A5037025242- Land Use and Ecosystem Services
- Marine Bivalve and Aquaculture Studies
- Urban Green Space and Health
- Diverse Aspects of Tourism Research
- Impact of Light on Environment and Health
- Coral and Marine Ecosystems Studies
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Conservation, Biodiversity, and Resource Management
- Landslides and related hazards
- Coastal and Marine Management
- Water Quality Monitoring Technologies
- Air Quality Monitoring and Forecasting
- Rangeland Management and Livestock Ecology
- Sport and Mega-Event Impacts
- Tree-ring climate responses
- Food Industry and Aquatic Biology
- Urbanization and City Planning
- Urban Transport and Accessibility
- Urban Agriculture and Sustainability
- Hydrology and Watershed Management Studies
- Tourism, Volunteerism, and Development
- Wildlife-Road Interactions and Conservation
- Atmospheric chemistry and aerosols
- Hydrology and Drought Analysis
China Jiliang University
2023
Zhejiang University
2018-2022
Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the extent and intensity of human activities have been extensively used understand urbanization since 1992. The recent proliferation NTL sensors, algorithms, products creates new opportunities contemporary associated socioeconomic environmental changes. We conducted a comprehensive literature review 688 peer-reviewed papers published between 1992 2022 trends in how study (e.g., with which products,...
Abstract. China has witnessed extensive development of the marine aquaculture industry over recent years. However, such rapid and disordered expansion posed risks to coastal environment, economic development, biodiversity protection. This study aimed produce an accurate national-scale map at a spatial resolution 16 m, using proposed model based on deep convolution neural networks (CNNs) applied it satellite data from China's GF-1 sensor in end-to-end way. The analyses used homogeneous CNNs...
Landslides are a common geodynamic phenomenon that cause substantial life and property damage worldwide. In the present study, we developed models to evaluate landslide susceptibility in forest-covered areas Lin’an, southeastern China using logistic regression (LR), decision tree (DT), random forest (RF) techniques. addition conventional landslide-related natural human disturbance factors, factors describing cover, including type (two plantations (hickory bamboo) four forests (conifer,...
This study introduces an improved VMD based signal decomposition methodology for non-contact heartbeat estimation using millimeterwave (mmWave) radar. Specifically, we first analyze the model of mmWave radar system. The Variational Mode Decomposition (VMD) integrated with Newton-Raphson-based optimizer (NRBO) algorithm are sequentially utilized cardiac mechanic (CMS) reconstruction. accuracy is enhanced by adaptively optimizing parameters including intrinsic mode functions (IMFs) and penalty...
Shrinking cities—cities suffering from population and economic decline—has become a pressing societal issue of worldwide concern. While night-time light (NTL) data have been applied as an important tool for the identification shrinking cities, current methods are constrained biased by lack using long-term continuous NTL time series use unidimensional indices. In this study, we proposed novel method to identify classify cities data, in northeastern China (NEC) 1996 2020. First, established...
The demand for calculating and mapping water yield is increasing inaccessible locations or areas of conflict to support decision makers. Integrated Valuation Environmental Services Tradeoffs (InVEST) was applied simulate basin hydrology. InVEST becoming popular in the modeling community due its low requirements input information, level skill model setup available public domain. Estimation production, evapotranspiration precipitation Nile River Basin have been performed by using open access...
Understanding the spatiotemporal dynamics of bamboo forests is critical importance as it characterizes interaction between forest and agricultural ecosystems provides essential information for sustainable ecosystem management decision-making. Thus far, specific moso (Phyllostachys edulis) other are still unknown. In this study, we used temporal extracted from Landsat time series stacks with Google Earth Engine (GEE) to characterize forests, including bamboo, in Lin’an County, China, 2000...
Rural tourism, as an emerging industry formed by the integration of various industries, has gradually become essential method rural economic development. However, few studies have comprehensively addressed how it develops. This paper aims to reveal major trends and hotspots in field tourism past two decades. A scientometric visualization analysis was applied publications on this theme collected from Web Science database between 2000 2021. The results are shown follows: (1) There overall...
Picea schrenkiana var.tianshanica (PSVT) is an endemic tree species in Xinjiang, and serves as windbreak soil consolidation, to ensure the stability of ecological environment.To efficiently quickly grasp status PSVT forest ecosystem, we used images different resolutions (GF-2 (1 m), GF-1 (8 (16 Landsat 8 (30 m)) combined with field survey data, performed multi-resolution segmentation select best scales.Based on spectrum, texture terrain factors, canopy closure inversion was characteristic...
<ja:p>In the forest areas of eastern China, there is a change from dominated by deciduous broad-leaved trees to evergreen as latitude or altitude decreases. Different life forms have different survival strategies deal with climate change, and studying form dynamics tree layers in mixed increasing temperature, can help us understand how responds. This study was performed 1 ha plot Tianmu Mountain National Nature Reserve. Based on data two surveys (1996 2017), changes composition biodiversity...
Abstract. China has witnessed extensive development of the marine aquaculture industry over recent years. However, such rapid and disordered expansion posed risks to coastal environment, economic development, biodiversity protection. This study aimed produce an accurate national-scale map at a spatial resolution 16 m, using proposed deep convolution neural networks (CNNs) based model applied it satellite data from China's GF-1 sensor in end-to-end way. The analyses used homogeneous CNNs...