Geospatial Monitoring of Community Forest Dynamics Using Multi-Temporal Landsat Data: A Random Forest Approach in Cross River State, Nigeria

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

Mapping the Dabus Wetlands, Ethiopia, Using Random Forest Classification of Landsat, PALSAR and Topographic Data

The Dabus Wetland complex in the highlands of Ethiopia is within the headwaters of the Nile Basin an

Indigenous Forest Management Practices and localized conflict in forest dependent communities in Central Cross River State, Nigeria

This study, "Indigenous Forest Management Practices and Localized Conflict in Forest-Dependent Commu

Towards Food Security: the Prediction of Climatic Factors in Nigeria using Random Forest Approach

With the explosive growth in the world’s population which has little or no corresponding rise in the

Woody vegetation cover monitoring with multi-temporal Landsat data and Random Forests: the case of the Northwest Province (South Africa)

Land degradation and desertification (LDD) are serious global threats to humans and the environment.

An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa