Forcing variables relating to the hydrologic response of rainfall runoff modeling are known to play a major role in accuracy of predictions made. In this study, three hydro-climatic daily time step datasets were tested: conventional weather stations, the 8km gridded SAFRAN, and the 0.5° CFSR included in the 10,550km² Charente river basin, South-Wes...
In precision agriculture, most studies focus on spatial crop variability whereas temporal variability and its role in decision-making is equally important. The classical methods for temporal analysis have limitations, potentially resulting in information loss. A novel method based on a Bayesian functional Linear regression with Sparse Steps functio...
The emergence of smart meters has fostered the collection of massive data that support a better understanding of consumer behaviors and better management of water resources and networks. The main focus of this paper is to analyze consumption behavior over time; thus, we first identify the main weekly consumption patterns. This approach allows each ...
Since remote sensing was deployed to monitor fluctuation in vegetation at the Earth’s surface, Estimation of vegetation fractional coverage (VFC) in connection with drivers played a necessary significance in global energy cycle, ecological systems and climatic model simulation. This study addresses some categories of datasets that were derived from...
The glacial aquifer system in the United States is a major source of water supply but previous work on historical groundwater trends across the system is lacking. Trends in annual minimum, mean, and maximum groundwater levels for 205 monitoring wells were analyzed across three regions of the system (East, Central, West Central) for four time period...
We present time series of equilibrium-line altitude (ELA) measured from the end-of-summer snow line altitude computed using satellite images, for 43 glaciers in the western Alps over the 1984-2010 period. More than 120 satellite images acquired by Landsat, SPOT and ASTER were used. In parallel, changes in climate variables, summer cumulative positi...
CNPq-National Council for Scientific and Technological Development research funding agency [304338/2008-7 and 470739/2008-8]
CNPq-National Council for Scientific and Technological Development research funding agency [304338/2008-7 and 470739/2008-8]
This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes in the flood extent and in the context of emergency response. Time-series profiles of Land Surface Water Index (LSWI), Enhanced Vegetation Index (EVI), Normalized Difference Vegetation Index (NDVI) and Normalized Difference Snow Index (NDSI) are obt...
CNPq-National Council for Scientific and Technological Development research funding agency [304338/2008-7 and 470739/2008-8]
