Tianjie Lei

ORCID: 0000-0002-2941-2493
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About
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Research Areas
  • Landslides and related hazards
  • Flood Risk Assessment and Management
  • Tree Root and Stability Studies
  • Geochemistry and Geologic Mapping
  • Hydrology and Watershed Management Studies
  • Structural Health Monitoring Techniques
  • Geotechnical Engineering and Analysis
  • Hydropower, Displacement, Environmental Impact
  • Soil Geostatistics and Mapping
  • Cryospheric studies and observations
  • Mineral Processing and Grinding
  • Railway Engineering and Dynamics
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Disaster Management and Resilience

Chinese Academy of Agricultural Sciences
2022-2024

Institute of Environment and Sustainable Development in Agriculture
2022-2024

China Institute of Water Resources and Hydropower Research
2022

Flood disasters are one of the most serious meteorological in China. With rapid development information technology, individual monitoring tools could not meet need for flood disaster monitoring. Therefore, a new integrated air-space-ground method, based on combined satellite remote sensing, unmanned aerial vehicle sensing and field measurement has been proposed to monitor assess caused by dam failure Poyang County, Jiangxi Province. In this paper, an investigation system, general flooded...

10.3390/w14142207 article EN Water 2022-07-13

Although it is well established that natural disasters of all kinds give rise to poverty, and poverty deteriorates the disaster loss, few studies have empirically proposed a comprehensive framework break down vicious circle. Our study alleviation policy with governmental accountability can socio-economic development, facilitate implementation risk reduction policy. Focusing on Great Western Development (GWD) policy, our conducted an index used regression discontinuity design explore effect...

10.1016/j.ijdrr.2024.104656 article EN cc-by-nc-nd International Journal of Disaster Risk Reduction 2024-07-02

A suitable calibration sample set is extremely important to acquire an accurate spectral-based model for estimating soil organic matter (SOM). However, unrepresentative was frequently collected due the inappropriate samplings pattern caused by problematic transportation logistics and complex geographic conditions, which resulted in fairly poor generalization low accuracy of spectroscopic model. Thus, we hypothesized that a dataset equivalent natural samples could be prepared under controlled...

10.1109/jstars.2023.3275745 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

Landslides can result in extensive casualties and huge economic losses. The accurate discrimination of the main slip direction deformation trajectory is an important prerequisite for studying landslide formation mechanisms designing control schemes. In process evolution over time, also changes dynamically provides a comprehensive reflection displacement state. However, few studies on this topic have been published. paper, new methodology analyzing slope stability proposed based three...

10.1080/19475705.2022.2158375 article EN cc-by Geomatics Natural Hazards and Risk 2022-12-19

In recent years, ground-based micro-deformation monitoring radar has attracted much attention due to its excellent capability. By controlling the repeated campaigns of antenna on a fixed track, can accomplish repeat-pass interferometry without space baseline and thus obtain high-precision deformation data large scene at one time. However, it is difficult guarantee absolute stable installation position in every campaign. If unstable, stability track will be affected randomly, resulting...

10.23919/jsee.2022.000091 article EN Journal of Systems Engineering and Electronics 2022-08-01

Slope collapse is one of the most severe natural disaster threats, and accurately predicting slope deformation important to avoid occurrence disaster. However, single prediction model has some problems, such as poor stability, lower accuracy data fluctuation. Obviously, it necessary establish a combination predict deformation. Here, we used GFW-Fisher optimal segmentation method multi-scale model. Our results indicated that determination coefficient linear model, weighted geometric average...

10.3390/w14223667 article EN Water 2022-11-14

Most slope collapse accidents are indicated by certain signs before their occurrence, and unnecessary losses can be avoided predicting deformation. However, the early warning of deformation often misjudged. It is necessary to establish a method determine appropriate in sliding thresholds. Here, better understand impact different scales on thresholds, we used Fisher optimal segmentation threshold model based speed acceleration at spatial scales. Our results that accuracy thresholds surface...

10.3390/land12020344 article EN cc-by Land 2023-01-27
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