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
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
Accuracy assessment of land cover products in China from 2000 to 2020 | Scientific Reports
Comparing global vegetation maps with the Kappa statistic
Comparison of land cover maps: (A) Land cover map derived from Landsat... | Download Scientific Diagram
Equal e unequal map and corresponding Kappa statistics, using the... | Download Scientific Diagram
Remote Sensing | Free Full-Text | Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China
Download Scientific Diagram
An updated Vegetation Map of China (1:1000000) - ScienceDirect
Global humid tropics forest structural condition and forest structural integrity maps | Scientific Data
Sensors | Free Full-Text | Comparing Different Approaches for Mapping Urban Vegetation Cover from Landsat ETM+ Data: A Case Study on Brussels
Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach - ScienceDirect
ESSD - An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach
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]
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
Frontiers | Local-scale mapping of tree species in a lower mountain area using Sentinel-1 and -2 multitemporal images, vegetation indices, and topographic information
GMD - Predicting global terrestrial biomes with the LeNet convolutional neural network
Global vegetation biome map with eight classes based on the MODIS IGBP... | Download Scientific Diagram
Improvement of Countrywide Vegetation Mapping over Japan and Comparison to Existing Maps
The Potential of Fuzzy Logic for Quantitative Land Cover Change Analysis Basing on Historical Topographic Maps – topic of research paper in Earth and related environmental sciences. Download scholarly article PDF and
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)
An updated Vegetation Map of China (1:1000000) - ScienceDirect
The fuzzy similarity map and corresponding Fuzzy Kappa statistic, using... | Download Scientific Diagram
