Download!eBook – Economic importance of trees

Application of remote sensing and GIS in micro-watershed management -Part 4

Return to Part 1Part 2, Part 3, Part 4

Landuse map of Kaligad catchment

Table -4

Area distribution on the basis of landuse classes

Sl No. Landuse Area in hectares
1 Agriculture land 478.659
2 Dense Forest 548.937
3 Medium Forest 380.061
4 Open Forest 281.40
5 Scrub 134.021
6 River 21.606

TOTAL

1844.37

Table no.-5

Area distribution on the basis of Erosion classes

Sl No. Erosion Class Area in hectares
1 Slight 1062.07
2 Moderate 259.433
3 High 141.981
4 Very High 389.068
TOTAL 1844.37

Conclusion

In this report, the  emphasis was given on following points-

1) By using RS and GIS techniques, a microwatershed basic inventory was prepared in form of maps and text.

2) Six thematic layers of the study area such as aspect, slope, landuse, altitude, forest density, erosion class were generated using Satellite Digital Data.

3) On the basis of slope, landuse, altitude, forest density the study  area has been categorized into 4 erosion classes.

4) Total area of the micro watershed is 1844.37 ha., which is divided into 4 classes of erosion susceptibility-

a) Slight erosion- 57.58 %

b) Moderate erosion – 14.07 %

c) High Erosion -7.70 %

d) Very high Erosion – 21.11 %

5) Area covered under high and very high erosion classes should be considered on priority for management interventions to control erosion by applying soil conservation measures, gap filling etc.

Return to Part 1Part 2, Part 3, Part 4

Author’s Bio

Raghu RaiRaghu Ranjan Rai is a Forestry (GIS) post-graduate and is presently a Manager Forestry Operations and GIS in S & P Energy Solutions PLC Ethiopia (SP Group Mumbai). His primary area of interest is GIS mapping and Forestry operations. Contact him at- raghufri09(at)gmail(dot)com

3 Comments

Add a Comment

Your email address will not be published. Required fields are marked *