LU/LC Development in Semi-arid Tropics: Large-Scale Wasteland Mapping for Sustainable Development - A case study of Achampet Mandal, Mahaboobnagar Dist, AP, India
Methodology
2.4 Wasteland database generated:
2.4.1 Category-wise wasteland status of achampet mandal
| Sr. No. |
Wasteland Category |
Area |
% to total Geographical area (in hectares) |
| 1 |
Degraded Forest |
1423 |
6.34 |
| 2 |
Land Affected by salinity |
43.7 |
0.2 |
| 3 |
Stony Waste/Sheet Rock Area |
458.7 |
2 |
| 4 |
Upland with or without Scrub |
1473.5 |
6.6 |

Total wasteland in the mandal: 3398.9 hectares (15.13% of total geographical area)
The study area has four categories of wastelands e.g. degraded forest, land affected by salinity, stony waste/sheet rock area and upland with or without scrub. In total 15.13% of the total geographical area of the mandal, is covered with wastelands. “Degraded Forest” and “land with or without scrub” cover 6.34% and 6.6% of the total geographical area respectively and together contribute 85.22% of the total wastelands in the mandal. It is for the first time that “land affected by salinity” has been spotted in the area under study. It is seen in a spatial domain that wastelands are mostly concentrated towards north-eastern, central and western parts of the study area. But in all instances it is observed that wastelands are present far from settlements except few patches of “Upland with or without scrub”. A large patch of degraded forest is observed in northeastern part of the study area, which has good surface water potential. It can be an ideal case to take up reclamation activities.
2.4.2 Village-wise wasteland status of achampet mandal
| S. No. |
Village name |
Total Area |
Wasteland |
% to total Geographical Area(in hectares) |
| 1 |
Siddapur |
3279 |
1230.5 |
37.8 |
| 2 |
Singaram |
912.3 |
139.9 |
15.3 |
| 3 |
Chennaram(Sabak) |
345.8 |
17.5 |
5 |
| 4 |
Chandapur |
1047.2 |
133.4 |
12.7 |
| 5 |
Hajipur |
880 |
214.2 |
24.3 |
| 6 |
Puljal |
1678.2 |
151.3 |
9 |
| 7 |
Ainol |
3139.2 |
519 |
16.5 |
| 8 |
Nadimpalle |
1859.5 |
230.0 |
12.8 |
| 9 |
Lingotam |
866 |
56.3 |
6.8 |
| 10 |
Bramhanpalli |
724.3 |
56.2 |
8.29 |
| 11 |
Palkapalli |
1051.2 |
103.9 |
9.9 |
| 12 |
Achampet |
1189.5 |
87.2 |
7.3 |
| 13 |
Rangapur |
1393.9 |
187.9 |
13.5 |
| 14 |
Bolghatpalle |
687.5 |
86.5 |
12.6 |
| 15 |
Tangapur |
417 |
34 |
8.2 |
| 16 |
Lakshmapur |
987.8 |
85.9 |
8.7 |
| 17 |
Gumpanapalla |
940 |
29.3 |
3.1 |
| 18 |
Chautapalle |
1020 |
35.5 |
3.5 |
Data on wasteland status has been generated for all the 18 villages lying in the study area. The extent of different wastelands in each village limit have been identified, mapped and calculated. The generated statistics shows that village Siddapur has maximum wasteland under its limits i.e. 1230.5 hectares which forms 37.8% of its total geographical area. Similarly village Chennaram possesses 17.5 hectares of wasteland forming 5% of its total geographical area. Large portions of Siddapur, Hajipur, Nadimpalle and Ainol lie under wastelands. Siddapur possesses a large patch of degraded forest, where as other three villages have large sections of “Upland with or without scrub”.
The study also includes mapping at sub-watershed level as well as micro-watershed level. The mapped details, being available at sufficiently large-scale were plotted on a cadastral base. The integrated map showed wasteland patches on a back-drop of individual land parcels.