Accuracies of Soil Moisture Estimations Using a Semi-Empirical Model over Bare Soil Agricultural Croplands from Sentinel-1 SAR Data

Autor: Giovanni Nico, Anthony M. Whitbread, Anil Kumar Hoskera, Mohammed Irshad Ahmed

Publikováno v: Remote sensing 12 (2020). doi:10.3390/rs12101664
info:cnr-pdr/source/autori:Hoskera, Anil Kumar; Nico, Giovanni; Ahmed, Mohammed Irshad; Whitbread, Anthony/titolo:Accuracies of Soil Moisture Estimations Using a Semi-Empirical Model over Bare Soil Agricultural Croplands from Sentinel-1 SAR Data/doi:10.3390%2Frs12101664/rivista:Remote sensing/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:12
Remote Sensing
Volume 12
Issue 10
Pages: 1664
Remote Sensing, Vol 12, Iss 1664, p 1664 (2020)

This study describes a semi-empirical model developed to estimate volumetric soil moisture (theta v) in bare soils during the dry season (March-May) using C-band (5.42 GHz) synthetic aperture radar (SAR) imagery acquired from the Sentinel-1 European

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ac58ffb056124026b959af44bed5e0a
https://doi.org/10.3390/rs12101664