- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Environmental Changes in China
- Environmental Quality and Pollution
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Mining and Resource Management
- Evaluation Methods in Various Fields
- Species Distribution and Climate Change
- Soil and Land Suitability Analysis
- Geomechanics and Mining Engineering
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Geoscience and Mining Technology
- Regional Development and Environment
- Landslides and related hazards
- Environmental and Agricultural Sciences
- Rock Mechanics and Modeling
- Wildlife-Road Interactions and Conservation
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Geophysics and Gravity Measurements
- Coal Properties and Utilization
- Urban Heat Island Mitigation
- Evaluation and Optimization Models
Henan Polytechnic University
2016-2025
Zhejiang Sci-Tech University
2019
Nanjing University of Science and Technology
2013
Beijing Normal University
2012
Shanghai Liangyou (China)
2001
Overlapped areas of crop and coal production are responsible for national food security mineral resource supply. However, long-term mining urban rural construction have continuously impacted the structure functions original agricultural landscape ecosystem in area brought serious ecological problems. On basis results remote sensing image classification Zhaogu area, this study explores spatio-temporal variation characteristics pattern evolution predicts status 2029. Research show that...
Abstract Traditional cemented paste backfilling continues to face the shortcomings such as leakage, poor adaptability geological structures and insufficient roof-contact. To solve limitations, a novel L-shaped (LCPB) technology was proposed in this study. It is set filling zones partition goaf perform interval multiple filling. A mechanical model established calculate body strength, widths of backfilled ratio etc. The results case study showed that: (1) LCPB mining has high ratio, without...
Vegetation indices are important representatives of plant growth. Climate change and human activities seriously affect vegetation. This study focuses on the Huojitu mining area in Shendong region, utilizing kNDVI index calculated via Google Earth Engine (GEE) cloud platform. The Mann–Kendall mutation test linear regression analysis were employed to examine spatiotemporal changes vegetation growth over a 25-year period from 1999 2023. Through correlation analysis, geographic detector models,...
Arid and semi-arid regions are highly sensitive vulnerable to climate change human activities. Clarifying their spatial distribution is of great significance for understanding regional drought dynamics. This research examines the Shendong mining region, employing time series data vegetation growth anomalies derived from total primary productivity delineate ecological drought. The SPI dataset, representing meteorological drought, utilized identify frequency, duration, intensity both types...
After large-scale land consolidation in hilly loess region of the Loess Plateau China, subsidence has a wide affecting area and considerable difficulty prevention. Hence, large-scale, stabilized, continuous deformation monitoring is urgently needed for slopes. In this study, zone platform Weinan, was selected as object, 30-scene Sentinel-1A data Jan, 2018 to Dec, 2019 were analyzed. The mean annual velocity ground from -6.19 mm∙a -1 3.86 , Accumulated within -8.49 7.24 . changed with seasons...
Abstract Several deficiencies exist in the present evaluation of land reclamation quality mining areas. These include absence an established set index systems and standard acceptance criteria, as well use traditional sampling techniques, which are costly efficiency, time-consuming. Compared with survey methods, remote sensing has advantages a wide detection range, diverse information collection, multiple data-acquiring strategies, high speed, short cycle. In this study, we used Xinzhuang...
Alterations in vegetation cover serve as a significant indicator of land ecology. The Shendong Coal Mining Area, being the largest coal base globally, holds importance for national energy security. Moreover, it has gained recognition its environmentally conscious approach to mining, characterized by simultaneous implementation mining activities and effective governance measures. In order assess ongoing recovery temporal changes within we initially utilized Landsat TM/ETM+/OLI remote sensing...
Traditional remote sensing spatio-temporal data fusion algorithms generally use up-sampled low-resolution images (MODIS) to be fused with high-resolution (Landsat), this makes both less spatially consistent and many hybrid image elements in images, so uncertainty errors propagate into the results. To address issue, we propose a framework for combining deep learning-based super-resolution techniques traditional methods. By reconstructing using reconstruction techniques, obtain more spatial...
