A5013841150- Geochemistry and Geologic Mapping
- Remote-Sensing Image Classification
- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Soil Geostatistics and Mapping
- Atmospheric and Environmental Gas Dynamics
- Mineral Processing and Grinding
- Remote Sensing and Land Use
- Geological and Geochemical Analysis
- Mineralogy and Gemology Studies
- X-ray Diffraction in Crystallography
- Remote Sensing and LiDAR Applications
- Hydrocarbon exploration and reservoir analysis
- Geology and Paleoclimatology Research
- Plant Water Relations and Carbon Dynamics
Nanning Normal University
2022-2025
Xinjiang Institute of Ecology and Geography
2015-2022
Chinese Academy of Sciences
2019-2022
University of Chinese Academy of Sciences
2019-2020
Xinjiang Technical Institute of Physics & Chemistry
2020
This study proposes an Additive Wavelet Transform (AWT)-based method to fuse Multispectral UAV (MS UAV, 5 cm resolution) and Sentinel-2 satellite imagery (10–20 m resolution), generating resolution fused images with a focus on near-infrared shortwave infrared bands enhance the accuracy of mango canopy water content monitoring. The MS data were validated calibrated using field-collected hyperspectral construct vegetation indices, which then used five machine learning (ML) models estimate Fuel...
Plant water use is an important function reflecting vegetation physiological status and affects plant growth, productivity, crop/fruit quality. Although hyperspectral indices have recently been proposed to assess use, limited sample sizes for established models greatly astricts their wide applications. In this study, we managed gather a large volume of continuous measurements canopy spectra through proximally set spectroradiometers over the canopy, enabling us investigate feasibility using...
Nitrogen is a major nutrient regulating the physiological processes of plants. Although various partial least squares regression (PLSR) models have been proposed to estimate leaf nitrogen content (LNC) from hyperspectral data with good accuracies, they are unfortunately not robust and often applicable novel datasets beyond which were developed. Selecting informative bands has reported be critical refining performance PLSR model improving its robustness for general applications. However, no...
Identifying hydrothermal zoning pattern associated with porphyry copper deposit is important for indicating its economic potential. Traditional approaches like systematic sampling and conventional geological mapping are time-consuming labor extensive, limitations providing small scale information. Recent developments suggest that remote sensing a powerful tool interpreting the spatial of Cu deposit. In this study, we integrated in situ spectral measurement taken at Yudai Kalatag district,...
Lithium (Li) is growing in importance and demand several industrial applications, such as portable electric devices, vehicles, hybrid vehicles. Li-rich pegmatites are one of the main sources Li production world, so low-cost high-efficiency exploration using remote sensing has become an important means for promoting discovery resources. Although imaging spectroscopy great potential identification regional delineation, due to limitations resolution data acquisition, Earth’s surface at various...
Quantitative determination of the physical properties natural granite has been attempted from remotely sensed information, for which Hapke model is a popular method. However, using to retrieve photometric terrestrial rocks (slab or particulate samples), especially those with complex surface conditions such as granite, remains challenge. In this study, we have approached dilemma by coupling both radiative transfer (Hapke's isotropic multiple scattering approximation (IMSA) model) and an...
Quantitatively assessing the abundances of composite minerals in terrestrial granite is crucial to understanding evolutionary history earth's crust and mineral exploration as well. Prevalent methods estimating based on Hapke model by setting optical constants endmembers ahead time are no longer applicable because complexity natural granite, which leads remarkable uncertainties these estimations. In this study, we retrieved specific photometric parameters from bidirectional reflectance...
Hyperspectral Remote Sensing Technology in geological prospecting, spectral feature information extraction and other aspects have made significant progress, a lot of achievements.Compared with the traditional survey, mapping using hyperspectral low cost, consumption, so remote sensing data potential prospects innovative survey methods.The main object study is about western Junggar Basin west to Xiemisitai East.Experiment on rock weathered fresh face field spectra, indoor control...
The most successful areas of application hyper-spectral technology are: mineral identification and mapping. Spectral reflection information radiation species, abundance composition can identify altered minerals hydrothermal mineralized alteration zones closely related to mineralization, quantitative or semi-quantitative estimation eclipse by correlation analysis methods. Variable strength content. In this study, the field spectral acquisition experiments were carefully designed, data was...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Journal of Geophysical Research - Solid Earth. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Quantify Abundance Granite Composit Minerals Using Hapke Model from Bidirectional...