The PowerSDI: an R-package for implementing and calculating the SPI and SPEI using data from the NASAPOWER project
Author:
Affiliation:
1. Instituto Agronômico, Brazil; Instituto Agronômico, Brazil
2. Instituto Agronômico, Brazil
Publisher
FapUNIFESP (SciELO)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0006-87052024000106200&tlng=en
Reference58 articles.
1. Evaluation of remotely sensed precipitation estimates from the NASA POWER project for drought detection over Jordan;Al-Kilani M. R;Earth Systems and Environment,2021
2. A Test of goodness of fit;Anderson T. W;Journal of the American Statistical Association,1954
3. Evaluation of NASA satellite- and model-derived weather data for simulation of maize yield potential in China;Bai J;Agronomy Journal,2010
4. Validation of temperature and rainfall data obtained by remote sensing for the State of Sao Paulo, Brazil;Bardin-Camparotto L;Revista Brasileira de Engenharia Agrícola e Ambiental,2013
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