Evaluation of Watershed Development Programme in Prakasam District of Andhra Pradesh Using Remote  Sensing and GIS Technology

P. Venkataram Muni Reddy; Kona Sasidhar; C. P. Reddy; R. V. Sagar Kumar Reddy; B. Janardhan Reddy

doi:10.9734/ijecc/2022/v12i121591

Research Article Open access CC BY 4.0

Evaluation of Watershed Development Programme in Prakasam District of Andhra Pradesh Using Remote Sensing and GIS Technology

P. Venkataram Muni Reddy, Kona Sasidhar, C. P. Reddy, R. V. Sagar Kumar Reddy, B. Janardhan Reddy

International Journal of Environment and Climate Change · pp. 1488–1496 · Published 31 Dec 2022

10.9734/ijecc/2022/v12i121591

Abstract

Aim: This study was taken up to investigate the usefulness of Remote Sensing & GIS tools for the evaluation of fourteen watershed projects implemented under the Pradhan Mantri Krishi Sinchayee Yojana (PMKSY) project in the Prakasam District of Andhra Pradesh. Place and Duration of Study: This study was conducted by Panchayat Raj and Rural Development Department, Andhra Pradesh2009 to 2022. Methodology: Remote Sensing based methodology is adopted through temporal satellite data for monitoring the watersheds. This research study was investigated using high-resolution data like Resourcesat-2, and LISS-IV of 2011 (pre-treatment) and 2016 (post-treatment)to assess the changes in land use/land cover and biomass that have changed within a period of five years (2011-16). Results: There is a significant reduction in fallow land area from 31727 ha to 23893 ha, which is attributed to dense and open vegetation categories in 2016. The output of the Normalized Difference Vegetation Index classification indicates the increase in dense vegetation from 16955 ha to 23256 ha, which indicates there is an improvement in the open vegetation category due to the reclamation of fallow land. Conclusion: This study reveals that an additional area of 419ha (07.53%) increased under water bodies and 2792ha of wasteland converted to cultivable land due to the construction of farm ponds, percolation tanks and check dams. This area is attributed to cropland and plantations.

Watershed remote sensing normalized difference vegetation index land use land cover

References (11)

1 Remote Sensing And Image Interpretation
2 Monitoring land-use change in the Pearl River Delta using Landsat TM [DOI]
3 Exploring spectral discrimination of grass species in African rangelands [DOI]
4 ENSO drought onset prediction in northeast Brazil using NDVI [DOI]
5 Remote sensing applications [DOI]
6 Prioritization of sub-watersheds for sustainable development and management of natural resources: An integrated approach using remote sensing, GIS and socio-economic data
7 Impact assessment of watershed management programmes on land use/land cover dynamics using remote sensing and GIS [DOI]
8 Land evaluation by integrating remote sensing and GIS for cropping system analysis in a watershed
9 Application of remote sensing technology for Impact Assessment of Watershed Development Programme [DOI]
10 Impact Analysis of Kurichedu PMKSY Watershed Project on Land Use, Water Resources, Crop and Livestock Productivity in Prakasam District, Andhra Pradesh, India [DOI]
11 Impact of Watershed Development Programmes on Livelihood Conditions of Farmers in Haryana [DOI]

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P. Venkataram Muni Reddy, Kona Sasidhar, C. P. Reddy, R. V. Sagar Kumar Reddy, B. Janardhan Reddy (2022). Evaluation of Watershed Development Programme in Prakasam District of Andhra Pradesh Using Remote Sensing and GIS Technology. International Journal of Environment and Climate Change , 1488–1496. https://doi.org/10.9734/ijecc/2022/v12i121591

Affiliations

P. Venkataram Muni Reddy — Panchayat Raj and Rural Development Department, Tadepalli, Guntur, Andhra Pradesh – 522 501, India.
Kona Sasidhar — Panchayat Raj and Rural Development Department, Tadepalli, Guntur, Andhra Pradesh – 522 501, India.
C. P. Reddy — Department of Land Resources, Govt. of India, New Delhi –110 011, India.
R. V. Sagar Kumar Reddy — Panchayat Raj and Rural Development Department, Tadepalli, Guntur, Andhra Pradesh – 522 501, India.
B. Janardhan Reddy — Panchayat Raj and Rural Development Department, Tadepalli, Guntur, Andhra Pradesh – 522 501, India.

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