Skip to main content

Advertisement

Log in

Sustainable Biodiversity Management in India: Remote Sensing Perspective

  • Review Article
  • Published:
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Aims and scope Submit manuscript

Abstract

Remote sensing, a state of art technology has gained significance due to its capability to map and monitor compositional, structural and functional biodiversity. Remote sensing data provides a perspective on how ecosystems and species are being affected by the multiple disturbances. This paper presents consolidated information of earth observation based biodiversity research and conservation applications in India. Progress achieved for understanding essential biodiversity variables with reference to species populations, species traits, community composition, ecosystem function and ecosystem structure have been reviewed. Studies mostly focused on remote sensing based biodiversity indicators in understanding of land cover, forest cover, forest type, fragmentation, biological richness, carbon stocks, fires and protected area monitoring at multiple spatial and temporal scales. Fine resolution understanding with reference to vegetation structure, function, distribution of threatened, endemic and invasive species is required for effective conservation strategies. The declining trend of deforestation and effectiveness of protected area network indicates India’s commitment towards the global conservation targets. Ensured continuity of remote sensing can support in near real monitoring of habitats and achieving conservation effectiveness.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. FAO (2017) http://www.fao.org/forestry/sfm/85084/en/

  2. Gillespie TW, Foody GM, Rocchini D, Giorgi AP, Saatchi S (2008) Measuring and modelling biodiversity from space. Prog Phys Geogr 32(2):203–221

    Article  Google Scholar 

  3. Pettorelli N, Safi K, Turner W (2014) Satellite remote sensing, biodiversity research and conservation of the future. Philos Trans R Soc B 369:20130190

    Article  Google Scholar 

  4. Murthy et al (2003) Geoinformatics for biodiversity assessment. Biol Lett 40(2):75–100

    ADS  Google Scholar 

  5. Rocchini et al (2010) Remotely sensed spectral heterogeneity as a proxy of species diversity: recent advances and open challenges. Ecol Inform 5:318–329

    Article  Google Scholar 

  6. Rodgers WA, Panwar HS, Mathur VB (2002) Wildlife protected areas in India: a review (executive summary). Wildlife Institute of India, Dehradun

    Google Scholar 

  7. http://www.bsienvis.nic.in

  8. World Bank (2006) India unlocking opportunities for forest-dependent people in India. Agriculture and Rural Development Sector Unit, South Asia region, vol. 1, Report No. 34481

  9. http://www.wiienvis.nic.in/Database/Protected_Area_854.aspx

  10. https://www.cbd.int/doc/world/in/in-nr-05-en.pdf

  11. https://www.cbd.int/sp

  12. https://sustainabledevelopment.un.org/

  13. ISRO (2016) Indian space programme vision and strategy 2017–2030. Department of Space, Bengaluru

    Google Scholar 

  14. http://www.ibin.gov.in

  15. GOFC-GOLD (2017) A sourcebook of methods and procedures for monitoring essential biodiversity variables in tropical forests with remote sensing. Eds: GOFC-GOLD and GEO BON. Report version UNCBD COP-13, GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands. ISSN 2542-6729

  16. Kamal M, Phinn S, Johansen K (2015) Object-based approach for multi-scale mangrove composition mapping using multi-resolution image datasets. Remote Sens 7(4):4753–4783

    Article  ADS  Google Scholar 

  17. Pereira HMS et al (2013) Essential biodiversity variables. Science 339:277–278

    Article  ADS  Google Scholar 

  18. Skidmore A et al (2015) Environmental science: agree on biodiversity metrics to track from space. Nature 523:403–405

    Article  ADS  Google Scholar 

  19. Noss RF (1990) Indicators for monitoring biodiversity: a hierarchical approach. Conserv Biol 4:355–364

    Article  Google Scholar 

  20. Lausch A et al (2016) Linking earth observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecol Ind 70:317–339

    Article  Google Scholar 

  21. NRSC (2016) Natural resources census: national land use and land cover mapping using multi-temporal AWiFS data. Technical report. National Remote Sensing Centre, Hyderabad, India

  22. NRSC (2012) National Land Use/land cover mapping on 1:50,000 scale using temporal Resourcesat-2 LISS-III data. Technical report. NRSC, ISRO, Department of Space, Hyderabad

  23. Roy PS et al (2015) Development of decadal (1985–1995–2005) land use and land cover database for India. Remote Sens 7(3):2401–2430

    Article  ADS  Google Scholar 

  24. http://bhuvan.nrsc.gov.in

  25. NRSA (1985) Forest cover assessment of India using satellite remote sensing data during 1972–1975 and 1980–1982 periods. Technical Report, National Remote Sensing Agency, Hyderabad, India

