Chapter Eight Advances in Remote Sensing for Biodiversity: Theory, Methods, Applications, and Validation 1Salami, K. D., 2Falade, L. O. and 2Soba, T. M. 1,2Department of Forestry and Wildlife Management, Federal University Dutse, Jigawa State, Nigeria 2Department of Forestry, Wildlife and Ecotourism, Shabu-Lafia Campus, Nasarawa State University, Nigeria Corresponding Author’s email: foristsalam@yahoo.com
In conclusion, remote sensing, AI, and multi-sensor fusion have significantly advanced tropical forest carbon monitoring, biodiversity assessment, and disturbance detection. However, their application in West […]