Combined Use of GF-3 and Landsat-8 Satellite Data for Soil Moisture Retrieval over Agricultural Areas Using Artificial Neural Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Type</td><td class="align_center">Sensor</td><td class="align_center">Spatial resolution (m)</td><td class="align_center">Date (dd/mm/yy)</td><td class="align_center">Retrieval purpose</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Microwave</td><td class="align_center">GF-3</td><td class="align_center">8</td><td class="align_center">27 May 2017</td><td class="align_center">Soil moisture</td></tr><tr><td class="align_left">Optical</td><td class="align_center">Landsat-8</td><td class="align_center">30</td><td class="align_center">30 May 2017</td><td class="align_center">Vegetation water content</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Satellite data characteristics used in this study.</div>

Advances in Meteorology

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Table 1

Table 1: Combined Use of GF-3 and Landsat-8 Satellite Data for Soil Moisture Retrieval over Agricultural Areas Using Artificial Neural Network 