Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data: A Case Study of Selected South African Soils

Author:

MASHIMBYE Z.E.,CHO M.A.,NELL J.P.,DE CLERCQ W.P.,VAN NIEKERK A.,TURNER D.P.

Funder

Agricultural Research Council-Institute for Soil, Climate and Water (ARC-ISCW) of South Africa

National Research Foundation (NRF) of South Africa

Water Research Commission (WRC) of South Africa

Publisher

Elsevier BV

Subject

Soil Science

Reference40 articles.

1. Al-Khaier, F. 2003. Soil salinity detection using satellite remote sensing. MS. Dissertation, International Institute for Geo-information Science and Earth Observation and Utrecht University, Enschede.

2. Visible and near-infrared (0.4-1.1 μm) analysis of arid and semiarid soils;Ben-Dor;Remote Sens. Environ,1994

3. Using imaging spectroscopy to study soil properties;Ben-Dor;Remote Sens. Environ,2009

4. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data-a case study over clayey soils in Israel;Ben-Dor;Int. J. Remote Sens,2002

5. Hyperteach: Training in Imaging Spectroscopy;Bertel,2006

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