A systematic review of landsat data for change detection applications: 50 years of monitoring the earth
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …
systematic monitoring of the Earth's surface, enabled by an extensive and free …
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Z Zhu - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
The free and open access to all archived Landsat images in 2008 has completely changed
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …
to political. Accurate information about land cover affects the accuracy of all subsequent …
[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover map**
Many applications that target dynamic land surface processes require a temporal
observation frequency that is not easily satisfied using data from a single optical sensor …
observation frequency that is not easily satisfied using data from a single optical sensor …
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
B Chen, X ** and monitoring
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …
efforts towards accurately determining land use and quantifying subtle changes in land use …
Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning
In recent years, the world witnessed many devastating wildfires that resulted in destructive
human and environmental impacts across the globe. Emergency response and rapid …
human and environmental impacts across the globe. Emergency response and rapid …
Canopy and terrain height retrievals with ICESat-2: A first look
NASA's Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) launched in fall 2018 and has
since collected continuous elevation data over the Earth's surface. The primary scientific …
since collected continuous elevation data over the Earth's surface. The primary scientific …
Monthly map** of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
Compared with disturbance maps produced at annual or multi-year time steps, monthly
map** of forest harvesting can provide more temporal details needed for studying the …
map** of forest harvesting can provide more temporal details needed for studying the …
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
Combining observations from multiple optical and synthetic aperture radar (SAR) satellites
can provide temporally dense and regular information at medium resolution scale …
can provide temporally dense and regular information at medium resolution scale …