Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Pérou → Estimación de índices de sequía mediante sensoramiento remoto integrando MODIS y TRMM en la cuenca andino -amazónica, Perú

Universidad Nacional Agraria La Molina (2018)

Estimación de índices de sequía mediante sensoramiento remoto integrando MODIS y TRMM en la cuenca andino -amazónica, Perú

Gutierrez Cori, Omar Efrain

Titre : Estimación de índices de sequía mediante sensoramiento remoto integrando MODIS y TRMM en la cuenca andino -amazónica, Perú

Auteur : Gutierrez Cori, Omar Efrain

Université de soutenance : Universidad Nacional Agraria La Molina

Grade : MAGISTER SCIENTIAE EN RECURSOS HÍDRICOS 2018

Résumé
This research analyzes the spatial and temporal variability of extreme drought indicators in the Peruvian Andean-Amazon basin obtained by remote sensors during the period 2001-2016. Data from the TERRA satellite were used to provide Land Surface Temperature (LST) and vegetation index (NDVI) data : products MOD11 and MOD13. Additionally, was used information from the TRMM satellite that provided daily precipitation : products 3B42 and 3B42-RT. In addition, was used observed and gridded precipitation information from the HYBAM observatory (HOP). Based on remote sensing, three indices were developed to characterize the interannual behavior of droughts in the basin : the Temperature Condition Index (TCI), the Vegetation Condition Index (VCI) and the Precipitation Condition Index (PCI). Based on these indices, levels of drought intensity were categorized as mild, moderate, severe and extreme. Through a basin-scale analysis, the indices show that the years 2005 and 2010 were years of extreme category droughts with +-30 percent of the basin area affected during 2005 and +-50 percent during the drought of 2010. On the other hand, the relationship between rainfall and vegetation was analyzed, and the volume of cumulated precipitation explains moderately the development of Andean-Amazonian vegetation (r = 0.34). However, the Dry Days Frequency (DDF) and NDVI values are significantly correlated (r = -0.86 for HOP data, r = -0.75 for 3B42 data and r = -0.68 for 3B42-RT data). This shows that high DDF values involve a decrease in vegetation conditions. This relationship is particularly significant in the south of the 6°S, which suggests that the vegetation in much of the Peruvian Amazon is limited by water factors. Finally, using a real-time precipitation estimation (TRMM 3B42-RT), an indicator (Dry Days Frequency - DDF) was developed for the continuous monitoring of extreme droughts with possible impacts on the vegetation of the Andean-Amazon basin. Présentation

Version intégrale (10,5 Mb)

Page publiée le 7 novembre 2020