Zhongqiu Meng

ORCID: 0009-0007-3810-9684
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About
Contact & Profiles
Research Areas
  • Geological Modeling and Analysis
  • Landslides and related hazards
  • Tree Root and Stability Studies
  • Land Use and Ecosystem Services
  • Geochemistry and Geologic Mapping
  • Cryospheric studies and observations
  • Geographic Information Systems Studies
  • Remote Sensing in Agriculture
  • Smart Agriculture and AI

Anhui Agricultural University
2023

The evaluation of landslide susceptibility is great significance in the prevention and management geological hazards. accuracy prediction model based on machine learning significantly higher than that traditional expert knowledge conventional mathematical statistics model. correct reasonable selection non-landslide samples greatly improves reliability regional Focusing problem selecting for evaluation, this paper proposes a method combination an information statistics. First, influence...

10.3390/su15031971 article EN Sustainability 2023-01-19

Timely and accurate extraction of crop planting structure information is great importance for food security sustainable agricultural development. However, long time series data with high spatial resolution have a much larger volume, which seriously limits the quality efficiency application remote sensing to agriculture in complex rotation areas. To address this problem, paper takes Lujiang County, typical region middle lower reaches Yangtze River China as an example, proposes utilizing...

10.3390/agronomy13092350 article EN cc-by Agronomy 2023-09-10

A structural landform is defined by its surface morphology, controlled tectonics, lithology (arrangement and resistance), folded structures, demonstrated the characteristics relationships between geological geomorphic elements. It very important to use geographic information system (GIS) technology accurately describe express elements of landforms their relationships. In this study, a GIS approach for expressing landforms, based on “forms–elements–relationships”, was developed. The...

10.3390/app132312872 article EN cc-by Applied Sciences 2023-11-30
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