Space remote sensing for spatial vegetation characterization.

dc.contributor.authorRavan, Shirish A
dc.contributor.authorRoy, P S
dc.contributor.authorSharma, C M
dc.date.accessioned2015-07-31T06:50:26Z
dc.date.available2015-07-31T06:50:26Z
dc.date.issued1995-06
dc.description.abstractThe study area, Madhav National Park (MP) represents northern tropical dry deciduous forest. The national park, due to its unique location (nearest to township), is under tremendous biotic pressure. In order to understand vegetation structure and dynamics, vegetation mapping at community level was considered important. Prolonged leafless period and background reflection due to open canopy poses challenge in interpretation of satellite data. The vegetation of Madhav National Park was mapped using Landsat TM data. The ground data collected from sample points were subjected to TWINSPAN analysis to cluster sample point data into six communities. The vegetation classification obtained by interpretation (visual and digital) of remote sensing data and TWINSPAN were compared to validate the vegetation classification at community level. The phytosociological data collected from sample points were analysed to characterize communities. The results indicate that structural variations in the communities modulate spectral signatures of vegetation and form basis to describe community structure subjectively and at spatial level.en_US
dc.identifier.citationRavan Shirish A, Roy P S, Sharma C M. Space remote sensing for spatial vegetation characterization. Journal of Biosciences. 1995 Jun; 20(3): 427-438.en_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/161040
dc.language.isoenen_US
dc.source.urihttps://www.ias.ac.in/jarch/jbiosci/20/427-438.pdfen_US
dc.subjectRemote sensingen_US
dc.subjectcommunity analysisen_US
dc.subjectvegetation mappingen_US
dc.titleSpace remote sensing for spatial vegetation characterization.en_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
jb1995v20n3p427.pdf
Size:
788.56 KB
Format:
Adobe Portable Document Format
Description:
Journal artical
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: