Impact Assessment of Watershed Programme Through Remote Sensing and Geographical Information System

Journal of the Indian Society of Remote Sensing

Volumn 40, Issue 4, 2012, Pages 619-628

  Shanwad, U K ^a   Gowda, H Honne ^b   Prabhuraj, D K ^b   Reddy, K Ashoka ^b   Lxmikanth, B P ^b  

^a UNIVERSITY OF AGRICULTURAL SCIENCES   (India)

^b Karnataka State Remote Sensing Applications Center   (India)

Author keywords

GIS; Land use land cover; Monitoring and impact assessment; Natural resources; NDVI; Remote sensing; Watershed

Indexed keywords

AGRICULTURAL PRACTICE; COST-BENEFIT ANALYSIS; GIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IRRIGATION SYSTEM; LAND COVER; LAND USE; MAP; NATURAL RESOURCE; NDVI; REMOTE SENSING; SATELLITE DATA; SCRUB; VIGOR; WATERSHED;

BIJAPUR; INDIA; KARNATAKA; SINDAGI;

EID: 84869496545     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-011-0170-7     Document Type: Article

References (20)

1. Agnihothri, J., Mittal, S. P., Grewal, S. S., & Mishra, F. R. (1986). Economic evaluation of water resources development in shivalik foothills-a case study. Indian Journal of Soil Conservation, 14(3), 7-14.
2. Anonymous (1998). Monitoring and evaluation of watersheds in Karnataka using satellite remote sensing. Technical Report, ISRO-NNRMS-TR-98, pp. 5-22.
3. Arun, Y. S. (1998). Economic evaluation of watershed development-a case study of Kuthanagera micro watershed in Karnataka. PhD thesis, UAS, Bangalore, India.
4. Dueker, K. J., & Kjerne, D. (1989). Multipurpose cadastre terms and definitions (pp. 122-127). Falls Church: American Society of Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping.
5. Inoue, Y., Morinaga, S., & Shibayame, M. (1993). Non-destructive estimation of water status on intact crop leaves based on spectral reflectance measurements. Japan Journal of Crop Science, 62, 462-469.
6. Jaiswal, R. K., Saxena, J., & Mukherjee, S. (1994). Application of remote sensing technology for land use / land cover change analysis. Journal of Indian Society of Remote Sensing, 27(2), 123-128.
7. Kachhwah, T. S. (1990). Supervised classification approach for assessment of forest resources in part of U. P. plains, India using landsat-3 data. Journal of Indian Society of Remote Sensing, 18(1&2), 9-14.
8. Kallur, M. S. (1991). Socio-economic impact of Muchkulnal watershed development project, Gulbarga district, Karnataka-a case study of pattern village. Indian Journal of Agricultural Economics, 46(3), 314-317.
9. Kant, Y., & Badarinath, K. V. S. (1989). Regional and evapotranspiration estimation using satellite derived albedo and surface temperature. Journal of Indian Society of Remote Sensing, 26(3), 129-134.
10. Lillesand, M. T., & Kiefer, W. R. (2000). Remote sensing and image interpretation. New York: Wiley. ISBN No. 0-471-57783-9.
11. Liu, W. T., & Negron Juarez, R. I. (2001). ENSO drought onset prediction in north-east Brazil using NDVI. International Journal of Remote Sensing, 22, 3483-3501.
12. Lu, D., Mausel, P., Batistella, M., & Moran, E. (2003). Comparison of land-cover classification methods in the Brazilian Amazon basin, Proceedings of ASPRS Annual Conference, May 2003, Anchorage, Alaska.
13. Patel, N. R., Mehta, A. N., & Shekh, A. M. (2001). Canopy temperature and water stress quantification in rainfed pigeonpea (Cajanus cajana L.). Agriculture and Forest Meteorology, 109, 614-621.
14. Randhir, O., & Ravichandran, M. (1991). Economic analysis of watershed management in Anakatti region of Coimbatore district through national perspective. Indian Journal of Agricultural Economics, 46(3), 301-307.
15. Rao, B. R. M., Rao, P. V. N., Thimmappa, S. S., & Fyzee, M. A. (1998). ERS-1 SAR response and land features and its suitability for soil moisture estimation presented at the first European conference on space week, November 22-27, 1998, Singapore.
16. Sabins, F. F. (2000). Remote sensing principles and interpretations. New York: W. H. Freeman and Company.
17. Schmidt, K. S., & Skidmore, A. K. (2001). Exploring spectral discrimination of grass species in African range lands. International Journal of Remote Sensing, 22, 3421-3434.
18. Seto, K. C., Wood Cock, C. E., Song, S., Hung, X., Lu, J., & Kautmann, R. K. (2002). Monitoring of land use change in the Pearl River Delta using landsat TM. International Journal of Remote Sensing, 23(10), 1985-2004.
19. Singh, K., Sandhu, H. S., & Singh, N. (1989). Socio-economic impact of Kandi watershed and area development project in Punjab. Indian Journal of Agricultural Economics, 44(3), 282-283.
20. Wentzel, K. (2002). Determination of the overall soil erosion potential in the Nsikazi district (Mpumalanga Province, South Africa) using remote sensing and GIS. Canadian Journal of Remote Sensing, 28(2), 322-327.