A5081059188- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil Carbon and Nitrogen Dynamics
- Remote Sensing and LiDAR Applications
- Soil Moisture and Remote Sensing
- Risk and Safety Analysis
- Forest ecology and management
- Landslides and related hazards
- Impact of Light on Environment and Health
- Cancer Genomics and Diagnostics
- Image Processing and 3D Reconstruction
- Remote Sensing and Land Use
- Microbial Community Ecology and Physiology
- Urban Heat Island Mitigation
- Parallel Computing and Optimization Techniques
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Real-Time Systems Scheduling
- Urban Green Space and Health
- Soil erosion and sediment transport
- Land Use and Ecosystem Services
- Embedded Systems Design Techniques
- Gut microbiota and health
- Advanced Decision-Making Techniques
Ludong University
2022-2025
Humboldt-Universität zu Berlin
2019-2025
Beijing Normal University
2024
Nanjing Agricultural University
2017-2024
Chengdu University of Technology
2024
Ningxia Academy of Agriculture and Forestry Sciences
2021-2024
Helmholtz Centre for Environmental Research
2019-2023
China University of Mining and Technology
2022
Northwest Normal University
2022
Xichang University
2021
Crop-type identification is very important in agricultural regions. Most researchers this area have focused on exploring the ability of synthetic-aperture radar (SAR) sensors to identify crops. This paper uses multi-source (Sentinel-1, Sentinel-2, and Landsat-8) multi-temporal data crop types. The change detection method was used analyze spectral indices information time series. Significant differences growth status during growing season were found. Then, three obviously differentiated...
Winter wheat is the second largest food crop in China. It important to obtain reliable winter acreage guarantee security for most populous country world. This paper focuses on assessing feasibility of in-season mapping and investigating potential classification improvement by using SAR (Synthetic Aperture Radar) images, optical integration both types data urban agricultural regions with complex planting structures Southern Both (Sentinel-1A) (Landsat-8) were acquired, different combinations...
Soil organic carbon (SOC) has a large impact on soil quality and global climate change. It is therefore important to be able predict SOC accurately promote sustainable management. Although the synthetic aperture radar (SAR) many advantages been widely used in science research, it rarely previous mapping studies based remote sensing images. The purpose of this study was investigate ability multi-temporal Sentinel-1A data prediction, by comparing predictive performance random forest (RF)...
Urban expansion encroaches on green spaces and weakens ecosystem services, potentially leading to a trade-off between ecological conditions socio-economic growth. Effectively coordinating the two elements is essential for achieving sustainable development goals at urban scale. However, few studies have measured urban–ecological linkage in terms of trade-off. In this study, we propose framework by linking degraded land use efficiency from return investment perspective. Taking rapidly...
This paper focuses on evaluating the ability and contribution of using backscatter intensity, texture, coherence, color features extracted from Sentinel-1A data for urban land cover classification comparing different multi-sensor mapping methods to improve accuracy. Both Landsat-8 OLI Hyperion images were also acquired, in combination with data, explore potential The was performed a random forest (RF) method. results showed that optimal window size all texture 9 × 9, each individual feature....
Background Tillage practices can substantially affect soil properties depending on crop stage. The interaction between tillage and growth arbuscular mycorrhizal fungi (AMF) communities remains unclear. We investigated the interactions four treatments (CT: conventional tillage, RT: reduced NT: no with mulch, SS: subsoiling mulch), maintained for 25 years, two wheat stages (elongation stage grain filling stage) AMF diversity community composition. Results composition strongly changed during...
This paper re-examines the relationships between night-time light (NTL) and gross domestic product (GDP), population, road networks, carbon emissions in China India. Two treatments are carried out to those factors NTL, which include simple summation each administrative region (total data), normalized by area (density data). A series of univariate regression multiple experiments conducted different countries at scales, order find changes relationship NTL every parameter situations. Several...
In system-level design of real-time embedded systems, being able to capture the interactions among tasks with respect timing constraints and determine overall system performance is a major challenge. Most previous works in area are either based on fixed execution time model or only concerned probabilistic behavior each individual task. The few papers that deal have used improper assumptions. this paper, given task discrete random variable, novel concept state introduced new metric derived...
Soil total nitrogen (STN) is an important indicator of soil quality and plays a key role in global cycling. Accurate prediction STN content essential for the sustainable use resources. Synthetic aperture radar (SAR) provides promising source data monitoring because its all-weather, all-day monitoring, but it has rarely been used mapping. In this study, we explored potential multi-temporal Sentinel-1 to predict by evaluating comparing performance boosted regression trees (BRTs), random forest...
Abstract Background Soil organic carbon (SOC) is a critical component of the global cycle, and an accurate estimate regional SOC stock (SOCS) would significantly improve our understanding sequestration cycles. Zoige Plateau, locating in northeastern Qinghai-Tibet has largest alpine marsh wetland worldwide exhibits high sensitivity to climate fluctuations. Despite increasing use optical remote sensing predicting SOCS, obvious limitations Plateau due highly cloudy weather, knowledge on spatial...
Compared to traditional biochar (BC), nano-biochar (NBC) boasts superior physicochemical properties, promising extensive applications in agriculture, ecological environments, and beyond. Due its strong adsorption migration NBC may carry nutrients or pollutants deeper soil layers even groundwater, causing serious environmental risks. Nevertheless, the rules mechanisms of are still unclear. Therefore, this study employed column experiments systematically explore under various flow rates,...
The objective of this research was to investigate the impact seasonality on urban land-cover mapping and explore better classification accuracy by using multi-season Sentinel-1A GF-1 wide field view (WFV) images, combinations both types images in subtropical monsoon-climate regions Southeast China. We obtained WFV as well data, a support vector machine (SVM) random forest (RF) classifier. backscatter intensity, texture, interference-coherence were extracted from different these...
Abstract Soil pH affects food production, pollution control and ecosystem services. Mapping soil levels, therefore, provides policymakers with crucial information for developing sustainable use management policies. In this study, we used the LUCAS 2015 TOPSOIL data to map at a European level. We random forest kriging (RFK) build predictive model of spatial variability pH, as well (RF) without co‐kriging boosted regression trees (BRT) modelling techniques. Model accuracy was evaluated using...
Quantifying the temporal and spatial patterns of impervious surfaces (IS) is important for assessing environmental ecological impacts urbanization. In order to better extract IS, explore divergence in urbanization different regions, research on regional differentiation features change difference IS are required. To China’s 2013 urban area, we used night light (NTL) data Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index enhanced vegetation index (EVI) series...
The quality of "non-landslide' samples data impacts the accuracy geological hazard risk assessment. This research proposed a method to improve performance support vector machine (SVM) by perfecting 'non-landslide' in landslide susceptibility evaluation model through fuzzy c-means (FCM) cluster generate more reliable maps. Firstly, three sample selection scenarios for include following principles: 1) select randomly from low-slope areas (scenario-SS), 2) with no hazards (scenario-RS), 3)...