A5100743645- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Soil Moisture and Remote Sensing
- Aerogels and thermal insulation
- Advanced Sensor and Energy Harvesting Materials
- Surface Modification and Superhydrophobicity
- Environmental Changes in China
- Forest ecology and management
- Environmental Quality and Pollution
- Remote Sensing and LiDAR Applications
- Network Security and Intrusion Detection
- Hydrology and Watershed Management Studies
- Hydrocarbon exploration and reservoir analysis
- Enhanced Oil Recovery Techniques
- Forest Management and Policy
- Remote-Sensing Image Classification
- Geophysical Methods and Applications
- CO2 Sequestration and Geologic Interactions
- Soil and Unsaturated Flow
- Internet Traffic Analysis and Secure E-voting
- Cryospheric studies and observations
- Solar Radiation and Photovoltaics
- Conservation, Biodiversity, and Resource Management
Xihua University
2021-2024
Chinese Academy of Sciences
2013-2023
Suzhou Institute of Nano-tech and Nano-bionics
2021-2023
Institute of Information Engineering
2022-2023
University of Chinese Academy of Sciences
2020-2023
Institute of Information Security
2023
Chongqing University of Technology
2021-2022
National Security Technologies (United States)
2022
Dalian University of Technology
2017-2022
Qingdao University of Science and Technology
2022
Abstract Aerogel fibers, which combine the lightweight and multimesoporous properties of aerogel with flexible slender characteristics fiber, have received growing attention in fields smart fabrics, electronic devices, transparency‐determined optics. Herein a pure Ti 3 C 2 T x MXene showing an intriguing oriented mesoporous structure, ultrahigh electrical conductivity, electrothermal/photothermal dual‐responsiveness, is fabricated via simple dynamic sol–gel spinning subsequent supercritical...
Abstract Strong regression relationships between light detection and ranging (LIDAR) metrics indices of forest structure have been reported in the literature. However, most papers focus on empirical results do not consider LIDAR metric selection biological interpretation explicitly. In this study, three different variable methods (stepwise regression, principle component analysis [PCA], Bayesian modeling averaging [BMA]) were compared using data from study sites: Capitol Forest western...
The Jinghe County of the Ebinur Lake Basin was chosen as study area. Based on Landsat TM / OLI images obtained in 2007 and 2017, this paper attempts to use CLUE-S model predict LUCC under three different scenarios (Natural Development scenario, Farmland Protection Water Resources scenarios) 2027. Landscape indices ecological risk index were calculated spatially interpolated for whole region, results could be divided into five zones: extremely low, moderate, high high. They carried out...
Oasis cities are deeply affected by human activities in arid and semi-arid regions. Vegetation is an important repository the carbon cycle of oasis urban ecosystems. The continuous expansion has a disproportionate impact on sequestration capacity vegetation. Till now, studies have been conducted to quantify urbanization vegetation capacity, mechanism such remains unclear lacks systematic investigations, especially urban. Understanding greatly benefits sustainable development regional...
In view of the serious perniciousness and complex diversity actual wastewater systems, exploiting a robust multifunctional adsorbent material featuring high sorption efficiency, broad-spectrum applicability, excellent recyclability in treating multifarious pollutants water (such as oils fluoride ions) is highly required; however, it still daunting goal to pursue date. this work, novel mechanically exceptional graphene oxide/hydroxyapatite nanowire (GO/HAPNW) aerogels (RGHAs/polydopamine...
Soil moisture (SM) is a key parameter of the hydrological process, which affects exchanges water and heat at land/atmosphere interface. The "trapezoid" (or "triangle") method has been widely applied to SM monitoring based on pixel distribution within thermal optical remote sensing observations. However, trapezoid linear empirical model highly related retrieval accuracy surface temperature. In article, moderate-resolution imaging spectroradiometer (MODIS) data were retrieve through an...
The dynamics of Gross Primary Productivity (GPP) is key to understand the global carbon cycle. Multiple GPP products are currently available based on remote sensing, Light Use Efficiency model (LUE) or diagnostic biophysical model. However, little knowledge spatial patterns uncertainty different and their potential drivers over Central Asia (CA), a fragile environment for accurate estimation. This study investigates sensitivity 8-day, monthly yearly uncertainties three-cornered hat (TCH)...
Exploring the spatial network structure of tourism flow and its influencing factors is great significance to transmission characteristic culture sustainable development in tourist destinations, especially backward rural areas. Taking Qiandongnan Miao Dong Autonomous Prefecture (hereinafter referred as Prefecture) an example, this paper adopts social analysis Quadratic Assignment Procedure regression study structural characteristics using online travel blog data. The results show that: (1)...
Gross primary productivity (GPP) and evapotranspiration (ET) are two important fluxes between the terrestrial ecosystems atmosphere. Remote sensing data-driven models have been successfully used to estimate carbon water in various ecosystems, but still underperforming dryland. In this study, agreement Moderate Resolution Imaging Spectroradiometer (MODIS) products, MODIS models, eddy covariance (EC) tower observation data were tested for different ecosystem sites arid regions Xinjiang, China....
Distributed Denial of Service (DDoS) attacks have occurred frequently in recent years, causing massive damage. It is critical to detect DDoS fast and accurately. Previous Deep Learning (DL) methods for detecting barely leverage the relationships between packets flows traffic, which are crucial information that can significantly improve detection performance. This paper proposes GraphDDoS, a GNN-based approach using endpoint traffic graphs. Concretely, we convert into graphs, containing...
An ultrathin vanadium pentoxide nanosheets colloid has been synthesized using peroxovanadium coordination compound (PVC) as a precursor through simple, light-assisted aqueous-phase synthetic strategy. The μ-chelated triangle structured radicals, obtained by selective decomposition of the PVC under UV irradiation, can limit condensation process proceeding only within ab plane, leading to planar nanopieces intermediate in initial stage refluxing reaction. Ultrathin were then formed oriented...
Extracting building information from remote sensing (RS) images have always played an important role in civil and military. In recent years, many efficient approaches are proposed to detect images. CNN (Convolutional Neural Networks) has proven be effective way of this problem. paper, learn features better, we propose a convolutional network based on Unet++ containing dense connections. Our contributions as follows:(1)Rebuild by applying DenseNet its backbone; (2)Add 1×1 convolution layers...
We report an electroless-plating-like solution deposition approach for large-area flexible thin films of crystalline transition metal oxides.