A5078706754- Remote Sensing in Agriculture
- Ecology and Vegetation Dynamics Studies
- Geochemistry and Geologic Mapping
- Remote Sensing and Land Use
- Groundwater and Isotope Geochemistry
- Soil Geostatistics and Mapping
- Spectroscopy and Chemometric Analyses
- Plant and animal studies
- Land Use and Ecosystem Services
- Rangeland and Wildlife Management
- Plant Ecology and Soil Science
- Groundwater and Watershed Analysis
- Remote Sensing and LiDAR Applications
- Water Quality Monitoring and Analysis
- Remote-Sensing Image Classification
- Plant Parasitism and Resistance
Xinjiang University
2019-2022
Soil salinity is one of the most damaging environmental problems worldwide, especially in arid and semiarid regions. The objectives this study were to improve inversion accuracy soil salt content (SSC) soils with spectral heterogeneity by using optimized indices. samples at a 0–20 cm depth taken from Keriya Oasis (98 samples), Ugan-Kuqa (49 Ebinur Lake Basin (57 samples). SSC reflectance (SR) all 204 determined. To comprehensively analyze field-collected hyperspectral data, various band...
The relationship between the growth characteristics of vegetation and factors that limit protection relevant populations communities needs to be clarified. To gain a deeper understanding mechanism couples groundwater with Populus euphratica in desert ecosystem, as well explore effect its competitive Tamarix chinensis under restrictive conditions self-development community succession, we established 11 typical sample plots Daliyaboyi Oasis Taklimakan Desert. In current study, evaluated these...
The possibility of quantitative inversion salinized soil moisture content (SMC) from Zhuhai-1 hyperspectral imagery and the application effect fractional order differentially optimized spectral indices were discussed, which provided new research ideas for improving accuracy remote sensing inversion. data indoor resampled to same scale. processed by differential preprocessing method method, Pearson correlation coefficient (PCC/r) analysis was made with SMC data. sensitive used establish...
Understanding the effect of flooding on groundwater quality is imperative for oasis vegetation protection and local ecological environment development. We used geochemical remote sensing inversion methods to evaluate effects flood recharge hydrochemical processes in Daliyaboy Oasis. Groundwater samples were collected from 30 observation wells study area before (PRF) after (POF) flood. Except small changes HCO3− K+ a decrease pH, ion levels higher POF than PRF, water chemistry was essentially...
Beta diversity indicates the species turnover with respect to a particular environmental gradient. It is crucial for understanding biodiversity maintenance mechanisms and prescribing conservation measures. In this study, we aimed reveal drivers of beta patterns in desert hinterland oasis communities by establishing three types surface water disturbance groundwater depth gradients. The results indicated that dominant factor driving pattern within same gradient shifted from soil organic matter...
It is highly necessary to apply unmanned aerial vehicle (UAV) remote sensing technology forest health assessment. To prove the feasibility of quantitative inversion photosynthetic pigment content (PPC) in Populus euphratica Oliv. individual tree canopy (PeITC) by using multispectral UAV images, this study, Parrot Sequoia+ system was manipulated collect images (Populus Oliv.) sample plots Daliyabuyi Oasis from 2019 2020, and PPCs five trees per plot were determined six plots. The crown...