A5091583753- Remote Sensing in Agriculture
- Soil erosion and sediment transport
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Hydrology and Watershed Management Studies
- Wood and Agarwood Research
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Environmental and Agricultural Sciences
- Educational Research and Pedagogy
- Teaching and Learning Programming
- Education and Learning Interventions
Guizhou Normal University
2021-2025
Gansu Desert Control Research Institute
2022-2025
Tsinghua University
2019
This study investigates the correlation between optical vegetation indices (NDVI, EVI, and DVI) in Xixiu Modern Efficient Vegetable Agricultural Demonstration Park using Sentinel-1A radar Sentinel-2A imagery.Results show that VH back-scattering coefficients exhibit most significant with across time periods, while VV, RVI, CR weaker or inconsistent correlations. Landscape shape index (LSI) patch size significantly influence these relationships, larger LSI sizes enhancing VH, NDVI/DVI.
The Pitaya industry is a specialty fruit in the mountainous region of Guizhou, China. planted area Guizhou reaches 7200 ha, ranking first country. At present, planting lacks efficient yield estimation methods, which has negative impact on downstream chain, stymying constant growing market. fragmented and complex terrain karst areas capricious local weather have hindered accurate crop identification using traditional satellite remote sensing there currently little attempt made to tackle...
Yellow soils developed in limestone weathering materials are representative on Guizhou Plateau, Southwest China. As one of the most important cultivated Province, karst yellow generally thin and can be significantly damaged by mild soil erosion. This work used structural equation model (SEM) to analyze influence various factors runoff generation sediment loss based a long time series (2015–2020) natural rainfall-runoff data erosion collected from 18 plots region China, which reflects...
Considering the fragmentation of karst mountainous areas, a Dajiang Innovation Mavic 2 Pro quadcopter drone was used to collect visible light images modern intensive agricultural planting area in response high labor intensity and low efficiency manual assessment plastic film mulching (PFM). First, characteristics RGB values 10 main types features sample area, such as PFM, crops, buildings, roads, were analyzed based on color index, geometric size, texture characteristics. Second,...
The counting of crop plants is an important basis for the estimation pitaya yield. Traditional monitoring methods are time-consuming and laborious. tree, one characteristic economic crops in complex mountain environment, was selected as research object. Considering comprehensive factors such different seasons, cloud shadow shading, interplanting, steep terrain, breeds, ages trees, quad-rotor unmanned aerial vehicles (UAVs) were used to collect visible light images planting base trees test...
Computational thinking is viewed as a critical and necessary skill in the 21st century that everyone should learn.In addition, six years ago, Wing had argued for adding this new competency to every child's analytical ability vital element of science, technology, engineering, mathematics (STEM) learning.This study aims analyze an unplugged computer course effects on young students' computational thinking, especially focuses their programming attitude concepts explore relationship between...
The efficient and rapid extraction of information about the growth period Zanthoxylum bungeanum maxim is one prerequisites for analyzing mastering its trend. 5-cm high-resolution visible-light red, green, blue (RGB) image growing obtained based on low-altitude aerial photography a quad-rotor unmanned vehicle (UAV) platform. color space R-, G-, B-channels converted into H-, S-, L-, V-components, sensitivity seven feature vectors to target features analyzed. combination R-band, H-component,...