JAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002 
  
    
    
  
    
  
     
  
   
    
  
  
  
  
  
  
  
   
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
y inducing * 1,20,849.00 sq. kms. in Jammu & Kashmir is not mapped SUB CATEGORIZATION OF WASTELANDS 
/ involving and hence not considered for calculating the percentage. Part of Udayagiri Taluk. mms Sam 
kward and 
livelihood Table 7: Category-Wise Wastelands Of India (Area in ha.) WASTELAND MAP SUB CATEGORY MAP 
ms Land without scrub (B2E) 
[EE] Land with/without scrub — serub = 
S.No. Category Total | % to TGA mm Ion reete cov 
rategies are Wastelands| covered EE cure J Tu 
um BEBE see eon) 
1 Gullied and/or Ravinous land | 2055335 0.65 EEE pian ws seize) 
ification of Me orm mr scie sn 
zation is to 
2 Land with or without scrub | 19401429 6.13 
v economic 
generation 3 |Waterlogged and Marshy land | 1656845 0.52 
juired. y. 
ha.) 4 Land affected by 2047738 0.65 Figure 5 
salinity/alkalinity- 
L. % to coastal/inland The database generated under the NWIP project are being sub 
taie oral categorized as per the above requirement. The latest satellite 
| geog : data is also being consulted for this purpose (Figure 5). 
ten 5 Shifting Cultivation Area 3514220 1.11 Government of India, MRD initiated ambitious programme of 
watershed / wastelands development in India since early 
)19 18.81 nineties through government departments, NGO's, co- 
- 6 Under utilised/degraded 14065231 4.44 operative societies etc. To assess the impact of these 
25 21.88 notified forest land programmes wastelands monitoring using latest satellite data is 
17 25.52 being taken up by MRD. 
55 12.08 7 |Degraded pastures/grazing land| 2597891 0.82 CONCLUSIONS 
27 16.57 
: Recent advances in satellite sensor spectral, spatial and 
28| 21.95 $ |Degraded land under plantation| 582809 0.18 radiometric capabilities have strengthened the operational 
08 8.45 Crop scenario of remote sensed based land use / land cover analysis 
on different scales / levels. Land use cover change (LUCC) 
)00| 56.87 9 Sands-Inland/Coastal 5002165 1.58 information at National and global scale is also very important 
D4| 6455 for modeling the global environmental changes. Proposed 
: sensors on board ISRO's new satellites to be launched in next 
28| 10.87 10 | Mining/Industrial wastelands | 125213 0.04 two years such as a AWiFS (60 m, 4 visible - NIR Channels 
and 5 day repeat cycle) and LISS-IV (5.8 m pixel, 3 visible 
318 3.73 NIR channels) on Resourcesat will substantially improve the 
375 15.72 11 j|Barren rocky/stony waste/sheet| 6458477 2.04 capability to generate LUCC information at Nation, regional 
r rock area and local scales. Availability of population and other socio- 
208 17.38 economic data at village level, every 10 year interval, will 
enable to integrate the LUCC information with socio- 
362; 58.00 12 Steep sloping area 765629 0.24 economic data for better understanding the driving forces for 
138| 44.16 13 | Snow covered and/or glacial | 5578849 | 1.76 land use changes. 
168| 19.31 area 
a Total Wasteland Area 63851831 20.17 ACKNOWLEDGEMENTS 
171 13.71 Source: 1:50,000 scale wasteland maps prepared from The author is thankful to all the team members of Nationwide 
142 Landsat Thematic Mapper / IRS LISS II / III Data Land Use / Cover mapping for Agro-Climatic Zone Planning 
840 : Project and NWIP project from NRSA and different 
911 30.87 collaborating agencies for their contribution to the project and 
sharing of results and experiences that are described in this 
958| | 50.30 paper. 
603 12.17 
390 17.70 
280 13.17 
848 6.44 
430 5.23 
831 20.17 
  
  
  
545