"10119","12","archive","1305",,,"disk0/00/01/01/19","2017-08-01 08:05:27","2017-08-01 08:05:27","2017-08-01 08:05:27","article",,,"show","Library-ICRISAT@CGIAR.ORG",,,"","","","","","","","","","",,,,"Xu","Y","","","","","","","Wani","S P","","","","",,,,,"","",,,,,"","","School of Natural Resource and Environment, University of Florida (Gainesville)","USA","Evaluating the effect of remote sensing image spatial resolution on soil exchangeable potassium prediction models in smallholder farm settings","pub","RS1","CRPS2","","restricted",,,"Remote sensing, DSM, Very fine resolution image, Soil exchangeable potassium, Smallholder farm settings, Digital Soil Mapping",,"Funding for this project was provided by the grant award No.
1201943 “Development of a Geospatial Soil-Crop Inference Engine
for Smallholder Farmers” EAGER National Science Foundation. The
soil analysis was performed in the soil laboratory at the International
Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
in Patancheru/Hyderabad, Telangana State, India. We thank Christopher
M. Clingensmith at University of Florida, and other ICRISAT
staff members and villagers of Kothapally for support with field
sampling. We also thank Yiming Xu's PhD committee members Dr.
Thomas K. Frazer and Dr. Vimala D. Nair for their guidance and
commitment. A matching assistantship for Yiming Xuwas provided
by School of Natural Resources and Environment, University of
Florida, and China Scholarship Council.","Major end users of Digital Soil Mapping (DSM) such as policy makers and agricultural extension workers
are faced with choosing the appropriate remote sensing data. The objective of this research is to analyze
the spatial resolution effects of different remote sensing images on soil prediction models in two
smallholder farms in Southern India called Kothapally (Telangana State), and Masuti (Karnataka State),
and provide empirical guidelines to choose the appropriate remote sensing images in DSM. Bayesian
kriging (BK) was utilized to characterize the spatial pattern of exchangeable potassium (Kex) in the
topsoil (0e15 cm) at different spatial resolutions by incorporating spectral indices from Landsat 8 (30 m),
RapidEye (5 m), and WorldView-2/GeoEye-1/Pleiades-1A images (2 m). Some spectral indices such as
band reflectances, band ratios, Crust Index and Atmospherically Resistant Vegetation Index from multiple
images showed relatively strong correlations with soil Kex in two study areas. The research also
suggested that fine spatial resolution WorldView-2/GeoEye-1/Pleiades-1A-based and RapidEye-based
soil prediction models would not necessarily have higher prediction performance than coarse spatial
resolution Landsat 8-based soil prediction models. The end users of DSM in smallholder farm settings
need select the appropriate spectral indices and consider different factors such as the spatial resolution,
band width, spectral resolution, temporal frequency, cost, and processing time of different remote
sensing images. Overall, remote sensing-based Digital Soil Mapping has potential to be promoted to
smallholder farm settings all over the world and help smallholder farmers implement sustainable and
field-specific soil nutrient management scheme.","2017-09-15","published",,"Journal of Environmental Management","200",,"Elsevier",,"423-433",,,,,,"10.1016/j.jenvman.2017.06.017",,,,,"TRUE",,"03014797",,,,,,"","http://dx.doi.org/10.1016/j.jenvman.2017.06.017","https://scholar.google.co.in/scholar?hl=en&q=Evaluating+the+effect+of+remote+sensing+image+spatial+resolution+on+soil+exchangeable+potassium+prediction+models+in+smallholder+farm+settings&btnG=","pub",,"","",,,,,,"",,,,,,,"",,,,,"",,,,,"","",,,,,"","",,,,,
"10119",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Smith","S E","","",,,,,,,,,,,,,,,,,,,,,,,"School of Forest Resources and Conservation – Geomatics Program, University of Florida (Gainesville)","China",,,"S40006",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"10119",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Grunwald","S","","",,,,,,,,,,,,,,,,,,,,,,,"Department of Environmental Science and Engineering, Beijing Technology and Business University (Beijing)","India",,,"SM1",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"10119",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Abd-Elrahman","A","","",,,,,,,,,,,,,,,,,,,,,,,"Pedometrics, Landscape Analysis and GIS Laboratory, Soil and Water Science Department, University of Florida (Gainesville)",,,,"s72",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"10119",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Wani","S P","","",,,,,,,,,,,,,,,,,,,,,,,"Gulf Coast REC/School of Forest Resources and Conservation – Geomatics Program, University of Florida (Plant City)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
"10119",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"ICRISAT (Patancheru)",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,