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A mathematical programming approach to multi-attribute decision making with interval-valued intuitionistic fuzzy assessment information
TLDR
This article proposes an approach to handle multi-attribute decision making (MADM) problems under the interval-valued intuitionistic fuzzy environment, in which both assessments of alternatives on attributes (hereafter, referred to as attribute values) and attribute weights are provided as fuzzy numbers (IVIFNs). Expand
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Coupling the Modified Linear Spectral Mixture Analysis and Pixel-Swapping Methods for Improving Subpixel Water Mapping: Application to the Pearl River Delta, China
High-resolution water mapping with remotely sensed data is essential to monitoring of rainstorm waterlogging and flood disasters. In this study, a modified linear spectral mixture analysis (LSMA)Expand
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Spatiotemporal regression Kriging to predict precipitation using time-series MODIS data
TLDR
Theprecipitationvariables on raster grids must be predicted from point data. Expand
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Predicting the potential distribution of bamboo with species distribution models
  • J. Jin, H. Jiang, +4 authors Y. Wang
  • Environmental Science, Computer Science
  • 20th International Conference on Geoinformatics
  • 15 June 2012
TLDR
Using history climate data and two representative climate change scenarios, we predicted the potential distribution of bamboo in China from 1961 to 2099 based on specie distribution models. Expand
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Assimilating MODIS‐based albedo and snow cover fraction into the Common Land Model to improve snow depth simulation with direct insertion and deterministic ensemble Kalman filter methods
This study assesses the analysis performance of assimilating the Moderate Resolution Imaging Spectroradiometer (MODIS)-based albedo and snow cover fraction (SCF) separately or jointly into theExpand
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Estimating and source analysis of surface PM2.5 concentration in the Beijing–Tianjin–Hebei region based on MODIS data and air trajectories
ABSTRACT Particulate matter (PM) with an aerodynamic diameter of <2.5 μm (PM2.5) has become the primary air pollutant in most major cities in China. Some studies have indicated that there is aExpand
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Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations
Abstract An accurate estimation of terrestrial water storage (TWS) is crucial for water resource management and drought monitoring. However, the uncertainties in model physics, surface parameters andExpand
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Improvement of the Snow Depth in the Common Land Model by Coupling a Two-Dimensional Deterministic Ensemble Model with a Variational Hybrid Snow Cover Fraction Data Assimilation Scheme and a New
AbstractDuring snow cover fraction (SCF) data assimilation (DA), the simplified observation operator and presence of cloud cover cause large errors in the assimilation results. To reduce theseExpand
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Intuitionistic fuzzy multiple attribute group decision making based on projection method
TLDR
In decision making problems there may be cases in which decision makers do not have an in-depth knowledge of the problem to be solved. Expand
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Coupling Modified Linear Spectral Mixture Analysis and Soil Conservation Service Curve Number (SCS-CN) Models to Simulate Surface Runoff: Application to the Main Urban Area of Guangzhou, China
Land surface characteristics, including soil type, terrain slope, and antecedent soil moisture, have significant impacts on surface runoff during heavy precipitation in highly urbanized areas. InExpand
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