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

Author

Listed:
  • Firoz Ahmad
  • Laxmi Goparaju

    (Vindhyan Ecology and Natural History Foundation, Mirzapur, India)

  • Abdul Qayum

    (Department of Environment and Forest, Government of Arunachal Pradesh, India)

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.

Suggested Citation

  • Firoz Ahmad & Laxmi Goparaju & Abdul Qayum, 2017. "Natural Resource Mapping Using Landsat and Lidar towards Identifying Digital Elevation, Digital Surface and Canopy Height Models," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 2(1), pages 30-37, March.
    • Handle: RePEc:adp:ijesnr:v:2:y:2017:i:1:p:30-37
    DOI: 10.19080/IJESNR.2017.02.555580
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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