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Status of Desertification in South India – Assessment, Mapping and Change Detection Analysis


Affiliations
1 ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru - 560 024, India
2 ISRO-Space Applications Centre, Ahmedabad - 380 015, India
3 ICAR-National Bureau of Soil Survey and Land Use Planning, Amaravati Road, Nagpur - 440 033, India
 

Desertification is the transformation of productive land into a non-productive one due to poor resource management, and unfavourable biophysical and economical factors. Periodical assessment of desertification status is imperative for a suitable comprehensive and combating plan. In the present study, desertification status maps of Andhra Pradesh (AP), Karnataka and Telangana in South India have been prepared using remote sensing data for two time-frames (2003– 2005 and 2011–2013) and change detection analysis has been carried out. The results reveal that 14.35%, 36.24% and 31.40% of the total geographical area in Andhra Pradesh, Karnataka and Telangana were affected by desertification processes respectively, in 2011–2013. Among the desertification processes, vegetal degradation contributes 7.27% of total area in AP, followed by water erosion (4.93%) and waterlogging (0.83%), whereas in Karnataka water erosion (26.29%) is dominant followed by vegetal degradation (8.93%) and salinization (0.45%). Change detection analysis shows that desertification processes of AP and Karnataka have increased by 0.19% and 0.05% respectively, whereas in Telangana it has decreased by about 0.52% from 2003 to 2005 data. The present database will help the scientists, planners and stakeholders to prepare appropriate land reclamation measures to control the increasing trend of desertification.

Keywords

Change Detection Analysis, Desertification, Salinization, Vegetal Degradation, Waterlogging.
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  • Dharumarajan, S., Bishop, T. F. A., Hegde, R. and Singh, S. K., Desertification vulnerability index – an effective approach to assess desertification processes: a case study in Anantapur district, Andhra Pradesh, India. Land Degra. Dev., 2018, 29, 150–161; doi:10.1002/ldr.2850.

  • Middleton, L. and Thomas, D. (eds), World Atlas of Desertification, United Nations Environment Programme (UNEP), Arnold, London, 1997, 2nd edn, p. 182.

  • United Nations Convention for Combating Desertification (UNCCD), Desertification, the invisible frontline, 2014; http://www.unccd.int/Lists/SiteDocumentLibrary/Publications

  • Reynolds, J. F., Smith, D. M. S. and Lambin, E. F., Global desertification: building a science for dryland development. Science, 2007, 316, 847–851; doi:10.1126/science.1131634.

  • UNCCD, Max Planck Yearbook of United Nations Law, 2008, vol. 12, pp. 287–300; http://www.unccd.int/convention/ratif/doeif.php

  • Okin, G. S., Murray, B. and Schlesinger, W. H., Degradation of sandy arid shrubland environments: observations, process modelling, and management implications. J. Arid Environ., 2001, 47(2), 123–144; doi:10.1006/jare.2000.0711.

  • Land desertification, 2005; http://www.biox.cn/content/20050414/10407.htm

  • Duanyang, X., Kang, X., Qiu, D., Zhuang, D. and Pan, J., Quantitative assessment of desertification using Landsat data on a regional scale – a case study in the Ordos Plateau, China. Sensors, 2009, 9(3), 1738–1753; doi:10.3390/s90301738.

  • Hill, H., Stellmes, M., Udelhoven, Th., Roder, A. and Sommer. S., Mediterranean desertification and land degradation. Mapping related land use change syndromes based on satellite observations. Global Planet. Change, 2008, 64(3–4), 146–157; doi:10.1016/j.gloplacha.2008.10.005.

  • Kundu, A., Patel, N. R., Saha, S. K. and Dutta, D., Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods. Nat. Hazards, 2017, 86, 297–313; doi:10.1007/s11069-016-2689y.

  • Dhargawe, S. D., Sastry, K. L. N., Gahlod, N. S. and Arya, V. S., Desertification change analysis study using multi-temporal Awifs data: Uttarakhand State. Universal J. Environ. Res. Technol., 2016, 6(2), 73–81.

  • Sharma, K. D., The hydrological indicators of desertification. J. Arid Environ., 1998, 39(2), 121–132; doi:10.1006/jare.1998.0403.

  • Jain, S. K., Kumar, S. and Varghese. J., Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour. Manage., 2001, 15, 41–54; doi:10.1023/A:1012246029263.

  • Mouat, D., Lancaster, J., Wade, T., Wickham, J., Fox, C., Kepner, W. and Ball, T., Desertification evaluated using an integrated environmental assessment model. Environ. Monit. Assess., 1997, 48(2), 139–156; doi:10.1023/A:1005748402798.

  • Geist, H. J. and Lambin. E. F., Dynamic causal patterns of desertification. BioScience, 2004, 54(9), 817–829; doi:10.1641/00063568.

  • Tripathy, G. K., Ghosh, T. K. and Shah, S. D., Monitoring of desertification process in Karnataka state of India using multitemporal remote sensing and ancillary information using GIS. Int. J. Remote Sensing, 1996, 17, 2243–2257; doi:10.1080/ 01431169608948771.

