A5049523028- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Soil Carbon and Nitrogen Dynamics
- Flood Risk Assessment and Management
- Environmental Changes in China
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Fire effects on ecosystems
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Impact of Light on Environment and Health
- Geology and Paleoclimatology Research
- Advanced Image Fusion Techniques
- Hydrology and Watershed Management Studies
- Tropical and Extratropical Cyclones Research
- Automated Road and Building Extraction
- Ecology and Vegetation Dynamics Studies
- Advanced Image and Video Retrieval Techniques
- Advanced Computational Techniques and Applications
- Soil and Water Nutrient Dynamics
- Hydrology and Drought Analysis
- Peatlands and Wetlands Ecology
Fujian Provincial Cancer Hospital
2022-2025
Fujian Medical University
2022-2025
Chinese Academy of Sciences
2016-2025
Northeast Institute of Geography and Agroecology
2008-2025
Aerospace Information Research Institute
2020-2025
Beijing Institute of Big Data Research
2022-2025
Technical Institute of Physics and Chemistry
2025
North China Municipal Engineering Design & Research Institute
2025
Xidian University
2025
Beijing Normal University
2014-2024
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Plus (ETM+) data. classified over 6600 scenes of TM data after 2006, 2300 ETM+ before all selected from green season. These images cover most world's land surface except Antarctica Greenland. Most these came United States Geological Survey in level L1T (orthorectified). Four classifiers that were freely available employed, including conventional maximum likelihood classifier...
Although a large number of new image classification algorithms have been developed, they are rarely tested with the same task. In this research, Landsat Thematic Mapper (TM) data set and scheme over Guangzhou City, China, we two unsupervised 13 supervised algorithms, including machine learning that became popular in remote sensing during past 20 years. Our analysis focused primarily on spectral information provided by TM data. We assessed all per-pixel decision experiment segment-based...
Significance The patterns of lateral branching, including tillers and inflorescence branches, determine grain yields many cereals. In this study, we characterized a regulatory network composed microRNAs transcription factor that coordinately regulate vegetative (tiller) reproductive (panicle) branching in rice. findings hold tremendous promise for application rice genetic improvement may also have general implications understanding regulation grasses.
Forest fires contribute to global greenhouse gas emissions and can negatively affect public health, economic activity, provision of ecosystem services. In boreal forests, are a part the dynamics, while in humid tropics, largely human-induced lead forest degradation. Studies have shown changing fire dynamics across globe due both climate land use change. However, trends fire-related loss remain uncertain lack globally consistent methodology applied high spatial resolution data. Here, we...
Tropical forest loss increases as fragment size decreases, a relationship driven by primary loss.
Soil respiration (Rs) represents the largest flux of CO2 from terrestrial ecosystems to atmosphere, but its spatial and temporal changes as well driving forces are not understood. We derived a product annual global Rs 2000 2014 at 1 km by resolution using remote sensing data biome-specific statistical models. Different existing view that climate change dominated in Rs, we showed land-cover played more important role regulating temperate boreal regions during 2000-2014. Significant occurred...
Abstract Vegetation activity and phenology are significantly affected by climate change, changes in vegetation can turn affect regional or global patterns. As one of the world’s great biomes, temperate grasslands have undergone remarkable recent decades, but connections between there remained unclear. Using observation minus reanalysis (OMR) method, this study investigated possible effects growing season on air temperatures China. The results showed that average NDVI grassland increased...
Accurate large-scale building detection is significant in monitoring urban development, map updating, change detection, and digital city establishment. However, due to the complicated details of background objects high spatial resolution remotely sensed images, models proposed are still not performing satisfactorily. Particularly, such issue lies small buildings, which easily be omitted, pixels bounding area each instance can especially confusing with objects. Aiming deal problem, we propose...
Accurate and timely urban land mapping is fundamental to supporting large area environmental socio-economic research. Most of the available large-area products are limited a spatial resolution 30 m. The fusion optical synthetic aperture radar (SAR) data for high-resolution has not yet been widely explored. In this study, we propose fast effective extraction method using ascending/descending orbits Sentinel-1A SAR Sentinel-2 MSI (MultiSpectral Instrument, Level 1C) acquired from 1 January...
China is a country that significantly affected by and sensitive to global climate change. Floods are one of the major natural disasters in China, they occur with high frequency wide impact country, causing serious losses. Since 1990s, have become more frequent. has made remarkable achievements flood risk management, but problems challenges this context change urbanization still require in-depth analysis targeted adaptations. During summer 2020, southern suffered from catastrophic flooding;...
There are currently only two methods (the within-growing season method and the inter-growing method) used to analyse normalized difference vegetation index (NDVI)–climate relationship at monthly time scale. What differences between methods, why do they exist? Which is more suitable for analysis of them? In this study, after obtaining NDVI values (GIMMS NDVI3g) near meteorological stations data Inner Mongolian grasslands from 1982 2015, we analysed temporal changes in climate factors,...
Efficient landslide mapping from high spatial resolution images is important in many practical applications, such as emergency response. Numerous studies and methods have been published on this subject; however, these are difficult to apply the real world because they mainly based remotely sensed landslides a single sensor with specific resolution. Additionally, models built within deep learning frameworks tend adopt similar encoder-decoder network structures, wherein features easily...