of remote sensing in analysis of impact assessment using biomass vigour
changes of watersheds
Thakkar1*, V.R. Desai1, A. Patel2 and M.B.
Civil Engineering, Indian Institute of Technology, Kharagpur-721 302, India
Institute for Space Applications and Geo-informatics (BISAG), Gandhinagar-382
Author E-mail: firstname.lastname@example.org
received : 09.12.2015
received : 15.05.2016
received : 30.11.2016
Accepted : 24.12.2016
Aim: Vegetation status
analysis is the best technique to assess the impact of watershed development
activities. However, this approach often ignores biomass changes which are
not due to the watershed management intervention in arid/semi-arid regions.
The present study focused on the biomass vigour change detection to assess
the impact of watershed management measures in arid Arjuni and semi-arid
Morva-Hadaf watersheds from Gujarat state, India.
study was carried out by multi-temporal remote sensing data for the year,
2002 & 2012 and 1997 & 2011 for the corresponding watersheds. The
changes in biomass vigour were identified using the Normalized Difference
Vegetation Index (NDVI) approach at watershed and sub-watershed levels for
Arjuni watershed and watershed and mini-watershed levels for Morva-Hadaf
watershed. The identified biomass changes were precisely tested with respect
to already treated areas under watershed management programmes.
NDVI values increased in both watersheds representing an overall increase in
the biomass vigour. However, the sub-watershed level study of Arjuni
watershed and mini-watershed level study of Morva-Hadaf watershed showed
negative relationship between the percentage increase in NDVI, and percentage
of treated area under different programmes.
results inferred that the increase in biomass vigour does not solely explain
the implementation of watershed management measures. This clearly indicates
that other than human induced factors (viz., micro-irrigation system adopted
by farmers), seasonal factors (i.e., rainfall, temperature) have also
influenced the NDVI values throughout the study area. Looking into the
current micro-watershed clustering approach, the future work is required to
distinguish between climate and human induced factors as a part of impact
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