A5059593093- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Hydrology and Watershed Management Studies
- Remote-Sensing Image Classification
- Urban Heat Island Mitigation
- Flood Risk Assessment and Management
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Urban Green Space and Health
- Rangeland Management and Livestock Ecology
- Remote Sensing and LiDAR Applications
- Hydrology and Drought Analysis
- Impact of Light on Environment and Health
- Geochemistry and Geologic Mapping
- Urban Stormwater Management Solutions
- Species Distribution and Climate Change
- Transboundary Water Resource Management
- Automated Road and Building Extraction
- Advanced Image Fusion Techniques
- Water resources management and optimization
- Environmental Changes in China
- Urban and Freight Transport Logistics
- Satellite Image Processing and Photogrammetry
- Data Management and Algorithms
Joint Research Center
2019-2025
Ghent University
2018-2025
Ghent University Hospital
2023-2025
Xinjiang Institute of Ecology and Geography
2019-2025
Chinese Academy of Sciences
2024-2025
University of Chinese Academy of Sciences
2021-2023
Grantmakers for Effective Organizations
2021
Geograf (Norway)
2021
Vrije Universiteit Brussel
2010-2020
University of Electronic Science and Technology of China
2020
Global climate change and human activities are expected to have far-reaching implications for the associations between ecosystem services (ESs), especially in arid regions. Here, Central Asia (CA) was taken as a case study describe complex relationship among key ESs under combined effects of future socioeconomic development. We propose new framework that integrates land-use simulation (FLUS) model integrated valuation trade-offs (InVEST) model. A four-model ensemble mean from Coupled Model...
Fast and automatic detection of airports from remote sensing images is useful for many military civilian applications. In this paper, a fast method proposed to detect based on convolutional neural networks using the Faster R-CNN algorithm. This first applies network generate candidate airport regions. Based features extracted these proposals, it then uses another perform detection. By taking typical elongated linear geometric shape into consideration, some specific improvements are proposed....
ABSTRACT Central Asian countries ranked low in Sustainable Development Goal (SDG) scores among 166 globally 2024, facing challenges achieving the 2030 Agenda. Landscape structures (LSs) are considered crucial advancing SDGs by supporting provision of ecosystem services (ESs). Although previous studies have primarily first‐level interactions between LSs and ESs, as well ESs SDGs, uncertainty remains regarding hierarchical responses LSs, SDGs. To address this gap, study integrates traditional...
The amount and intensity of runoff on catchment scale are strongly determinedby the presence impervious land-cover types, which predominant cover types inurbanized areas. This paper examines impact different methods for estimatingimpervious surface prediction peak discharges, as determined by a fullydistributed rainfall-runoff model (WetSpa), upper part Woluwe Rivercatchment in southeastern Brussels. study shows that detailed informationon spatial distribution surfaces, obtained from...
Abstract Urban change processes that have been occurring over the past decades are affecting human and natural environment in many ways, stressed need for new, more effective urban management approaches. In this context, mapping man-made impervious surfaces has focus of attention as can be used a general indicator to quantify its environmental impact. Despite currently available digital imagery from high-resolution satellite sensors such Ikonos Quickbird, or airborne cameras, spectral...
Water resources are increasingly under stress in Central Asia because downstream countries highly dependent on upstream countries. is essential for irrigation and becoming scarcer due to climate change human activities. Based 20 hydrological stations, this study firstly analyzed the annual seasonal spatial–temporal changes of river discharges, precipitation, temperature Syr Darya River Basin then possible relationships between these factors were detected. Finally, potential reasons discharge...
Abstract. The previous comparative studies on watersheds were mostly based the comparison of dispersive characteristics, which lacked systemicity and causality. We proposed a causal structure-based framework for basin Bayesian network (BN) focus basin-scale water–energy–food–ecology (WEFE) nexus. applied it to Syr Darya River (SDB) Amu (ADB), poor water management caused Aral Sea disaster. causality nexus was effectively compared universality this discussed. In terms changes in nexus,...
Abstract Extreme precipitation events exhibit an increasing trend for both the frequency and magnitude on global regional scales it has already proven impact of man-made warming extreme amplification. Based observed datasets climate model (GCM) output, this study evaluated from anthropogenic forcing temporal non-uniformity (i.e. increase in unevenness or disparity) amounts (PRCPTOT), extremes (R95p RX5day) intensity (SDII) Central Asia (CA) 1961 to 2005. Results indicate that radiative...
As the Aral Sea shrinks, lakebeds are gradually drying up, and newborn Aralkum Desert (AD) has become one of most active sands dust storms (SDS) sources in Arid Central Asia (ACA). However, temporal characterization SDS activity its possible driving factors have yet to be thoroughly investigated. Here, we studied variations activities during 2000–2020 based on Enhanced Dust Index (EDI), then investigated relative importance different drivers phases. The findings revealed that increased past...
The Taitema Lake wetland in the lower reaches of Tarim River (northwest China) is sensitive to hydrological changes and provides necessary ecosystem functions for biodiversity conservation. Monitoring evaluating long-term dynamics essential conserving restoring regional ecosystems. This paper used a dense time series Landsat images from 1986 2021 map wetlands. It analyzed annual seasonal variations wetlands by ten ecological indicators, which include area extent, vegetation, hydrology,...
Urban growth and its related environmental problems call for sustainable urban management policies to safeguard the quality of environments. Vegetation plays an important part in this as it provides ecological, social, health economic benefits a city's inhabitants. Remotely sensed data are great value monitor green despite clear advantages contemporary high resolution images, medium should not be discarded. The objective research was estimate fractional vegetation cover from Landsat ETM+...