Year: 2025
Type: article
Abstract: Land Use Land Cover (LULC) maps play an important role in land cover change assessment. In this study existing LULC maps of 2006 and 2015 were used to develop a standardized LULC classification procedure for continuous mapping and land management. The same procedure was used to produce 2023 LULC map for the study area. Landsat 8, Sentinel-1, and Sentinel-2 were used in combination with a Random Forest algorithm to assess the potential of multi-sensor Earth observations in mapping savanna ecological zones in the Google Earth Engine (GEE). The classification results yielded an overall accuracy of 73.32% and kappa coefficient of 0.6342 when integrating Landsat 8 and Sentinel-2 data. In addition, an overall accuracy of 80.21% and kappa coefficient of 0.7225 were obtained for the combined Landsat 8, Sentinel-2, and Sentinel-1 data. The results demonstrated that using Sentinel-1 data in addition to multispectral data improved the classification accuracy by almost 7%.
Source: Geocarto International
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
SDG: Life on land
Open Access status: gold
Estimated APC paid: $2,390
Award: G3355175939
OpenAlex ID: W4414612981