Demystifying LandTrendr and CCDC temporal segmentation
Improved access to remotely sensed imagery and time series algorithms in combination with
increased availability of cloud computing resources and platforms such as Google Earth …
increased availability of cloud computing resources and platforms such as Google Earth …
[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis
P Pérez-Cutillas, A Pérez-Navarro… - … Society and environment, 2023 - Elsevier
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …
information applications in the 'cloud'. This platform provides free access to huge volumes of …
Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis
Current estimates of forest degradation are associated with large uncertainties. However,
recent advancements in the availability of remote sensing data (eg, the free data policies of …
recent advancements in the availability of remote sensing data (eg, the free data policies of …
Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series
Coastal tidal wetlands are highly altered ecosystems exposed to substantial risk due to
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …
widespread and frequent land-use change coupled with sea-level rise, leading to disrupted …
Time series analysis for global land cover change monitoring: A comparison across sensors
Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …
monitoring is necessary to assess their potential and limitations for more accurate and …
Integrating GEDI and Landsat: Spaceborne lidar and four decades of optical imagery for the analysis of forest disturbances and biomass changes in Italy
Forests play a prominent role in the battle against climate change, as they absorb a relevant
part of human carbon emissions. However, precisely because of climate change, forest …
part of human carbon emissions. However, precisely because of climate change, forest …
Satellite image time series analysis for big earth observation data
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …
challenges. Designers need to balance between conflicting factors. Solutions that are …
Monitoring shifting cultivation in Laos with Landsat time series
Shifting cultivation is an agricultural practice in which plots of land are cultivated temporarily,
then abandoned, and vegetation is allowed to regenerate during fallow periods. Shifting …
then abandoned, and vegetation is allowed to regenerate during fallow periods. Shifting …
Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat
Land cover maps are essential for characterizing the biophysical properties of the Earth's
land areas. Because land cover information synthesizes a rich array of information related to …
land areas. Because land cover information synthesizes a rich array of information related to …
Detecting subpixel human settlements in mountains using deep learning: A case of the Hindu Kush Himalaya 1990–2020
The majority of future population growth in mountains will occur in small-and medium-sized
cities and towns and affect vulnerable ecosystems. However, mountain settlements are often …
cities and towns and affect vulnerable ecosystems. However, mountain settlements are often …