Carbon Footprint of Karnataka: Accounting of Sources and Sinks
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Fig. 2 Method adopted for carbon budgeting for Karnataka. Source Author
identification of heterogeneous patches corresponding to diverse landscape elements,
(ii) attribute data collected in the field corresponding to these training polygons using
precalibrated GPS (Global positioning system) and virtual data (Google Earth—
https://earth.google.com, Bhuvan https://bhuvan.nrsc.gov.in), (iii) classification of
RS data for eight different land-use categories through GMLC algorithm using
training data, and (iv) accuracy assessment of classified remote sensing information was done through error matrix (contingency matrix) and K
statistics (Kappa).
The training data compiled from field (60%) have been used for classification, while
the balance is used for accuracy assessment and validation [28].
3.1 Estimation of Spatiotemporal Carbon Sequestration
Potential
The carbon sequestration potential of forest ecosystems, plantations, and agriculture areas was assessed based on (i) field estimations carried out in the forests
across Karnataka state using transect cum quadrat based sampling techniques and (ii)