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Full-Text Articles in Physical and Environmental Geography
Integrated (Remote Sensing, Gis, And Modeling) Hydrological Investigation And Landslide Susceptibility Studies In The Arabian Shield, Talal Ghazi Alharbi
Integrated (Remote Sensing, Gis, And Modeling) Hydrological Investigation And Landslide Susceptibility Studies In The Arabian Shield, Talal Ghazi Alharbi
Dissertations
An integrated approach (remote sensing, geographical information systems [GIS], and modeling) was applied to conduct a number of hydrologic and environmental investigations in the Arabian Peninsula (AP) aimed at: (1) identifying the spatial and temporal climate change–related variations in precipitation over the AP using readily available, remotely acquired global precipitation data sets; (2) investigating the nature of the factors controlling the observed climatic variations; (3) estimating the partitioning of precipitation over the Red Sea Hills watersheds into runoff , recharge, and initial losses using calibrated continuous rainfall runoff models (Soil Water Assessment Tool [SWAT]); (4) identifying landslide (largely caused by …
Interannual Variations And Trends In Global Land Surface Phenology Derived From Enhanced Vegetation Index During 1982–2010, Xiaoyang Zhang, Bin Tan, Yunyue Yu
Interannual Variations And Trends In Global Land Surface Phenology Derived From Enhanced Vegetation Index During 1982–2010, Xiaoyang Zhang, Bin Tan, Yunyue Yu
GSCE Faculty Publications
Land surface phenology is widely retrieved from satellite observations at regional and global scales, and its long-term record has been demonstrated to be a valuable tool for reconstructing past climate variations, monitoring the dynamics of terrestrial ecosystems in response to climate impacts, and predicting biological responses to future climate scenarios. This study detected global land surface phenology from the advanced very high resolution radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 1982 to 2010. Based on daily enhanced vegetation index at a spatial resolution of 0.05 degrees, we simulated the seasonal vegetative trajectory for each individual pixel …