Search Results - "Cui, Guishan"
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Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms
Published in Remote sensing (Basel, Switzerland) (01-02-2022)“…Forest aboveground biomass (AGB) is of great significance since it represents large carbon storage and may reduce global climate change. However, there are…”
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Toward a More Robust Estimation of Forest Biomass Carbon Stock and Carbon Sink in Mountainous Region: A Case Study in Tibet, China
Published in Remote sensing (Basel, Switzerland) (01-05-2024)“…Mountainous forests are pivotal in the global carbon cycle, serving as substantial reservoirs and sinks of carbon. However, generating a reliable estimate…”
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The impacts of climate variation and land use/cover change on net primary productivity in the Tumen River Basin
Published in Landscape and ecological engineering (01-04-2022)“…In the context of climate variation and land use/cover change (LUCC), terrestrial ecosystem has substantially changed over the past few decades, which can be…”
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Characterization of Two Main Forest Cover Loss Transitions in North Korea from 1990 to 2020
Published in Forests (01-10-2023)“…This study aims to characterize forest cover transitions in North Korea and identify deforested areas that are degraded or at risk of degradation. We used…”
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Signatures of Wetland Impact: Spatial Distribution of Forest Aboveground Biomass in Tumen River Basin
Published in Remote sensing (Basel, Switzerland) (01-08-2021)“…The Tumen River Basin, located in the cross-border region of China, North Korea, and Russia, constitutes an important ecological barrier in China. Forest here…”
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Impacts of Land Cover Changes on Ecosystem Carbon Stocks Over the Transboundary Tumen River Basin in Northeast Asia
Published in Chinese geographical science (01-12-2018)“…Understanding the effects of land cover changes on ecosystem carbon stocks is essential for ecosystem management and environmental protection, particularly in…”
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Assessing vulnerability of forests to climate change in South Korea
Published in Journal of forestry research (01-06-2016)“…This study demonstrated a framework to assess vulnerability of forests to climate change. We focused on how alterations of temperature and precipitation might…”
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Estimating plot volume using lidar height and intensity distributional parameters
Published in International journal of remote sensing (01-01-2014)“…This study explored the feasibility of height distributional metrics and intensity values extracted from low-density airborne light detection and ranging…”
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Development of an Integrated DBH Estimation Model Based on Stand and Climatic Conditions
Published in Forests (01-03-2018)“…Using Korean National Forest Inventory (NFI) data, our study developed a model to estimate stand mean diameter at breast height (DBH) reflecting the influence…”
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Application of CASI Hyperspectral Image to Analysis of the Distribution of Hydrogen-Fluoride-Damaged Vegetation in Gumi, Korea
Published in Journal of the Indian Society of Remote Sensing (01-04-2017)“…On the night of 27th Sept 2012, a hydrogen fluoride (HF) storage tank exploded in the industrial area of Gumi, Korea. In this study, an attempt was made to…”
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Estimation of the ecosystem carbon budget in South Korea between 1999 and 2008
Published in Ecological research (01-11-2013)“…A carbon flux model, the vegetation integrated simulator for trace gases, was employed to estimate the carbon budgets of vegetation ecosystems in South Korea…”
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Desertification monitoring by LANDSAT TM satellite imagery
Published in Forest science and technology (01-09-2011)“…The desertification tendency of the Qubqi Desert in China for 10 years was investigated using vegetation and soil change indices extracted from seven LANDSAT…”
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The positive impact of extreme heat on vegetation growth in Northeast Asia
Published in Agricultural and forest meteorology (15-03-2024)“…•This study explored the diverse impacts of climate extremes on vegetation growth extremes.•Extreme heat induces vegetation high-growth, while extreme cold…”
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Forest plot volume estimation using National Forest Inventory, Forest Type Map and Airborne LiDAR data
Published in Forest science and technology (01-06-2012)“…The importance of estimating forest volume has been emphasized by increasing interest on carbon sequestration and storage which can be converted from volume…”
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Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China
Published in ISPRS journal of photogrammetry and remote sensing (01-03-2024)“…Regional carbon sink estimation and local forest management require spatially explicit maps of bamboo distribution. However, accurate bamboo mapping is…”
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Drought monitoring of the wetland in the Tumen River Basin between 1991 and 2016 using Landsat TM/ETM
Published in International journal of remote sensing (16-02-2019)“…Wetland areas are known as 'the kidneys of the Earth' because they provide important functions towards stabilizing the environment, long-term protection of…”
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Multisatellite Analyses of Spatiotemporal Variability in Photosynthetic Activity Over the Tibetan Plateau
Published in Journal of geophysical research. Biogeosciences (01-12-2019)“…Ecosystems on the Tibetan Plateau are particularly sensitive to climate change. Significant advances have been made toward understanding the effects of climate…”
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Inferring the potential impact of human activities on evapotranspiration in the Tumen River Basin based on LANDSAT imagery and historical statistics
Published in Land degradation & development (30-01-2021)“…Understanding the spatial and temporal changes in actual evapotranspiration (ETa) caused by different human activities is important for water management in…”
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Estimation of forest carbon budget from land cover change in South and North Korea between 1981 and 2010
Published in Journal of plant biology = Singmul Hakhoe chi (01-08-2014)“…This paper quantified carbon budget in the past 30 years (1981–2010) and identified the impact of land cover change on carbon dynamics using vegetation…”
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