Datasets related to crop residue, irrigation, and shortwave infra-red (SWIR) spectral reflectance, Talbot County, MD, May 2015
Dates
Acquisition
2015-05
Publication Date
2017-09-25
Citation
Quemada, Miguel, Hively, W.D., Daughtry, C.S.T., Lamb, B.T., and Shermeyer, J.S., 2017, Datasets related to crop residue, irrigation, and shortwave infra-red (SWIR) spectral reflectance, Talbot County, MD, May 2015: U.S. Geological Survey data release, https://doi.org/10.5066/F7FF3R8Z.
Summary
This posting contains field and satellite data collected in support of the scientific manuscript "Improved crop residue cover estimates by coupling spectral indices for residue and moisture." Quemada, M., W.D. Hively, C.S. Daughtry, B.T. Lamb, and J. Shermeyer. In review by Remote Sensing of Environment. In this study, field data were collected on May 15, 2015 and paired with reflectance data collected May 14th 2015. The manuscript compares portions of agricultural fields that were irrigated the day of imagery acquisitions with portions of the same fields not yet irrigated, using the contrast to derive a moisture correction algorithm for determination of percent crop residue cover. The data publication contains the following items: [...]
Summary
This posting contains field and satellite data collected in support of the scientific manuscript "Improved crop residue cover estimates by coupling spectral indices for residue and moisture." Quemada, M., W.D. Hively, C.S. Daughtry, B.T. Lamb, and J. Shermeyer. In review by Remote Sensing of Environment.
In this study, field data were collected on May 15, 2015 and paired with reflectance data collected May 14th 2015. The manuscript compares portions of agricultural fields that were irrigated the day of imagery acquisitions with portions of the same fields not yet irrigated, using the contrast to derive a moisture correction algorithm for determination of percent crop residue cover.
The data publication contains the following items:
1) wv3_northern_southern_mosaic_sr_may_14_tif.tif- Worldview-3 satellite imagery acquired May 14, 2015 and transformed to surface reflectance
2) Irrigated_wedges_v5_final_shapefiles_for_pulication.shp- A shapefile containing digitized boundaries for irrigated wedges (both dry and wet) used in this study. These wedges cover center pivot irrigated fields on a collaborating farm on the Eastern Shore of Maryland, near Hillsboro, MD.
3) SINDRI.csv- A spreadsheet documenting the wetness conditions for the various irrigated wedges used in the study, as well as mean spectral reflectance for Landsat and Worldview 3 bands as well as derived tillage and wetness indices, and the estimated percent crop residue cover. (SINDRI = Shortwave Normalized Difference Residue Index as described in the manuscript)
4) NDTI.csv- A spreadsheet documenting the wetness conditions for the various irrigated wedges used in the study, as well as mean spectral reflectance for Landsat and Worldview 3 bands as well as derived tillage and wetness indices, and the estimated percent crop residue cover. (NDTI = Normalized Difference Tillage Index as described in the manuscript)
5) Wedges Bands and Index.csv- A spreadsheet documenting the mean and standard deviations of spectral response of Worldview 3 bands and spectral indices for each digitized wedge.
6) Moisture_correction_bands_SINDRI.csv- A spreadsheet documenting the application and derivation of equations used in the moisture correction process. This sheet outputs a corrected fractional residue cover and also has estimates of standard error, residual standard error, residual mean squared error and range of the calculated fractional residue estimates. (for SINDRI correction only, SINDRI = Shortwave Normalized Difference Residue Index as described in the manuscript)
7) Moisture_correction_bands_NDTI.csv- A spreadsheet documenting the application and derivation of equations used in the moisture correction process. This sheet outputs a corrected fractional residue cover and also has estimates of standard error, residual standard error, residual mean squared error and range of the calculated fractional residue estimates. (for NDTI correction only, NDTI = Normalized Difference Tillage Index as described in the manuscript)
Supported manuscript: Quemada, M., W.D. Hively, C.S. Daughtry, B.T. Lamb, and J. Shermeyer. 2017. Improved crop residue cover estimates by coupling residue and water indices. Submitted to Remote Sensing of Environment. IP-087085
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Purpose
Publication of datasets supporting journal manuscript "Improved crop residue cover estimates by coupling residue and water indices" Quemada, M., W.D. Hively, C.S. Daughtry, B.T. Lamb, and J. Shermeyer. In review by Remote Sensing of Environment.
