Assessment of the Irrigation Capacity during the Dry Season Using Remote Sensing and Geographical Information (Case Study in the Binh Thuan Province, Vietnam)

Hien Thi Thu Le; Thang Nguyen Ngoc; Luc Hens

doi:10.4236/ijg.2015.611095

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International Journal of Geosciences > Vol.6 No.11, November 2015

Assessment of the Irrigation Capacity during the Dry Season Using Remote Sensing and Geographical Information (Case Study in the Binh Thuan Province, Vietnam) ()

Hien Thi Thu Le^1*, Thang Nguyen Ngoc¹, Luc Hens²

¹Institute of Geography, Vietnam Academy of Science and Technology (IG/VAST), Hanoi, Vietnam.
²Flemish Institute for Technological Research (VITO), Antwerp, Belgium.

DOI: 10.4236/ijg.2015.611095 PDF HTML XML 2,923 Downloads 3,456 Views Citations

Abstract

Today satellite system provides a main instrument supplying regular data on land inventory and monitoring of land use/land cover changes, in a timely manner. These data are keys to many applications in different sectors: environment, forestry, hydrology, irrigation, agriculture, geology, resource management and planning. Using Landsat image and change detection, this paper presents a method to extract changes of agricultural land, as the basis for the assessment and development of irrigation systems, which enhance production and protect land resources. During the period 1996-2014, the agricultural land in Binh Thuan decreased from 43.5% (in 1996) to 40.1% (February, 2014) of the total land surface in the province. However, the land area under cultivation tends to decrease rapidly, from 25.7% in 1996 to 14.0% in 2014. Combining the results of land use change and assessing the capacity of the irrigation systems show which areas are frequently irrigated versus those are not. This allows proposing irrigation development needs contributing to more production while protecting land resources.

Keywords

Land Use Change, Irrigation, Landsat, Vietnam

Share and Cite:

Le, H. , Ngoc, T. and Hens, L. (2015) Assessment of the Irrigation Capacity during the Dry Season Using Remote Sensing and Geographical Information (Case Study in the Binh Thuan Province, Vietnam). International Journal of Geosciences, 6, 1214-1220. doi: 10.4236/ijg.2015.611095.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	NASA (2014) Land Cover/Land Use Change Program. http://lcluc.umd.edu/program_information.php?tab=1
[2]	Prakasam, C. (2010) Land Use and Land Cover Change Detection through Remote Sensing Approach: A Case Study of Kodaikanal Taluk, Tamil Nadu. International Journal of Geomatics and Geosciences, 1, 150-158.
[3]	Ryngnga, P.K., Bring, B. and Ryntathiang, L. (2013) Dynamics of Land Use Land Cover for Sustainability: A Case of Shillong, Meghalaya. International Journal of Scientific & Technology Research, 2, 235-239.
[4]	SIC (2014) Satellite Imagery and GIS for Land Cover and Change Detection. http://www.satimagingcorp.com/applications/environmental-impact-studies/land_cover_and_change_detection/
[5]	Ozdogan, M., Yang, Y., Allez, G. and Cervantes, C. (2010) Remote Sensing of Irrigated Agriculture: Opportunities and Challenges. Remote Sensing, 2, 2274-2304. http://dx.doi.org/10.3390/rs2092274
[6]	Robert, C.N. (1997) An Inventory of Irrigated Lands for Selected Counties within the State of California Based on LANDSAT and Supporting Aircraft Data. University of California, Berkeley, Space Sciences Laboratory. http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19770024625.pdf
[7]	Heller, R.C. and Johnson, K.A. (1979) Estimating Irrigated Land Acreage from Landsat Imagery. Photogrammetric Engineering & Remote Sensing, 45, 1379-1386.
[8]	Haack, B., Wolf, J. and English, R. (1998) Remote Sensing Change Detection of Irrigated Agriculture in Afghanistan. Geocarto International, 13, 65-75. http://dx.doi.org/10.1080/10106049809354643
[9]	Thiruvengadachari, S. (1981) Satellite Sensing of Irrigation Patterns in Semiarid Areas: An Indian Study [Tamil Nadu State, India]. Journal of Photogrammetric Engineering and Remote Sensing, 47, 1493-1499.
[10]	Binh Thuan Statistical Office (2014) Statistical Yearbook Binh Thuan Province. http://cucthongke.vn/ngtk/ngtk2013/index.html#/8
[11]	USGS (2014) Earth Explorer. http://earthexplorer.usgs.gov/
[12]	Mas, J.F. (1999) Monitoring Land-Cover Changes: A Comparison of Change Detection Techniques. International Journal of Remote Sensing, 20, 139-152. http://dx.doi.org/10.1080/014311699213659
[13]	Congalton, R.G. (1991) A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37, 35-46. http://dx.doi.org/10.1016/0034-4257(91)90048-B
[14]	Viera, A.J. and Garrett, J.M. (2005) Understanding Interobserver Agreement: The Kappa Statistic. Family Medicine, 37, 360-363.
[15]	Hountondji, Y. and Ozer, P. (2011) Land Use and Land Cover Change Analysis 1990-2002 in Binh Thuan Province, South Central Vietnam. 1st International Conference on Energy, Environment and Climate Change.
[16]	Binh Thuan Province’s Committee (2005) Report on Drought and Others Remedial Measure to Support Farming. Department of Agriculture and Rural Development, Binh Thuan.
[17]	Huong, P.T.T. (2010) Scenarios of Climate Change and Drought in Binh Thuan Province. Report on the Project: Research on the Effects of Climate Change and Desertification South Central Region (Pilot Study Binh Thuan Province), Institute of Geography (VAST), Vietnam.