A5100391881- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Conservation, Biodiversity, and Resource Management
- Ecology and Vegetation Dynamics Studies
- Rangeland Management and Livestock Ecology
- Environmental Sustainability and Technology
- Land Rights and Reforms
- Impact of Light on Environment and Health
- Wildlife-Road Interactions and Conservation
- Urban Heat Island Mitigation
- Urban Transport and Accessibility
- Regional Economic and Spatial Analysis
- Environmental Quality and Pollution
- Forest ecology and management
Institute of Geographic Sciences and Natural Resources Research
2023
Chinese Academy of Sciences
2023
Nanjing University of Information Science and Technology
2023
Weatherford College
2022
Wuhan University
2018-2021
China Geological Survey
2021
China University of Geosciences (Beijing)
2021
Chinese Research Academy of Environmental Sciences
2021
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2018
Jiangxi Province Forestry Survey Planning Institute
2016-2018
Uneven-aged forest management has received increasing attention in the past few years. Compared with even-aged plantations, complex structure of uneven-aged forests complicates formulation strategies. Forest structural diversity is expected to provide considerable significant information for planning. In present study, we investigated potential using SPOT-5 satellite images extracting diversity. stand variables were calculated from field plots, whereas spectral and textural measures derived...
Forest health is an important variable that we need to monitor for forest management decision making. However, difficult assess and based merely on field surveys. In the present study, first derived a comprehensive indicator using 15 stand attributes extracted from inventory plots. Second, Pearson’s correlation analysis was performed investigate relationship between spectral textural measures SPOT-5 images. Third, all-subsets regression build predictive model by including statistically...
Landscape metrics are widely used in landscape planning and land use management. Understanding how respond with scales can provide more accurate prediction information; however, ignoring the interference of multi-scale interaction may lead to a severe systemic bias. In this study, we quantitatively analyzed scaling sensitivity based on predict their optimal scale ranges. Using big data method, multivariate adaptive regression splines model (MARS), partial dependence (PHP), studied...
The comprehensive use of high-resolution remote sensing (HRS) images and deep learning (DL) methods can be used to further accurate urban green space (UGS) mapping. However, in the process UGS segmentation, most current DL focus on improvement model structure ignore spectral information HRS images. In this paper, a multiscale attention feature aggregation network (MAFANet) incorporating engineering was proposed achieve segmentation from (GaoFen-2, GF-2). By constructing new decoder block,...
Quantitative assessment of livability within a city facilitates the identification urban problems and targeted improvements to environment. Available studies are mostly limited static analysis particular phase. It is difficult reveal dynamic development state cities at micro level. Taking Sino-Singapore Tianjin Eco-city as an example, we established evaluation index system for eco-city from five dimensions, including environmental health, transportation convenience, security, facility...
Abstract. An important feature of the relationships among ecosystem services (ES) is they have temporal and spatial patterns. The purpose this research was to study characteristics synergies trade-offs in ES Guanzhong Basin Hanzhoung Basin, as well compare differences between two basins. spatio-temporal were analysed compared from 1995–2014 for Hanzhong which has a good ecological environment, economically developed using linear relationship grain output NDVI (LRGO & NDVI),...
Urban forests can maintain urban ecological balance and improve environmental quality, but it is difficult to identify such accurately due its complex fragmented features. This study aims develop a deep-learning network extract the forest spatial distribution from high-spatial resolution image, like Chinese Gaofen-2 (GF-2) image. Based on GF-2 surface reflectance image samples known in prior, this firstly create U-Net train generate predictive model forest, then used trained get of Beibei...
A computational model of multi-scale population densities was developed based on the native database Shijiazhuang city. The comprises four parts: data processing, down-scaling, format conversion and up-scaling. Down-scaling completed by apportioning village to each street block. vector dataset block converted into 100m×100m grid dataset, which is minimum grain density. By changing radius circular filter factor, up-scaling density realized obtained. results show that long-term balance human...
Revegetation programs aim to avoid land degradation, control soil erosion, reduce floods, and improve ecological conditions. China has planted billions of trees over the past 20 years. However, little is known about effectiveness this artificial revegetation, its consequences on China’s national conservation policies changes in biophysical factors at county level. Here we use satellite time series data develop a new metric, revegetation index (RVI), that quickly monitors long-term changes....