Prediction of Soil Organic Carbon and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R-Reference-Cited by-同舟云学术

Prediction of Soil Organic Carbon and its Mapping Using Regression Analyses and Remote Sensing Data in GIS and R

Published:2019 Issue: Volume: Page:429-450
ISSN:
Container-title:Spatial Modeling in GIS and R for Earth and Environmental Sciences
language:
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Author:

Bhunia Gouri Sankar,Shit Pravat Kumar,Pourghasemi Hamid Reza,Edalat Mohsen

Publisher

Elsevier

Reference61 articles.

1. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas;Baratia;The Egyptian Journal of Remote Sensing and Space Science,2011

2. Total carbon and nitrogen in the soils of the world;Batjes;European Journal of Soil Science,1996

3. Carbon losses from all soils across England and Wales 1978–2003;Bellamy;Nature,2005

4. Groundwater potential mapping in Dulung watershed using remote sensing & GIS techniques, West Bengal;Bera;International Journal of Scientific and Research Publications,2012

5. Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC);Bhunia;Journal of the Saudi Society of Agricultural Sciences,2018

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