A5078590075- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Conservation, Biodiversity, and Resource Management
- Remote-Sensing Image Classification
- Forest Management and Policy
- Colorectal Cancer Treatments and Studies
- Rangeland Management and Livestock Ecology
- Advanced Breast Cancer Therapies
- Remote Sensing and LiDAR Applications
- Wildlife Ecology and Conservation
- Climate change impacts on agriculture
- Species Distribution and Climate Change
- Environmental Changes in China
- Soil erosion and sediment transport
- Geographic Information Systems Studies
- Oil Palm Production and Sustainability
- Impact of Light on Environment and Health
- Urban Green Space and Health
- Sustainable Agricultural Systems Analysis
- Urban Design and Spatial Analysis
- Climate Change, Adaptation, Migration
- Plant Ecology and Soil Science
- Energy Efficiency in Computing
- Ecology and Vegetation Dynamics Studies
Dalian University of Technology
2023-2025
Tsinghua University
2021-2024
Dalian University
2024
China Agricultural University
2019-2023
Ministry of Natural Resources
2019-2023
Chengdu University of Traditional Chinese Medicine
2020
As satellite observation technology develops and the number of Earth (EO) satellites increases, observations have become essential to developments in understanding its environment. However, current impacts remote sensing community different EO data possible future trends applications not been systematically examined. In this paper, we review use based on an analysis from 15 whose are widely used. Articles that reference missions included Web Science core collection for 2020 were analyzed...
The growing population in China has led to an increasing importance of crop area (CA) protection. A powerful tool for acquiring accurate and up-to-date CA maps is automatic mapping using information extracted from high spatial resolution remote sensing (RS) images. RS image extraction includes feature classification, which a long-standing research issue the community. Emerging deep learning techniques, such as semantic segmentation network technique, are effective methods automatically...
Global land cover has undergone extensive and rapid changes as a result of human activities climate change. These have had significant impact on biodiversity, the surface energy balance, sustainable development. data underpins research development earth system models, resource management, evaluation ecological environment. However, there are limitations in classification detail, spatial resolution, change monitoring capability global data. Building earlier Land Cover Mapping (Finer...
Plantation is an important land use type that differs from natural forests and affects the economy environment. Tree age one of key factors used to quantify impact plantations. However, there a lack datasets explicitly documenting planting years global Here we time-series Landsat archive 1982 2020 LandTrendr algorithm generate maps based on plantation extent products in Google Earth Engine (GEE) platform. The developed this study are GeoTIFF format with 30-meter spatial resolution by...
Synergies and trade-offs among land use covers (LULCs) pose considerable uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this context, we unraveled stock dynamics induced by cover change (LUCC) CLP over past 40 years using satellite-derived annual LULC maps InVEST model. Then, mixed measures were employed to quantify global local responses of both natural anthropogenic factors. We found that approximately a total 5.58 × 109 Mg was stored CLP's ecosystems...
Black soil is fertile, abundant with organic matter (OM) and exceptional for farming. The black zone in northeast China the third-largest globally produces a quarter of China’s commodity grain. However, (SOM) this declining, quality cultivated land falling off rapidly due to overexploitation unsustainable management practices. To help develop an integrated protection strategy soil, study aimed identify primary factors contributing SOM degradation. geographic detector, which can detect both...
Various global land use/land cover (LULC) products have been developed to drive land-relevant climate and hydrological models for environmental assessments. However, systematic studies remain scarce that assess the uncertainties of using these products. By a total 16 commonly used LULC products, we find logarithm law upscaling with spatial resolution. The reveals details urban features will be majorly distorted when coarser resolutions. A tipping point around 30-m resolution was identified...
The greenhouse is the fastest growing food production approach and has become symbol of protected agriculture with development agricultural modernization. Previous studies have verified effectiveness remote sensing techniques for mono-temporal mapping. In practice, long-term monitoring from data vital sustainable management existing been limited in understanding its spatiotemporal dynamics. This study aimed to generate multi-temporal maps a typical region (Shouguang region, north China) 1990...
The world's forests are experiencing rapid changes due to land-use and climate change. However, a detailed map of global forest gain at fine spatial temporal resolutions is still missing. To fill this gap, we developed an automatic framework for mapping annual globally using Landsat time series, the LandTrendr algorithm, Google Earth Engine (GEE) platform. First, stable samples collected based on first all-season sample set (FAST) automated migrate method were used determine Normalized Burn...
Agricultural land abandonment and retirement are important lead to different types of use cover change. Generally, caused by social environmental factors result in ecological economic benefits costs. Faced with the complexity agricultural change over time, this study aims develop a new framework distinguish between detect extent exact year using Google Earth Engine (GEE). We tested our approach for three typical regions northern China crop-pasture band, where widespread. First, based on...
Abstract Non-technical summary Oil palm has been criticized for being an environmentally unfriendly oil crop. In recent decades, plantations have extended into conservation landscapes, causing severe environmental damage and harming biodiversity. Nevertheless, remains a highly productive crop from which most of the world's vegetable is produced. Therefore, measuring impact identifying suitable land to support its sustainable development crucial. Technical To meet rising global demand...
Remote sensing and land resource surveys have been used in recent decades for use/land cover (LULC) mapping; however, keeping the developed LULC up-to-date consistent with survey statistics remains challenging. This study a practical effective framework to automatically update existing products bridge gap between remote classification results data. employed Landsat imagery time series, change detection algorithms, sample migration, random forests develop updating China from 1980–2015...
In order to protect the ecological environment and solve poverty problem in western region, China has established an migration (EM) policy. This policy aims relocate populations from poverty-stricken areas with fragile environments, which inevitably leads changes land cover environment. The objective of this study was identify effects EM a typical region (Wuwei), including risk (ER). A change monitoring method implemented for 2010–2019 period six classes using random forest, is effective...
Continuous and accurate monitoring of agricultural landscapes is crucial for understanding crop phenology responding to climatic anthropogenic changes. However, the widely used optical satellite remote sensing limited by revisit cycles weather conditions, leading gaps in monitoring. To address these limitations, we designed deployed a Near Surface Camera (NSCam) Network across China, explored its application land achieving climate-smart agriculture (CSA). By analyzing image data captured...
Abstract. Extreme weather events pose significant challenges to crop production, making their assessment essential for developing effective climate adaptation strategies. Process-based models are valuable evaluating change impacts on yields but often struggle simulate the effects of extreme accurately. To fill this knowledge gap, study introduces WOFOST-EW model, an enhanced version World Food Studies Simulation Model (WOFOST), which integrates indices and deep learning algorithm improve...