Search Results - "Ren, Chunying"

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  1. 1

    Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China by Mao, Dehua, Wang, Zongming, Luo, Ling, Ren, Chunying

    Published in ITC journal (01-08-2012)
    “…On the basis of AVHRR GIMMS NDVI and MODIS NDVI, we constructed monthly NDVI sequences covering Northeast China from 1982 to 2009 using a per-pixel unary…”
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    Journal Article
  2. 2

    Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data by Chen, Lin, Wang, Yeqiao, Ren, Chunying, Zhang, Bai, Wang, Zongming

    Published in Remote sensing (Basel, Switzerland) (01-02-2019)
    “…Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest management and carbon cycle tracking. The Shuttle Radar Topographic Mission…”
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    Journal Article
  3. 3

    Exploring the ecological quality and its drivers based on annual remote sensing ecological index and multisource data in Northeast China by Liu, Pan, Ren, Chunying, Yu, Wensen, Ren, Huixin, Xia, Chenzhen

    Published in Ecological indicators (01-10-2023)
    “…•The annual RSEI provides continuous change information about the EQ evolution process.•Northeast China has made significant improvements on EQ since…”
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    Journal Article
  4. 4

    Rapid Invasion of Spartina alterniflora in the Coastal Zone of Mainland China: New Observations from Landsat OLI Images by Liu, Mingyue, Mao, Dehua, Wang, Zongming, Li, Lin, Man, Weidong, Jia, Mingming, Ren, Chunying, Zhang, Yuanzhi

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…Plant invasion imposes significant threats to biodiversity and ecosystem function. Thus, monitoring the spatial pattern of invasive plants is vital for…”
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    Journal Article
  5. 5

    Tracking long-term floodplain wetland changes: A case study in the China side of the Amur River Basin by Jia, Mingming, Mao, Dehua, Wang, Zongming, Ren, Chunying, Zhu, Qiande, Li, Xuechun, Zhang, Yuanzhi

    “…•A novel robust classification approach was designed for mapping land covers.•Hierarchical random forest classification ensured the accuracy of…”
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  6. 6

    Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery by Lin Chen, Chunying Ren, Bai Zhang, Zongming Wang, Yanbiao Xi

    Published in Forests (20-09-2018)
    “…Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management and mitigating climate change to support REDD+ (reducing emissions from…”
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  7. 7

    Quantifying changes in multiple ecosystem services during 1992–2012 in the Sanjiang Plain of China by Wang, Zongming, Mao, Dehua, Li, Lin, Jia, Mingming, Dong, Zhangyu, Miao, Zhenghong, Ren, Chunying, Song, Changchun

    Published in The Science of the total environment (01-05-2015)
    “…Rapid and periodic assessment of the impact of land cover changes on ecosystem services at regional levels is essential to understanding services and…”
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  8. 8

    A convergence analysis of the price of anarchy in atomic congestion games by Wu, Zijun, Möhring, Rolf H., Ren, Chunying, Xu, Dachuan

    Published in Mathematical programming (01-05-2023)
    “…We analyze the convergence of the price of anarchy (PoA) of Nash equilibria in atomic congestion games with growing total demand T . When the cost functions…”
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  9. 9

    Exploitation of Time Series Sentinel-2 Data and Different Machine Learning Algorithms for Detailed Tree Species Classification by Xi, Yanbiao, Ren, Chunying, Tian, Qingjiu, Ren, Yongxing, Dong, Xinyu, Zhang, Zhichao

    “…The classification of tree species through remote sensing data is of great significance to monitoring forest disturbances, biodiversity assessment, and carbon…”
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  10. 10
  11. 11

    Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery by Ren, Chunying, Jiang, Hailing, Xi, Yanbiao, Liu, Pan, Li, Huiying

    Published in Remote sensing (Basel, Switzerland) (01-01-2023)
    “…Remotely sensed estimates of forest diversity have become increasingly important in assessing anthropogenic and natural disturbances and their effects on…”
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  12. 12

