US Migrating
type: Agent

ArcGIS Hub Dataset
type: Distribution
access URL: https://gis.data.cnra.ca.gov/maps/66744a45fa8748c7ba1c3ef0be938da5_0
format: HTML
issued: 2022-08-08T13:21:55.159725
modified: 2025-11-22T09:44:32.170474

i15 Crop Mapping 2018
type: Dataset
contact point: Organization
keyword: crop
keyword: digital-imagery
keyword: vector
keyword: national
keyword: image-classification
keyword: survey
keyword: urban
keyword: multispectral-analysis
keyword: raster
keyword: 2018
keyword: land-use
keyword: north-america
keyword: agriculture
keyword: planning
keyword: satellite-imagery
keyword: geoss
keyword: united-states
keyword: geo
keyword: dwr
keyword: amerigeo
keyword: state-of-california
keyword: aerial-photography
keyword: california-department-of-water-resources
keyword: landsat
keyword: ckan
keyword: land-cover
keyword: imagery
keyword: irrigated-land
keyword: boundaries
keyword: amerigeoss
keyword: ground-truth
theme: Water}
theme: {"Natural Resources"
description: 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 Water Year 2018, covering over 9.4 million acres of Irrigable agriculture on a field scale and additional areas of urban extent. 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 and 2016 land use mapping, which classified over 14 million acres of land into Irrigable agriculture and urban area. Unlike the 2014 and 2016 datasets, the Water Year 2018 dataset includes multi-cropping and incorporates 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 true Irrigable 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 a…
issued: 2021-08-31T18:29:33+00:00
modified: 2022-02-16T19:25:24+00:00

GeoJSON
type: Distribution
access URL: https://gis.data.cnra.ca.gov/datasets/66744a45fa8748c7ba1c3ef0be938da5_0.geojson
media type: application/geo+json
format: GeoJSON
issued: 2022-08-08T13:21:55.159737
modified: 2025-11-22T09:44:32.171391

ArcGIS GeoService
type: Distribution
access URL: https://gis.water.ca.gov/arcgis/rest/services/Planning/i15_Crop_Mapping_2018/FeatureServer/0
media type: application/octet-stream
format: ArcGIS GeoServices REST API
issued: 2022-08-08T13:21:55.159733
modified: 2025-11-22T09:44:32.170949

CSV
type: Distribution
access URL: https://gis.data.cnra.ca.gov/datasets/66744a45fa8748c7ba1c3ef0be938da5_0.csv
media type: text/csv
format: CSV
issued: 2022-08-08T13:21:55.159740
modified: 2025-11-22T09:44:32.171826

Shapefile
type: Distribution
access URL: https://gis.data.cnra.ca.gov/datasets/66744a45fa8748c7ba1c3ef0be938da5_0.zip
media type: application/zip
format: ZIP
issued: 2022-08-08T13:21:55.159747
modified: 2025-11-22T09:44:32.172701

KML
type: Distribution
access URL: https://gis.data.cnra.ca.gov/datasets/66744a45fa8748c7ba1c3ef0be938da5_0.kml
media type: application/vnd.google-earth.kml+xml
format: KML
issued: 2022-08-08T13:21:55.159744
modified: 2025-11-22T09:44:32.172275