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 ...
Thanks to the large number of satellites, the multimission approach is becoming a viable method to integrate measurements and intensify the number of samples in space and time for monitoring the earth system. In this paper, we merged data from different satellite missions, optical sensors, and altimetry, for estimating daily river discharge through...
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...
Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region over a period of 6 years (2000–2005). Pixel-based lin...
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...
Groundwater is an important resource for multiple uses in South Africa. Hence, setting limits to its sustainable abstraction while assuring basic human needs is required. Due to prevalent data scarcity related to groundwater replenishment, which is the traditional basis for estimating groundwater availability, the present article presents a novel m...
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]
