Remote sensing of the Earth's soil color in space and time

A - Papers appearing in refereed journals

Rizzo, R., Wadoux, A. M., Dematte, J. A., Minasny, B., Barron, V., Ben-Dor, E., Francos, N., Savin, I., Poppiel, R., Silvero, N. E., Terra, F. D. S., Rosin, N. A., Rosas, J. T. F., Greschuk, L. T., Ballester, M. V., Gomez, A. M. R., Belllinaso, H., Safanelli, J. L., Chabrillat, S., Fiorio, P. R., Das, B. S., Malone, B. P., Zalidis, G., Tziolas, N., Tsakiridis, N., Karyotis, K., Samarinas, N., Kalopesa, E., Gholizadeh, A., Shepherd, K., Milewski, R., Vaudour, E., Wang, C. and Salama, E. S. M. 2023. Remote sensing of the Earth's soil color in space and time. Remote Sensing of Environment. 299 (15 December), p. 113845. https://doi.org/10.1016/j.rse.2023.113845

AuthorsRizzo, R., Wadoux, A. M., Dematte, J. A., Minasny, B., Barron, V., Ben-Dor, E., Francos, N., Savin, I., Poppiel, R., Silvero, N. E., Terra, F. D. S., Rosin, N. A., Rosas, J. T. F., Greschuk, L. T., Ballester, M. V., Gomez, A. M. R., Belllinaso, H., Safanelli, J. L., Chabrillat, S., Fiorio, P. R., Das, B. S., Malone, B. P., Zalidis, G., Tziolas, N., Tsakiridis, N., Karyotis, K., Samarinas, N., Kalopesa, E., Gholizadeh, A., Shepherd, K., Milewski, R., Vaudour, E., Wang, C. and Salama, E. S. M.
Abstract

Soil color is a key indicator of soil properties and conditions, exerting influence on both agronomic and environmental variables. Conventional methods for soil color determination have come under scrutiny due to their limited accuracy and reliability. In response to these concerns, we developed an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral measurements. This approach enables the creation of a global soil color map with a fine spatial resolution of 30 m x 30 m. The system initially identifies bare earth areas worldwide using reflectance bands acquired from Landsat 4 through Landsat 8 between 1985 and 2020. Soil color was quantified using the CIE-XYZ coordinates, utilizing 8005 soil spectral measurements within the visible range (380–780 nm) as ground truth data. We established transfer functions to convert Landsat reflectance bands to standardized XYZ color coordinates. These transfer functions were subsequently applied to images of bare surfaces, covering approximately 38.5% of the Earth's surface. We validated the resulting global soil color map using statistical indices derived from an independent set of ground-truth spectral data, demonstrating a high degree of agreement. By creating the world's first global soil color map, we have set a baseline for future spatial and temporal monitoring of soil conditions, thus enhancing our understanding and management of our planet's vital soil resources.

KeywordsSoil spectroscopy ; Spectral library; Color space models; Remote sensing; Landsat; Soil spatio-temporal monitoring
Year of Publication2023
JournalRemote Sensing of Environment
Journal citation299 (15 December), p. 113845
Digital Object Identifier (DOI)https://doi.org/10.1016/j.rse.2023.113845
Open accessPublished as non-open access
Output statusPublished
Publication dates
Online01 Dec 2023
Publication process dates
Accepted02 Oct 2023
PublisherElsevier Science Inc
ISSN0034-4257

Permalink - https://repository.rothamsted.ac.uk/item/98z08/remote-sensing-of-the-earth-s-soil-color-in-space-and-time

Restricted files

Publisher's version

Under embargo indefinitely

20 total views
0 total downloads
4 views this month
0 downloads this month