Current Science

Open Access Open Access  Restricted Access Subscription Access

Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India


Affiliations
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, India
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, India
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, India
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, India
 

In the present study, agroforestry was mapped in nine districts from Western Himalayan Region. The agroforestry area in these nine selected districts was estimated to be 332127.55 ha (12.4%). Salix alba, an important agroforestry species, accounted for about 12% of total agroforestry area in three districts of Kashmir valley

Keywords

Agroclimatic Zone, Agroforestry Mapping, Object-Oriented Classification, Remote Sensing, Tree Species.
User
Notifications
Font Size

  • Bargali, S. S., Bargali, K., Singh, L., Ghosh, L. and Lakhera, M. L., Acacia nilotica based traditional agroforestry system: effect on paddy crop and management. Curr. Sci., 2009, 96, 581–587.

  • Parihaar, R. S., Bargali, K. and Bargali, S. S., Status of an indigenous agroforestry system: a case study in Kumaun Himalaya. Indian J. Agric. Sci., 2015, 85, 442–447.

  • Unruh, J. D. and Lefebvre, P. A., A spatial database for estimating areas for agroforestry in Sub-Saharan Africa: aggregation and use of agroforestry case studies. Agrofor. Syst., 1995, 32, 81–96.

  • Pathak, P. S., Pateria, H. M. and Solanki, K. R., Agroforestry systems in India: a diagnosis and design approach. National Research Centre for Agroforestry (ICAR), New Delhi, 2000.

  • Dhyani, S. K., Handa, A. K. and Uma, Area under agroforestry in India: an assessment for present status and future perspective. Indian J. Agrofor., 2013, 315(1), 1–11.

  • GoI, Report of the Task Force on Greening India for Livelihood Security and Sustainable Development, Planning Commission, Government of India, 2001, p. 231.

  • Zomer, R. J., Trabucco, A., Coe, R., Place, F., van Noordwijk, M. and Xu, J. C., Trees on farms: an update and reanalysis of agroforestry’s global extent and socio-ecological characteristics. Working Paper 179. World Agroforestry Centre (ICRAF) Southeast Asia Regional Programme, Bogor, Indonesia, 2014; doi:10.5716/ WP14064.pdf

  • De Mers, M. N., Fundamental of Geographic Information Systems, Wiley, New York, USA, 1997, p. 486.

  • Rizvi, R. H., Dhyani, S. K., Newaj, R., Saxena, A. and Karmakar, P. S., Mapping extent of agroforestry area through remote sensing: issues, estimates and methodology. Indian J. Agrofor., 2013, 15(2), 26–30.

  • Rizvi, R. H., Ram Newaj, A. K., Handa, K. B., Sridhar and Anil Kumar, Agroforestry mapping in India through geospatial technologies: present status and way forward. Technical Bulletin-1/2019, ICAR-Central Agroforestry Research Institute, Jhansi, 2019, pp. 1–35.

  • Rizvi, R. H., Sridhar, K. B., Handa, A. K., Singh, R. K., Dhyani, S. K., Rizvi, J. and Dongre, G., Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic plains. Agrofor. Syst., 2020, 94(6), 2185–2197.

  • Rizvi, R. H., Newaj, R., Srivastava, S. and Yadav, M., Mapping trees on farmlands using OBIA method and high resolution satellite data: a case study of Koraput district, Odisha. In ISPRSGEOGLAMISRS International Workshop on Earth Observations for Agricultural Monitoring, IARI, New Delhi, 18–20 February 2019.

  • Barrile, V. and Bilotta, G., An application of remote sensing: objectoriented analysis of satellite data. Int. Arch. Photogramm. Remote Sensing Spat. Inf. Sci., 2008, XXXVII, 107–113.

  • Shah, M., Masoodi, T. H., Khan, P. A., Wani, J. A. and Mir, S. A., Vegetation analysis and carbon sequestration potential of Salix alba plantations under temperate conditions of Kashmir, India. Indian For., 2015, 141(7), 755–761.

  • Rizvi, R. H., Sridhar, K. B., Handa, A. K., Chaturvedi, O. P. and Singh, M., Spectral analysis of Hyperion hyperspectral data for identification of mango (Mangifera indica) species on farmlands. Indian J. Agrofor., 2017, 19(2), 61–64.

  • Blaschke, T., Lang, S. and Hay, G. J. (eds), Object Based Image Analysis, Springer, Berlin, Germany, 2008, p. 817.


Abstract Views: 301

PDF Views: 161




  • Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India

Abstract Views: 301  |  PDF Views: 161

Authors

R. H. Rizvi
ICAR-CSSRI Regional Research Station, Lucknow 226 005, India
R. Vishnu
ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
A. K. Handa
ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
S. Ramanan
ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
M. Yadav
ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
A. Mehdi
ICAR-Central Agroforestry Research Institute, Jhansi 284 003, India
R. K. Singh
World Agroforestry, South Asia Regional Programme, New Delhi 110 012, India
S. Londhe
World Agroforestry, South Asia Regional Programme, New Delhi 110 012, India
S. K. Dhyani
World Agroforestry, South Asia Regional Programme, New Delhi 110 012, India
J. Rizvi
World Agroforestry, South Asia Regional Programme, New Delhi 110 012, India
Punam
Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, India
Rameshwar Kumar
Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, India
Naved Qaisar
Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, India

Abstract


In the present study, agroforestry was mapped in nine districts from Western Himalayan Region. The agroforestry area in these nine selected districts was estimated to be 332127.55 ha (12.4%). Salix alba, an important agroforestry species, accounted for about 12% of total agroforestry area in three districts of Kashmir valley

Keywords


Agroclimatic Zone, Agroforestry Mapping, Object-Oriented Classification, Remote Sensing, Tree Species.

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi10%2F1347-1351