Stratification of forest density and its validation by NDVI analysis in a part of western Himalaya, India using Remote sensing and GIS techniques
IR@IHBT: CSIR-Institute of Himalayan Bioresource Technology, Palampur
View Archive Info| Field | Value | |
| Title |
Stratification of forest density and its validation by NDVI analysis in a
part of western Himalaya, India using Remote sensing and GIS
techniques
|
|
| Creator |
Kumar, Amit
Uniyal , S K Lal , Brij |
|
| Subject |
Ecology
|
|
| Description |
This study deals with the assessment of the status of forest density in the Kangra
district of Himachal Pradesh, western Himalaya. A classified forest map of the
area with an accuracy of 88.17% was produced using the hybrid classification
method in Erdas Imagine. An IRS 1D LISS III satellite image was used for
mapping and classification. Forest density was calculated in the ArcGIS
environment by overlaying a mesh of uniform resolution cells (500m6500 m)
on a classified forest map. The forest density value of each cell was later used for
the preparation of forest density contours. The forest density output was verified
by Normalized Difference Vegetation Index (NDVI) analyses. The forest cover of
the study area was found to be 34.3%. Baroh area had the highest (45.87%) forest
density and Baijnath (18.65%) the lowest. Central and western regions of the
district showed high-value forest density contours (.50%). The derived NDVI
values were compared against the forest density classes for assessing the accuracy
of the results obtained. A positive correlation (r50.99) between NDVI values and
forest density confirms the accuracy of the results.
|
|
| Date |
2007
|
|
| Type |
Article
PeerReviewed |
|
| Format |
application/pdf
|
|
| Identifier |
http://ihbt.csircentral.net/529/1/388_2007_2%2D12%2D2011.pdf
Kumar, Amit and Uniyal , S K and Lal , Brij (2007) Stratification of forest density and its validation by NDVI analysis in a part of western Himalaya, India using Remote sensing and GIS techniques. International Journal of Remote Sensing, 28 (11). pp. 2485-2495. |
|
| Relation |
http://ihbt.csircentral.net/529/
|
|