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Geospatial Approach for National Level TOF Assessment Using IRS High Resolution Imaging: Early Results

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Abstract

Estimation of Trees Outside Forests (TOF), a valuable vegetation component in the overall constitution of land use/land cover as well as sustainable economy, poses a challenge in its estimation, due to its discrete nature of its spread and highly dynamic occurrence. The present study is a part of ‘Vegetation Carbon pools’, a sub project of National carbon Project, which aims to employ satellite remote sensing in tandem with in situ methods. Study is proposed to be taken up using geospatial framework. The spatial framework relies on the premise that trees outside forests are likely to occupy specific spatial contexts such as man-made infrastructure as part of various plantation programmes and it is possible to map such spatial context e.g., roads, railways, canal and ponds(referred as ‘TOF niche’) . A geospatial frame using a grid of 5 × 5 km resolution has been prepared involving information derived from a national zonation using multiple themes, open series digital topographic sheets and land use land cover database at 1:50,000 scale, available under Natural Resources Census of ISRO-National Natural Resources Management System. Gridded frame aims to stratify entire India in terms of density of infrastructure that may harbour TOF followed by selection of representative windows of high resolution panchromatic and multispectral Indian Remote Sensing images. A case study demonstrating the approach was carried out for the Telangana region. TOF information was derived using satellite images, available from open source Earth visualization, in specific sampled grids across sub-regions of Telangana to establish factors explaining each niche in terms of TOF content, which was used to derive estimates across the region intended. In all, 4005 grids were considered for assessment which contained 73,84,000 trees, which amounted to an average of 73.7 tree per sq km .

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Acknowledgments

We hereby acknowledge the support of ISRO Geosphere Biosphere Programme in conducting the study under National Carbon Project . We thank the efforts of Ms. Swapna and Ms. Ghousia for assistance in preparation of the trees outside forest datasets from different sources. Authors also would like to profusely thank the valuable suggestions offered by anonymous reviewers which helped to improve critical aspects in this work.

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Authors and Affiliations

  1. Forestry and Ecology Group, Remote Sensing Area, National Remote Sensing Centre, Balanagar, Hyderabad, India

    G. S. Pujar & C. S. Jha

  2. National Remote Sensing Centre, Balanagar, Hyderabad, India

    V. K. Dadhwal

  3. Geospatial, International Centre for Integrated Mountain Development, Kathmandu, Nepal

    M. S. R. Murthy

  4. Regional Remote Sensing Centre – South, I-Site Campus, NRSC, Banglore, India

    S. Trivedi

  5. Department of Environmental Sciences, Osmania University, Hyderabad, India

    P. M. Reddy

  6. Centre for Atmospheric Sciences and Weather Modification Technologies, Jawaharlal Nehru Institute of Technology, Hyderabad, India

    D. Swapna

Authors
  1. G. S. Pujar
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  2. V. K. Dadhwal
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  3. M. S. R. Murthy
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  4. S. Trivedi
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  5. P. M. Reddy
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  6. D. Swapna
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  7. C. S. Jha
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Correspondence to G. S. Pujar.

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Pujar, G.S., Dadhwal, V.K., Murthy, M.S.R. et al. Geospatial Approach for National Level TOF Assessment Using IRS High Resolution Imaging: Early Results. J Indian Soc Remote Sens 44, 321–333 (2016). https://doi.org/10.1007/s12524-015-0476-y

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  • DOI: https://doi.org/10.1007/s12524-015-0476-y

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