Lei Ma

ORCID: 0009-0007-4284-8690
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About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Landslides and related hazards
  • Flood Risk Assessment and Management
  • Forest Insect Ecology and Management
  • Fire effects on ecosystems
  • Solar Radiation and Photovoltaics
  • Land Use and Ecosystem Services
  • Water resources management and optimization
  • Remote Sensing and Land Use
  • Hydrological Forecasting Using AI
  • Yersinia bacterium, plague, ectoparasites research

Inner Mongolia Normal University
2022-2024

Nanjing University
2022

Beijing Technology and Business University
2022

Oregon Department of Geology and Mineral Industries
2010

After the “5·12” Wenchuan earthquake in 2008, collapses and landslides have occurred continuously, resulting accumulation of a large quantity loose sediment on slopes or gullies, providing rich material source reserves for occurrence debris flow flash flood disasters. Therefore, it is great significance to build collapse landslide susceptibility evaluation model County local disaster prevention mitigation. Taking as research object according data 1081 historical points, well natural...

10.3390/rs14143259 article EN cc-by Remote Sensing 2022-07-06

Research Article| November 01, 2010 Analysis of Elevation Changes Detected from Multi-Temporal LiDAR Surveys in Forested Landslide Terrain Western Oregon WILLIAM J BURNS; BURNS 1Oregon Department Geology and Mineral Industries, 800 NE Street, Portland, OR 97232 Search for other works by this author on: GSW Google Scholar JEFFREY A COE; COE 2U.S. Geological Survey, Denver Federal Center, Mail Stop 966, Denver, CO 80225 BASAK SENER KAYA; KAYA 3Colorado School Mines, Division Engineering,...

10.2113/gseegeosci.16.4.315 article EN Environmental and Engineering Geoscience 2010-10-26

Erannis jacobsoni Djak. (EJD), a typical pest of coniferous forests in Mongolia, has severely threatened forest areas recent years owing to its rapid development and spread. EJD feeds on needles leaves, killing many trees causing severe damage ecosystems,which results substantial local economic losses. The effective monitoring pests is crucial for preventing or controlling infestations timely manner. To this end, study, we calculated spectral vegetation indices using UAV multispectral data,...

10.1016/j.ecoinf.2024.102605 article EN cc-by-nc Ecological Informatics 2024-04-21

While unmanned aerial vehicle (UAV) remote sensing technology has been successfully used in crop vegetation pest monitoring, a new approach to forest monitoring that can be replicated still needs explored. The aim of this study was develop model for identifying the degree damage trees caused by Erannis jacobsoni Djak. (EJD). By calculating UAV multispectral indices (VIs) and texture features (TF), sensitive tree were extracted using successive projections algorithm (SPA) analysis variance...

10.3390/f13122104 article EN Forests 2022-12-09

Water scarcity is a growing threat to humankind. At university campuses, there need for shared shower room managers forecast the demand bath water accurately. Accurate forecasts can decrease costs of heating and pumping, reduce overall energy consumption, improve student satisfaction (due stability supply bathwater temperature). We present case study conducted at Capital Normal University (Beijing, China), which provides rooms separately female male students. Bath consumption data are...

10.3390/w14081291 article EN Water 2022-04-15
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