SASYA: An integrated framework for crop biophysical parameter retrieval and within-season crop yield prediction with SAR remote sensing data-Reference-Cited by-同舟云学术

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SASYA: An integrated framework for crop biophysical parameter retrieval and within-season crop yield prediction with SAR remote sensing data

Published:2020-11 Issue: Volume:20 Page:100366
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Mandal Dipankar,Rao Y.S.

Funder

European Space Agency

DLR, Germany

Earth Observation Project

Wageningen University & Research Centre

GEO-AWS Earth Observation Cloud Credits Program

the Ministry of Human Resource Development, Government of India

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference52 articles.

1. Estimation of corn yield by assimilating SAR and optical time series into a simplified agro-meteorological model: from diagnostic to forecast;Ameline;IEEE J. Sel. Top. Appl. Earth Observ. Rem. Sens.,2018

2. Vegetation modeled as a water cloud;Attema;Radio Sci.,1978

3. Design and analysis of numerical experiments to compare four canopy reflectance models;Bacour;Rem. Sens. Environ.,2002

4. Multiyear independent validation of the water cloud model for retrieving maize leaf area index from sar time series;Beriaux;Int. J. Rem. Sens.,2013

5. Maize leaf area index retrieval from synthetic quad pol sar time series using the water cloud model;Bériaux;Rem. Sens.,2015

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