). Ground truth data were collected during the 2016 growing season. These data were used for training and validation of the mapping analysis. Field data from over 17% of all irrigated land in California was collected. This represented 43,934 data points and 59 crop classes. This dataset was QA/QC’d to remove any repeated points within a single field or unrepresentative sample points (e.g., a declining orchard or intercropped field) and then split to provide for data training and to maintain a separate, independent validation dataset. Twenty five percent of the QA/QC’d ground truth data were then set aside for independent validation. Ground truth data was primarily collected in the Central Valley. However, for the first time, crop data was also collected in Siskiyou, Modoc, Lassen and Shasta counties. Analysis in areas that lacked ground truth data (coastal valleys and southern California) was performed using photo interpretation techniques in addition to imagery and classification approaches established in areas that were informed by training data. 2.2 ANALYSIS The Land IQ land use mapping unit is a field-scale layer focused on agricultural production areas greater than 2 acres across the state. More than 390,000 delineated fields are classified utilizing ground training examples and multiple image sources and dates. These images and ground truth data are used to develop classification algorithms for crop identification. Multiple selected image sources and timeframes serve as input data for the remote sensing classification process, along with comprehensive ground truth training samples. Ground truth data are reviewed and evaluated statistically to identify any samples considered unrepresentative (crops that are very stressed or sparse, for example). These data points are flagged and not used for training samples. The ground truthing data is then stratified based on Land IQ’s classification schema, with 75% of the data selected for model building and calibration, and the remaining 25% dedicated to independent accuracy assessment. These independent data are set aside and are not used during any stage of modeling process. A supervised classification algorithm was applied to classify delineated fields. The supervised classification used a random forest approach and is carried out county by county where training samples are available. Random Forest approaches are currently some of the highest performing for data classification and regression. They are advantageous because of their ability to classify large amounts of data with high accuracy. Random Forest approaches have other advantages over some more traditional classification methods like maximum likelihood algorithms and Classification and Regression Tree (CART). Random Forest algorithms are non-parametric and require no assumption of input data being normally distributed. They are flexible and can incorporate categorical and continuous input data and complex relationships within the dataset. Multiple geoprocessing tools were employed to assess the model dataset, including ArcGIS, ERDAS Imagine, and other open source statistical tools. These tools are used to generate spectral characteristics, textural characteristics, and temporal representations that are related to the specific attributes of each crop or land use. The input features are produced using satellite imagery from Landsat 8 OLI/TIRS sensors and NAIP collected during the growing season. Additional satellite imagery and ancillary inputs were used in some counties to supplement and improve the classification. These additional sources include the United States Geological Survey (USGS) National Elevation Dataset (NED) and the USDA Crop Data Layer (CDL 2016). Selected ground truth data and feature data are fed into the Random Forest algorithm for model building and calibration. A portion of these data are used for model calibration and the remainder is used for training Random Forest models. Multiple Random Forest models are assessed and compared to determine which is the highest performing for classification. The preferred Land IQ model is applied to all delineated fields to predict land cover type, as well as prediction confidence, which is used to inform QA/QC efforts. Classified fields with a lower confidence level are carefully reviewed by reviewing image resources using photo interpretation methods. Results are also cross-validated with ancillary data sources such as the coinciding USDA Crop Data Layer 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. The geospatial database is attributed with field size in acres, relevant county, and the appropriate crop classification category per the Land IQ legend. 2. 