A5087045109- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Cryospheric studies and observations
- Smart Agriculture and AI
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Advanced Technologies in Various Fields
- Land Use and Ecosystem Services
- Atmospheric Ozone and Climate
- Ionosphere and magnetosphere dynamics
- Building Energy and Comfort Optimization
- Water Quality Monitoring Technologies
- Urban Heat Island Mitigation
- Genomics and Phylogenetic Studies
- Water Quality and Pollution Assessment
- Remote Sensing and Land Use
- Vehicle emissions and performance
- Epigenetics and DNA Methylation
- Hydrology and Drought Analysis
Lanzhou University
2022-2025
China University of Petroleum, East China
2025
Xinjiang University
2019-2022
Ministry of Education of the People's Republic of China
2020
University of California, San Diego
2017
Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the space-borne remote sensing system, unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more convenient method for monitoring SMC than normal measurement methods includes field sampling oven-drying techniques. However, research based on UAV hyperspectral data not yet formed standard...
Abstract The Ebinur Lake watershed is an important ecological barrier for environmental changes in the Junggar Basin Xinjiang Uygur Autonomous Region (XUAR). Due to tremendous underlying surface environment of past few decades, has become a typical region degradation. Drought affects dynamics and characterizes regional dry wet environments, while dynamic variation lakes vegetation are indicators land surfaces. Thus, quantitative assessment response drought conditions at multiple temporal...
The aerosol optical depth (AOD) represents the light attenuation by aerosols and is an important threat to urban air quality, production activities, human health, sustainable development in arid semiarid regions. To some extent, AOD reflects extent of regional pollution often characterized significant spatiotemporal dynamics. However, detailed local information ambiguous at best due limited monitoring techniques. Currently, availability abundant satellite data constantly updated extraction...
Abstract. The Taklamakan Desert (TD) is a major source of mineral dust emissions into the atmosphere. These particles have ability to darken surface snow on surrounding high mountains after deposition, significantly impacting regional radiation balance. However, previous field measurements been unable capture effects severe storms accurately, and their representation scales has inadequate. In this study, we propose modified remote-sensing approach that combines data from Moderate Resolution...
This study evaluates water body changes in Central Asia (2000–2019) using Landsat 7 data on Google Earth Engine, comparing the Modified Normalized Difference Water Index (MNDWI), OTSU algorithm, and random forest (RF). The algorithm demonstrated best overall performance extraction was selected as analysis tool. results reveal a significant 11.25% decline Asia’s total area over two decades, with Aral Sea shrinking by 72.13% southern Kyrgyzstan’s glaciers decreasing 39.23%. Pearson...
Abstract. Aerosols are complex compounds that greatly affect the global radiation balance and climate system even human health; in addition, aerosols currently a large source of uncertainty numerical simulation process. The arid semi-arid areas have fragile ecosystems with abundant dust but lack related high-accuracy aerosol data. To solve these problems, we use bagging trees ensemble model, based on 1 km optical depth (AOD) data multiple environmental covariates, to produce monthly...
Abstract Australia experienced record‐breaking wildfires during 2019–2020, which emitted large amounts of carbonaceous aerosols (CAs) to the atmosphere. In this study, we explored atmospheric dynamics and thermodynamic mechanism long‐range transport CAs November 2019–February 2020. The results indicate that had a ternary advective spreading pattern across Pacific Ocean in Southern Hemisphere (SH), influenced mainly by westerlies anticyclonic systems. Upward vertical motion over convergence...
Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the spaceborne remote sensing system, unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more convenient method for monitoring SMC than normal measurement methods includes field sampling oven-drying techniques. However, research based on UAV hyperspectral data not yet formed standard procedure...
Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the spaceborne remote sensing system, unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more convenient method for monitoring SMC than normal measurement methods includes field sampling oven-drying techniques. However, research based on UAV hyperspectral data not yet formed standard procedure...
Air quality is directly related to people’s health and of life has a profound impact on the sustainable development cities. Good air foundation development. To solve current problem for development, we used high-resolution (1 km) satellite-retrieved aerosol optical depth (AOD), meteorological, nighttime light vegetation data develop spatiotemporal convolution feature random forest (SCRF) model predict PM2.5 concentration in Shandong from 2016 2019. We evaluated performance SCRF compared...
Abstract. Aerosols are a complex compound with great effect on the global radiation balance and climate system even human health, concurrently large uncertain source in numerical simulation process. The arid semi-arid area has fragile ecosystem, abundant dust, but lacks related aerosol data or accuracy. To solve these problems, we use bagging trees ensemble model, based 1 km optical depth (AOD) multiple environmental covariates, to produce monthly advanced-performance, full-coverage,...
Abstract. The Taklamakan Desert (TD) is a major source of mineral dust emissions into the atmosphere. These particles have ability to darken surface snow on surrounding high mountains after deposition, significantly impacting regional radiation balance. However, previous field measurements been unable capture effects severe storms accurately, and their representation scales has inadequate. In this study, we propose modified remote-sensing approach that combines data from Moderate Resolution...
Compared with the robust text-based search tools for genomic or RNA sequencing data, current methodologies pattern-based searches of epigenomic and other functional data are very limited. GeNemo is first online tool that accomplishes this goal. Users input their in Browser Extensible Data (BED), Peaks, bigWig formats, may any three formats. specify which types datasets to against, choosing from a variety datasets, Encyclopedia DNA Elements (ENCODE) representing different marks,...