Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer-Reference-Cited by-同舟云学术

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Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer

Published:2017-02 Issue:2 Volume:16 Page:398-407
ISSN:2095-3119
Container-title:Journal of Integrative Agriculture
language:en
Short-container-title:Journal of Integrative Agriculture

Author:

Shrestha Ranjay,Di Liping,Yu Eugene G.,Kang Lingjun,SHAO Yuan-zheng,BAI Yu-qi

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference39 articles.

1. Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco;Balaghi;International Journal of Applied Earth Observation and Geoinformation,2008

2. Barr M N. 2009. Effects of the Upper Taum Sauk Reservoir Embankment Breach on the Surface-Water Quality and Sediments of the East Fork Black River and the Black River, Southeastern Missouri — 2006-07 (Report No. 2009–5111), Scientific Investigations Report. U.S. Geological Survey, USA.

3. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data;Becker-Reshef;Remote Sensing of Environment,2010

4. On the use of NDVI profiles as a tool for agricultural statistics: The case study of wheat yield estimate and forecast in Emilia Romagna;Benedetti;Remote Sensing of Environment,1993

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