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[HTML][HTML] Assessing changes in mangrove forest cover and carbon stocks in the Lower Mekong Region using Google Earth Engine
Abstract The Lower Mekong Region (LMR) faces significant loss of mangrove forests, yet
limited studies have explored this decline in the region. Here, we employ Google Earth …
limited studies have explored this decline in the region. Here, we employ Google Earth …
Machine learning algorithms for satellite image classification using Google Earth Engine and Landsat satellite data: Morocco case study
Earth observation data have proven to be a valuable resource of quantitative information
that is more consistent in time and space than traditional land-based surveys. Remote …
that is more consistent in time and space than traditional land-based surveys. Remote …
Land cover changes in grassland landscapes: Combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth …
Understanding grassland habitat dynamics in space and time is crucial for evaluating the
effectiveness of protection measures and develo** sustainable management practices …
effectiveness of protection measures and develo** sustainable management practices …
A classification of tidal flat wetland vegetation combining phenological features with Google Earth Engine
N Wu, R Shi, W Zhuo, C Zhang, B Zhou, Z **a, Z Tao… - Remote Sensing, 2021 - mdpi.com
The composition and distribution of wetland vegetation is critical for ecosystem diversity and
sustainable development. However, tidal flat wetland environments are complex, and …
sustainable development. However, tidal flat wetland environments are complex, and …
Application of Google earth engine python API and NAIP imagery for land use and land cover classification: A case study in Florida, USA
The analysis of land use and land cover data provides invaluable support to a variety of land
management and conservation activities. However, historically its application has been …
management and conservation activities. However, historically its application has been …
Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors
Vegetation generally appears scattered in drylands. Its structure, composition and spatial
patterns are key controls of biotic interactions, water, and nutrient cycles. Applying …
patterns are key controls of biotic interactions, water, and nutrient cycles. Applying …
[HTML][HTML] Recording urban land dynamic and its effects during 2000–2019 at 15-m resolution by cloud computing with Landsat series
Y Dong, Z Ren, Y Fu, Z Miao, R Yang, Y Sun, X He - Remote Sensing, 2020 - mdpi.com
Cities, the core of the global climate change and economic development, are high impact
land cover land use change (LCLUC) hotspots. Comprehensive records of land cover land …
land cover land use change (LCLUC) hotspots. Comprehensive records of land cover land …
Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during …
A recently conducted study by the Centers for Disease Control and Prevention encouraged
access to urban green space for the public over the prevalence of COVID-19 in that …
access to urban green space for the public over the prevalence of COVID-19 in that …
Object-based change detection for vegetation disturbance and recovery using Landsat time series
Z Wang, C Wei, X Liu, L Zhu, Q Yang… - GIScience & Remote …, 2022 - Taylor & Francis
Accurate characterization of historical trends in vegetation change at the landscape scale is
necessary for resource management and ecological assessment. Vegetation disturbance …
necessary for resource management and ecological assessment. Vegetation disturbance …
[HTML][HTML] Mangrove forest cover and phenology with Landsat dense time series in Central Queensland, Australia
Wetlands are one of the most biologically productive ecosystems. Wetland ecosystem
services, ranging from provision of food security to climate change mitigation, are enormous …
services, ranging from provision of food security to climate change mitigation, are enormous …