[HTML][HTML] Assessing changes in mangrove forest cover and carbon stocks in the Lower Mekong Region using Google Earth Engine

M Bajaj, N Sasaki, TW Tsusaka, M Venkatappa… - Innovation and Green …, 2024 - Elsevier
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 …

Machine learning algorithms for satellite image classification using Google Earth Engine and Landsat satellite data: Morocco case study

H Ouchra, A Belangour, A Erraissi - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Land cover changes in grassland landscapes: Combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth …

C Parracciani, D Gigante, O Mutanga… - GIScience & Remote …, 2024 - Taylor & Francis
Understanding grassland habitat dynamics in space and time is crucial for evaluating the
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 …

Application of Google earth engine python API and NAIP imagery for land use and land cover classification: A case study in Florida, USA

R Prasai, TW Schwertner, K Mainali, H Mathewson… - Ecological …, 2021 - Elsevier
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 …

Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors

E Guirado, J Blanco-Sacristan, E Rodriguez-Caballero… - Sensors, 2021 - mdpi.com
Vegetation generally appears scattered in drylands. Its structure, composition and spatial
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 …

Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during …

S Pouya, M Aghlmand - Environmental monitoring and assessment, 2022 - Springer
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 …

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 …

[HTML][HTML] Mangrove forest cover and phenology with Landsat dense time series in Central Queensland, Australia

DA Chamberlain, SR Phinn, HP Possingham - Remote Sensing, 2021 - mdpi.com
Wetlands are one of the most biologically productive ecosystems. Wetland ecosystem
services, ranging from provision of food security to climate change mitigation, are enormous …