Time Series Mapping and Monitoring of Agroforestry Area in Yamunanagar District of Haryana State Using Geospatial

Author:

Babu Bojja Harish1,Arya Sandeep1,Kumar K. E. Mothi2,Nanda Krishma1

Affiliation:

1. Choudhary Charan Singh Haryana Agricultural University

2. Haryana Space Applications Centre (HARSAC), CCS Haryana Agricultural University Campus

Abstract

Abstract

Diverse agroforestry practices are prevalent in different Agro-Climatic regions of India and occupies substantial area. In Northern India’s Indo-Gangetic plains, agroforestry activities with respect to (eucalyptus) Eucalyptus tereticornis and (poplar) Populus deltoides based practices are very dominant. These agroforestry systems not only satisfy the need for wood to Wood-based Industries, but also contribute significantly to employment generation and the reduction of atmospheric Carbon dioxide (CO2) vis-à-vis mitigating climate change. Mapping and monitoring agroforestry areas by using the LISS-III and LISS-IV Multispectral High Resolution Satellite Remote Sensing data in the Yamunanagar district of Haryana has been undertaken to develop an operational method in the present research. Supervised classification method was used for land use land cover analysis for the year 2010 and 2019 in which training sites for seven parameters viz, agroforestry (Poplar, Eucalyptus based), agriculture, plantations (Horticulture, Scrub plantations, miscellaneous plantations) water bodies, forest, buildups, riverbed areas were mapped and monitored. The maximum area was estimated under agroforestry systems i.e. 4.06 and 9.69 percent, which includes both poplar and eucalyptus based Agri-silviculture and boundary systems for the year 2010 and 2019 respectively. Agricultural land, forests and other plantations constitute about 73.56%, 11.08% and 1.96% in 2010 and 67.77%, 10.99%, 1.7% in the year 2019 respectively of total district area. The accuracy of the image classification was delineated based on the ground truth data collected from the Yamunanagar district by using GPS (Global Positioning System) and accuracy found in Agroforestry was 90%.

Publisher

Research Square Platform LLC

Reference13 articles.

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2. Ahmad T. Sahoo P.M. Jally S.K. (2016). Estimation of area under agroforestry using high resolution satellite data. Agroforestry System, 90(2): 289–303. Doi: 10. 1007.s10457-015-9854-2.

3. Champion H.G. Seth S.K. (1968). A revised survey of forest types of India, Government of India, New Delhi, India.

4. A review of assessing the accuracy of classifications of remotely sensed data;Congalton RG;Remote Sensing of Environment,1991

5. Continuous fields of vegetation characteristics at the global scale at 1 km resolution;DeFries RS;Journal of Geophysics Research,1999

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