Analysis of Forest Vegetal Characteristics of Akure Forest Reserve from Optical Imageries and Unmanned Aerial Vehicle Data

Isaac Adelakun Gbiri, Isaac Arome Idoko, Michael Oketunde Okegbola and Latifat Olaide Oyelakin
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Isaac Adelakun Gbiri: Geographic Information Systems (GIS) Department Federal School of Surveying, P. M. B. 1024, Oyo State, Nigeria
Isaac Arome Idoko: Survey and Geoinformatics Department Federal School of Surveying, P. M. B. 1024, Oyo State, Nigeria
Michael Oketunde Okegbola: Survey and Geoinformatics Department Federal School of Surveying, P. M. B. 1024, Oyo State, Nigeria
Latifat Olaide Oyelakin: Survey and Geoinformatics Department Federal School of Surveying, P. M. B. 1024, Oyo State, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 6, 57-61

Abstract: Forest vegetal characteristics monitoring has a long tradition records with a success rate ranging from low to medium or high depends on the application at the hands. Details information about the indication of association of phenomena as forest indicators, such forest gap, estate and forest status, provides high spatial resolution images. The aim of this study focuses on combining unmanned Aerial Vehicles (UAVs) and satellite multispectral imaging along side by side to details forest parameter during the seasons. UAVs image at 0.15m appeared more detailed of having features such as rock, road, bare ground, riparian trees among others than that of Landsat OLI image, though the features such as rock, road, bare ground, and riparian forest were also seen on the image but it was poorly seen due to the coarse spatial resolution of 30 m. The 3-Dimensional of UAVs, relief pattern and contour from Shuttle Radar Topography Mission was also compared and this study further demonstrated on the advantages of Unmanned Aerial Vehicle data over established remotely sensed data which includes flying blow the cloud, high spatial resolution, flexibility, inexpensive of data acquisition, time effective, using video footage to detect human activities such as tree flora, burning and logging.

Keywords: Forest Vegetal Characteristics; Monitoring; Unmanned Aerial Vehicles (UAVs); Satellite Multispectral (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:6:id:61340

DOI: 10.24018/ejeng.2019.4.6.1340

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