[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review

C Gómez, JC White, MA Wulder - ISPRS Journal of photogrammetry and …, 2016 - Elsevier
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 …

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 …

GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery

X Zhang, L Liu, X Chen, Y Gao… - Earth System Science …, 2020 - essd.copernicus.org
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 …

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

P Gong, H Liu, M Zhang, C Li, J Wang… - Science …, 2019 - pubmed.ncbi.nlm.nih.gov
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 …

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 …

[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 …

P Teluguntla, PS Thenkabail, A Oliphant… - ISPRS journal of …, 2018 - Elsevier
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 …

PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis

J Xu, PJ Morris, J Liu, J Holden - Catena, 2018 - Elsevier
Peatlands play important ecological, economic and cultural roles in human well-being.
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 …

Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

C Pelletier, S Valero, J Inglada, N Champion… - Remote Sensing of …, 2016 - Elsevier
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 …

Annual dynamics of global land cover and its long-term changes from 1982 to 2015

H Liu, P Gong, J Wang, N Clinton… - Earth System Science …, 2020 - essd.copernicus.org
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 …