The integration of multi-source remote sensing data, bolstered by advancements in deep learning, has emerged as a pivotal strategy for enhancing land use and cover (LULC) classification accuracy. However, current methods often fail to consider the numerous prior knowledge images characteristics heterogeneous resulting data loss between different modalities significant amount useful information, thus affecting To tackle these challenges, this paper proposes LULC method based on that combines...
Fine and large particles flowing through a bend in pipe move differently therefore erode the differently. This paper simulates solid-liquid two-phase flow containing analyses relationship between wear formation particle motion. Wear experiments are carried out using 3-mm glass bead at mass concentration of 1-15%. At same time, field motion granular system obtained computational fluid dynamics-discrete element method simulation. The mechanism is revealed by comparing with numerical...
Abstract Understanding the impact of tillage erosion on soil organic carbon (SOC) and nitrogen (N) fractions is essential for targeted conservation in mountainous hilly areas. However, little known about this issue. In study, we selected a erosion-dominated hillslope from Sichuan Basin, China, to determine effect particulate OC (POC), dissolved (DOC), light fraction (LFOC), ammonium N (NH 4 + -N), nitrate (NO 3 − -N) alkali-hydrolysable (AN). Additionally, investigated microbial activities...
This article mainly studies the selection of matching area in gravity navigation systems underwater vehicles. Firstly, we comprehensively consider 14 types field feature parameters, and a new parameters method is proposed based on principles support vector machine algorithms. Secondly, according to method, five including range, pooling difference, standard deviation anomaly, roughness, correlation coefficient, were selected from features parameters. The are integrated using SVM,...
Coal mining has led to escalating ecological and environmental issues in significant coal grain production areas, posing a severe danger food security. This study examines the disturbance patterns of soil factors microbial communities attempts understand impact subsidence water accumulation stress on characteristics areas with high levels. Five specific regions Zhao Gu Yi Mine, situated Henan Province under ownership Jiaozuo Group, were chosen. Aside from control group (CK), blocks zones...
As an important power facility for transmission corridors, automatic three-dimensional (3D) reconstruction of the pylon plays role in development smart grid. In this study, a novel method using airborne LiDAR (Light Detection And Ranging) point cloud is developed and tested. First, principal component analysis (PCA) algorithm performed redirection based on structural feature upper part pylon. Then, similarity pylon, divided into three parts that are inverted triangular pyramid lower...
The spatial form of urbanization in China has developed from single-core city expansion to a multi-center metropolitan area. However, little attention been paid the growth process emerging area situated major grain producing locations central China. Taking Zhengzhou (ZZMA) as case study, we an inverse S-shape model characterize distribution urban land density, and constructed core index, intensity compactness index quantify structure change that taken place 1978 2017 during expansion....
Although vegetation index time series from optical images are widely used for crop mapping, it remains difficult to obtain sufficient time-series data because of satellite revisit and weather in some areas. To address this situation, paper considered Wen County, Henan Province, Central China as the research area fused multi-source features such backscatter coefficient, index, based on Sentinel-1 -2 identify crops. Through comparative experiments, studied feasibility identifying crops with...
Crop phenotype observation techniques via UAV (unmanned aerial vehicle) are necessary to identify different winter wheat cultivars better realize their future smart productions and satisfy the requirement of agriculture. This study proposes a UAV-based hyperspectral remote sensing system for fine classification cultivars. Firstly, we set 90% heading overlap 85% side as optimal flight parameters, which can meet requirements following imagery mosaicking spectral stitching areas. Secondly,...
High-resolution crop type mapping is of importance for site-specific agricultural management and food security in smallholder farming regions, but challenging due to limited data availability the need image-based algorithms. In this paper, we developed an efficient object- pixel-based algorithm generate a 10 m resolution map over large spatial domains by integrating time series optical images (Sentinel-2) synthetic aperture radar (SAR) (Sentinel-1) using Google Earth Engine (GEE) platform....
Objectives: The game between socio-economic development and ecological has always been the core issue in coal areas, but internal mechanism of tradeoff cooperative dynamic change ecosystem services mining areas under long-term mineral resources is still lacking in-depth research. Methods: Therefore, taking Shendong area as an example, this study used InVEST model to evaluate changes four major service functions from 1990 2020, namely, water yield (WY), net primary productivity (NPP), soil...