Synergetic use of Sentinel-1 and Sentinel-2 data for wheat-crop height monitoring using machine learning

This article belongs to the Special Issue titled 'Application of Remote Sensing and GIS in Agricultural Engineering'.

DATA AVAILABILITY STATEMENT : Data used in this study will be made available upon request.

Please read abstract in article.

The Council for Scientific and Industrial Research (CSIR), the Department of Science and Innovation (DSI), the Agricultural Research Council-Natural Resources and Engineering (ARC-NRE), and National Research Foundation (NRF).

http://www.mdpi.com/journal/agriengineering

Geography, Geoinformatics and Meteorology

SDG-02:Zero Hunger

SDG-09: Industry, innovation and infrastructure

SDG-15:Life on land