Quantification of the terrestrial phytomass and carbon in the mountainous forest ecosystem using remote sensing and in-situ observations
The aim of this research was to develop an understanding of how mountainous forests function in relation to forest phytomass and carbon accumulation in the terrestrial vegetation pools which will help develop options for climate change. In this study, the forest phytomass has been assessed in range...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/483/2015/isprsarchives-XL-7-W3-483-2015.pdf |
| Summary: | The aim of this research was to develop an understanding of how mountainous forests function in relation to forest phytomass and
carbon accumulation in the terrestrial vegetation pools which will help develop options for climate change. In this study, the forest
phytomass has been assessed in range of subtropical and temperate forest dominated by tree species of <i>Quercus semicarpifolia</i> Sm.
and <i>Pinus roxburghii Sarg</i> in Himalayan region Purola tehsil in Uttarkashi district of Uttarakhand state of India. <i>In-situ</i>
measurements of the phytomass were taken with clustered sampling approach on a total of 40 plots (0.1 ha each), i.e. in 10 MODIS
pixels with 4 plots laid in an individual pixel. The field measured phytomass was found in the range of 67.76 - 1,108 t ha<sup>-1</sup>.
Weighted-area phytomass was estimated at an individual MODIS (MOD13Q1, 250m) pixel where in-situ measurements varied from
207.93 t ha<sup>-1</sup> - 1,042 t ha<sup>-1</sup>. The best fit equation of pixel phytomass values was regressed on red, infra-red and vegetation indices
(NDVI) derived from the MODIS data. The correlation between the measured phytomass and NDVI was found significant and
maximum in the month of December (R value -0.71, p < 0.01). However, such a relationship was not persistent throughout the year.
The R<sup>2</sup> value between observed phytomass and predicted phytomass was 0.53. The predicted phytomass based on 250×250 m
MODIS data varied from 216.88 - 1,011 t ha<sup>-1</sup>. The average phytomass density in study area was 470.42 t ha<sup>-1</sup> and carbon density
221.09 t ha<sup>-1</sup>. |
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| ISSN: | 1682-1750 2194-9034 |