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Nandy, S.
- Plant Richness Modelling in South Gujarat Using Remote Sensing and Geographic Information System
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Indian Forester, Vol 139, No 9 (2013), Pagination: 757-768Abstract
The paper presents a geospatial modelling approach for the assessment of plant richness in south Gujarat using a two-tier approach i.e., satellite image (Resourcesat-1) for vegetation type/land use mapping, landscape analysis, and the plant richness modelling on 1:50,000 scale. The study showed that nine vegetation types viz., teak mixed dry and moist deciduous forest, mangrove forest, mangrove scrub, riverain forest, ravine thorn forest, forest plantation, degraded forest and Prosopis juliflora scrub respectively. The largest area is occupied by teak mixed dry deciduous forest by 14.98 per cent. The overall accuracy was found to be 87.78 per cent. The plant richness map, generated using SPLAM software, showed three levels of plant richness. The vegetation type-wise plant richness assessments were also calculated. It was observed that 55.97 per cent of forests area had under high plant richness, rest of the area falls under low, medium and very high categories. The district-wise plant richness was also calculated.Keywords
Plant Richness Modeling, Remotesensing, Landscape, Vegetation Type/land Use.
- Presence of Niobian Rutile and its Exsolution Phases in Rare Element Pegmatite of Belamu Area, Purulia District, West Bengal
Abstract Views :187 |
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Authors
Affiliations
1 Central Petrological Laboratories, Geological Survey of India, Kolkata, IN
1 Central Petrological Laboratories, Geological Survey of India, Kolkata, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 74, No 3 (2009), Pagination: 296-298Abstract
No Abstract.References
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- SOM, S.K., BANDOPADHYAY, K.C. and PRASAD, R.K. (2007) Cesium enrichment and resource evaluation in aplite and pegmatite at the southern slope of Belamu Hill, Purulia District, West Bengal. Jour. Geol. Soc. India, v.70, pp.273-281.
- SOM S.K., BANDOPADHYAY K.C., BASU S.K., SANTRA, D.K. and GHOSH, R.N. (2002) Li-Cs-Rb mineralization in Proterozoic zoned pegmatites of Beku, West Bengal. Jour Geol. Soc. India, v.60, pp.493-503.
- Rapid Assessment of Recent Flood Episode in Kaziranga National Park, Assam Using Remotely Sensed Satellite Data
Abstract Views :282 |
PDF Views:118
Authors
Affiliations
1 Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
1 Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
Source
Current Science, Vol 111, No 9 (2016), Pagination: 1450-1451Abstract
Flooding is considered as the most damaging natural hazard. Continuous population growth associated with changes in land use and climate exacerbates flood hazard, and makes livelihood more precarious. A large part of Assam, a state of northeastern India, experiences devastating flood frequently. The Brahmaputra river, along with its distributaries and tributaries in Assam, causes flood in the monsoon season each year which affects agriculture, human life and properties, wildlife, etc.Full Text
References
- Kushwaha, S. P. S., Kalra, M. and Sahi, S., Mapping of Kaziranga Conservation Area, Project Report, IIRS/FED/Kaziranga/36/ 8026/2008.
- Ghosh, S. et al., Mar. Geod., 2015, 38(suppl), 597–613.
- Sridevi, T., Sharma, R., Mehra, P. and Prasad, K. V. S. R., Remote Sensing Lett., 2016, 7(4), 348–357.
- NRSC flood report; http://www.nrsc.gov.in/assam_floods_july_2016 (accessed on 7 August 2016).
- Xu, H. Q., Int. J. Remote Sensing, 2006, 27, 3025–3033.
- Frappart, F., Calmant, S., Cauhope, M., Seyler, F. and Cazenave, A., Remote Sensing Environ., 2006, 100(2), 252–264.
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- Forest Cover Monitoring and Prediction in A Lesser Himalayan Elephant Landscape
Abstract Views :230 |
PDF Views:74
Authors
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
Source
Current Science, Vol 115, No 3 (2018), Pagination: 510-516Abstract
We have monitored the forest cover depletion in parts of Assam and Arunachal Pradesh over an area of 42,375 km2 in an elephant landscape falling in the Lesser Himalaya, North East India and report the results here. The US Army topographic maps (1924) and multi-date satellite images (1975, 1990, 2000 and 2009) were visually interpreted on-screen for post-classification comparison and forest cover change detection. The exercise showed continuous high loss of forest cover during the study period. A land area having 17,846.27 km2 forest in 1924 was depleted to 12,514.56 km2 by 1975, 11,861.75 km2 by 1990, 10,808.92 km2 by 2000 and 10,256.58 km2 by 2009, thereby indicating a constant decrease in forest cover by 12.59%, 1.54%, 2.48% and 1.31% respectively. The total loss in forest cover was estimated to be about 7590 km2 from 1924 to 2009. The Cellular Automata Markov Model has predicted a further likely decrease of 9007.14 km2 by 2028. In general, more districts of Assam than Arunachal Pradesh and more plains than hills faced deforestation. We have identified increasing human population and subsequent demand on the land for cultivation as major reasons for forest cover depletion.Keywords
Change Detection, Deforestation, Elephant Landscape, North East India, Satellite Images.Full Text
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