Land Resource Management Through GIS and Remote Sensing

Jyoti Jain Tholiya*
Marathwada Mitramandal’s College of Architecture (MMCOA), Pune, Maharashtra, India.
Periodicity:September - November'2019
DOI : https://doi.org/10.26634/jpr.6.3.16865

Abstract

Land use planning has been promoted as an important tool for sustainable use and management of land resources. Land use-Land cover classification is a fundamental dataset required in land use planning used by planners, legislatures, national, state and local planning agencies to overcome the problems such as uncontrolled development, haphazard growth, loss of agriculture land and deteriorating environmental quality. To make future action plans. This research paper focuses on conserving land resources to increase the welfare of the people through Geographic Information Systems (GIS) and Remote Sensing techniques. The current study proposes a Land Resource Action plan for arable land, wasteland, forest land and Hills. The alternative Land use systems have been recommended for different Land use-Land cover classes. The cropping pattern, improved agronomic practices, suitable crops, trees, and grasses have been suggested. For the development of forest, different soil-water conservation measures with afforestation of suitable species have been suggested as per land capability.

Keywords

GIS, Remote Sensing, Land Resource Management, Land use-Land cover classification, Soil Conservation, Water Conservation.

How to Cite this Article?

Tholiya, J. J. (2019). Land Resource Management Through GIS and Remote Sensing. i-manager’s Journal on Pattern Recognition, 6(3), 18-26. https://doi.org/10.26634/jpr.6.3.16865

References

[1]. Agriculture Organization of the United Nations. (1995). Planning for Sustainable Use of Land Resources: Towards a New Approach (No. 2). Food & Agriculture Organization of the UN (FAO).
[2]. Agriculture Organization of the United Nations. (1993). Guidelines for Land-use Planning (Vol. 1). Food & Agriculture Orgnization.
[3]. Cihlar, J. (2000). Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, 21(6-7), 1093-1114. https://doi.org/10.1080/01 4311600210092
[4]. Food and Agriculture Organisation of the United Nations - FAO. (1976). A Framework for Land Evaluation. FAO Soils Bulletin 32. Rome.
[5]. Foody, G. M. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185-201. https://doi.org/10.1016/S0034-4257(01) 00295-4
[6]. Hossain, H., Sposito, V., & Evans, C. (2006). Sustainable land resource assessment in regional and urban systems. Applied GIS, 2(3), 24.1-24.21. https://doi. org/0.2104/ag060024
[7]. Lillesand, T. M., Kiefer, R. W. and Chipman, J. W. (2008). Remote Sensing and Image Interpretation. New York: John Wiley and Sons.
[8]. McHarg, I. L. (1969). Design with Nature. New York: American Museum of Natural History.
[9]. Meyer, W. B., & Turner, B. L. (1992). Human population growth and global land-use/cover change. Annual Review of Ecology And Systematics, 23(1), 39-61.
[10]. Rindfuss, R. R., Walsh, S. J., Turner, B. L., Fox, J., & Mishra, V. (2004). Developing a science of land change: challenges and methodological issues. In Proceedings of the National Academy of Sciences,101(39), 13976- 13981. https://doi.org/10.1073/pnas.0401545101
[11]. Turner, B. L., Moss, R. H., and Skole, D. L. (1993). Relating Land Use and Global Land-Cover Change : A Proposal for an IGBM-HDP Core Project. International Geosphere-Biosphere Program, Stockholm, Sweden.
[12]. World Bank. (2017). Retrieved from https://data. worldbank.org/country/india)
[13]. Yang, F., Zeng, G., Du, C., Tang, L., Zhou, J., & Li, Z. (2008). Spatial analyzing system for urban land-use management based on GIS and multi-criteria assessment modeling. Progress in Natural Science, 18(10), 1279- 1284. https://doi.org/10.1016/j.pnsc.2008. 05.007
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.