Refine your search
Collections
Co-Authors
- C. Sudhakar Reddy
- K. V. Satish
- C. S.
- V. K. Dadhwal
- Chandra Shekhar Jha
- Rajashekar Gopalakrishnan
- Kiran Chand Thumaty
- Jayant Singhal
- Jyoti Singh
- Suresh Middinti
- Mutyala Praveen
- Arul Raj Murugavel
- S. Yugandhar Reddy
- Mani Kumar Vedantam
- Anil Yadav
- G. Srinivasa Rao
- Gururao Diwakar Parsi
- Vinay Kumar Dadhwal
- C. S. Jha
- G. Manaswini
- V. V. L. Padma Alekhya
- P. G. Diwakar
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Vazeed Pasha, S.
- Assessment and Monitoring of Deforestation and Land-Use Changes (1976-2014) in Andaman and Nicobar Islands, India Using Remote Sensing and GIS
Abstract Views :363 |
PDF Views:151
Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organization, Balanagar, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organization, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 111, No 9 (2016), Pagination: 1492-1499Abstract
Andaman and Nicobar Islands are part of Indo- Burma and Sundaland global biodiversity hotspots. This study provides spatial information on forest types, deforestation and associated land-use changes in Andaman and Nicobar Islands during 1976 to 2014. Satellite remote sensing and geographical information system (GIS) techniques have been used to analyse forest cover changes, rate of deforestation and to map patterns of forest cover distribution in Andaman and Nicobar Islands. Classified maps prepared for 1976, 1989, 1993, 2000, 2006 and 2014 indicate that the forest cover accounts for an area of 7086.1 (85.9%), 6969.2 (84.5%), 6941.1 (84.1%), 6934.6 (84.1%), 6617.8 (80.2%) and 6407.3 sq. km (77.7%) respectively. It was found that the area occupied by evergreen forests is very high, consisting of 3065.1 sq. km (32.2%) followed by semi-evergreen (1531.6 sq. km), moist deciduous (1133.4 sq. km) and mangrove forest (677.2 sq. km) in 2014. There is large-scale deforestation in Andaman and Nicobar Islands which has been estimated as 678.8 sq. km during the last four decades. The loss of forest cover is high in moist deciduous forests which has been estimated as 312.2 sq. km in Andaman Islands; whereas in Nicobar Islands, the highest loss was found in evergreen forests (244.6 sq. km). The rate of deforestation in Andaman and Nicobar Islands was high during 2000-2006 (0.78) indicating major influence of the tsunami of 26 December 2004. The annual rate of deforestation from 2006 to 2014 was 0.40. The geospatial analysis of areas of forest cover change provides baseline information for restoration and conservation planning.Keywords
Andaman and Nicobar Islands, Deforestation, Forest, GIS, Remote Sensing, Land Use.Full Text
References
- Feddema, J. J., Oleson, K. W., Bonan, G. B., Mearns, L. O., Buja, L. E., Meehl, G. A. and Washington, W. M., The importance of land-cover change in simulating future climates. Science, 2005, 310, 1674–1678.
- Mayaux, P., Holmgren, P., Achard, F., Eva, H., Stibig, H. J. and Branthomme, A., Tropical forest cover change in the 1990s and options for future monitoring. Philos. Trans. R. Soc. B: Biol. Sci., 2005, 360(1454), 373–384.
- Geist, H. J. and Lambin, E. F., Proximate causes and underlying driving forces of tropical deforestation tropical forests are disappearing as the result of many pressures, both local and regional, acting in various combinations in different geographical locations. BioScience, 2002, 52, 143–150.
- Houghton, R. A., Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000. Tellus, 2002, 55B, 378–390.
- CBD, Island biodiversity: island bright spots in conservation and sustainability. Secretariat of the Convention on Biological Diversity, Montreal, Canada, 2014, ISBN 92-9225-525-8.
- Wilkie, D. S. and Finn, J. T., Remote sensing imagery for natural resources monitoring: a guide for first-time users, New York, Columbia University Press, 1996.
- Prasad, P. R. C., Reddy, C. S., Rajan, K. S., Raza, S. H. and Dutt, C. B. S., Assessment of tsunami and anthropogenic impacts on the forest of the North Andaman Islands, India. Int. J. Remote Sensing, 2009, 30(5), 1235–1249.
- Hansen, M. C., Stehman, S. V. and Potapov, P. V., Quantification of global gross forest cover loss. Proc. Natl. Acad. Sci., USA, 2010, 107, 8650–8655.
