Natural Resource Mapping Using Landsat and Lidar towards Identifying Digital Elevation, Digital Surface and Canopy Height Models

Firoz Ahmad, Laxmi Goparaju and Abdul Qayum
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Laxmi Goparaju: Vindhyan Ecology and Natural History Foundation, Mirzapur, India
Abdul Qayum: Department of Environment and Forest, Government of Arunachal Pradesh, India

International Journal of Environmental Sciences & Natural Resources, 2017, vol. 2, issue 1, 30-37

Abstract: The evaluation of the natural resource plays a decisive role in management and sustainable developmental planning. The study aims to generate natural resource based maps of rural areas of the USA using remote sensing datasets such as Landsat and LiDAR to analyze generated natural resources for developing digital elevation (DEM) and canopy height models (CHMs). Natural resource maps were generated using Landsat image of the year 2010. The area statistics reveal that the tree class percent (23.21 %) was the second highest after fallow land class (60.44 %) whereas shrubs and grass/agriculture was 6.59 % and 6.47 %, respectively. Later, LiDAR datasets for the same time were used to generate DEM/surface models (DSM) and CHMs.

Keywords: earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:ijesnr:v:2:y:2017:i:1:p:30-37

DOI: 10.19080/IJESNR.2017.02.555580

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