Full article: Comparison of a Sentinel-2 land cover map obtained through multi-temporal analysis with the official forest cartography. the case of Galicia (Spain)
Comparison of land cover maps: (A) Land cover map derived from Landsat... | Download Scientific Diagram
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An updated Vegetation Map of China (1:1000000) - ScienceDirect
Remote Sensing | Free Full-Text | ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine
Accuracy assessment of land cover products in China from 2000 to 2020 | Scientific Reports
Remote Sensing | Free Full-Text | Advancing High-Resolution Land Cover Mapping in Colombia: The Importance of a Locally Appropriate Legend
Map similarity between simulated and observed maps - a. Absolute: Kappa... | Download Scientific Diagram
IJGI | Free Full-Text | A Comparison of Machine Learning Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa
Sensors | Free Full-Text | Comparing Different Approaches for Mapping Urban Vegetation Cover from Landsat ETM+ Data: A Case Study on Brussels
Comparison of Chinese potential natural vegetation from two different... | Download Scientific Diagram
Global humid tropics forest structural condition and forest structural integrity maps | Scientific Data
The fuzzy similarity map and corresponding Fuzzy Kappa statistic, using... | Download Scientific Diagram
Remote Sensing | Free Full-Text | Vegetation Fuel Mapping at Regional Scale Using Sentinel-1, Sentinel-2, and DEM Derivatives—The Case of the Region of East Macedonia and Thrace, Greece
Comparing global vegetation maps with the Kappa statistic
Global areas of low human impact ('Low Impact Areas') and fragmentation of the natural world | Scientific Reports
Map of global vegetation dynamics for 1982-2012. Data were obtained... | Download Scientific Diagram
ESSD - An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach
A high‐resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring - Metzger - 2013 - Global Ecology and Biogeography - Wiley Online Library
![Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2018/5457/1/fig-6-full.png "Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential [PeerJ]")
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential [PeerJ]
Remote Sensing | Free Full-Text | Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France
Global vegetation biome map with eight classes based on the MODIS IGBP... | Download Scientific Diagram
PDF) Assessment of map similarity of categorical maps using Kappa statistics | Marco Painho and Sandra Caeiro - Academia.edu
Empirical evidence for recent global shifts in vegetation resilience | Nature Climate Change
