The fuzzy similarity map and corresponding Fuzzy Kappa statistic, using... | Download Scientific Diagram
GMD - Predicting global terrestrial biomes with the LeNet convolutional neural network
Implications of the 2019–2020 megafires for the biogeography and conservation of Australian vegetation | Nature Communications
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
Mapcurves: a quantitative method for comparing categorical maps | SpringerLink
ESSD - An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach
![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]
Comparing global vegetation maps with the Kappa statistic
Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach - ScienceDirect
Empirical evidence for recent global shifts in vegetation resilience | Nature Climate Change
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
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
Comparison of Chinese potential natural vegetation from two different... | Download Scientific Diagram
Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects | Journal of Remote Sensing
Methods for Comparing Global Vegetation Maps
An updated Vegetation Map of China (1:1000000) - ScienceDirect
Improvement of Countrywide Vegetation Mapping over Japan and Comparison to Existing Maps
Frontiers | Local-scale mapping of tree species in a lower mountain area using Sentinel-1 and -2 multitemporal images, vegetation indices, and topographic information
Map similarity between simulated and observed maps - a. Absolute: Kappa... | Download Scientific Diagram
PDF) Assessment of map similarity of categorical maps using Kappa statistics | Marco Painho and Sandra Caeiro - Academia.edu
Remote Sensing | Free Full-Text | Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
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 areas of low human impact ('Low Impact Areas') and fragmentation of the natural world | Scientific Reports
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)
