Two Years of Cotton (Gossypium hirsutum L.) Data from the Georgia Coastal Plain, USA

The sustainable management of Earth's complex ecosystems requires an abundance of field data to support long term stewardship. Remotely sensed satellite data provide crucial supplements to field measurements and are essential for deriving key operational products for monitoring Earth systems. However, to accurately calibrate and validate the models used to develop monitoring datasets, coincident field measurements are required. In 2018 and 2019, data related to cotton (Gossypium hirsutum L.) crops were collected from five fields in two farms located in Georgia, USA. Collections were timed to coincide with satellite overpasses to support the development of remote sensing-based crop and soil data products. Data collected include soil moisture, plant water content, above ground biomass, crop height, plant phenology, and field management practices (row direction, row spacing, and plant density). The datasets include 512 records collected in 2018 and 303 records collected in 2019. The data are archived in the National Agricultural Library Ag Data Commons repository and are available for use by researchers seeking crop and soil validation data.

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Publication Details

Journal
Scientific Data
Published
2024-09-27
DOI
https://doi.org/10.1038/s41597-024-03716-z
Citations
1
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.21

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article

Two Years of Cotton (Gossypium hirsutum L.) Data from the Georgia Coastal Plain, USA

Kathryn Pisarello, Michael H. Cosh, Alisa W. Coffin
1 citations
Scientific Data
Soil Moisture and Remote Sensing
0.21
article

Two Years of Cotton (Gossypium hirsutum L.) Data from the Georgia Coastal Plain, USA

Kathryn Pisarello, Michael H. Cosh, Alisa W. Coffin
article en
1 citations

Abstract

The sustainable management of Earth's complex ecosystems requires an abundance of field data to support long term stewardship. Remotely sensed satellite data provide crucial supplements to field measurements and are essential for deriving key operational products for monitoring Earth systems. However, to accurately calibrate and validate the models used to develop monitoring datasets, coincident field measurements are required. In 2018 and 2019, data related to cotton (Gossypium hirsutum L.) crops were collected from five fields in two farms located in Georgia, USA. Collections were timed to coincide with satellite overpasses to support the development of remote sensing-based crop and soil data products. Data collected include soil moisture, plant water content, above ground biomass, crop height, plant phenology, and field management practices (row direction, row spacing, and plant density). The datasets include 512 records collected in 2018 and 303 records collected in 2019. The data are archived in the National Agricultural Library Ag Data Commons repository and are available for use by researchers seeking crop and soil validation data.

Scientific DataVol. 11(1)
Agricultural Research Service (US), Southeast Watershed Research Laboratory (US)
National Aeronautics and Space Administration, U.S. Department of Agriculture, Agricultural Research Service
Openalex Percentile: Top 50%
Soil Moisture and Remote Sensing
0.21
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