Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Creator:
LasPou
Publisher:
Inf
Host:

Visit

doi.org

Languages

Ga

Similar

Land Use/Land Cover (LULC) Using Landsat Data Series (MSS, TM, ETM+ and OLI) in Azrou Forest, in the Central Middle Atlas of MoroccoAssessing land cover change in Kenya's Mau Forest region using remotely sensed dataMAPPING LAND COVER CHANGE IN SPATIAL PATTERNS OF SEMI-ARID REGION ACROSS WEST KORDOFAN, SUDAN USING LANDSAT DATAConfusion matrix for land cover classification of 2019 training data using Landsat imagery.An automated classification and change detection system for rapid update of land-cover maps of South Africa using Landsat data.Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

Land Use/Land Cover (LULC) Using Landsat Data Series (MSS, TM, ETM+ and OLI) in Azrou Forest, in the Central Middle Atlas of Morocco

The study of land use/land cover (LULC) has become an increasingly important stage in the developmen

Assessing land cover change in Kenya's Mau Forest region using remotely sensed data

Summary Kenya's Rift Valley has been undergoing rapid land cover change for the past two decades, w

MAPPING LAND COVER CHANGE IN SPATIAL PATTERNS OF SEMI-ARID REGION ACROSS WEST KORDOFAN, SUDAN USING LANDSAT DATA

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

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

An automated classification and change detection system for rapid update of land-cover maps of South Africa using Landsat data.

Recent land cover maps are essential to spatial planning and assessment by non-/governmental agencie

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

This dataset contains continental (Africa) land cover and impervious surface changes o