A5061084358- Soil erosion and sediment transport
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Hydrology and Sediment Transport Processes
- Environmental and Agricultural Sciences
- Molecular Biology Techniques and Applications
- Cryospheric studies and observations
- Soil Geostatistics and Mapping
- Soybean genetics and cultivation
- Image Processing and 3D Reconstruction
- Forensic and Genetic Research
- Aeolian processes and effects
- GABA and Rice Research
- Geology and Paleoclimatology Research
- Soil, Finite Element Methods
- Environmental Changes in China
- Robotics and Sensor-Based Localization
- Forensic Anthropology and Bioarchaeology Studies
- Food Quality and Safety Studies
- Flood Risk Assessment and Management
- Phytoestrogen effects and research
- Imbalanced Data Classification Techniques
- Innovations in Education and Learning Technologies
Northwestern Polytechnical University
2022-2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2015-2024
Nanjing Normal University
2014-2024
Nanchang University
2024
WuXi AppTec (China)
2016-2021
Nanjing Agricultural University
2019
Lanzhou University
2019
Institute of Mountain Hazards and Environment
2006-2008
Chinese Academy of Sciences
2008
The Chinese Loess Plateau suffers from serious gully erosion induced by natural and human causes. Gully-affected areas detection is the basic work in this region for assessment monitoring. For first time, an unmanned aerial vehicle (UAV) was applied to extract features region. Two typical catchments Changwu Ansai were selected represent loess tableland hilly regions, respectively. A high-powered quadrocopter (md4-1000) equipped with a non-metric camera used image acquisition. InPho MapMatrix...
Agricultural terraces are important for agricultural production and soil-and-water conservation. They comprise treads risers that require manual construction maintenance. If managed improperly, will collapse, causing soil loss, gully erosion, cultivation threats. However, mapping terrace remains a challenge. This study presents novel approach to automatically map by combining remote sensing images digital elevation models (DEMs). First, terraced hillslope was extracted via hill-shading...
Artificial terraces are of great importance for agricultural production and soil water conservation. Automatic high-accuracy mapping artificial is the basis monitoring related studies. Previous research achieved terrace based on high-resolution digital elevation models (DEMs) or imagery. As a result contextual information mapping, object-based image analysis (OBIA) combined with machine learning (ML) technologies widely used. However, selection an appropriate classifier task. In this study,...
Optimal scale selection is the key step of slope segmentation. Taking three geomorphological units in different parts loess as test areas and 5 m-resolution DEMs original date, this paper employed changed ROC-LV (Lucian, 2010) judging optimal scales segmentation process. The experiment results showed that method effective determining also require because landform complexity varied. same which could distinguish small gully all have many gullies size, however, when come to basins, since...
The Loess Plateau is a region of importance in geomorphologic research because its typical loess layers and intense surface erosion. Analysing the landforms on helpful for understanding changes environment. However, data with high resolution are lacking Plateau, which limits progress studies at finer scales. This study provides first 30 m landform classification characteristics dataset (LPL30). Considering morphological characteristics, dominant dynamics, material conditions, were...
Abstract. Landforms are fundamental components of the Earth surface, providing base on which surface processes operate. Understanding and classifying global landforms, record internal external dynamics planet's evolution, constitutes a critical aspect system science. Advances in observation technologies have enabled access to higher resolution data, for example remote sensing imagery digital elevation models (DEMs). However, landform data with approximately 1 arc-second (approximately 30 m)...
Abstract Depression filling is a critical step in distributed hydrological modeling using digital elevation models (DEMs). The traditional Priority‐Flood (PF) approach widely used due to its relatively high efficiency when dealing with small‐sized DEM. However, it seems inadequate and inefficient large high‐resolution DEMs. In this work, we examined the relationship between PF algorithm calculation process topographical characteristics of depressions, found significant redundant calculations...