Logo Lanfrica

Bamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery

Type de record:

dataset
Créateur:
YuaDuoDurDan
Éditeur:
Elsevier BV
Hôte:

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-license

Similaires

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

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

Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis

The Central Region of Mozambique (Sofala Province) bordering on the active cyclone area of the south

Bush encroachment monitoring using multi-temporal Landsat data and random forests

Abstract. It is widely accepted that land degradation and desertification (LDD) are serious global t

Use of Landsat multi-temporal imagery to assess secondary growth Miombo woodlands in Luanshya, Zambia

Miombo woodlands are the most extensive natural forest type in subtropical Africa, supporting the li

Land use land cover change detection using multi-temporal Landsat imagery in the North of Congo Republic: a case study in Sangha region

In recent years, satellite data have become available for free to the remote sensing community. Land