A5058668014- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Impact of Light on Environment and Health
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Remote-Sensing Image Classification
- Plant Water Relations and Carbon Dynamics
- 3D Surveying and Cultural Heritage
- Soil Geostatistics and Mapping
- Groundwater and Watershed Analysis
- Remote Sensing and Land Use
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Soil erosion and sediment transport
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Domain Adaptation and Few-Shot Learning
- Robotics and Sensor-Based Localization
- Environmental Quality and Pollution
- Automated Road and Building Extraction
- Satellite Image Processing and Photogrammetry
- Cultural Heritage Management and Preservation
- Cryospheric studies and observations
- Urban Agriculture and Sustainability
- Geographic Information Systems Studies
- Advanced Image and Video Retrieval Techniques
Wuhan University
2020-2025
BOKU University
2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2020
Urbanization demands finer coordinated development of the urban human-earth relationship with high quality. Although a large number studies have explored long-term and large-scale coupling effect urbanization eco-environment, there is lack spatiotemporal method assessment. Therefore, this paper proposes monthly-scale pixel-based coordination degree (CCD) model, aiming to explore between socioeconomic activity intensity (SAI) regional eco-environment (REE) in Beijing during period January...
Accurately mapping building height at a fine scale is crucial for comprehending urban systems. However, existing methods suffer from limitations such as coarse resolutions, long delays, and limited applicability large-scale mapping. This challenge particularly significant in China, where rapid urbanization has led to complex scenario. To address this issue, we propose novel approach that capitalizes on publicly available Sentinel-1/-2 crowdsourced data. Our method employs dual-branch...
Abstract Buildings provide indispensable services for human well‐being, but their construction and use are responsible a substantial fraction of societies’ resource requirements greenhouse gas emissions. Mapping quantifying the material stocks in buildings is key research frontier industrial ecology. Reliable spatially highly resolved maps worldwide so far not available. Existing approaches based on nighttime light data allow large‐scale coverage, spatial resolution usually ∼0.5–1 km. Other...
In order to promote the economic development of China’s provinces and provide references for make effective decisions, it is urgent investigate trend province-level development. this study, DMSP/OLS data NPP/VIIRS were used predict Based on GDP from 1992 2016 nighttime light remote sensing (NTL) corresponding years, we forecast via linear model (LR model), ARIMA model, ARIMAX SARIMA model. Models verified against records 2017 2019. The experimental results showed that involvement NTL as...
Urban Agglomeration (UA) is regarded as an emerging complex urban system in China. The development of UA demands a reasonable scale structure, which can be investigated by Zipf's law. However, few studies have been conducted to quantify the optimal and how its deviates from scale. With continuous expansion, problem UAs' structure has received increasing attention. In this study, we propose method based on law for estimating theoretical UAs China assessing deviation rate their scales. Twelve...
The performance of deep learning is heavily influenced by the size samples, whose labeling process time consuming and laborious. Deep algorithms typically assume that training prediction data are independent uniformly distributed, which rarely case given attributes properties different sources. In remote sensing images, representations urban land surfaces can vary across regions season, demanding rapid generalization these in data. this study, we propose Meta-FSEO, a novel model for...
Mapping impervious surface area (ISA) dynamics at the regional and global scales is an important task that supports management of urban environment ecological systems. In this study, we aimed to develop a new method for ISA percentage (ISA%) mapping using Nighttime Light (NTL) MODIS products. The proposed consists three major steps. First, calculated Enhanced Vegetation Index (EVI)-adjusted NTL index (EANTLI) performed intra-annual inter-annual corrections on DMSP-OLS data. Second, based...
Urban–rural land transition and the coordination of coupled human–environmental systems are two important issues in process global urban–rural development. Although existing studies have explored coupling degree (CCD) interactions under context urbanization, few taken transitions into consideration. In this study, we investigated dynamics CCD China from 2001 to 2018 using multisource remote sensing data quantified changes among urban construction (UCL), rural residential (RRL),...
The estimation of total iron content at the regional scale is much significance as deficiency has become a routine problem for many crops.In this study, novel method estimating in soil (TICS) was proposed using harmonic analysis (HA) and back propagation (BP) neural network model. Several data preprocessing methods first derivative (FD), wavelet packet transform (WPT), HA were conducted to improve correlation between spectra TICS. principal component (PCA) exploited obtained three kinds...
Integrating multiple hyperspectral linear-array cameras into a Linear-array Multi-camera System (LMS) enables an expanded Field of View (FOV) while preserving high spatial resolution. However, the constrained capabilities tie points are weakened by limited overlap and short baseline between sub-cameras, hindering attainment reliable solutions for theoretically ideal relative calibration model. Additionally, absence stereoscopic imaging in LMS introduces challenge acquiring dense Ground...
Object detection on drone-view images is vital for applications like intelligent transportation, abnormal behavior detection, and urban surveillance. However, the diverse perspectives altitudes from which Unmanned Aerial Vehicle (UAV) capture scenes pose challenges due to multi-scale differences small object sizes. To address this, we propose CSSDet, emphasizing enhancement. CSSDet integrates an additional head objects employs a bidirectional weighted feature pyramid network effective...