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The snow cover plays an important role in Himalayan region as it contributes a useful amount to the river discharge. So, besides estimating rainfall runoff, proper assessment of snowmelt runoff for ef...
In this paper, a practical scheme for assimilation of multi-temporal and multi-polarization ENVISAT ASAR data in rice crop model to map rice yield has been presented. To achieve this, rice distributio...
Uncertainty in spatial and temporal distribution of rainfall in regional crop yield simulations comprises a major fraction of the error on crop model simulation results. In this paper we used an Ens...
Representative real time information on snow depth and snow water equivalent is needed for several practical purposes, above all avalanche warning and flood forecast and control in spring. This study...
Snow as a water resource in mountains becomes more and more important as dryer and hotter conditions prevail in many continental areas worldwide. Even maritime or temperate zones such as western and ...
We present a computer efficient inversion software procedure enabling us to retrieve optimally, from operational Terra broadband surface albedo products, a series of key vegetation characteristics su...
Estimating environmental variables from satellite observation is often an ill-posed inversion problem. There are currently multiple satellite sensors available for monitoring land surface environmen...
"You cannot step into the same river twice". Perhaps this ancient quote is the best phrase to describe the dynamic nature of the earth system. If we regard the earth as a several mixed systems, we wan...
Accurate estimation of snow properties is important for effective water resources management especially in mountainous areas. In this work, we develop a snow data assimilation scheme based on ensemble...
Open source software (OSS) coding has tremendous advantages over proprietary software. These are primarily fuelled by high level programming languages (JAVA, C++, Python etc...) and open source geos...

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