  • Kosmas, C., Gerontidis, S., Detsis, V., Zafiriou, T. and Marathianou, M., Application of the proposed methodology for defining ESAs: the island of Lesvos (Greece). In Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertification (eds Kosmas, C., Kirkby, M. J. and Geeson, N.), European Commission Publication 18882, 1999, pp. 66–73.

  • Lin, M.-L. et al., Fuzzy model-based assessment and monitoring of desertification using MODIS satellite imagery. Eng. Comput., 2009, 26(7), 745–760; doi:10.1108/02644400910985152.

  • Dhinwa, P. S., Dasgupta, A. and Ajai, Monitoring and assessment of desertification using satellite remote sensing. J. Geomat., 2016, 10(2), 210–216.

  • Salvati, L., Bajocco, S., Ceccarelli, T., Zitti, M. and Perini, L., Towards a process-based evaluation of land vulnerability to soil degradation in Italy. Ecol. Indic., 2011, 11, 1216–1227; doi:10.1016/j.ecolind.2010.12.024.

  • Elias, S., Karathanasis, N., Koukoulas, S. and Panagopoulos, G., Monitoring sensitivity to land degradation and desertification with the environmentally sensitive area index: the case of Lesvos Island. Land Degrad. Dev., 2016, 27, 1562–1573; doi:10.1002/ldr.2285.

  • Sehgal, J. and Abrol, I. P., Soil Degradation in India: Status and Impact, Oxford and IBH, New Delhi, 1994, p. 80.

  • Ajai, Arya, A. S., Dhinwa, P. S., Pathan, S. K. and Ganesh Raj, K., Desertification/land degradation status mapping of India. Curr. Sci., 2009, 97, 1478–1483.

  • Singh, G., Salinity-related desertification and management strategies: Indian experience. Land Degrad. Dev., 2009, 20(4), 367–385; doi:10.1002/ldr.933.

  • Maji, A. K., Reddy, G. P. O. and Sarkar, D., Degraded and wastelands of India: status and spatial distribution. Directorate of Information and Publications of Agriculture, Indian Council of Agricultural Research, New Delhi and National Academy of Agricultural Sciences, New Delhi, 2010, p. 158.

  • Budihal, S. L. et al., Assessment and mapping of desertification status in Bellary district, Karnataka State, using IRS data. In ISPRS Commission IV International Symposium on Geospatial Databases for Sustainable Development, Goa, 25–30 September 2006.

  • Reddy, R. S., Nalatwadmath, S. K. and Krishnan, P., Soil erosion in Andhra Pradesh. National Bureau of Soil Survey and Land Use Planning, Publication No. 114, NBSSLUP, Nagpur, 2005, p. 76.

  • Naidu, L. G. K. et al., Evaluation of soil and climatic characteristics for identifying constraints and potentials for forest development in Andhra Pradesh, India. Indian J. Dryland Agric. Res. Dev., 2017, 32(1), 63–70; doi:10.5958/2231-6701.2017.00011.2.


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  • Status of Desertification in South India – Assessment, Mapping and Change Detection Analysis

Abstract Views: 379  |  PDF Views: 144

Authors

S. Dharumarajan
ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru - 560 024, India
M. Lalitha
ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru - 560 024, India
Rajendra Hegde
ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru - 560 024, India
N. Janani
ICAR-National Bureau of Soil Survey and Land Use Planning, Hebbal, Bengaluru - 560 024, India
A. S. Rajawat
ISRO-Space Applications Centre, Ahmedabad - 380 015, India
K. L. N. Sastry
ISRO-Space Applications Centre, Ahmedabad - 380 015, India
S. K. Singh
ICAR-National Bureau of Soil Survey and Land Use Planning, Amaravati Road, Nagpur - 440 033, India

Abstract


Desertification is the transformation of productive land into a non-productive one due to poor resource management, and unfavourable biophysical and economical factors. Periodical assessment of desertification status is imperative for a suitable comprehensive and combating plan. In the present study, desertification status maps of Andhra Pradesh (AP), Karnataka and Telangana in South India have been prepared using remote sensing data for two time-frames (2003– 2005 and 2011–2013) and change detection analysis has been carried out. The results reveal that 14.35%, 36.24% and 31.40% of the total geographical area in Andhra Pradesh, Karnataka and Telangana were affected by desertification processes respectively, in 2011–2013. Among the desertification processes, vegetal degradation contributes 7.27% of total area in AP, followed by water erosion (4.93%) and waterlogging (0.83%), whereas in Karnataka water erosion (26.29%) is dominant followed by vegetal degradation (8.93%) and salinization (0.45%). Change detection analysis shows that desertification processes of AP and Karnataka have increased by 0.19% and 0.05% respectively, whereas in Telangana it has decreased by about 0.52% from 2003 to 2005 data. The present database will help the scientists, planners and stakeholders to prepare appropriate land reclamation measures to control the increasing trend of desertification.

Keywords


Change Detection Analysis, Desertification, Salinization, Vegetal Degradation, Waterlogging.

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DOI: https://doi.org/10.18520/cs%2Fv115%2Fi2%2F331-338