Share:


Mapping of deforestation and forest degradation associated with responsible drivers in the Man River Basin, Central India

    Jitendra Thakur   Affiliation

Abstract

In developing countries, both deforestation and forest degradation are of serious environmental concern due to various driving factors. This can be more difficult to manage due to the lack of quality data and the unavailability of appropriate mapping techniques. Based on remote sensing data, this study examined an integrated approach to improve the mapping capability of forest change monitoring for data deficient areas. The study is carried out integrating ground-based information with Landsat 5 TM, Landsat 8 OLI and TIRS in the Man River Basin, India. The findings of the current study suggest that the integrated approach enhances the ability of modeling to estimate deforestation and forest degradation associated with responsible drivers, especially in countries such as India where grassroots data are infrequent.

Keyword : deforestation, forest degradation, drivers, integrated approach, remote sensing

How to Cite
Thakur, J. (2022). Mapping of deforestation and forest degradation associated with responsible drivers in the Man River Basin, Central India. Geodesy and Cartography, 48(4), 218–223. https://doi.org/10.3846/gac.2022.14951
Published in Issue
Nov 28, 2022
Abstract Views
340
PDF Downloads
196
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Achard, F., Grassi, G., Herold, M., Teobaldelli, M., & Mollicone, D. (2008). Use of satellite remote sensing in LULUCF sector. Background paper at the IPCC Expert Meeting to consider the current IPCC guidance on estimating emissions and removals of greenhouse gases from land uses such as agriculture and forestry (GTOS GOFC-GOLD Report No. 33). GOFC-GOLD.

Asner, G. P., Knapp, D. E., Broadbent, E. N., Oliveira, P. J. C., Keller, M., & Silva, J. N. (2005). Selective logging in the Brazilian Amazon. Science, 310(5747), 480–483. https://doi.org/10.1126/science.1118051

Asner, G. P., & Warner, A. S. (2003). Canopy shadow in IKONOS satellite observations of tropical forests and savannas. Remote Sensing of Environ-ment, 87(4), 521–533. https://doi.org/10.1016/j.rse.2003.08.006

Banerjee, R. (2010). Neither water nor governance. Study report of Water Governance in the Man River Basin. Society for Promotion of Wastelands Development under a Sir Dorabji Tata Trust supported Water Governance Project.

Broadbent, E. N., Asner, G. P., Peña-Claros, M., Palace, M., & Soriano, M. (2008). Spatial partitioning of biomass and diversity in a lowland Bolivian forest: Linking field and remote sensing measurements. Forest Ecology and Management, 255, 2602–2616. https://doi.org/10.1016/j.foreco.2008.01.044

Dale, V. H. (1997). The relationship between land-use change and climate change. Ecological Applications, 7(3), 753–769. https://doi.org/10.1890/1051-0761(1997)007[0753:TRBLUC]2.0.CO;2

DeFries, R., Achard, F., Brown, S., Herold, M., Murdiyarso, D., Schlamadinger, B., & Souza, Jr. C. (2007). Earth observations for estimating green-house gas emissions from deforestation in developing countries. Environmental Science and Policy, 10(4), 385–394. https://doi.org/10.1016/j.envsci.2007.01.010

Deborah, L., & Karen, V. (2015). Effects of tropical deforestation on climate and agriculture. Nature Climate Change, 5, 27–36. https://doi.org/10.1038/nclimate2430

Foley, J. A., DeFries, R., & Asner, G. P. (2005). Global consequences of land use. Science, 309(5734), 570–574. https://doi.org/10.1126/science.1111772

GOFC-GOLD. (2010). A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and remov-als caused by deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation (GOFC-GOLD Report version COP16-1). GOFC-GOLD Project Office, Natural Resource Canada, Alberta, Canada.

Hansen, M. C., Stehman, S. V., Potapov, P. V., Loveland, T. R., Townshend, J. R. G., DeFreis, R. S., Pittman, K. W., Arunarwati, B., Stolle, F., Steininger, M. K., Carroll, M., & DiMiceli, C. (2008). Humid tropical forest clearing from 2000 to 2005 quantified by using multi-temporal and mul-ti-resolution remotely sensed data. Proceedings of the National Academy of Science, 105(27), 9439–9444. https://doi.org/10.1073/pnas.0804042105

Hellden, U. (1991). Desertification – Time for an assessment. Ambio, 20(8), 372–383.

Herold, M., Román-Cuesta, R. M., Heymell, V., Hirata, Y., Van Laake, P., Asner, G. P., Souza, C., Avitabile, V., & MacDicken, K. (2011). A review of methods to measure and monitor historical carbon emissions from forest degradation. Unasylva, 62(2), 16–24.

Huete, A. R., Liu, H., Batchily, K., & van Leeuwen, W. (1997). A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59(3), 440–451. https://doi.org/10.1016/S0034-4257(96)00112-5

Indrabudi, H., Gier, A. D., & Fresco, L. o. (1998). Deforestation and its driving forces; a case study of Riam Kanan Watershed, Indonesia. Land Deg-radation & Development, 9(4), 311–322. https://doi.org/10.1002/(SICI)1099-145X(199807/08)9:4<311::AID-LDR294>3.0.CO;2-X

Intergovernmental Panel on Climate Change. (2003). Report on definitions and methodological options to inventory emissions from 15 direct hu-man-induced degradation of forests and DE vegetation of other vegetation types.

