Search Results - "Cai, Yaotong"
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Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data
Published in International journal of applied earth observation and geoinformation (01-10-2020)“…•Wetland classification is challenging, but essential.•Dense optical and SAR data help better identification of wetland vegetation types.•An object-based…”
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A novel approach towards continuous monitoring of forest change dynamics in fragmented landscapes using time series Landsat imagery
Published in International journal of applied earth observation and geoinformation (01-04-2023)“…•Accelerated forest fragmentation causes global forest carbon loss.•PFI is presented to characterize sub-pixel forest dynamics in Landsat imagery.•The CCDC-PFI…”
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Forest fragmentation trends and modes in China: Implications for conservation and restoration
Published in International journal of applied earth observation and geoinformation (01-09-2024)“…•First comprehensive study of forest fragmentation trends in China.•79 % of counties exhibit defragmentation, while 5 % are experiencing fragmentation.•29.5 %…”
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Urban Trees Expansion and Exposure Improvement in China: Insights From Satellite Observations (1985-2023)
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2024)“…Urban tree cover plays a pivotal role in bolstering the sustainability, livability, and resilience of cities. However, the changes in urban tree cover and…”
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Estimating the Urban Fractional Vegetation Cover Using an Object-Based Mixture Analysis Method and Sentinel-2 MSI Imagery
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2020)“…Accurate and efficient identification of the urban vegetation abundance is of great importance for urban planning and management. A lot of efforts have been…”
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Monitoring the Vegetation Dynamics in the Dongting Lake Wetland from 2000 to 2019 Using the BEAST Algorithm Based on Dense Landsat Time Series
Published in Applied sciences (01-06-2020)“…The dynamic monitoring and analysis of wetland vegetation play important roles in revealing the change, restoration and reconstruction of the ecosystem…”
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Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China
Published in Remote sensing (Basel, Switzerland) (01-01-2019)“…Estimating the net primary production (NPP) of vegetation is essential for eco-environment conservation and carbon cycle research. Remote sensing techniques,…”
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Accelerate spatiotemporal fusion for large-scale applications
Published in International journal of applied earth observation and geoinformation (01-05-2024)“…Spatiotemporal fusion (STF) can provide dense satellite image series with high spatial resolution. However, most spatiotemporal fusion approaches are…”
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Spatiotemporal Mapping of Surface Water Using Landsat Images and Spectral Mixture Analysis on Google Earth Engine
Published in Journal of remote sensing (01-01-2024)“…Ensuring water resource security and enhancing resilience to extreme hydrological events demand a comprehensive understanding of water dynamics across various…”
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Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2020)“…Paddy rice is a major stable food, accounting for about 20% world's food supply. And the rice paddy, an important artificial wetland type, plays an important…”
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Retraction: Zhang M. et al. Estimation of Net Primary Production Using Landsat 8 Time Series in a Heavily Urbanized Area, Central China. Remote Sensing. 2019, 11(2), 133
Published in Remote sensing (Basel, Switzerland) (27-06-2019)“…We have been made aware that the experimental data, methodological framework, and description of the corresponding sections in this article are similar to…”
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Correction: Zhang, M., et al. Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China. Remote Sens. 2019, 11, 133
Published in Remote sensing (Basel, Switzerland) (27-05-2019)“…The authors wish to make the following corrections to this paper [...]…”
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Mapping paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data
Published in Advances in space research (01-12-2019)“…Rice is one of the world’s major staple foods, especially in China. In this study, we proposed an object-based random forest (RF) method for paddy rice mapping…”
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Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data
Published in The Science of the total environment (01-08-2021)“…Probing the long-term spatiotemporal patterns of wetland vegetation changes and their response to climate change and human activities is critical to make…”
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Unveiling spatiotemporal tree cover patterns in China: The first 30 m annual tree cover mapping from 1985 to 2023
Published in ISPRS journal of photogrammetry and remote sensing (01-10-2024)“…China leads in the greening of the world, with a nearly doubled increase in its forest area since the 1980 s revealed by the National Forest Inventory (NFI)…”
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An Adaptive Stacking Regressor with A Self-Iterative Optimization Module for Improving Fractional Woody Cover Mapping
Published in IEEE geoscience and remote sensing letters (01-01-2023)“…Quantifying woody vegetation cover is essential for understanding vegetation evolution and formulating land use management policies. However, most attention…”
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MAPPING FOREST DISTURBANCE USING PURE FOREST INDEX TIME SERIES AND CCDC ALGORITHM
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (27-10-2022)“…Forest dynamics are closely related to climate change, natural disasters, and ecological diversity. The accumulated Landsat archive provides an unprecedented…”
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Journal Article Conference Proceeding -
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An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach
Published in Earth system science data (07-06-2023)“…Global land cover (GLC) information with fine spatial resolution is a fundamental data input for studies on biogeochemical cycles of the Earth system and…”
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Mapping China's Annual Tree Cover: A Holistic and Efficient Framework Integrating Satellite Imagery and Advanced Modeling
Published in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (07-07-2024)“…Comprehending large-scale tree cover dynamics is paramount for effective environmental management and policy formulation. This study introduces a comprehensive…”
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Conference Proceeding -
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CATCD: The First 30m China Annual Tree Cover Dataset from 1985 to 2023 (Part Ⅴ: 2013-2018)
Published 23-04-2024“…China Annual Tree Cover Dataset (CATCD) is the first long-term, high spatial resolution annual tree cover dataset for China, generated through the integration…”
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