Synergistic integration of optical and microwave satellite data for crop yield estimation-Reference-Cited by-同舟云学术

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Synergistic integration of optical and microwave satellite data for crop yield estimation

Published:2019-12 Issue: Volume:234 Page:111460
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Mateo-Sanchis Anna,Piles Maria,Muñoz-Marí Jordi,Adsuara Jose E.,Pérez-Suay Adrián,Camps-Valls Gustau

Funder

European Research Council

SEDAL

Spanish Ministry of Economy and Competitiveness

FEDER

Spanish Ministry of Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference75 articles.

1. Nonlinear distribution regression for remote sensing applications;Adsuara;IEEE Trans. Geosci. Remote Sens.,2019

2. Fitting autoregressive models for prediction;Akaike;Ann. Inst. Stat. Math.,1969

3. Comparing passive microwave with visible-to-near-infrared phenometrics in croplands of Northern Eurasia;Alemu;Remote Sens.,2017

4. Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs;Atzberger;Remote Sens.,2013

5. Spectral-agronomic Relationships of Corn, Soybean and Wheat Canopies;Bauer,1981

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