Synthetic aperture radar and optical satellite data for estimating the biomass of corn-Reference-Cited by-同舟云学术

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Synthetic aperture radar and optical satellite data for estimating the biomass of corn

Published:2019-11 Issue: Volume:83 Page:101933
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Hosseini Mehdi,McNairn Heather,Mitchell Scott,Dingle Robertson Laura,Davidson Andrew,Homayouni Saeid

Funder

Carleton University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference40 articles.

1. Evaluating the Cloude-Pottier and Freeman-Durden scattering decompositions for distinguishing between unharvested and post-harvest agricultural fields;Adams;Can. J. Remote Sensing,2013

2. Estimation of total above-ground phytomass production using remotely sensed data;Asrar;Remote Sens. Environ.,1985

3. Vegetation modelled as a water cloud;Attema;Radio Sci.,1978

4. Estimating surface-soil moisture for retrieving maize leaf-area index from SAR data;Bériaux;Can. J. Remote Sensing,2011

5. Multiyear independent validation of the water cloud model for retrieving maize leaf area index from SAR time series;Bériaux;Int. J. Remote Sens.,2013

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2. Computational methods to retrieve soil moisture using remote sensing data: A review;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

3. Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics;GIScience & Remote Sensing;2024-06-28

5. A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing;Potato Research;2024-06-22

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