- Reddy, C. S., Jha, C. S. and Dadhwal, V. K., Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS. Environ. Monitor. Assess, 2013, 185, 4399–4415.
- Reddy, C. S., Dutta, K. and Jha, C. S., Analysing the gross and net deforestation rates in India. Curr. Sci., 2013, 105(11), 1492–1500.
- IIRS, Biodiversity Characterization at Landscape Level in Andaman and Nicobar Islands using Remote Sensing and Geographic Information System, Indian Institute of Remote Sensing, National Remote Sensing Agency, Hyderabad, 2003.
- Roy, P. S. et al., Biodiversity Characterization at Landscape Level: National Assessment, Indian Institute of Remote Sensing, Dehra Dun, 2012, pp. 1–254; ISBN 81-901418-8-0.
- Harikrishna, P., Saranya, K. R. L., Reddy, C. S., Jha, C. S. and Dadhwal, V. K., Assessment and monitoring of deforestation from 1930s to 2011 in Andhra Pradesh, India using remote sensing and collateral data. Curr. Sci., 2014, 107(5), 867–875.
- Reddy, C. S., Jha, C. S. and Dadhwal, V. K., Spatial dynamics of deforestation and forest fragmentation (1930–2013) in Eastern Ghats, India. Int. Arch. Photogramm. Remote Sensing Spatial Inf. Sci., 2014, XL-8, 637–644; doi:10.5194/isprsarchives-XL-8-637-2014.
- Reddy, C. S., Rajashekar, G., Hari Krishna, P., Jha, C. S. and Dadhwal, V. K., Multi-source and multi-date mapping of deforestation in Central India (1935–2010) and its implication on standing phytomass carbon pool. Ecol. Ind., 2015, 57, 219–227.
- FSI, India State of Forest Report, Forest Survey of India, Dehra Dun, 2013.
- Reddy, C. S., Prasad, P. R. C., Murthy, M. S. R. and Dutt, C. B. S., Census of endemic flowering plants of Andaman and Nicobar Islands. J. Econ. Taxon. Bot., 2004, 28(3), 712–728.
- Champion, H. G. and Seth, S. K., A Revised Survey of the Forest Types of India, Manager of Publications, Delhi, 1968.
- Reddy, C. S., Flora of North Andaman Islands, India. Biodiversity in India (eds Pullaiah, T. and Reddy, K. J.), 2013, vol. 6, pp. 111–208; Regency Publications, New Delhi, ISBN 978-81-89233.
- http://censusindia.gov.in/2011-prov-results/data_files/india/Final_ PPT_2011_chapter3.pdf
- Saldanha, C. J., Andaman, Nicobar and Lakshadweep: An Environmental Impact Assessment, Oxford University Press, New Delhi, 1989.
- http://glcfapp.umiacs.umd.edu:8080/esdi (accessed on 8 November 2013).
- http://earthexplorer.usgs.gov/ (accessed on 28 June 2013).
- Puyravaud, J. P., Standardizing the calculation of the annual rate of deforestation. For. Ecol. Manage., 2003, 177, 593–596.
- http://earth.google.com/
- http://bhuvan.nrsc.gov.in/
- Porwal, M. C., Padalia, H. and Roy, P. S., Impact of tsunami on the forest and biodiversity richness in Nicobar Islands (Andaman and Nicobar Islands), India. Biodiver. Conserv., 2012, 21(5), 1267–1287.
- Roy, S. D. and Sankar, K. R., Impacts of climate change and sea level rise on biodiversity and livelihood of Andaman and Nicobar Islands, 2014; http://www.upsbdb.org/pdf/Souvenir2014/ch-2.pdf (accessed on 16 April 2015).
- Ramachandran, S. et al., Ecological impact of tsunami on Nicobar Islands (Camorta, Katchal, Nancowry and Trinkat). Curr. Sci., 2005, 89(1), 195–200.