2.3 ACCURACY ASSESSMENT After completion of the final classification dataset, a comprehensive accuracy assessment is completed. Independent ground truthing samples set aside for this purpose (25% of the final ground truth data) are used in this process. A stratified random sampling method is used for accuracy assessment sample selection. The datasets are stratified by land cover type and county boundary. In the 2016 analysis, more than 10,100 samples were selected for accuracy assessment. These sites are not used to train the classification algorithm and therefore represent unbiased reference information. contract, dataset stewards Land IQ California 2016 DWR 0 atlas_dev.SDE.i15_Crop_Mapping_2016 Feature Class 0 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 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'. Department of Water Resources DWR_revise String 1 0 0 Symb_class Class code used for Main Season (summer) symbology. Department of Water Resources Symb_class String 4 0 0 MULTIUSE This field indicates whether sequential or concurrent land uses are mapped within the area represented by a polygon. Polygons where a sequence of one to three crops were planted in succession are coded as: S - a single land use or crop D - double cropped: two crops grown in sequence, or T – triple cropped: three 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. California Department of Water Resources S A single land use or crop. ‘00’, ‘**’, ‘**’ where PCNT1 is usually100%, PCNT2 and PCNT3 are 0%. DWR D Double cropped: two crops grown in sequence. ‘00’, ‘00’, ‘**’ where PCNT1, PCNT2 are usually 100%, PCNT3 is 0%. DWR T Triple cropped: three crops grown in sequence. ‘00’, ‘00’, ‘00’ where PCNT1, PCNT2, PCNT3 are usually 100%. DWR I Intercropped: orchards or vineyards with an annual crop planted between the rows. ‘00’, ‘50’, ‘**’ where PCNT1 is always 100%, PCNT2 is always 50 % and PCNT3 is 0%. DWR M Mixed use: A single polygon area that represents a mixture of two or three land uses. PCNT1, PCNT2 and PCNT3 values are proportional to corresponding land use codes and the sum always equals 100%. PCNT3 may be ‘**’ if the mixture consists of only two land uses. DWR MULTIUSE String 1 0 0 CLASS1 This is 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 2016 data set, all Main Season summer crop data begins in column CLASS2; only distinct early crops (MULTIUSE = 'D', 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. 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 '). Two new CLASS codes were used to align Land IQ values with the DWR Standard Land Use Legend: 'X ' - Unclassified fallow (Idle status could not be determined solely within the 2016 calendar), 'YP' - Young Perennial DWR R R - Rice (' R') DWR G Grain and hay crops (' G) DWR F F - Field crops (' F') DWR P P - Pasture (' P') DWR T T - Truck, nursery, and berry crops (' T') DWR D D - Deciduous fruits and nuts (' D') DWR C C - Citrus and subtropical (' C') DWR V V - Vineyards (' V') DWR I I - Idle (' I') DWR S S - Semi-agricultural and incidental to agriculture ('S ') DWR U U - Urban - residential, commercial, and industrial, unsegregated ('U ') DWR UR UR - Urban residential - single and multi-family units, includes trailer parks ('UR') DWR UC UC - Urban commercial ('UC') DWR UI UI - Urban industrial ('UI') DWR UV UV - Urban vacant ('UV') DWR NC NC - Native classes, unsegregated ('NC') DWR NV NV - Native vegetation ('NV') DWR NR NR - Native riparian vegetation ('NR') DWR NW NW - Water surface ('NW') DWR NB NB - Barren and wasteland ('NB') DWR NS NS - Not surveyed ('NS') DWR E E - Entry denied - area within the study area that was not mapped because entry into the area was denied ('E ') DWR Z Z - Outside of the study area ('Z ') DWR X X - Not cropped, or unclassified ('X ') DWR YP YP - Young Perennial orchard or vineyard ('YP') DWR 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 accomodate Land IQ classifications for remote-sensing purposes. Subclasses used in this 2016 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', '**') 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', '**') 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 ('**') California Department of Water Resources, Standard Land Use Legend (2016) 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 letter. 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. ('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') California Department of Water Resources A 'A' - Abandoned orchards and vineyards DWR Land Use Legend (August 2016) B 'B' - Burned over areas DWR Land Use Legend (August 2016) C 'C' - Green chopped DWR Land Use Legend (August 2016) D 'D' - High density orchards DWR Land Use Legend (August 2016) E 'E' - Ecosystem restoration DWR Land Use Legend (August 2016) F 'F' - Fallow lands DWR Land Use Legend (August 2016) G 'G' - Cover crop DWR Land Use Legend (August 2016) H 'H' - Harvested crop DWR Land Use Legend (August 2016) K 'K' - Freeways DWR Land Use Legend (August 2016) P 'P' - Fallowing program land DWR Land Use Legend (August 2016) R 'R' - Recreational DWR Land Use Legend (August 2016) S 'S' - Seed crop DWR Land Use Legend (August 2016) T 'T' - Tilled land DWR Land Use Legend (August 2016) U 'U' - Interpreted landuse DWR Land Use Legend (August 2016) X 'X' - Partially irrigated crop DWR Land Use Legend (August 2016) Y 'Y' - Young crop DWR Land Use Legend (August 2016) Z 'Z' - Reclamation DWR Land Use Legend (August 2016) SPECOND1 String 1 0 0 IRR_TYP1PA This is the irrigation status for the first land use (either irrigated or non-irrigated). i - The letter “i” is used if the land use is irrigated, ('i') n - The letter “n” is used if the land use is non-irrigated. ('n') 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. California Department of Water Resources i 'i' - Irrigated DWR Land Use Legend (August 2016) n 'n' - Non-irrigated DWR Land Use Legend (August 2016) IRR_TYP1PA String 1 0 0 IRR_TYP1PB This is the type of irrigation system at the time of survey. If the land