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Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter
Ensemble Kalman filter is a new sequential data assimilation algorithm which was originally developed for atmospheric and oceanographic data assimilation. It can be applied to calculate errorExpand
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A Simplified Data Assimilation Method for Reconstructing Time-Series MODIS NDVI Data
  • J. Gu, Xin Li, Chunlin Huang
  • Environmental Science, Computer Science
  • IGARSS - IEEE International Geoscience and…
  • 7 July 2008
TLDR
A simplified data assimilation method is proposed to reconstruct high-quality time-series MODIS NDVI data. Expand
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A Decision Support System for irrigation water allocation along the middle reaches of the Heihe River Basin, Northwest China
TLDR
To improve the water resource management of the inland river basins of northwestern China, a Decision Support System is developed to provide an operative computer platform for decision makers. Expand
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Snow Cover Variations and Controlling Factors at Upper Heihe River Basin, Northwestern China
TLDR
In this study, snow cover variations of the Upper Heihe River Basin (UHRB) during hydrological years 2003–2013 (September through August) is examined using the flexible multiday-combined MODIS snow cover products. Expand
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Improving Estimation of Evapotranspiration under Water-Limited Conditions Based on SEBS and MODIS Data in Arid Regions
TLDR
This study proposes a method for improving the estimation of surface turbulent fluxes in surface energy balance system (SEBS) model under water stress conditions using MODIS data. Expand
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Improving Mountainous Snow Cover Fraction Mapping via Artificial Neural Networks Combined With MODIS and Ancillary Topographic Data
  • J. Hou, Chunlin Huang
  • Environmental Science, Computer Science
  • IEEE Transactions on Geoscience and Remote…
  • 10 January 2014
TLDR
A multilayer feedforward artificial neural network is developed for mountainous fractional snow cover (FSC) mapping using Landsat Enhanced Thematic Mapper Plus images. Expand
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A Fast Back-Projection Algorithm Based on Cross Correlation for GPR Imaging
TLDR
In ground-penetrating radar imaging, the classic back-projection (BP) algorithm has an excellent reputation for imaging in layered mediums with convenience and robustness. Expand
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Monitoring snow cover variability (2000–2014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method
Abstract Monitoring the variability of snow cover is necessary and meaningful because snow cover is closely connected with climate and ecological change. In this work, 500 m resolution MODIS dailyExpand
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3D Ground Penetrating Radar to Detect Tree Roots and Estimate Root Biomass in the Field
TLDR
The objectives of this study were to detect coarse tree root and to estimate root biomass in the field by using an advanced 3D Ground Penetrating Radar (3D GPR) system. Expand
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Assessment of Snow Grain-Size Model and Stratigraphy Representation Impacts on Snow Radiance Assimilation: Forward Modeling Evaluation
TLDR
Two sets of experiments were performed to identify, respectively, the impacts of using different grain size models and simplified representations of snowpack stratigraphy on the predicted grain size evolution and the resulting radiance predictions. Expand
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