- Monitoring of forest Fires from Space-ISRO's Initiative for near Real-Time Monitoring of the Recent forest Fires in Uttarakhand, India
Abstract Views :432 |
PDF Views:134
Authors
Chandra Shekhar Jha
1,
Rajashekar Gopalakrishnan
1,
Kiran Chand Thumaty
1,
Jayant Singhal
1,
C. Sudhakar Reddy
1,
Jyoti Singh
1,
S. Vazeed Pasha
1,
Suresh Middinti
1,
Mutyala Praveen
1,
Arul Raj Murugavel
1,
S. Yugandhar Reddy
1,
Mani Kumar Vedantam
1,
Anil Yadav
1,
G. Srinivasa Rao
1,
Gururao Diwakar Parsi
1,
Vinay Kumar Dadhwal
1
Affiliations
1 Forestry and Ecology Group, National Remote Sensing Centre (ISRO), Balanagar, Hyderabad 500 037, IN
1 Forestry and Ecology Group, National Remote Sensing Centre (ISRO), Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 110, No 11 (2016), Pagination: 2057-2060Abstract
ecological, economic and social effects worldwide. Globally, forest fires are considered as one of the major drivers of climate change having deleterious impacts on the earth and environment as studies reveal their significance in producing large amounts of trace gases and aerosol particles, which play a pivotal role in tropospheric chemistry and climate.Full Text
- Nationwide Assessment of Forest Burnt Area in India Using Resourcesat-2 AWiFS Data
Abstract Views :349 |
PDF Views:133
Authors
C. Sudhakar Reddy
1,
C. S. Jha
1,
G. Manaswini
1,
V. V. L. Padma Alekhya
1,
S. Vazeed Pasha
1,
K. V. Satish
1,
P. G. Diwakar
1,
V. K. Dadhwal
1
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 112, No 07 (2017), Pagination: 1521-1532Abstract
This study provides application of Resourcesat-2 AWiFS satellite imagery for forest burnt area assessment in India. AWiFS datasets covering peak forest fire months of 2014 have been analysed. The total burnt area under vegetation cover (forest, scrub and grasslands) of India was estimated as 57,127.75 sq. km. In 2014, 7% of forest cover of India was affected by fires. Of the major forest types, dry deciduous forests are affected by the highest burnt area, followed by moist deciduous forests. Among the biogeographic zones, the highest forest burnt area was recorded in Deccan followed by North East and Western Ghats. The highest burnt area was recorded in Odisha followed by Andhra Pradesh, Maharashtra, Chhattisgarh, Tamil Nadu, Madhya Pradesh, Telangana, Jharkhand, Manipur and Karnataka. Spatial analysis shows that 232 grid cells in India have a burnt area greater than 20 sq. km. The database generated would be useful in ecological damage assessment, fire risk modelling, carbon emissions accounting and biodiversity conservation.Keywords
AWiFS, Forest Fire, Forest Type, India, Remote Sensing.Full Text
References
- Beringer, J., Hutley, L. B., Tapper, N. J., Coutts, A., Kerley, A. and O’Grady, A. P., Fire impacts on surface heat, moisture and carbon fluxes from a tropical savanna in northern Australia. Int. J. Wildland Fire, 2003, 12, 333–340.
- FAO, 2003; http://www.fao.org/english/newsroom/news/2003/21962-en.html
- Puyravaud, J. P., Pascal, J. P. and Dufour, C., Ecotone structure as an indicator of changing forest-savanna boundaries (Linganamakki Region, southern India). J. Biogeogr., 1994, 21(6), 581–593.
- Kucera, J. and Yasuoka, Y., Retrieval of forest fire history in Far East Asia by remote sensing and its analysis with biomass burning Simulation and climate anomalies. Global Environ. Change Ocean and on Land. Terrapub. Tokyo, 2004, 411–424.
- IPCC, Fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 2007.
- Meyn, A., White, P. S., Buhk, C. and Jentsch, A., Environmental drivers of large, infrequent wildfires: the emerging conceptual model. Prog. Phys. Geogr., 2007, 31(3), 287–312.
- Kraus, D. and Goldammer, J. G., Fire regimes and ecosystems: an overview of fire ecology in tropical ecosystems. Forest fires in India – workshop proceedings (ed. Schmerbeck, J., Hiremath, A. and Ravichandran, C.). ATREE, Bangalore, India and Institute of Silviculture, Freiburg, Germany, 2007, pp. 9–13.
- Oliver, J. G. J., Janssens-Maenhout, G., Muntean, M. and Peters, J., Trends in global CO2 emissions; 2013 Report, The Hague: PBL Netherlands Environmental Assessment Agency; ISPRA: Joint Research Centre, 2013.
- Schmerbeck, J., Hiremath, A. and Ravichandran, C., Forest fires in India – Workshop Proceedings. ATREE, Bangalore, India & Institute of Silviculture, Freiburg, Germany, 2007.
- Jaiswal, R. K., Mukherjee, S., Raju, K. D. and Saxena, R., Forest fire risk zone mapping from satellite imagery and GIS. Int. J. Appl. Earth Obs., 2002, 4(1), 1–10.
- Gubbi, S., Fire, fire burning bright. Deccan Herald, Bangalore, India, 2003; http://www. Wildlife first.info/images/worldfiles/fire.doc (accessed on 15 August 2014).
