References
[1]. Adam, A. H. M., Elhag, A. M. H., & Salih, A. M. (2013).
Accuracy assessment of Land Use and Land Cover
classification- case study of Shomadi area-Renk country-
Upper Nile, South Sudan. International Journal of
Scientific and Research Publications, 3(5), 1-6.
[2]. Anderson, J. R., Roach, J. T., & Witmer, R. E. (1976). A
Land Use and Land Cover Classification System for Use
with Remote Sensor Data (Vol. 964). U.S. Government
Printing Office.
[3]. Ardil, E. R., & Wolff, M. (2009). Land use and land cover
change affecting habitat Distribution in the Segara
Anakanlagoon, Java, Indonesia. Regional
Environmental Change, 9(4), 235-243.
[4]. Banko, G. (1998). A Review of assessing the accuracy
of classification of remotely sensed data and methods
including remote sensing data in forest inventor y.
International Institute for Applied Systems Analysis- Interim
Report, 1-36.
[5]. Barik, J., & Chowdhury, S. (2014). True mangrove
species of Sundarbans delta, West Bengal, Eastern India.
Check List, 10(2), 329-334.
[6]. CEGIS. (2006). Coastal Land Use Zoning in the Southwest:
Impact of Sea Level Rise on Land use Suitability and
Adaptation Options. Centre for Environmental and
Geographic Information Services (CEGIS), Dhaka.
[7]. Chatterjee, N., Mukhopadhyay, R., & Mitra, D. (2015).
Decadal Changes in Shoreline Patterns in Sundarbans,
India, Journal of Coastal Sciences, 2(2), 54-64.
[8]. Cornforth, W. A., Fatoyinbo, T. E., Freemantle, T. P., &
Pettorelli, N. (2013). Advanced land observing satellite
phased array type L-band SAR (ALOS PALSAR) to inform the
conservation of mangroves: Sundarbans as a case study. Remote Sensing, 5(1), 224-237.
[9]. Ellison, J. C., & Stodart, D. R. (1991). Mangrove
Ecosystem Collapse during Predicted Sea-Level Rise,
Holocene Analogues and implications. Journal of
Coastal Research, 7(1), 151-165.
[10]. Foody, G. M. (2002). Status of land cover
classification accuracy assessment. Remote Sensing of
Environment, 80(1), 185-201.
[11]. Giri, C., Zhu, Z., & Reed, B. (2005). A comparative
analysis of the Global Land Cover 2000 and MODIS land
cover data sets. Remote Sensing of Environment, 94(1),
123-132.
[12]. Haq, S. A. (2010). Impact of climate change on
Sundarbans, the largest mangrove forest: ways forward.
t h 18 Commonwealth Forestr y Conference 2010,
Edinburgh.
[13]. Kanga, S., Sharma, L. K., Pandey, P. C., Nathawat, M.
S., & Sinha, S. (2011). Geospatial approach for allocation
of potential tourism gradient sites in a part of Shimla
District in Himachal Pradesh, India. Journal of GIS Trends,
2(1), 1-6.
[14]. Kanga, S., Sharma, L. K., Pandey, P. C., Nathawat, M.
S., & Sharma, S. K. (2013). Forest fire modeling to evaluate
potential hazard to tourism sites using geospatial
approach. Journal of Geomatics, 7(1), 93-99.
[15]. Kanga, S., Sharma, L. K., Pandey, P. C., & Nathawat
M. S. (2014). GIS Modelling approach for forest fire risk
assessment and management. International Journal of
Advancement in Remote Sensing, GIS, and Geography,
2(1), 30-44.
[16]. Kanga, S., & Singh, S. K. (2017). Forest fire simulation
modeling using remote sensing & GIS. International
Journal of Advanced Research in Computer Science,
8(5), 326-332.
[17]. Mondal, I., & Bandyopadhyay, J. (2014). Coastal
zone mapping through geospatial technology for
resource management of Indian Sundarban, West
Bengal, India. International Journal of Remote Sensing
Applications, 4(2), 103-112.
