Rice crop growth monitoring with sentinel 1 SAR data using machine learning models in google earth engine cloud-Reference-Cited by-同舟云学术

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Rice crop growth monitoring with sentinel 1 SAR data using machine learning models in google earth engine cloud

Published:2023-11 Issue: Volume:32 Page:101029
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Singha Chiranjit,Swain Kishore Chandra^ORCID

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference57 articles.

1. Annual Report 2020-21,2021

2. Comparative analysis of different methods of leaf area index estimation of strawberry under Egyptian condition;Ali;Int. J. Adv.Remote Sens. GIS.,2019

3. Integrated method for rice cultivation monitoring using Sentinel-2 data and Leaf Area Index. The Egypt;Ali;J. Remot. Sens. Spac. Sci.,2021

4. Districtwise Estimates of Yield Rate and Production of Nineteen Major Crops of West Bengal during 2014-15,2020

5. Crop yield prediction using data analytics and hybrid approach;Bhosale,2018

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