- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Consumer Behavior in Brand Consumption and Identification
- Building Energy and Comfort Optimization
- Climate change and permafrost
- Media, Gender, and Advertising
- Digital Marketing and Social Media
- Urban Green Space and Health
Institute of Mountain Hazards and Environment
2022-2025
Chinese Academy of Sciences
2022-2025
University of Chinese Academy of Sciences
2022-2025
King University
2023
Peking University
2023
In the face of rapid global climate change and increasing occurrence extreme weather events, acquiring seamless land surface temperature (LST) with high spatial temporal resolution on a scale has become increasingly crucial. However, limited ability Thermal Infrared (TIR) Remote Sensing to penetrate cloud cover hindered widespread application TIR LST datasets. To address this limitation, we propose novel reconstruction approach for cloud-covered pixels, which is established based annual...
Abstract The South Slope of the Himalayas (SSH) is witnessing dynamic shifts in vegetation greenness driven by climatic conditions across elevation variability. Here, we analyzed greening patterns natural vegetated surfaces along elevational gradient and examined their connection to climate changes from 2000 2022. Over 50% area SSH exhibited significant greening, with higher rates Central (CH) Western (WH) compared Eastern (EH). relative change rate (RCR) showed a notable increasing ∼2,600...
Land surface temperature (LST) is an important parameter in land processes with strong relationship between energy and water exchange. To effectively capture the thermal dynamics, annual cycle model a good option by depicting variation as constant term plus sine function. However, this type suffers from assumption of property which hardly satisfied due to changes vegetation cover. well address issue, normalized difference index (NDVI) introduced indicator characterize added original form...
Because of the primary role land surface temperature (LST) in physical processes energy balance at local through global scales, dynamic, continuous, and seamless LST monitoring is constantly urgent need. Thermal infrared (TIR) remote sensing serves as most commonly used sources for retrieval owing to its relatively fine spatial-temporal resolution presentable accuracy. However, limited by inability penetrate clouds, original TIR data suffers significantly from missing problems. Furthermore,...
Remote sensing-based ecological index (RSEI) is a widely used for monitoring eco-environmental quality (EEQ). However, the traditional estimations usually face poor stability in tracking continuous EEQ changes. To overcome this issue, study introduces an improved framework RSEI estimation to enhance temporal comparability of assessments. It incorporates annual mean values and normalization key indicators address limitations, including susceptibility seasonal variability reliance on...
Abstract Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua daily land surface temperature (LST) products are important data sets for global warming monitoring. To reveal the consistency differences between MODIS LST monitoring trends, this study used these two to extract mean annual (MAST) of Tibetan Plateau from 2003 2020. Then, nine MAST combinations were constructed daytime, nighttime, average conditions separately with series, including only, integrated one. Finally,...
Nowadays, more and people begin to learn about a product through advertising, the content of advertisement usually determines whether buy product. Therefore, author began this study explore influence different advertising media on consumers. This was conducted by questionnaire, asking respondents watch four types video advertisements, then ranking them according most attractive least attractive, finally writing down reasons for ranking. The results show that fashion ads are popular. kind...