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lándzsa Puskapor unokatestvér comparing global vegetation maps with the kappa statistics Vaku hozzáadni Kemény gyűrű

Remote Sensing | Free Full-Text | Automated Production of a Land Cover/Use  Map of Europe Based on Sentinel-2 Imagery
Remote Sensing | Free Full-Text | Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery

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

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

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

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

Equal e unequal map and corresponding Kappa statistics, using the... |  Download Scientific Diagram
Equal e unequal map and corresponding Kappa statistics, using the... | Download Scientific Diagram

Methods for Comparing Global Vegetation Maps
Methods for Comparing Global Vegetation Maps

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

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 | 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

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
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

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

Empirical evidence for recent global shifts in vegetation resilience |  Nature Climate Change
Empirical evidence for recent global shifts in vegetation resilience | Nature Climate Change

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

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)

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

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

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

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

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

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
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

modvegresults
modvegresults

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

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