- Satendra and Kaushik, A. D., Forest fire disaster management. National Institute of Disaster Management, Delhi, 2012.
- Joseph, S., Anitha, K. and Murthy, M. S. R., Forest fire in India: a review of the knowledge base. J. For. Res., 2009, 14, 127–134.
- Badarinath, K. V. S. and Prasad, K. V., Carbon dioxide emissions from forest biomass burning in India. Global Environ. Res., 2011, 15, 45–52.
- Eva, H. and Lambin, E. F., Burnt area mapping in Central Africa using ATSR data. Int. J. Remote Sens., 1998, 19, 3473–3497.
- Chuvieco, E., Deshayes, M., Stach, N., Cocero, D. and Riano, D., Short-term fire risk: foliage moisture content estimation from satellite data. In Remote Sensing of Large Wildfires in the European Mediterranean Basin (ed. Chuvieco, E.), Berlin, SpringerVerlag, 1999, pp. 17–38.
- Roy, P. S., Forest fire and degradation assessment using satellite remote sensing and geographic information system. Proceedings of a Training Workshop Satellite Remote Sensing and GIS Applications in Agricultural Meteorology, 2003, pp. 361–400.
- Lentile, L. B., Holden, Z. A., Smith, A. M., Falkowski, M. J., Hudak, A. T., Morgan, P. and Benson, N. C., Remote sensing techniques to assess active fire characteristics and post-fire effects. Int. J. Wildland Fire, 2006, 15(3), 319–345.
- Sedano, F., Kempeneers, P., Strobl, P., McInerney, D. and San Miguel, J., Increasing spatial detail of burned scar maps using IRS–AWiFS data for Mediterranean Europe. Remote Sensing, 2012, 4(3), 726–744.
- Chirici, G. and Corona, P., An overview of passive remote sensing for post-fire monitoring. Forest, 2005, 2(3), 282–289.
- NRSA, Perspectives of geoinformatics in forest fire management (Indian Forest Fire Response and Assessment System). Technical Report, National Remote Sensing Agency, Hyderabad, 2006.
- MoEF, 2014; http://www.icfre.gov.in/UserFiles/File/Institute-ICFRE/2013/Stat/section (accessed on 12 January 2015).
- FSI, State of Forest Report. Ministry of Environment and Forests, Government of India, 1995.
- IFFN, Fire situation in India, 2002, pp. 23–27.
- Chand, K. T. R., Badarinath, K. V. S., Prasad, K. V., Murthy, M. S. R., Elvidge, C. D. and Tuttle, B. T., Monitoring forest fires over the Indian region using DMSP-OLS nighttime satellite data. Remote Sens. Environ., 2006, 103, 165–178.
- Harikrishna, P. and Reddy, C. S., Assessment of increasing threat of forest fires in Rajasthan, India using multi-temporal remote sensing data (2005–2010). Curr. Sci., 2012, 102(9), 1288–1297.
- Giriraj, A., Shilpa, B., Jentsch, A., Sudhakar, S. and Murthy, M. S. R., Tracking fires in India using advanced along track scanning radiometer (A) ATSR data. Remote Sensing, 2010, 2, 591–610.
- Badarinath, K. V. S., Sharma, A. R. and Kharol, S. K., Forest fire monitoring and burnt area mapping using satellite data: a study over the forest region of Kerala State, India. Int. J. Remote Sens., 2011, 32, 85–102.
- Reddy, C. S., Harikrishna, P., Anitha, K. and Joseph, S., Mapping and inventory of forest fires in Andhra Pradesh, India: current status and conservation needs. ISRN Forestry, 2012; doi:10.5402/2012/380412
- Sharma, R. K., Sharma, N., Shrestha, D. G., Luitel, K. K., Arrawatia, M. L. and Pradhan, S., Study of forest fires in Sikkim Himalayas, India using remote sensing and GIS techniques. Climate Change in Sikkim – Patterns, Impacts and Initiatives, 2012, 233–244.
- Reddy, C. S., Khuroo, A. A., Hari Krishna, P., Saranya, K. R. L., Jha, C. S. and Dadhwal, V. K., Threat evaluation for biodiversity conservation of forest ecosystems using geospatial techniques: a case study of Odisha, India. Ecol. Eng., 2014, 69, 287–303.
- Reddy, C. S., Navatha, K., Rachel, B., Murthy, M. S. R. and Manikya Reddy, P., Forest fire monitoring in Sirohi district, Rajasthan using remote sensing data. Curr. Sci., 2009, 97(9), 1287–1290.