use is not irrigated (IRR_TYP1PA ='n’), this field will contain ‘*’. If the land use is irrigated (IRR_TYP1PA ='i'), one of the following codes is required: C - Center Pivot Sprinkler ('C') L - Linear Move Sprinkler ('L') R - Side Roll Sprinkler ('R') H - Hand Move Sprinkler ('H') P - Permanent Sprinkler ('P') T - Solid Set Sprinkler ('T') F - Furrow Irrigation ('F') B - Border Strip Irrigation ('B') N - Basin Irrigation ('N') W - Wild Flooding ('W') S - Subirrigation ('S') D - Surface Drip Irrigation ('D') A - Buried Drip Irrigation ('A') M - Micro Sprinkler ('M') E - LEPA (Low Energy Precision Application) ('E') U - Unknown or not mapped ('U') California Department of Water Resources A 'A' - Buried drip irrigation DWR Land Use Legend (August 2016) B 'B' - Border strip irrigation DWR Land Use Legend (August 2016) C 'C' - Center pivot sprinkler DWR Land Use Legend (August 2016) D 'D' - Surface drip irrigation DWR Land Use Legend (August 2016) E 'E' - LEPA (Low Energy Precision Application) DWR Land Use Legend (August 2016) F 'F' - Furrow irrigation DWR Land Use Legend (August 2016) H 'H' - Hand move sprinkler DWR Land Use Legend (August 2016) L 'L' - Linear move sprinkler DWR Land Use Legend (August 2016) M 'M' - Micro sprinkler DWR Land Use Legend (August 2016) N 'N' - Basin irrigation DWR Land Use Legend (August 2016) P 'P' - Permanent sprinkler DWR Land Use Legend (August 2016) R 'R' - Side roll sprinkler DWR Land Use Legend (August 2016) S 'S' - Subsurface irrigation DWR Land Use Legend (August 2016) T 'T' - Solid set sprinkler DWR Land Use Legend (August 2016) U 'U' - Unknown or not mapped DWR Land Use Legend (August 2016) W 'W' - Wild flooding DWR Land Use Legend (August 2016) IRR_TYP1PB String 1 0 0 PCNT1 This is the percentage of land associated with the first land use, using text numerals. The code “50” means 50%, the code “00” means 100%. A mixed land use (“M”) will always have a code in this field also, but it will be less than 100%. DWR 0 100 Percentile 1 PCNT1 String 2 0 0 CLASS2 The Main Season (summer) crop classified on the field, or the second crop component in a Mixed Use field (See CLASS1 for list details and descriptions). DWR CLASS2 String 2 0 0 SUBCLASS2 The Main Season (summer) crop subclass on the field, or the second crop component in a Mixed Use field (See SUBCLASS1 for list details and descriptions). DWR SUBCLASS2 String 2 0 0 SPECOND2 for the Main Season (summer) crop. See SPECOND1 for details. DWR SPECOND2 String 1 0 0 IRR_TYP2PA for the Main Season (summer) crop. See IRR_TYP1PA for details. DWR IRR_TYP2PA String 1 0 0 IRR_TYP2PB for the Main Season (summer) crop. See IRR_TYP1PB for details. DWR IRR_TYP2PB String 1 0 0 PCNT2 for the Main Season (summer) crop. See PCNT1 for details. DWR 0 100 Percentile 1 PCNT2 String 2 0 0 CLASS3 The third crop or other land use identifed on a field. (See CLASS1 for list details and descriptions) DWR CLASS3 String 2 0 0 SUBCLASS3 See SUBCLASS1 for details. DWR SUBCLASS3 String 2 0 0 SPECOND3 See SPECOND1 for details. DWR SPECOND3 String 1 0 0 IRR_TYP3PA See IRR_TYP1PA for details. DWR IRR_TYP3PA String 1 0 0 IRR_TYP3PB See IRR_TYP1PB for details. DWR IRR_TYP3PB String 1 0 0 PCNT3 See PCNT1 for details. DWR 0 80 Percentile 10 PCNT3 String 2 0 0 UCF_ATT A string concatenation of all field survey attributes starting from the MULTIUSE field to the PCNT3 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 3 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 Columns CLASS2 through PCNT2 reflect Main season (summer) attributes. DWR Concatenation of prior fields: MULTIUSE through PCNT3. UCF_ATT String 28 0 0 CROPTYP1 CROPTYP1 represents the earliest season crop before Main Season (CROPTYP2), or one crop within a Mixed field.The specific crop or land use code is based on the combination of CLASS1 and SUBCLASS1 fields, with all leading or trailing spaces removed. For example, the CROPTYP code for Cotton is "F1" from the concatenation of CLASS1 = " F" and SUBCLASS1 = " 1". DWR CROPTYP1 String 4 0 0 CROPTYP2 This code represents the Main Season (summer) crop classified in 2016, See CROPTYP1 for details. DWR CROPTYP2 String 4 0 0 CROPTYP3 see CROPTYP1 for details. DWR CROPTYP3 String 4 0 0 Region DWR Regional Office associated with the polygon. DWR Region String 4 0 0 County Indicates the county in California that the centroid of each crop field resides in. Due to the size of many managed wetland and urban areas we did not attribute the county/counties for these features because some extended beyond a single county. Land IQ County String 50 0 0 Acres Acres Double 8 38 8 Comments Any user-provided comments DWR Comments String 125 0 0 Source Source of the boundary and original attribute information. DWR Source String 50 0 0 Crop2016 Land IQ crop classification for the year 2016 Land IQ Crop2016 String 50 0 0 Modified_By Name of person who last modified the record DWR Modified_By String 25 0 0 Date_Data_Refers_To Date the data refers to DWR Zhongwu Wang Name of last modifier pre-delivery LandIQ Date_Data_Refers_To String 25 0 0 Last_Modified_Date Date record was last modified DWR Coordinates defining the features. Last_Modified_Date Date 8 0 0 Shape Feature geometry. ESRI Shape Geometry 8 0 0 Coordinates defining the features. Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 dataset EPSG 5.3(9.0.0) Simple FALSE 0 TRUE TRUE