Estimating above ground biomass of pinus roxbhurghii using slope based vegetation index model

A.M. Joshi*, S. Shahnawaz, B. Ranjit

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

Pinus roxburghii is one of the important and most widely planted tree species in Nepal. Despite its large abundance and high economic values, limited studies on its AGB have been conducted in Nepal, especially using in situ non-destructive method. There are different methods to study the AGB. Regression equation based on the correlation between VI and AGB is cost effective method, and replicable in another sites of similar environment by just acquiring satellite images. Numerous methods have been developed to calculate VIs and each calculated VI shows different relation with AGB in different environments for same species. Therefore, there is a need to identify a most appropriate VI that has the highest correlation with AGB of P. roxburghii. The current study was carried out in Hattiban and Dollu community forests of Kathmandu district, using ResourceSat-2 imagery. In this study, Slope based VIs were used. Regression analysis between slope based VIs and AGB showed that relation between all VIs and AGB were significant. However, NDVI had the highest relation with AGB compared to others. Therefore, it was concluded that NDVI was the most appropriate VI to estimate AGB of P. roxburghii, and the regression equation with NDVI was used to estimate the AGB of P. roxburghii in the study area.

Original languageEnglish
Title of host publicationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationInternational Workshop on “Capacity Building and Education Outreach in Advanced Geospatial Technologies and Land Management
EditorsK. McDougall, G.P. Bhatta, D.R. Paudyal, R. Shrestha, P.S. Upadhyaya, T.P. Dahal, B. Ranjit, S. Shrestha, L. Thapa
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages35-42
Number of pages8
Volume4
Edition5/W2
DOIs
Publication statusPublished - 5 Dec 2019
Externally publishedYes
EventInternational Workshop on Capacity Building and Education Outreach in Advanced Geospatial Technologies and Land Management 2019 - Dhulikhel, Nepal
Duration: 10 Dec 201911 Dec 2019

Publication series

NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
PublisherCopernicus
ISSN (Print)2194-9042

Workshop

WorkshopInternational Workshop on Capacity Building and Education Outreach in Advanced Geospatial Technologies and Land Management 2019
Country/TerritoryNepal
CityDhulikhel
Period10/12/1911/12/19

Keywords

  • Above Ground Biomass
  • CTVI
  • NDVI
  • Pinus roxbhurghii
  • RATIO
  • TTVI
  • TVI
  • Vegetation Index
  • ITC-CV

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