Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022)

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 manuscripts 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. Item 14 includes spectra added to version 1.1 of this data release which correspond to a closely related 2022 research effort and publication.

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, 18, 3718. https://doi.org/10.3390/rs13183718.

Additional spectra processing techniques for item 14 are discussed in an additional publication by Lamb, B.T., Dennison, P., Hively, W.D., Kokaly, R.F., Serbin, G., Wu, Z., Dabney, P., Masek, J.G., Campbell, M., Daughtry, C.S.T. 2022. Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization. Remote Sensing (in press).
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/xxxxx

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