[HTML][HTML] Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland

X Long, H Lin, X An, S Chen, S Qi, M Zhang - Ecological Indicators, 2022 - Elsevier
Wetland vegetation has experienced significant loss and degradation over the last few
decades. Although volumes of studies involve wetlands, limited attention has been paid to …

[HTML][HTML] Mapping the vegetation distribution and dynamics of a wetland using adaptive-stacking and Google Earth Engine based on multi-source remote sensing data

X Long, X Li, H Lin, M Zhang - … Journal of Applied Earth Observation and …, 2021 - Elsevier
Wetland vegetation is susceptible to climate change and human disturbance, and has
experienced significant losses and degradation. However, the spatial patterns of dynamics …

[HTML][HTML] Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

M Liu, B Fu, S Xie, H He, F Lan, Y Li, P Lou, D Fan - Ecological Indicators, 2021 - Elsevier
The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …

Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data

M Zhang, H Lin, X Long, Y Cai - Science of the Total Environment, 2021 - Elsevier
Probing the long-term spatiotemporal patterns of wetland vegetation changes and their
response to climate change and human activities is critical to make informed decisions …

[HTML][HTML] Characterizing ecosystem change in wetlands using dense earth observation time series

GM Kovács, S Horion, R Fensholt - Remote Sensing of Environment, 2022 - Elsevier
Wetlands in drylands are vulnerable to degradation and disappearance due to the
combined effects of increasing anthropogenic disturbances and climatic extremes. Such …

[HTML][HTML] Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial …

B Fu, M Liu, H He, F Lan, X He, L Liu, L Huang… - International Journal of …, 2021 - Elsevier
Karst wetlands have the characteristics of small scale and poor stability. At present, the
wetland is being severely damaged and its area is seriously degraded, and the accurate …

cuFSDAF: An enhanced flexible spatiotemporal data fusion algorithm parallelized using graphics processing units

H Gao, X Zhu, Q Guan, X Yang, Y Yao… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Spatiotemporal data fusion is a cost-effective way to produce remote sensing images with
high spatial and temporal resolutions using multisource images. Using spectral unmixing …

Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine

T Hu, EM Toman, G Chen, G Shao, Y Zhou, Y Li… - ISPRS Journal of …, 2021 - Elsevier
Large fractions of human-altered lands are working landscapes where people and nature
interact to balance social, economic, and ecological needs. Achieving these sustainability …

The impacts of disturbances on mountain ecosystem services: Insights from BEAST and Bayesian network

R Lyu, J Pang, J Zhang, J Zhang - Applied Geography, 2024 - Elsevier
Disturbances, such as wildfire, insect outbreak, wind throw and building construction, can
significantly alter ecological processes and impact the supply of mountain ecosystem …

[HTML][HTML] A novel approach towards continuous monitoring of forest change dynamics in fragmented landscapes using time series Landsat imagery

Y Cai, Q Shi, X Xu, X Liu - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Carbon emissions from forest ecosystems are greatly impacted by the acceleration of
fragmentation and edge effects. Understanding these effects requires accurate monitoring of …