Your search found 11 records
1 Rao, K. H. V. D.; Hariprasad, V.; Roy, P. S.. 2001. A suitable site – Remote sensing and Geographical Information Systems identify 18 suitable sites for rainwater harvesting structures in a watershed of the Song river at Bandal, Uttaranchal. In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.243-245.
Remote sensing ; GIS ; Water harvesting ; Rain ; Rivers ; Watersheds ; Groundwater ; Recharge ; Water balance ; Runoff / India / Uttaranchal / Bandal / Song River
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030651)
2 Chandrashekhar, M. B.; Singh, S.; Roy, P. S.. 2003. Geospatial modelling techniques for rapid assessment of phytodiversity at landscape level in western Himalayas, Himachal Pradesh. Current Science, 84(5):663-670.
Remote sensing ; Land use ; Biodiversity ; Ecosystems ; Mapping / Asia / India / Himalayas / Himachal Pradesh
(Location: IWMI-HQ Call no: P 7186 Record No: H036381)
3 Biradar, Chandrashekhar; Saran, S.; Raju, P. L. N.; Roy, P. S.. 2005. Forest canopy density stratification: how relevant is biophysical spectral response modelling approach? Geocarto International, 20(1):15-21.
(Location: IWMI-HQ Call no: IWMI 634.9 G635 BIR Record No: H036362)
4 Roy, P. S.; Padalia, H.; Chauhan, N.; Porwal, M. C.; Gupta, S.; Biswas, S.; Jagdale, R. 2005. Validation of geospatial model for biodiversity characterization at landscape level: A study in Andaman and Nicobar Islands, India. Ecological Modelling, 185:349-369.
Biodiversity ; Mapping ; Models ; Regression analysis ; Data Collection ; Analysis / India / Nicobar Islands / Andaman Islands
(Location: IWMI-HQ Call no: P 7488 Record No: H038256)
5 Nagabhatla, Nidhi; Roy, P. S.; Jagdale, R. 2006. Evaluating the change (1968-2001) in landscape pattern and analyzing disturbance in Baratang Forest Division (Andaman Islands), South East Asia. GIS Development, 2(32). 8p.
Remote sensing ; Climate change ; Forest ecology ; Environmental effects ; Ecosystems ; Land use / South East Asia / Andaman Islands / Baratang Forest
(Location: IWMI-HQ Call no: IWMI 577.3 G637 NAG Record No: H038991)
6 Nagabhatla, Nidhi; Roy, P. S.. 2007. Measuring landscape parameters: Fragmentation, disturbance and biological richness in Baratang Islands (Andaman) for estimating landscape structure, human and environment interlinkages. International Journal of Ecology and Development, 7(S07):22-35.
Ecosystems ; Ecology ; Biodiversity ; Monitoring ; Models / South East Asia / India / Andaman Islands / Nicobar Islands / Baratang Forest
(Location: IWMI-HQ Call no: IWMI 577 G637 NAG Record No: H038992)
7 Chauhan, Nidhi; Padalia, H.; Porwal, M. C.; Roy, P. S.. 2005. Assessing the diversity of the Sphaeropteris albo-setacea (Bedd.) Tryon (tree fern) in Great Nicobar Island. Indian Journal of Forestry, 28(3):255-260.
(Location: IWMI-HQ Call no: P 7569, IWMI 587.3 G635 CHA Record No: H039069)
8 Nagabhatla, Nidhi; Roy, P. S.. 2006. Modeling the distribution of Pterocarpus dalbergioides (Padauk) at landscape level using a geospatial approach, in Andaman- Bay Islands – South Asia. In Dayawansa, N. D. K. (Ed.). Geoinformatics for Environmental Conservation and Management: Third National Symposium on Geoinformatics, Sri Lanka, 25 August 2006. Peradeniya, Sri Lanka: Geo-Informatics Society of Sri Lanka. pp.35-43.
Pterocarpus dalbergioides ; Environmental effects ; Models ; Remote sensing ; Forests / South Asia / Andaman Islands / Baratang Island
(Location: IWMI-HQ Call no: IWMI 634.9 G637 NAG Record No: H039099)
9 Roy, P. S.; Joshi, P. C.; Murthy, C. S.; Kishtawal, C. M. 2006. Geoinformatics for drought assessment. In Samra, J. S.; Singh, G.; Dagar, J. C. (Eds.). Drought management strategies in India. New Delhi, India: Indian Council of Agricultural Research. Natural Resource Management Division. pp.23-60.
