Prediction of topsoil organic carbon based on vegetation indices derived from Landsat-8 OLI images in semiarid rangelands of Semnan province, Iran
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10488-6.pdf
Reference41 articles.
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2. Baig MHA, Zhang L, Shuai T, Tong Q (2014) Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sens Lett 5:423–431. https://doi.org/10.1080/2150704X.2014.915434
3. Bartholomeus HM, Schaepman ME, Kooistra L et al (2008) Spectral reflectance based indices for soil organic carbon quantification. Geoderma 145:28–36. https://doi.org/10.1016/j.geoderma.2008.01.010
4. Bhunia GS, Kumar Shit P, Pourghasemi HR (2019) Soil organic carbon mapping using remote sensing techniques and multivariate regression model. Geocarto Int 34:215–226. https://doi.org/10.1080/10106049.2017.1381179
5. Bouma J, McBratney A (2013) Framing soils as an actor when dealing with wicked environmental problems. Geoderma 200–201:130–139. https://doi.org/10.1016/j.geoderma.2013.02.011
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