A5102887344- Geochemistry and Geologic Mapping
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Remote-Sensing Image Classification
- Spectroscopy and Chemometric Analyses
- Forest Ecology and Biodiversity Studies
- Fire effects on ecosystems
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Mineral Processing and Grinding
- Soil Moisture and Remote Sensing
- Soil Carbon and Nitrogen Dynamics
- Water Quality Monitoring and Analysis
- Face and Expression Recognition
- Machine Learning and ELM
- 3D Surveying and Cultural Heritage
- Heavy metals in environment
- Mining and Resource Management
Ministry of Ecology and Environment
2019-2025
Nanjing Institute of Environmental Sciences
2019-2025
China University of Mining and Technology
2016-2025
Research Highlights: This study carried out a feasibility analysis on the tree height extraction of planted coniferous forest with high canopy density by combining terrestrial laser scanner (TLS) and unmanned aerial vehicle (UAV) image–based point cloud data at small midsize farms. Background Objectives: Tree is an important factor for resource surveys. information plays role in structure evaluation stock estimation. The objectives this were to solve problem underestimating guarantee...
The carbon sequestration capacity in urban agglomeration ecosystems is crucial for enhancing scientific understanding of the cycle and promoting sustainable development to mitigate climate change. However, existing studies on driving factors, particularly regarding determining causal mechanisms critical thresholds remain unclear. To address this knowledge gap, we propose a CMSC framework which integrates inference machine learning methods reveal underlying determine drivers affecting Yangtze...
The potential hazard of heavy metals in reclaimed mine soil has been attracted more and attention. Hyperspectral inversion can be applied to predict the metal content effectively. Three machine learning methods, Support Vector Machine (SVM), Random Forest (RF) Extreme Learning (ELM), are introduced this paper, then compared with Partial Least Squares (PLS) method. With correlation analysis pretreatment spectral band, models constructed soil. results show that prediction methods better than...
The potential hazard of heavy metals in reclaimed mine soil has influenced on the human health. inversion analysis hyperspectral data can be used to estimate metal content effectively. In this paper, characteristic bands are extracted by spectral pretreatment, including Savitzky-Golay (SG), Standard Normal Variety (SNV), First Derivative (FD), Second (SD), or Continuum Removal (CR) etc. Then, weighted k-Nearest Neighbor (weighted k-NN) method is applied modeling with data. Compared widely...
Abstract The efficiency of ecosystem restoration degraded land is typically assessed using vegetation structure parameters (VSP). However, the field measurement VSP, particularly in Qinghai–Tibet Plateau (QTP), which a problematic area for ecological because its harsh environment, generally time‐consuming and labour intensive. Therefore, new methods VSP should be developed. In this study, were quantified at individual scale, including their number, height, crown width. Furthermore, quadrat...
Inverting soil parameters through hyperspectral techniques is currently one of the highly popular research topics and major challenges in quantitative remote sensing. To date, indoor spectral data-based inversion models cannot be directly applied to satellite-based data, due weak model migration capability caused by large differences between two data. Therefore, present study aims improve parameter accuracies using GF-5 sensing data merging multiple First, Analytical Spectral Devices (ASD)...
Studying the spatial distribution of soil organic matter (SOM) and exploring its driving factors in semi-arid grassland open-pit coal mining areas is crucial for sustaining ecological development security. Currently, research on SOM lacks large-scale investigation, sampling, distribution, force areas, it unable to comprehensively grasp characteristics mines. In view this, this study took Shengli Coal Field Xilinhot City, hinterland Xilingol Grassland, as an example forces area. The results...
Abstract Vegetation restoration is one of the effective measures to deal with land degradation, and shrubs, as pioneer plants, can improve soil conditions accelerate recovery desertification. In recent decades, single‐scan (SS) multiple‐scan (MS) modes have been widely used for forest inventories by terrestrial laser scanner (TLS) but TLS‐based shrub observation, data quality uncertainties are less studied, especially in eco‐fragile regions high survey costs harsh environmental conditions....
Abstract Background: In recent decades, vegetation surveys based on terrestrial laser scanning (TLS) have developed rapidly, especially the forest inventory, but few studies been conducted to low-height vegetation. Because of high investigation cost and subjectivity, it is impending provide a scientific scheme TLS for survey (e.g. shrub, grassland, meadow) in eco-fragile region Qinghai-Tibetan Plateau). Method: this study, we extracted parameter i.e., number, height (H), crown width (CW) two...