Knight, J. F., & Lunetta, R. S. (2003). An experimental assessment of minimum mapping unit size. IEEE Transactions on Geoscience and Remote Sensing, 41(9). https://doi.org/10.1109/TGRS.2003.816587

Lambin, E. F. (1999). Monitoring forest degradation in tropical regions by remote sensing: Some methodological issues. Global Ecology and Biogeog-raphy, 8(3/4), 191–198. https://doi.org/10.1046/j.1365-2699.1999.00123.x

Madhya Pradesh State Government. (2007). Forest Department Report 2007 on forest of state.

Manandhar, R., Odeh, O. A., & Robert, G. P. J. (2010). Analysis of twenty years of categorical land transitions in the Lower Hunter of New South Wales, Australia. Agriculture Ecosystems and Environment, 135, 336–346. https://doi.org/10.1016/j.agee.2009.10.016

Margono, B. A., Turubanova, S., Zhuravleva, I., Potapov, P., Tyukavina, A., Baccini, A., Goetz, S., & Hansen, M. C. (2012). Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010. Environmental Research Letters, 7, 03010. https://doi.org/10.1088/1748-9326/7/3/034010

Narmada Valley Development Authority. (2008). Narmada Valley Development Authority, Irrigation Project Report 2008. An Organisation of Govt. of Madhya Pradesh, India.

Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E., & Wulder, M. A. (2014). Good practices for estimating area and assessing accuracy of landchange. Remote Sensing of Environment, 148, 42–57. https://doi.org/10.1016/j.rse.2014.02.015

Olofsson, P., Kuemmerle, T., Griffiths, P., Knorn, J., Baccini, A., & Gancz, V. (2011). Carbon implications of forest restitution in post-socialist Roma-nia. Environmental Research Letters, 6, 045202. https://doi.org/10.1088/1748-9326/6/4/045202

Ravindranath, N. H., Sirvastava, N., Murthy, I. K., Malaviya, S., Munsi, M., & Sharma, N. (2012). Deforestation and forest degradation in India impli-cations for REDD+. Current Science, 102(8).

Ringrose, S., Matheson, W., Tempest, F., & Boyle, T. (1990). The development and causes of range degradation features in southeast Botswana using multi-temporal Landsat MSS imagery. Photogrammetric Engineering and Remote Sensing, 56, 1253–1262.

Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the great plains with ERTS. Third ERTS Sympo-sium, NASA SP-351, 1, 309–317.

Saatchi, S. S., Houghton, R. A., Dos Santos Alvara, R. C., Soares-Filho, J. V., & Yu, Y. (2007). Distribution of aboveground live biomass in the Am-azon basin. Global Change Biology, 13(4), 816–837. https://doi.org/10.1111/j.1365-2486.2007.01323.x

Saura, S. (2002). Effects of minimum mapping unit in land cover data spatial configuration and composition. International Journal of Remote Sensing, 23(22), 4853–4880. https://doi.org/10.1080/01431160110114493

Souza, Jr., C., Cochrane, M., Sales, M., Monteiro, A. L., & Mollicone, D. (2009). Integrating forest transects and remote sensing data to quantify carbon loss due to forest degradation in the Brazilian Amazon. Case Studies on Measuring and Assessing Forest Degradation (Forest Resources Assessment Working Paper 161). Forestry Department, FAO, Rome, Italy.

Specht, M. J., Pinto, S. R. R., Albuqerque, U. P., Tabarelli, M., & Melo, F. P.L. (2015). Burning biodiversity: Fuelwood harvesting causes forest deg-radation in human – dominated tropical landscapes. Global Ecological and Conservation, 3, 200–209. https://doi.org/10.1016/j.gecco.2014.12.002

Tamgadge, D. B., Gajbhiye, K. S., Mandal, C., Mandal, D. K., Bankar, W. V., Velayutham, M., & Kaushal, G. S. (2001). Soil resources atlas of Dhar district (Madhya Pradesh) (NBSS Publication No. 90). National Bureau Of Soil Survey and Land Use Planning, Nagpur, India.

Teferi, E., Bewket, W., Stefan, U., & Jochen, W. (2013). Understanding recent land use and land cover dynamics in the source region of the Upper Blue Nile, Ethiopia: Spatially explicit statistical modelling of systematic transitions. Agriculture, Ecosystems and Environment, 165, 98–117. https://doi.org/10.1016/j.agee.2012.11.007

Tian, H. A., Kamaljit, B. A., Tao, B., & Vinay, K. D. (2014). History of land use in India during 1880–2010: Large-scale land transformations recon-structed from satellite data and historical archives. Global and Planetary Change, 121, 78–88. https://doi.org/10.1016/j.gloplacha.2014.07.005

Tucker, C. J., Dregne, H. E., & Newcomb, W. W. (1991). Expansion and contraction the Sahara desert from 1980 to 1990. Science, 253, 299–301. https://doi.org/10.1126/science.253.5017.299

Wertz-Kanounnikoff, S. (2008). Monitoring forest emissions – a review of methods (CIFOR Working Paper No. 39). Center for International Forestry Research.