A5028972991- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Climate variability and models
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Rangeland Management and Livestock Ecology
- Climate change impacts on agriculture
- Environmental Changes in China
- Tree-ring climate responses
- Environmental and Agricultural Sciences
- Transboundary Water Resource Management
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Remote Sensing and LiDAR Applications
- Water-Energy-Food Nexus Studies
- Forest, Soil, and Plant Ecology in China
- Archaeological Research and Protection
- 3D Surveying and Cultural Heritage
- Forest ecology and management
- Groundwater and Watershed Analysis
- Water resources management and optimization
- Ecology and Vegetation Dynamics Studies
- Species Distribution and Climate Change
- Atmospheric and Environmental Gas Dynamics
University of Chinese Academy of Sciences
2013-2025
Research Center for Ecology and Environment of Central Asia
2020-2025
Chinese Academy of Sciences
2016-2025
Joint Research Center
2017-2025
Xinjiang Institute of Ecology and Geography
2016-2025
Ghent University
2017-2018
Lower Mekong Basin (LMB) experiences a recurrent drought phenomenon. However, few studies have focused on monitoring in this region due to lack of ground observations. The newly released Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) long-term record and high resolution has great potential for monitoring. Based the assessment CHIRPS capturing precipitation drought, study aims evaluate condition LMB by using satellite-based from January 1981 July 2016. Standardized...
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...
The location of the Altai Mountains at limits both Pacific and Atlantic influences implies that this mountain range is an important climatic boundary. Based on pollen data 188 samples a 390-cm core from Narenxia Peat in southern with chronologic support 11 accelerator mass spectrometry (AMS) dates, we reconstructed Holocene change Peat. reconstruction revealed five stages change: cold dry latest deglacial (prior to ~11,500 cal. yr BP), warm wet early-Holocene (~11,500 ~7000 considerably...
Vegetation changes play a vital role in modifying local temperatures although, until now, the climate feedback effects of vegetation are still poorly known and large uncertainties exist, especially over Central Asia. In this study, using remote sensing re-analysis existing data, we evaluated impact on temperatures. Our results indicate that have significant unidirectional causality relationship with regard to temperature changes. We found greening Asia as whole induced cooling effect also...
Abstract Remotely sensed data have been utilized for environmental change study over the past 30 years. Large collections of remote sensing imagery made it possible spatio‐temporal analyses environment and impact human activities. This research attempts to develop both conceptual framework methodological implementation land cover detection based on medium high spatial resolution temporal trajectory analysis. Multi‐temporal multi‐scale remotely integrated from various sources with a...
Abstract Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable management. This study aimed at assessing spatio-seasonal variation in relation use types Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used evaluate anthropogenically-induced changes. In addition Principal Components Analysis (PCA), a Cluster (CA) applied 12-clustered sampling sites and obtained NSF-WQI. Lastly, Partial Least Squares...
In recent years, Rwanda, especially its Eastern Province, has been contending with water shortages, primarily due to prolonged dry spells and restricted sources. This situation poses a substantial threat the country’s agriculture-based economy food security. The impact may escalate climate change, exacerbating frequency severity of droughts. However, there is lack comprehensive spatiotemporal analysis meteorological agricultural droughts, which an urgent need for nationwide assessment...
Abstract The water discharge from the heavily glacierized Sary-Jaz River Basin (Eastern Kyrgyzstan) is of high importance for very arid Tarim located in Xinjiang (north-western China). We investigated glacier changes entire Basin, which covers a large part Central Tien Shan, period 1990 to 2010 based on Landsat 'TM'/'ETM+'data. found 1310 glaciers (>0.1 km2), covered 2055 ± 41.1 km2 (∼18% basin) 1990. shrank by 77.1 57.1 (3.7 2.7%) until 2010. This considerably lower than most other ranges...
Abstract Satellite precipitation estimates (SPEs) provide important alternative sources for various applications especially regions where in situ observations are limited or unavailable, like central Asia. In this study, eight SPEs based on four different algorithms, namely, the Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis 3B42, Climate Prediction Center morphing technique (CMORPH), Global Mapping of (GSMaP), and Estimation from Remotely Sensed Imagery Using...
Hydrological modeling has always been a challenge in the data-scarce watershed, especially areas with complex terrain conditions like inland river basin Central Asia. Taking Bosten Lake Basin Northwest China as an example, accuracy and hydrological applicability of satellite-based precipitation datasets were evaluated. The gauge-adjusted version six widely used was adopted; namely, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record...
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient concentrations in vineyards and assists precise management, including fertilization, improving yield, quality, vineyard uniformity. Although some vegetation indices (VIs) have been successfully used to assess LAI variations, they are unsuitable of different types structures. By calibrating the light extinction coefficient digital photography algorithm proximal measurements, this study aimed develop...
Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock arid regions. However, there a lack of spatiotemporal analysis litterfall riparian forests. This study aims to estimate using BP neural network based on vegetation indices from Landsat 5 8 satellite images, inventory data, slope, distance major river tributaries. It also analyze the distribution pattern litter research area by analyzing along desert forests lower Qarqan Tarim Rivers...
Accurate, cost-efficient vegetation mapping is critical for managing afforestation projects, particularly in resource-limited areas. This study used a consumer-grade RGB unmanned aerial vehicle (UAV) to evaluate the optimal spatial and temporal resolutions (leaf-off leaf-on) precise, economically viable tree species mapping. conducted 2024 Kasho, Bannu district, Pakistan, using UAV missions at multiple altitudes captured high-resolution imagery (2, 4, 6 cm) across three sampling plots. A...