Change Detection with Google Earth Engine Imagery. Contribute to mortcanty/earthengine development by creating an account on GitHub.
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in NewfoundlandChange detectionWetlandsremote sensingtime series analysisgeo big dataCanadaWetlands across Canada have been, and continue to be, lost or altered under the influence of ...
M. Landscape change detected over a half century in the Arctic National Wildlife Refuge using high-resolution aerial imagery. Remote Sens. 10, 1305 (2018). Google Scholar Hobbie, J. E. et al. Ecosystem responses to climate change at a Low Arctic and a High Arctic long-term research site...
Depending on the satellite imagery data used for the analysis, 18.1–30.1 million km2 (12.2–20.2%) of the Earth’s landmass, are currently defined as grasslands under the land cover classification guidelines set within the UN System of Environmental-Economic Accounting Central Framework15 (Fig. 1...
Doshi, J.; Lucas, K.; Choset, H.; Gaston, M. Creating xBD: A dataset for assessing building damage from satellite imagery. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Long Beach, CA, USA, 16–20 June 2019; pp. 10–17. [Google Scholar] ...
The satellite data were supported by Google Earth and information gathered from informal discussions from local elderly people who are knowledgeable aboutthe area. The results over the last 45 years show that the major LULC changes in the study watershed have been the expansion of cultivated, ...
The suitability of satellite imagery for glacier mapping depends on cloud cover, the date of acquisition, the presence of seasonal snow, and illumination geometry at the time of acquisition (solar elevation and azimuth). We utilized data from five satellites sensors: Landsat 2 Multispectral Scanner ...
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery. Earth Syst. Sci. Data 2021, 13, 2753–2776. [Google Scholar] [CrossRef] Ronneberger, O.; Fischer, P.; Brox, T. U-net: Convolutional networks for biomedical image segmentation...
An unprecedented magnitude of land-use/land-cover changes have led to a rapid conversion of tropical forested landscapes to different land-uses. This comparative study evaluates and reconstructs the recent history (1976–2019) of land-use change and the
I want to draw on a more recent examplethat seems symptomatic of the shift from static representations of space; viaanimated maps through to navigational geomedia. My exemplary theoreticalobject of choice here is the integration of Google Earth imagery in a Hollywoodblockbuster, as illustrated in ...