publication . Article . 2017

Estimation of the Instantaneous Soil Surface Moisture Content in Cold Seasons by using Optical and Thermal Remote Sensing Data under Clear Sky

H. Adab;
Open Access Persian
  • Published: 01 Aug 2017 Journal: علوم آب و خاک, volume 21, issue 2, pages 175-191 (issn: 2476-3594, eissn: 2476-5554, Copyright policy)
  • Publisher: Isfahan University of Technology
Abstract
A limited number of agricultural weather stations measure moisture in the soil surface. Furthermore, soil moisture information may be required in areas where there is no weather station. The aim of the present study was to use Landsat 8 satellite images to estimate soil surface moisture in an area without agricultural meteorological stations. Gravimetric soil moisture for a total of 14 samples was calculated in the cold season in depths of 0-10 cm when Landsat 8 satellite was overpassing poor rangeland of North of Sabzevar. Furthermore, the first four principal components were extracted from seven Landsat-derived vegetation indices and bio-physical factors affec...
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free text keywords: instantaneous soil surface moisture, optical and thermal remote sensing, neural network, Agriculture, S, Agriculture (General), S1-972, World Wide Web, Engineering, business.industry, business
Communities
Agricultural and Food Sciences
Rural Digital Europe
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