[18]. Pachauri, R. K., & Reisinger, A. (2007). Climate
Change (2007): Synthesis Report. Contribution of Working
Groups I, II and III to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change. IPCC,
Geneva, Switzerland.
[19]. Pramanik, M. K. (2015). Changes and Status of
Mangrove Habitat in Ganges Delta: Case Study in Indian Part
of Sundarbans. Forest Research Open Access, 4(3), 1-7.
[20]. Raha, A. K., Mishra, A., Bhattacharya, S., Ghatak S.,
Pramanick P., Dey S., …. & Jha, C. (2014). Sea level rise
and submergence of sundarban islands: A time series
study of estuarine dynamics. Journal of Ecology and
Environmental Sciences, 5(1), 114-123.
[21]. Ranjan, A. K., Vallisree, S., & Singh, R. K. (2016a).
Role of Geographic information system and remote
sensing in monitoring and management of urban and
watershed environment: Overview. Journal of Remote
Sensing & GIS, 7(2), 1-14.
[22]. Ranjan, A. K., Anand, A., Vallisree, S., & Singh, R. K.
(2016b). LU/LC change detection and forest degradation
analysis in Dalma Wildlife Sanctuary using 3S Technology:
A case study in Jamshedpur-India. AIMS Geosciences,
2(4), 273-285.
[23]. Ranjan, A. K., Vallisree, S., Verma, S. K., Murmu, L., &
Kumar, P. B. S. (2017). Spatio-temporal variation in Indian
part of Sundarban Delta over the years 1990-2016 using
Geospatial Technology. International Journal of Geomatics
and Geoscience, 7(3), 275-292.
[24]. Roy, A. K. D., Alam, K., & Gow, J. (2011). A review of
the role of property rights and forest policies in the
management of the Sundarbans Mangrove Forest in
Bangladesh. Forest Policy and Economics, 15, 46-53.
[25]. Singh, S. K., & Pandey, A. C. (2014). Geomorphology
and the controls of geohydrology on waterlogging in
Gangetic Plains, North Bihar, India. Environmental Earth
Sciences, 71(4), 1561- 1579.
[26]. Sinha, S., Pandey, P. C., Sharma, L. K., Nathawat, M.
S., Kumar, P., & Kanga, S. (2014). Remote estimation of
land surface temperature for different LULC features of a
moist deciduous tropical forest region. In Remote Sensing
Applications in Environmental Research (pp. 57-68).
Springer, Cham.
[27]. Singh, S. K. (2016). Geospatial technique for land use/land cover mapping using multi-temporal satellite
images: A case study of Samastipur District (India).
Environment & We An International Journal of Science &
Technology, 11 (4), 75-85.
[28]. Singh, S. K., Kumar, V., & Kanga, S. (2017a). Land
use/land cover change dynamics and river water quality
assessment using geospatial technique: A case study of
Harmu river, Ranchi (India). International Journal of
Scientific Research in Computer Science and
Engineering, 5(3), 17-24
[29]. Singh, S. K., Mishra, S. K., & Kanga, S. (2017b).
Delineation of groundwater potential zone using
geospatial techniques for Shimla city, Himachal Pradesh
(India). International Journal for Scientific Research and
Development, 5(4), 225-234.
[30]. Thomas, J. V., Arunachalam, A., Jaiswal, R., Diwakar,
P. G., & Kiran, B. (2014). Dynamic Land Use and Coastline
Changes in active Estuarine Regions-A Study of Sundarban
Delta. The International Archives of Photogrammetry, Remote
Sensing and Spatial Information Sciences, 40(8), 133-139.
[31]. Wikramanayake, E. D., Dinerstein, E., Robinson, J.
G., Karanth, U., Rabinowitz, A., Olson, D., ... & Bolze, D.
(1998). An Ecology based method for defining priorities
for large mammal conservation: The tiger as case study.
Conservation Biology, 12(4), 865-878.