- Kodandapani, N., Cochrane, M. A. and Sukumar, R., Conservation threat of increasing fire frequencies in the Western Ghats, India. Conser. Biol., 2004, 18, 1553–1561.
- Somashekar, R. K., Ravikumar, P., Kumar, C. M., Prakash, K. L. and Nagaraja, B. C., Burnt area mapping of Bandipur National Park, India using IRS 1C/1D LISS III data. J. Indian Soc. Remote Sens., 2009, 37(1), 37–50.
- Kodandapani, N., Contrasting fire regimes in a seasonally dry tropical forest and a savanna ecosystem in the Western Ghats, India. Fire Ecol., 2013; doi:10.4996/fireecology.0902102
- Sowmya, S. V. and Somashekar, R. K., Application of remote sensing and geographical information system in mapping forest fire risk zone at Bhadra wildlife sanctuary, India. J. Environ. Biol., 2010, 31(6), 969–974.
- Sudeesh, S. and Reddy, C. S., Forest fire monitoring in NagarjunasagarSrisailam Tiger Reserve, Andhra Pradesh, India using geospatial techniques. Natl. Acad. Sci. Lett., 2013, 36(4), 437–446.
- Saranya, K. R. L., Reddy, C. S., Prasada Rao, P. V. V. and Jha, C. S., Decadal time scale monitoring of Forest Fires in Similipal Biosphere Reserve, India using Remote sensing and GIS. Environ. Monit. Assess., 2014, 186, 3283–3296.
- FSI, State of Forest Report, Ministry of Environment and Forests, Government of India, 2009.
- Anon., 2011; http://censusindia.gov.in/2011-common/CensusData Summary.html
- Rodgers, W. A. and Panwar, H. S., Planning a Wildlife Protected Area Network in India. Wildlife Institute of India, Dehradun, 1988.
- MoEF, 2011; http://www.icfre.gov.in/UserFiles/File/Institute-ICFRE/2013/Stat/section (accessed on 12 January 2015).
- http://glcf.umiacs.umd.edu/
- Chavez, P. S., Image-based atmospheric corrections – revisited and improved. Photogramm. Eng. Rem. S., 1996, 62, 1025–1036.
- NRSC. Natural Resources Census: National land use and land cover mapping using multi-temporal AWiFS data. Technical report. National Remote Sensing Centre, Hyderabad, India, 2013.
- Reddy, C. S., Jha, C. S., Diwakar, P. G. and Dadhwal, V. K., Nationwide classification of forest types of India using remote sensing and GIS Environ. Monitor. Assess., 2015; doi: 10.1007/s10661-015-4990-8.
- Farr, T. G. et al., The shuttle radar topography mission. Rev. Geophys., 2007, 45, RG2004.
- https://earthdata.nasa.gov/data/near-real-time-data/firms/active-firedata
- Dawson, T. P., Butt, N. and Miller, F., The ecology of forest fires. ASEAN Biodiversity, 2002, 1, 18–21.
- IMD, 2014; http://www.imd.gov.in/doc/report2014.pdf (accessed on 2 April 2015).
- IMD, 2009; http://www.imd.gov.in/doc/warm2009 (accessed on 8 February 2013).
- FSI, State of Forest Report. Ministry of Environment and Forests, Government of India, 2013.
- Manhas, R. K., Negi, J. D. S., Kumar, R. and Chauhan, P. S., Temporal assessment of growing stock, biomass and carbon stock of Indian forests. Climatic Change, 2006, 74, 191–221.
- MoEF, National Biodiversity Action Plan, New Delhi, India, Ministry of Environment and Forests. Government of India, 2009.
- Srivastava, S. K., Saran, S., Rolf A. de By and Dadhwal, V. K., A geo-information system approach for forest fire likelihood based on causative and anti-causative factors. Int. J. Geographical Inf. Sci., 2014, 28(3), 427–454.
- Chuvieco, E. et al., Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecol. Modelling, 2010, 221, 46–58.
- Martínez, J., Vega-Garcia, C. and Chuvieco, E., Human-caused wildfire risk rating for prevention planning in Spain. J. Environ. Manage., 2009, 90, 1241–1252.
- Prasad, V. K., Badarinath, K. V. S. and Eaturu, A., Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India. J. Environ. Manage., 2007, 86(1), 1–13.
- Vadrevu, K. P., Eaturu, A. and Badarinath, K. V. S., Fire risk evaluation using multicriteria analysis – a case study. Environ. Modeling Assess., 2009. 166(1–4), 223–239.