    Tracking annual dynamics of mangrove forests in mangrove National Nature Reserves of China based on time series Sentinel-2 imagery during 2016–2020 by Zhang, Rong, Jia, Mingming, Wang, Zongming, Zhou, Yaming, Mao, Dehua, Ren, Chunying, Zhao, Chuanpeng, Liu, Xianzhao

    “…[Display omitted] •Proposed a robust mapping approach by integrating OBIA and Otsu algorithm.•Mangrove forest in the MNNRs increased during 2016–2020, with a…”
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    Journal Article
  13. 13

    A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content by Chen, Lin, Ren, Chunying, Li, Lin, Wang, Yeqiao, Zhang, Bai, Wang, Zongming, Li, Linfeng

    “…Accurate digital soil mapping (DSM) of soil organic carbon (SOC) is still a challenging subject because of its spatial variability and dependency. This study…”
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  14. 14

    Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China’s boreal forests by Liu, Pan, Ren, Chunying, Yang, Xiutao, Wang, Zongming, Jia, Mingming, Zhao, Chuanpeng, Yu, Wensen, Ren, Huixin

    Published in Scientific reports (11-11-2024)
    “…Accurately mapping aboveground biomass (AGB) in China’s boreal forests is crucial for assessing global carbon stock and formulating forest management…”
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  15. 15

    Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest by Liu, Pan, Ren, Chunying, Wang, Zongming, Jia, Mingming, Yu, Wensen, Ren, Huixin, Xia, Chenzhen

    Published in Remote sensing (Basel, Switzerland) (01-01-2024)
    “…Accurate and reliable information on tree species composition and distribution is crucial in operational and sustainable forest management. Developing a…”
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  16. 16

    Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region by Chen, Lin, Ren, Chunying, Bao, Guangdao, Zhang, Bai, Wang, Zongming, Liu, Mingyue, Man, Weidong, Liu, Jiafu

    Published in Remote sensing (Basel, Switzerland) (01-06-2022)
    “…Accurate and effective mapping of forest aboveground biomass (AGB) in heterogeneous mountainous regions is a huge challenge but an urgent demand for resource…”
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  17. 17

    Tree species diversity impacts on ecosystem services of temperate forests by Bai, Jialing, Ren, Chunying, Shi, Xinying, Xiang, Hengxing, Zhang, Wenmin, Jiang, Hailing, Ren, Yongxing, Xi, Yanbiao, Wang, Zongming, Mao, Dehua

    Published in Ecological indicators (01-10-2024)
    “…•Temporal spectral metrics show potential for mapping of tree species diversity.•Tree species diversity positively impacts multiple ecosystem…”
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  18. 18

    Spatiotemporal Dynamics of Coastal Wetlands and Reclamation in the Yangtze Estuary During Past 50 Years (1960s–2015) by Chen, Lin, Ren, Chunying, Zhang, Bai, Li, Lin, Wang, Zongming, Song, Kaishan

    Published in Chinese geographical science (01-06-2018)
    “…Reclamation is one of the fastest-growing land use type developed in coastal areas and has caused degradation and loss of coastal wetlands as well as serious…”
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  19. 19

    Improved Object-Based Mapping of Aboveground Biomass Using Geographic Stratification with GEDI Data and Multi-Sensor Imagery by Chen, Lin, Ren, Chunying, Zhang, Bai, Wang, Zongming, Man, Weidong, Liu, Mingyue

    Published in Remote sensing (Basel, Switzerland) (01-05-2023)
    “…Aboveground biomass (AGB) mapping using spaceborne LiDAR data and multi-sensor images is essential for efficient carbon monitoring and climate change…”
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  20. 20

    Continuous Tracking of Forest Disturbance and Recovery in the Greater Khingan Mountains from Annual Landsat Imagery by Ren, Huixin, Ren, Chunying, Wang, Zongming, Jia, Mingming, Yu, Wensen, Liu, Pan, Xia, Chenzhen

    Published in Remote sensing (Basel, Switzerland) (01-11-2023)
    “…Understanding accurate and continuous forest dynamics is of key importance for forest protection and management in the Greater Khingan Mountains (GKM). There…”
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