A5061300265- Remote Sensing and Land Use
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Plant Ecology and Soil Science
- Geochemistry and Geologic Mapping
- Environmental Changes in China
- Environmental and Agricultural Sciences
- Aeolian processes and effects
- Rangeland Management and Livestock Ecology
- Soil and Land Suitability Analysis
- Land Use and Ecosystem Services
- Ecology and Vegetation Dynamics Studies
- Advanced Computational Techniques and Applications
- Plant Water Relations and Carbon Dynamics
- Groundwater and Watershed Analysis
- Forest, Soil, and Plant Ecology in China
- Urban Heat Island Mitigation
- Soil Moisture and Remote Sensing
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Advanced Algorithms and Applications
- Geology and Paleoclimatology Research
- Climate change and permafrost
- Advanced Image Fusion Techniques
- Soil erosion and sediment transport
Xinjiang University
2008-2017
Ministry of Education of the People's Republic of China
2010
Tokyo University of Science
1991-1992
Abstract The interaction between land use/cover change and landscape pattern is pivotal in research concerning global environmental change. This study uses three different Landsat images of 1989, 1998 2009 to the changes middle reaches Tarim River basin. envi ®, erdas ArcGIS ® fragstats software were used analyse changes. objectives map pattern, propose some possible factors making from 1989 2009. Seven types are analysed, results listed tables. From 1998, percentage farmland,...
Soil salinization is one of the most widespread soil degradation processes on Earth, especially in arid and semi-arid areas. The salinized to Xinjiang Uyghur Autonomous Region China accounts for 31% area cultivated land, thus it pivotal sustainable agricultural development identify reliable cost-effective methodologies monitor spatial temporal variations salinity. This objective was accomplished over study (Keriya River Basin, northwestern China) by adopting technologies that heavily rely...
Most present researches on estimation of soil salinity by hyperspectral data have focused the spectral reflectance or their integer derivatives but ignored fractional derivative information data. Motivated this situation, selected study area is Ebinur Lake basin located in southwest border Xinjiang Uygur Autonomous Region, China, with severe salinization. The field work was conducted from 15 to 25 October, 2014, and a total 180 samples were collected 45 sampling sites; after measuring salt...
Effective pretreatment of spectral reflectance is vital to model accuracy in soil parameter estimation. However, the classic integer derivative has some disadvantages, including information loss and introduction high-frequency noise. In this paper, fractional order algorithm was applied partial least squares regression (PLSR) used assess clay content desert soils. Overall, 103 samples were collected from Ebinur Lake basin Xinjiang Uighur Autonomous Region China, as data sets for calibration...
Abstract Spatio‐temporal variation of snow depth in the Tarim River basin has been studied by empirical orthogonal function (EOF) based on data collected special sensor microwave/imager (SSM/I) and scanning multichannel microwave radiometer (SMMR) during period from 1979 to 2005. The long‐term trend runoff was presented using Mann‐Kendall non‐parametric test, effects variations climatic factors were analysed discussed means regression analysis. results suggested that entire characterised...
Soil organic matter (SOM) content is an important index to measure the level of soil function and quality. However, conventional studies on estimation SOM concerned about classic integer derivative spectral data, while fractional information was ignored. In this research, a total 103 samples were collected in Ebinur Lake basin, Xinjiang Uighur Autonomous Region, China. After measuring Vis-NIR (visible near-infrared) spectroscopy indoor, raw reflectance absorbance treated by from 0 2nd order...
Soil salinity is one of the common factors leading to land degradation problems on earth, especially in arid and semiarid regions. There an urgent need for rapid, accurate cost-effective monitoring assessment soil salinization. Remote Sensing (<small>RS</small>) Geographical Information Systems (<small>GIS</small>) are employed as viable technologies detecting, monitoring, predicting spatial-temporal patterns The purpose this study establish partial least squares...
This paper uses 3S technology in macroscopic. Combining the integrated of ecological quantity analytical method with GIS through ArcGIS and Fragstats, authors study images 1972, 1990, 2001, 2005 obtained land use data Jinghe County. Then, change use/cover landscape pattern had been analyzed County Xinjiang. The conclusions were as follows: (1) trend LUCC is that area oasis expands slowly nearly 33 years between 1972 to (2) water mainly influenced by Ebinur Lake, so a little this period. (3)...