Predicting paddy yield at spatial scale using optical and Synthetic Aperture Radar (SAR) based satellite data in conjunction with field-based Crop Cutting Experiment (CCE) data-Reference-Cited by-同舟云学术

Predicting paddy yield at spatial scale using optical and Synthetic Aperture Radar (SAR) based satellite data in conjunction with field-based Crop Cutting Experiment (CCE) data

Published:2020-12-30 Issue:6 Volume:42 Page:2046-2071
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ranjan Avinash Kumar¹^ORCID,Parida Bikash Ranjan¹^ORCID

Affiliation:

1. Department of Geoinformatics, School of Natural Resource Management, Central University of Jharkhand, Ranchi, Jharkhand, India

Funder

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1851063

Reference65 articles.

1. BACKSCATTER ANALYSIS USING MULTI-TEMPORAL SENTINEL-1 SAR DATA FOR CROP GROWTH OF MAIZE IN KONYA BASIN, TURKEY

2. Using SPOT data and leaf area index for rice yield estimation in Egyptian Nile delta

3. InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description

4. Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

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