Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa-Reference-Cited by-同舟云学术

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Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa

Published:2017-06 Issue: Volume:194 Page:287-302
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Agutu N.O.,Awange J.L.,Zerihun A.,Ndehedehe C.E.,Kuhn M.,Fukuda Y.

Funder

Curtin University

Japan Society of Promotion of Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference119 articles.

1. A multivariate approach for persistence-based drought prediction: application to the 2010–2011 East African Drought;AghaKouchak;J. Hydrol.,2015

2. Accounting for uncertainties of the TRMM satellite estimates;AghaKouchak;Remote Sens.,2009

3. Drought in the Sahel;Agnew;GeoJournal,1999

4. Using the SPI to identify drought;Agnew;Drought Netw. News,2000

5. Soil moisture analyses at ECMWF: evaluation using global ground-based in situ observations;Albergel;J. Hydrometeorol.,2012

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