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Dió Pólus Habitat comparing global vegetation maps with the kappa statistics könyvvizsgálat vaj numerikus

Improvement of Countrywide Vegetation Mapping over Japan and Comparison to  Existing Maps
Improvement of Countrywide Vegetation Mapping over Japan and Comparison to Existing Maps

An updated Vegetation Map of China (1:1000000) - ScienceDirect
An updated Vegetation Map of China (1:1000000) - ScienceDirect

Mapcurves: a quantitative method for comparing categorical maps |  SpringerLink
Mapcurves: a quantitative method for comparing categorical maps | SpringerLink

modvegresults
modvegresults

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
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

Comparison of Chinese potential natural vegetation from two different... |  Download Scientific Diagram
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
Global humid tropics forest structural condition and forest structural integrity maps | Scientific Data

Map of global vegetation dynamics for 1982-2012. Data were obtained... |  Download Scientific Diagram
Map of global vegetation dynamics for 1982-2012. Data were obtained... | Download Scientific Diagram

Comparison of land cover maps: (A) Land cover map derived from Landsat... |  Download Scientific Diagram
Comparison of land cover maps: (A) Land cover map derived from Landsat... | Download Scientific Diagram

PDF) Assessment of map similarity of categorical maps using Kappa statistics  | Marco Painho and Sandra Caeiro - Academia.edu
PDF) Assessment of map similarity of categorical maps using Kappa statistics | Marco Painho and Sandra Caeiro - Academia.edu

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]

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

Download Scientific Diagram
Download Scientific Diagram

Remote Sensing | Free Full-Text | Advancing High-Resolution Land Cover  Mapping in Colombia: The Importance of a Locally Appropriate Legend
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
Map similarity between simulated and observed maps - a. Absolute: Kappa... | Download Scientific Diagram

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
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
Frontiers | Local-scale mapping of tree species in a lower mountain area using Sentinel-1 and -2 multitemporal images, vegetation indices, and topographic information

Potential vegetation of China (from the Vegetation Map of China [37]). |  Download Scientific Diagram
Potential vegetation of China (from the Vegetation Map of China [37]). | 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
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

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)
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)

Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of  Bangladesh: A GIS and remote sensing based approach - ScienceDirect
Multi-decadal land cover change analysis over Sundarbans Mangrove Forest of Bangladesh: A GIS and remote sensing based approach - ScienceDirect

Sensors | Free Full-Text | Comparing Different Approaches for Mapping Urban  Vegetation Cover from Landsat ETM+ Data: A Case Study on Brussels
Sensors | Free Full-Text | Comparing Different Approaches for Mapping Urban Vegetation Cover from Landsat ETM+ Data: A Case Study on Brussels

Implications of the 2019–2020 megafires for the biogeography and  conservation of Australian vegetation | Nature Communications
Implications of the 2019–2020 megafires for the biogeography and conservation of Australian vegetation | Nature Communications

Accuracy assessment of land cover products in China from 2000 to 2020 |  Scientific Reports
Accuracy assessment of land cover products in China from 2000 to 2020 | Scientific Reports

Finer-Resolution Mapping of Global Land Cover: Recent Developments,  Consistency Analysis, and Prospects | Journal of Remote Sensing
Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects | Journal of Remote Sensing

GMD - Predicting global terrestrial biomes with the LeNet convolutional  neural network
GMD - Predicting global terrestrial biomes with the LeNet convolutional neural network