Estimating Soil Moisture Using Remote Sensing in Zimbabwe: A Review

Author:

Mujere Never,Muhoyi Hardlife

Publisher

Springer International Publishing

Reference37 articles.

1. Ahmad S, Kalra A, Stephen H (2010) Estimating soil moisture using remote sensing data: a machine learning approach. Adv Water Resour 33:69–80

2. Ahmad A, Zhang Y, Nichols S (2011) Review and evaluation of remote sensing methods for soil-moisture estimation. Society of photo-optical instrumentation engineers (SPIE). https://doi.org/10.1117/1.3534910. Downloaded From: https://www.spiedigitallibrary.org/journals/SPIE-Reviews. Accessed 4 Jan 2022

3. Arnold JE, Laymon C (2012) NASA Soil moisture study. http://wwwghcc.msfc.nasa.gov/landprocess/lp_home.html.

4. Bartsch A, Sabel D, Pathe C, Sinclair C, Vischel T, Doubkova M, Wagner W, Pegram G (2010a) Soil moisture dynamics from synthetic aperture radar for hydrometeorological applications in the southern African development community. International hydrological programme (IHP) and UNESCO, France

5. Bartsch A, Doubkova M, Wagner W (2010b) ENVISAT ASAR GM soil moisture for applications in Africa and Australia. In: Earth observation and water cycle science. Presented at the ESA SP-674, ESA SP-674, Italy, p 6

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