A5100608836- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Remote-Sensing Image Classification
- Environmental Changes in China
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Geochemistry and Geologic Mapping
- Urban Green Space and Health
- Advanced Measurement and Detection Methods
- Air Quality and Health Impacts
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Cryospheric studies and observations
- Environmental Quality and Pollution
- Water Quality Monitoring and Analysis
- Soil and Land Suitability Analysis
- Climate variability and models
- Advanced Vision and Imaging
- Heavy metals in environment
- Advanced Image and Video Retrieval Techniques
- Atmospheric aerosols and clouds
Shandong Jianzhu University
2016-2025
Zhejiang University
2015-2024
Shandong University of Science and Technology
2024
Beijing Institute of Radio Metrology and Measurement
2023
China University of Petroleum, Beijing
2023
Chongqing University
2023
East China Normal University
2021-2022
Hunan Normal University
2020
University of Maryland, College Park
2014-2016
Horological Research Institute of Light Industry
2016
The Yangtze River Basin has a wide range and complicated topography. In recent years, under the background of climate land cover change, ecological response whole quality is still unknown. To reveal spatiotemporal changes in from 2001 to 2019 their relationship with environmental topographical factors, this study used Google Earth Engine (GEE) platform calculate remote sensing index (RSEI) based on Moderate-resolution Imaging Spectroradiometer (MODIS) product image set, combined digital...
Abstract. Soil moisture is an important parameter required for agricultural drought monitoring and climate change models. Passive microwave remote sensing technology has become means to quickly obtain soil across large areas, but the coarse spatial resolution of data imposes great limitations on application these data. We provide a unique dataset (0.05∘, monthly) China from 2002 2018 based reconstruction model-based downscaling techniques using different passive products – including AMSR-E...
Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological quality assessment indicators. Due to noise caused by adverse atmoshperic conditions and other factors, RSEI calculated from original image usually has phenomena lack information unstable quality. Therefore, based on Google Earth Engine (GEE) cloud platform, this study adopts three common data reconstruction algorithms firstly, namely: Savitory-Golay filter (SG), harmonic analysis time series (HANTS), Whittaker...
This study represents the first application of Sentinel-2 remote sensing imagery and model fusion techniques to assess chlorophyll-a (Chla) concentration turbidity in Nansi Lake, Shandong Province, China, from 2016 2022. First, we innovatively employed stacking method fuse eight fundamentally different Machine Learning (ML) models, each utilising 20 17 feature bands, resulting development a robust algorithm for estimating Chla Lake. The results demonstrate that Stacking Model has achieved...
In the study of inversion soil multi-species heavy metal element concentrations using hyperspectral techniques, selection feature bands is very important. However, interactions among elements can lead to redundancy and instability spectral features. this study, (Pb, Zn, Mn, As) in entisols around a mining area Harbin, Heilongjiang Province, China, were studied. To optimise combination indices their weights, radar plots characteristic-band Pearson coefficients (RCBP) used screen three-band...
Abstract Context Cities are still expanding in many parts of the world 21st century, especially developing regions, where socioeconomic transition has triggered urbanization. The Qinghai-Tibetan Plateau, characterized by its high elevation, economy, and fragile environment, undergone rapid urbanization past twenty years, potentially heightening region’s risk geological hydrometeorological disasters. Objectives This article examines process on Plateau order to better understand relationship...
PM<sub>2.5</sub>and PM<sub>2.5</sub>-borne PAHs pollution patterns were investigated simultaneously in three main cities (Beijing, Jinan and Shanghai) of China.
Understanding farmers’ participation is crucial for achieving an effective impact on rural living environmental governance and promoting sustainable development. Taking Sandu Town in eastern China as a case study, in-depth semi-structured interviews with farmers, village cadres, town managers were conducted this study. Then, conceptual framework incorporating comprehensive factors presented to analyze the driving mechanisms of farmer domestic waste management. The results show that...
As an important factor in urban planning and design, blocks exhibit complex diverse thermal environment characteristics due to the properties of underlayment materials non-uniformity spatial distribution buildings.Previous research has predominantly concentrated on urban-scale its underlying drivers.Yet, there remains a notable inadequacy precise identification core heat island patches critical nodes, scientific rigor applied selecting geographical units methodologies, as well depth...
According to the UN Population Reference Bureau, 1.4 billion more people will have settled in urban areas by 2030. One of key environmental effects rapid urbanization is heat island (UHI) effect. Understanding mechanism surface UHIs associated with land-use/land-cover (LULC) change patterns important for improving ecology and sustainability cities. In this article, time series Landsat Thematic Mapper (TM)/Enhanced Plus (ETM+) data were used extract LULC land temperature (LST) city Jinan,...
Monitoring heavy metal stress in crops via hyperspectral remote sensing technology is an effective way. A new approach, namely the ratio difference of autocorrelation function first derivative (RDA), proposed to extract characteristic regions maize leaves spectra for initially identification on contaminated category copper (Cu) and lead (Pb). Simultaneously, empirical mode decomposition (EMD) power spectral density (PSD) are integrated construct EMD-PSD visually discrimination Cu Pb from...
Retrieving soil moisture (SM) and land surface temperature (LST) provides crucial environmental data for smart agriculture, enabling precise irrigation, crop health monitoring, yield optimization. The rapid advancement of Artificial intelligence (AI) hardware offers new opportunities to overcome the limitations traditional geophysical parameter retrieval methods. We propose a nested large–small model method that uses AI techniques joint iterative passive microwave SM LST. This retains...