Abstract
ABSTRACT This research used the Sentinel-1 and Sentinel-2 data to map forest canopy cover. The main aim of this study is to assess the capability and value of SAR and Optical image data for mapping, estimating, and monitoring forest canopy cover and its parameters in the Ngel Nyaki Forest Reserve in the Mambilla Plateau, Taraba State, Nigeria. The spatial distribution pattern of forest vegetation cover between 2015 and 2021 was analyzed using a random forest model with Sentinel-1 and maximum likelihood for Sentinel-2 data and the relationship between the biophysical parameter Leaf-Area-Index (LAI) and the spectral indices. The results show changes in canopy cover derived from Sentinel-1 and Sentinel-2 with varying canopy cover frequencies, indicating a decrease from 34% to 27% and 32% to 25% from 2015 to 2021, respectively. The basal area per acre (BA/ac) ranges from 30 to 170 square feet/acre, with a mean of 62.82 square feet/acre and a standard deviation of 37.77 square feet/acre. Moreover, the analysis of biophysical parameters shows that the LAI for the entire forest area was 3.88 in 2015, indicating a relatively dense canopy with substantial leaf cover, while the LAI value of 3.82 in 2021 suggests a slight decrease in leaf area density.
Published Version
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