Bioresource Inventory Using Remote Sensing for Regional Energy Planning

Ramachandra. T.V., Vijaya Prasad. B.K. and Samapika Padhy
Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560 012, India

Abstract

Introduction

Objectives

Study Area: Kolar District

Methodology

Biomass Resources Assessment

Literature Review

Results and Discussion

Status of Bioresource

Methodology :

An integrated approach involving compilation of data from government agencies and institutions, application of spatial and temporal analyses using remote sensing data, Geographic Information System (GIS technique) and conventional field survey (ground truthing) have been adopted in this study (Fig 1b). The vegetation map for Kolar district (talukwise) were prepared based on the interpretation of IRS-1C satellite imageries, using the visual interpretation keys such as tone, colour, texture, pattern, association, size, shape, topography and drainage. This involves

Data acquisition, loading, composite generation and georeferencing
Training sites, Ground truth collection (field data collection).
Signature generation for classification
Demarcation of boundaries and transfer of administrative features
Extraction of statistics
Taluk and district boundaries, and road network were digitised from SOI toposheets.

Georeferencing has been done by extracting GCPS from topographical map and using GPS. Multispectral classifications was carried out using soft classifiers (based on Bayesian probability theory).