[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing
Y Wang, Y Sun, X Cao, Y Wang, W Zhang… - ISPRS Journal of …, 2023 - Elsevier
Abstract Land Use and Land Cover (LULC) mapping products are essential for various
environmental studies, including ecological environmental assessments, resource …
environmental studies, including ecological environmental assessments, resource …
GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …
still lack a global land-cover map with a fine classification system and spatial resolution …
Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
Stable classification with limited sample: transferring a 30-m resolution sample set collected in
2015 to mapping 10-m resolution global land cover in 2017 Stable classification with limited …
2015 to mapping 10-m resolution global land cover in 2017 Stable classification with limited …
Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
D Sulla-Menashe, JM Gray, SP Abercrombie… - Remote sensing of …, 2019 - Elsevier
Land cover and land use maps provide an important basis for characterizing the ecological
state and biophysical properties of Earth's land areas. The Collection 5 MODIS Global Land …
state and biophysical properties of Earth's land areas. The Collection 5 MODIS Global Land …
[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …
Mapping high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis
Peatlands play important ecological, economic and cultural roles in human well-being.
Although considered sensitive to climate change and anthropogenic pressures, the spatial …
Although considered sensitive to climate change and anthropogenic pressures, the spatial …
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
J Xiong, PS Thenkabail, MK Gumma… - ISPRS Journal of …, 2017 - Elsevier
The automation of agricultural mapping using satellite-derived remotely sensed data
remains a challenge in Africa because of the heterogeneous and fragmental landscape …
remains a challenge in Africa because of the heterogeneous and fragmental landscape …
Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
New remote sensing sensors will acquire High spectral, spatial and temporal Resolution
Satellite Image Time Series (HR-SITS). These new data are of great interest to map land …
Satellite Image Time Series (HR-SITS). These new data are of great interest to map land …
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
Land cover is the physical material at the surface of the Earth. As the cause and result of
global environmental change, land cover change (LCC) influences the global energy …
global environmental change, land cover change (LCC) influences the global energy …