Improving the Accuracy of RPA Image Classification in Vegetation Mapping of Magsaysay, Occidental Mindoro using RGB Indices, Canopy Heights, and Feature Importance Weighting

Autor: F. A. Soriano, J. A. Palma, A. K. B. Esmeralda, J. C. F. Aceron, J. H. B. Tabuzo, T. C. Bacolcol

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-5-2024, Pp 181-188 (2024)

Mapping vegetation cover is an important step in generating baseline data for various purposes such as smart agriculture, disaster and hazard monitoring, as well as risk assessment and planning. For this purpose, the use of Remotely Piloted Aircraft

Externí odkaz: https://doaj.org/article/426803f81ca34da0917061a3c7f271eb