  26. Forest Survey of India (2015) State of forest report. Forest Survey of India, Dehradun

    Google Scholar 

  27. Reddy CS, Jha CS, Dadhwal VK, Harikrishna P, Pasha SV, Satish KV, Dutta K, Saranya KRL, Rakesh F, Rajashekar G, Diwakar PG (2016) Quantification and monitoring of deforestation in India over eight decades (1930–2013). Biodivers Conserv 25:93–116

    Article  Google Scholar 

  28. http://www.nrsc.gov.in/nices

  29. Reddy CS, Singh S, Dadhwal VK, Jha CS, Rama Rao N, Diwakar PG (2017) Predictive modelling for the spatial pattern of past and future forest cover changes in India. J Earth Syst Sci. https://doi.org/10.1007/s12040-016-0786-7

    Google Scholar 

  30. Reddy CS, Sreelekshmi S, Jha CS, Dadhwal VK (2013) National Assessment of Forest Fragmentation in India: Landscape indices as measures of the effects of fragmentation and forest cover change. Ecol Eng 60:453–464

    Article  Google Scholar 

  31. Roy PS, Murthy MSR, Roy A, Kushwaha SPS, Singh S, Jha CS, Behera MD, Joshi PK, Jagannathan C, Karnatak HC, Saran S, Reddy CS et al (2013) Forest fragmentation in India. Curr Sci 113891(105):774–780

    Google Scholar 

  32. Reddy CS, Singh J, Jha CS, Diwakar PG, Dadhwal VK (2017) Development of spatial database on intact forest landscapes of India. Glob Planet Change 148:131–138

    Article  ADS  Google Scholar 

  33. Nandy S, Kushwaha SPS, Mukhopadhyay S (2007) Monitoring the Chilla–Motichur wildlife corridor using geospatial tools. J Nat Conserv 15(4):237–244

    Article  Google Scholar 

  34. https://daac-news.ornl.gov/content/land-use-and-land-cover-india

  35. Roy PS, Joshi PK, Singh S, Agarwal S, Yadav D, Jegannathan C (2006) Biome mapping in India using vegetation type map derived using temporal satellite data and environmental parameters. Ecol Model 197(1):148–158

    Article  Google Scholar 

  36. Roy PS, Kushwaha SPS, Murthy MSR, Roy A, Kushwaha D, Reddy CS, Behera MD, Padalia H, Mathur VB, Singh S, Jha CS, Porwal MC (2012) Biodiversity characterisation at landscape level: national assessment. Indian Institute of Remote Sensing, Dehra Dun, pp 1–254. ISBN 81-901418-8-0

    Google Scholar 

  37. Roy PS, Behera MD, Murthy MSR, Roy A, Singh S, Kushwaha SPS, Jha CS, Sudhakar S, Joshi PK, Reddy CS et al (2015) New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities. Int J Appl Earth Obs Geoinf 39:142–159

    Article  Google Scholar 

  38. Forest Survey of India (2009) State of forest report. Forest Survey of India, Dehradun

    Google Scholar 

  39. Reddy CS, Jha CS, Diwakar PG, Dadhwal VK (2015) Nationwide classification of forest types of India using remote sensing and GIS. Environ Monit Assess 187(12):777. https://doi.org/10.1007/s10661-015-4990-8

    Article  Google Scholar 

  40. Champion HG, Seth SK (1968) A revised survey of the forest types of India. Manager of Publications, Delhi

    Google Scholar 

  41. Reddy CS, Pasha SV, Jha CS, Diwakar PG, Dadhwal VK (2016) Development of national database on long-term deforestation (1930–2014) in Bangladesh. Glob Planet Change 139:173–182

    Article  ADS  Google Scholar 

  42. Reddy CS, Satish KV, Jha CS, Diwakar PG, Krishna Murthy YVN, Dadhwal VK (2016) Development of deforestation and land cover database for Bhutan (1930–2014). Environ Monit Assess 188:658. https://doi.org/10.1007/s10661-016-5676-6

    Article  Google Scholar 

  43. Reddy CS, Saranya KRL (2017) Earth observation data for assessment of nationwide land cover and long-term deforestation in Afghanistan. Glob Planet Change 155:155–164

    Article  ADS  Google Scholar 

  44. http://bis.iirs.gov.in/

  45. Roy PS, Behera MD (2002) Biodiversity assessment at landscape level. Trop Ecol 43(1):151–171

    Google Scholar 

  46. Reddy CS, Rakesh F, Jha CS, Athira K, Singh S, Alekhya VVLP, Rajashekar G, Diwakar PG, Dadhwal VK (2016) Geospatial assessment of long-term changes in Carbon stocks and fluxes in forests of India (1930–2013). Glob Planet Change 143:50–65