Drought ; Monitoring ; Assessment ; GIS ; Rain ; Soil moisture ; Satellite surveys ; Simulation models / India / USA / Latin America / Caribbean
(Location: IWMI HQ Call no: 577.22 G635 SAM Record No: H040117)
10 Nagabhatla, Nidhi; Roy, P. S.; Jagdale, R. 2007. Monitoring spatial distribution of commercial rattans and palms in the tropical forest of Baratang Islands (Andaman and Nicobar Islands) Indian Journal of Traditional Knowledge, 6(4):630-635.
Forest products ; Arecaceae ; Cane ; Bamboos ; Remote sensing ; Maps / South East Asia / Andaman Islands / Nicobar Islands / Baratang Islands
(Location: IWMI HQ Call no: IWMI 333.75 G800 NAG Record No: H040451)
Tropical forests are diverse and highly productive of all existing ecosystems. The need of the hour is to protect them from the devastating effect of development. The initiative requires not only assessment of the change in vegetation pattern over years but continuous monitoring of associated diversity as well. Since, the extraction activities in the islands are under check in the existing management policies, the economic upliftment has switched over to the non-forest timber products (NNTP’s) (mainly canes and bamboos). The study proposes to foreground the islands having maximum cane diversity and have spotlight a comparative account of distribution in different parts of Andaman & Nicobar Islands. The potential use of remote sensing is highly promising and the study is an approach for multidisciplinary assessments. The study is carried out in the tropical forests of Baratang Forest Division, Andaman Islands for the estimation of rattan and cane resources. The study has aimed to highlight the areas having dense growth of NTPF’s using spatial analysis. Distribution pattern of Licula peltata, a palm of high commercial importance has also been analysed. It also attempts to prepare map for the region highlighting areas of high rattan diversity using IRS IC LISS-III data. The necessary set of attributes at a resolution sufficient for monitoring the distribution of rattan species in the islands is also described. A vegetation cover type map was prepared and the ground details were integrated to establish a correlation between the upper storey and the under storey forms.
11 Roy, P. S.; Behera, M. D.; Murthy, M. S. R.; Roy, A.; Singh, S.; Kushwaha, S. P. S.; Jha, C. S.; Sudhakar, S.; Joshi, P. K.; Reddy, S.; Gupta, S.; Pujar, G.; Dutt, C. B. S.; Srivastava, V. K.; Porwal, M. C.; Tripathi, P.; Singh, J. S.; Chitale, V.; Skidmore, A. K.; Rajshekhar, G.; Kushwaha, D.; Karnatak, H.; Saran, S.; Amarnath, Giriraj; Padalia, H.; Kale, M.; Nandy, S.; Jeganathan, C.; Singh, C. P.; Biradar, C. M.; Pattanaik, C.; Singh, D. K.; Devagiri, G. M.; Talukdar, G.; Panigrahy, R. K.; Singh, H.; Sharma, J. R.; Haridasan, K.; Trivedi, S.; Singh, K. P.; Kannan, L.; Daniel, M.; Misra, M. K.; Niphadkar, M.; Nagabhatla, N.; Prasad, N.; Tripathi, O. P.; Prasad, P. R. C.; Dash, P.; Qureshi, Q.; Tripathi, S. K.; Ramesh, B. R.; Gowda, B.; Tomar, S.; Romshoo, S.; Giriraj, S.; Ravan, S. A.; Behera, S. K.; Paul, S.; Das, A. K.; Ranganath, B. K.; Singh, T. P.; Sahu, T. R.; Shankar, U.; Menon, A. R. R.; Srivastava, G.; Sharma, N. S.; Mohapatra, U. B.; Peddi, A.; Rashid, H.; Salroo, I.; Krishna, P. H.; Hajra, P. K.; Vergheese, A. O.; Matin, S.; Chaudhary, S. A.; Ghosh, S.; Lakshmi, U.; Rawat, D.; Ambastha, K.; Malik, A. H.; Devi, B. S. S.; Gowda, B.; Sharma, K. C.; Mukharjee, P.; Sharma, A.; Davidar, P.; Raju, R. R. V.; Katewa, S. S.; Kant, S.; Raju, V. S.; Uniyal, B. P.; Debnath, B.; Rout, D. K.; Thapa, R.; Joseph, S.; Chhetri, P.; Ramachandran, R. M. 2015. New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities. International Journal of Applied Earth Observation and Geoinformation, 39:142-159. [doi: https://doi.org/10.1016/j.jag.2015.03.003]
Satellite imagery ; Remote sensing ; Vegetation ; Climate change ; Temperature ; Precipitation ; Scrublands ; Grasslands ; Ecology ; Global positioning systems ; Land cover ; Assessment ; Cultivation / India
(Location: IWMI HQ Call no: e-copy only Record No: H047008)
(2.48 MB)
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. Weused 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in).
Powered by DB/Text WebPublisher, from
