A scalable satellite-based crop yield mapper-Reference-Cited by-同舟云学术

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A scalable satellite-based crop yield mapper

Published:2015-07 Issue: Volume:164 Page:324-333
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Lobell David B.,Thau David,Seifert Christopher,Engle Eric,Little Bertis

Funder

Terman Fellowship, Earth Engine Research Award

Betsy and Jesse Fink Foundation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference33 articles.

1. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean;Archontoulis;Environmental Modelling and Software,2014

2. Using satellite and field data with crop growth modeling to monitor and estimate corn yield in Mexico;Baez-Gonzalez;Crop Science,2002

3. Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project;Becker-Reshef;Remote Sensing,2010

4. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program;Boryan;Geocarto International,2011

5. A simplified approach for yield prediction of sugar beet based on optical remote sensing data;Clevers;Remote Sensing of Environment,1997

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