Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Confusion matrix for land cover classification of 2019 training data using Landsat imagery.

Domaine:

geospatial

Type de record:

datasetsoftware
Créateur:
KelGleVerJas
Hôte:avatar

This dataset is from a master's thesis titled: Repeatable methods of classification in the Montane grasslands (2024). The dataset includes two data entries which produce Figure 3.3 as part of the master's thesis.

Firstly, the Excel spreadsheet contains a table representing the number of sites for that class that were correctly classified as that class as well as off-diagonal elements representing the misclassification between different land cover classes. Secondly, the r script formats, compiles and runs the Excel spreadsheet data and code to produce the confusion matrix.

Period of data collection: February 2020.

Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.



Visit

figshare.com

Tasks

computer visionimage classification

Tags

Forestry management and environmentTerrestrial ecologyBiosecurity science and invasive species ecologySpatial data and applicationsSpatial statisticsconfusion matrixLand cover classificationtraining datasatellite imagery classificationsLandsat data

Licenses

CC BY 4.0

Similaires

Confusion matrix for land cover classification of a single-date composite Sentinel-2 image.land cover classification of northern ghana using optical and radar imageryA multi-tier higher order Conditional Random Field for land cover classification of multi-temporal multi-spectral Landsat imageryMapping Land Use and Land Cover Change Detection Using Supervised Maximum Likelihood Classification of Multi-Temporal Landsat Imagery: A Case Study of Nakuru CountyAssessing the Land Cover Change of Accra Using Landsat-TM DataLand Cover/Use Classification Using Optical and Quad Polarization Radar Imagery

Confusion matrix for land cover classification of a single-date composite Sentinel-2 image.

This dataset is from a master's thesis titled: Repeatable methods of classification in

land cover classification of northern ghana using optical and radar imagery

A multi-tier higher order Conditional Random Field for land cover classification of multi-temporal multi-spectral Landsat imagery

In this paper we present a 2-tier higher order Conditional Random Field which is used for land cove

Mapping Land Use and Land Cover Change Detection Using Supervised Maximum Likelihood Classification of Multi-Temporal Landsat Imagery: A Case Study of Nakuru County

Monitoring land use and land cover (LULC) change is crucial for analyzing the socio-economi

Assessing the Land Cover Change of Accra Using Landsat-TM Data

Land Cover/Use Classification Using Optical and Quad Polarization Radar Imagery

With the recent increase in the availability of quad polarization (Horizontal-Horizontal, Horizontal