Data, code, and outputs for: Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data
Methodology for data collection and analysis is reported in: Walter, M., Castaño-Sánchez, J. P., Ewing, P., Galford, G. L, Kinnebrew, E., Knox, C. B., McCarthy, A. C., McIntosh, M. M., Peters, C., Turner, H. C., and Hammond Wagner, C. R. (2026). Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data. Remote Sensing Applications: Society and Environment.Data archival consists of:1) training data collected for agricultural land use in the state of Vermont for the year 20212) Google Earth Engine script for the analysis of publicly available remotely sensed data for the state of Vermont for the year 20213) Data product: map of agricultural land use classes for the state of Vermont in 20214) README file
Resources
5 resources available
-
Geodata ISO 19139 metadata
XML -
vt_classification_code.js
JS -
vt_reference_points.csv
CSV -
Walters_dataset_README.txt
TXT -
VT_CHPD.tif
TIF
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "005:18" ] |
| contactPoint |
{ "fn": "Hammond Wagner, Courtney, R.", "hasEmail": "mailto:Courtney.Hammond-Wagner@usda.gov" } |
| description | <p dir="ltr">Methodology for data collection and analysis is reported in: Walter, M., Castaño-Sánchez, J. P., Ewing, P., Galford, G. L, Kinnebrew, E., Knox, C. B., McCarthy, A. C., McIntosh, M. M., Peters, C., Turner, H. C., and Hammond Wagner, C. R. (2026). Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data. <i>Remote Sensing Applications: Society and Environment.</i></p><p dir="ltr">Data archival consists of:</p><p dir="ltr">1) training data collected for agricultural land use in the state of Vermont for the year 2021</p><p dir="ltr">2) Google Earth Engine script for the analysis of publicly available remotely sensed data for the state of Vermont for the year 2021</p><p dir="ltr">3) Data product: map of agricultural land use classes for the state of Vermont in 2021</p><p dir="ltr">4) README file</p> |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Geodata ISO 19139 metadata", "format": "xml", "accessURL": "https://geodata.nal.usda.gov/geonetwork/srv/api/records/8ab9b356-f1ec-4626-b323-3894a651c3fd/formatters/xml", "mediaType": "text/xml", "conformsTo": "https://www.isotc211.org/2005/gmd" }, { "@type": "dcat:Distribution", "title": "vt_classification_code.js", "format": "js", "mediaType": "text/plain", "downloadURL": "https://ndownloader.figshare.com/files/65598222" }, { "@type": "dcat:Distribution", "title": "vt_reference_points.csv", "format": "csv", "mediaType": "text/csv", "downloadURL": "https://ndownloader.figshare.com/files/65598225" }, { "@type": "dcat:Distribution", "title": "Walters_dataset_README.txt", "format": "txt", "mediaType": "text/plain", "downloadURL": "https://ndownloader.figshare.com/files/65598228" }, { "@type": "dcat:Distribution", "title": "VT_CHPD.tif", "format": "tif", "mediaType": "image/tiff", "downloadURL": "https://ndownloader.figshare.com/files/65598231" } ] |
| identifier | 10.15482/USDA.ADC/32592228.v1 |
| keyword |
[ "Vermont, USA", "agricultural gasslands", "agricultural land use classification", "machine learning", "remote sensing", "source code" ] |
| license | https://www.usa.gov/publicdomain/label/1.0/ |
| modified | 2026-06-26 |
| programCode |
[ "005:040" ] |
| publisher |
{ "name": "Agricultural Research Service", "@type": "org:Organization" } |
| spatial |
"{"type": "Point", "coordinates": [-72.70643822728597, 44.19007816368392]}"
|
| temporal | 2021-01-01/2021-01-31 |
| theme |
[ "geospatial" ] |
| title | Data, code, and outputs for: Accurate mapping of hay, pasture, and cropland in the Northeastern U.S. by combining multi-sensor remotely sensed time series data |