    Article  ADS  Google Scholar 

  47. Reddy CS, Khuroo AA, Harikrishna P, Saranya KRL, Jha CS, Dadhwal VK (2014) Threat evaluation for biodiversity conservation of forest ecosystems using geospatial techniques: a case study of Odisha, India. Ecol Eng 69:287–303

    Article  Google Scholar 

  48. Reddy CS, Jha CS, Manaswini G, Alekhya VVLP, Pasha SV, Satish KV, Diwakar PG, Dadhwal VK (2017) Nationwide assessment of forest burnt area in India using Resourcesat-2 AWiFS data. Curr Sci 112:1521–1532

    Article  Google Scholar 

  49. Pasha SV, Satish KV, Reddy CS, Prasada Rao PVV, Jha CS (2014) Satellite image based quantification of invasion and patch dynamics of Mesquite (Prosopis juliflora) in Great Rann of Kachchh, India. J Earth Syst Sci 123:1481–1490

    Article  ADS  Google Scholar 

  50. Padalia H, Srivastava V, Kushwaha SPS (2014) Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: comparison of MaxEnt and GARP. Ecol Inform 22:36–43

    Article  Google Scholar 

  51. Adhikari D, Tiwary R, Barik SK (2015) Modelling hotspots for invasive alien plants in India. PLoS ONE 10(7):e0134665

    Article  Google Scholar 

  52. Niphadkar M, Ficetola GF, Bonardi A, Nagendra H, Padoa-Schioppa E (2016) Effects of landscape context on the invasive species Lantana camara in Biligiri Rangaswamy Temple Tiger Reserve, India. Trop Ecol 57(1):9–21

    Google Scholar 

  53. Reddy CS, Saranya KRL, Jha CS, Dadhwal VK, Krishna Murthy YVN (2017) Earth observation data for habitat monitoring in protected areas of India. Remote Sens Appl Soc Environ 8:114–125

    Google Scholar 

  54. Reddy CS, Alekhya VVLP, Saranya KRL, Athira K, Jha CS, Diwakar PG, Dadhwal VK (2017) Monitoring of Fire incidences in vegetation types and protected areas of India: implications on carbon emissions. J Earth Syst Sci 126(1):11. https://doi.org/10.1007/s12040-016-0791-x

    Article  ADS  Google Scholar 

  55. Secades C, O’Connor B, Brown C, Walpole M (2014) Earth observation for biodiversity monitoring: a review of current approaches and future opportunities for tracking progress towards the Aichi Biodiversity Targets. Secretariat of the Convention on Biological Diversity, Montréal, Canada. Technical Series No. 72, 183 pages

  56. Chitale VS, Behera MD, Roy PS (2015) Future of endemic flora of biodiversity hotspots in India. PLoS ONE 9(12):e115264

    Article  ADS  Google Scholar 

  57. Turner et al (2003) Remote sensing for biodiversity science and conservation. Trends Ecol Evol 18:306–314

    Article  Google Scholar 

  58. Shilpa G, Giriraj A, Reddy CS, Jentsch A, Sudhakar S (2012) Species distribution models: ecological explanation and prediction of an endemic and endangered plant species (Pterocarpus santalinus L.f.). Curr Sci 102(8):1157–1165

    Google Scholar 

  59. Khare S, Ghosh SK (2016) Satellite remote sensing technologies for biodiversity monitoring and its conservation. Int J Adv Earth Sci Eng 5(1):375

    Article  Google Scholar 

  60. Wang K, Franklin SE, Guo X, He Y, McDermid GJ (2009) Problems in remote sensing of landscapes and habitats. Prog Phys Geogr 33(6):747–768

    Article  Google Scholar 

  61. Vihervaara P et al (2017) How essential biodiversity variables and remote sensing can help national biodiversity monitoring. Glob Ecol Conserv 10:43–59

    Article  Google Scholar 

  62. Ustin SL, Gamon JA (2016) Remote sensing of plant functional types. New Phytol 186:795–816

    Article  Google Scholar 

Download references

Acknowledgements

The first author is thankful to Dr. P.S. Roy, Former Director, IIRS, Dehradun and NASI Senior Scientist Platinum Jubilee Fellow, University of Hyderabad, Dr. V. Jayaraman, Former Director, NRSC, Dr. P.V.N. Rao, Deputy Director, NRSC, Dr. C.S. Jha, Group Director, Forestry and Ecology Group, NRSC and Dr. Anzar A. Khuroo, University of Kashmir for suggestions and encouragement.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Sudhakar Reddy.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sudhakar Reddy, C., Diwakar, P.G. & Krishna Murthy, Y.V.N. Sustainable Biodiversity Management in India: Remote Sensing Perspective. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 87, 617–627 (2017). https://doi.org/10.1007/s40010-017-0438-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40010-017-0438-6

Keywords

Navigation