Change detection techniques for remote sensing applications: A survey
A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
Analysis on change detection techniques for remote sensing applications: A review
Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
temporal changes that have occurred naturally or manmade. Real-time prediction of change …
Google Earth Engine applications since inception: Usage, trends, and potential
The Google Earth Engine (GEE) portal provides enhanced opportunities for undertaking
earth observation studies. Established towards the end of 2010, it provides access to …
earth observation studies. Established towards the end of 2010, it provides access to …
Annual large-scale urban land map** based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River …
Long time series (eg 30 years) urban land observations from remote sensing images are
important for urban growth modeling as well as for the goal of sustainable urban …
important for urban growth modeling as well as for the goal of sustainable urban …
Appraisal of kappa-based metrics and disagreement indices of accuracy assessment for parametric and nonparametric techniques used in LULC classification and …
In the face of rapid urbanization, monitoring urban expansion has gained importance to
sustainably manage the land resources and minimize the impact on the environment …
sustainably manage the land resources and minimize the impact on the environment …
[HTML][HTML] Develo** an intelligent cloud attention network to support global urban green spaces map**
Y Chen, Q Weng, L Tang, L Wang, H ** of human settlement extent from Sentinel-2 images via fully convolutional neural networks
Human settlement extent (HSE) information is a valuable indicator of world-wide
urbanization as well as the resulting human pressure on the natural environment. Therefore …
urbanization as well as the resulting human pressure on the natural environment. Therefore …
Detailed urban land use land cover classification at the metropolitan scale using a three-layer classification scheme
Urban Land Use/Land Cover (LULC) information is essential for urban and environmental
management. It is, however, very difficult to automatically extract detailed urban LULC …
management. It is, however, very difficult to automatically extract detailed urban LULC …