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Remote Sensing and GIS based ecotourism planning: A case study for western Midnapore, West Bengal, India


Land use/land cover map: After extraction of the study area, stratified approach has been adopted to generate land use/ land cover output obtained from digital classification of IRS 1D LISS III data by supervised mode with maximum likelihood algorithm using necessary ground truth information . Information gathering site visits pertaining to landuse/landcover substantiated the training sets during remotely sensed image classification by MXL classifier. The map is shown in the Fig. 1.4 and landuse statistics is given in table 1.2. and Fig 1.4.1.





Table 1.2 Land Use/Land Cover Statistics Of The Study Area
S.N. LANDUSE CLASS Area (sq km) LANDUSE SUITABILITY
1 Dense forest 49.57 Highly important for ecotourism, can serve as main ecotourism attraction, area need to be conserved.
2 Open Forest 148.47 Very important for ecotourism, area needs to be managed and conserved properly to attract ecotourist as well as general tourist.
3 Degraded Forest 227.89 Need to be managed, properly with possibilities of new plantations. Important from point of view of medicinal plantations and agro-forestry scheme.
4 Cropped Area 487.69 Area under agriculture should not be converted to other schemes. Any infrastructure development should be restricted.
5 Agricultural fallow 657.33 It can be used fore agro-forestry scheme, land reclamation, for agricultural use or used for urban development.
6 Plantations 33.57 Plantation areas should be properly monitored and protected form and any encroachment.
7 Built up 27.91 Suitable for ecotourist Infrastructuredevelopment.
8 Wastelands 47.72 -do-
9 Water Bodies 15.02 Active Recreation as boating, park and natural zoological park.
10 Sandy areas 1.98 Not suitable.
  Total 1697.15  

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