Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover

This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices(ASD)FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscript referenced below.
Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties.
The data provided here, and the processes used to calculate and analyze them, are further discussed in Hively, W.D., Lamb, B.T., Daughtry, C.S.T., Serbin, G., Dennison, P., Kokaly, R.F., Wu, Z., and Masek, J., 2021. Evaluation of SWIR recommended crop residue bands for the Landsat Next mission. Remote Sensing, 13, x. https://doi.org/10.3390/rs13183718
Contents
1 ASD spectra for agricultural targets.csv
2 Gaussian spectra for agricultural targets.csv
3 Gaussian atm spectra for agricultural targets.csv
4 Boxcar spectra for agricultural targets.csv
5 Crop residue spectra.csv
6 Soil spectra.csv
7 MODTRAN mean reflectance and calculated radiance.csv
8 Gaussian spectra for shrubs and grassland targets.csv
9 Gaussian atm spectra for shrubs and grassland targets.csv
10 Index gaussian correlation output for agricultural targets.csv
11 Index boxcar correlation output for agricultural targets.csv
12 Index correlation output for shrubs and grassland targets.csv
13 Sensor radiometric properties.csv

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:6140e093d34e1449c5d600f2
metadata_type geospatial
modified 20220504
old-spatial -76.959228516145, 38.944567487259, -76.717529297404, 39.119516639505
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 63c8ad0c14cd4a8da6f86a486a0d714ba573e137
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-76.959228516145, 38.944567487259], [-76.959228516145, 39.119516639505], [ -76.717529297404, 39.119516639505], [ -76.717529297404, 38.944567487259], [-76.959228516145, 38.944567487259]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • crop-residue
  • geo
  • geoss
  • hyperspectral
  • national
  • north-america
  • remote-sensing
  • united-states
  • usgs-6140e093d34e1449c5d600f2
isopen False
license_id notspecified
license_title License not specified
maintainer W. Dean Hively
maintainer_email whively@usgs.gov
metadata_created 2025-11-21T19:37:57.869878
metadata_modified 2025-11-21T19:37:57.869882
notes This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices(ASD)FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscript referenced below. Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties. The data provided here, and the processes used to calculate and analyze them, are further discussed in Hively, W.D., Lamb, B.T., Daughtry, C.S.T., Serbin, G., Dennison, P., Kokaly, R.F., Wu, Z., and Masek, J., 2021. Evaluation of SWIR recommended crop residue bands for the Landsat Next mission. Remote Sensing, 13, x. https://doi.org/10.3390/rs13183718 Contents 1 ASD spectra for agricultural targets.csv 2 Gaussian spectra for agricultural targets.csv 3 Gaussian atm spectra for agricultural targets.csv 4 Boxcar spectra for agricultural targets.csv 5 Crop residue spectra.csv 6 Soil spectra.csv 7 MODTRAN mean reflectance and calculated radiance.csv 8 Gaussian spectra for shrubs and grassland targets.csv 9 Gaussian atm spectra for shrubs and grassland targets.csv 10 Index gaussian correlation output for agricultural targets.csv 11 Index boxcar correlation output for agricultural targets.csv 12 Index correlation output for shrubs and grassland targets.csv 13 Sensor radiometric properties.csv
num_resources 2
num_tags 12
title Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover