Determination of Irrigated Field Units in North Al-Jazeera Irrigation Project Using Remote Sensing Data

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Khansa A. Ahmed


This paper presents the role of digital image processing (DIP) for the investigation of
effectively and actually irrigated areas through the signature of vegetative growth; The
techniques of digital image processing for remotely sensed images including subsetting,
enhancement, stacking, and vegetation index calculation determining the real irrigated areas in
NorthAl-jazeera irrigation project. Landsat ETM+ (Enhanced Thematic Mapper) images were
obtained, which captured in 7/4/1999, 3/6/2000, 13/6/2001 and 19/4/2002. ERDAS IMAGINE
9.1 software was used for the purposes of digital image processing and for Normalized
Difference Vegetation Index calculation (NDVI).The study showed the planted and not planted
field units and the level of vegetative growth from NDVI values.

Article Details



- Lillesan T.M., Kiefer R.W, 1990. Remote

Sensing and Image Interpretation. John

Wiley & Sons Inc., New York.

- Kumar D. Nagesh, 2008: Satellite

Remote Sensing for Irrigation

Management. Civil Engineering

Department. Indian Institute of Science,


- NEDECO 1982: North Jazeera Irrigation

Project. Final planning report.

- Adary, A., Hachum, A., Oweis, T., and

Salkini, A.2002: Wheat Productivity

Under Supplemental Irrigation In

Northern Iraq, ICARDA, Aleppo (Syria),

AGRIS: International Information System

for the Agricultural Sciences and


- Ghallab A. 2007: GIS and RS in Water

Engineering. Mini course Series, General

Organization Of Remote Sensing, Syrian

Arab Republic, GORS.

- Hoffer, R.M., 1976: Spectral Reflectance

Characteristics of Vegetation, In

"Fundamentals Of Remote Sensing",

Mini course Series, Purdue University,

West Lafayette, IN.

- Bakker, W.H, and others,2004: Principles

of Remote Sensing, An introductory

textbook, The International Institute forGeo-Information Science and Earth

Observation (ITC), Hengelosestraat 99,

P.O. Box 6, 7500 AA Enschede, The


- Richards,J.A. and Xiuping Jia,2006:

Remote Sensing Digital Image Analysis,

th Ed. Sipringer-Verlag Berlin

Heidelberg, Germany, 86p.

- Winter, D., 2003 : Using Normalized

Difference Vegetation Index (NDVI) as an

Indicator of Cheatgrass

(Bromustectorum) Infestations in Skull

Valley, Utah Applied Remote Sensing,

FRWS 5750 December 8, 2003. DOI:

- Steven M. De Jong., 2004: Remote

Sensing Image Analysis: Including The

Spatial Domain Springer Science +

Business Media, Inc. New York.,168 P.

- Mark Dougherty, Colin Kraucunas,

JenVerwest, 2001: Remote Sensing

Techniques Using ArcView 3.2 and

ERDAS Imagine 8.4. CEE 4984/5984

GPS/RS Applications in CEE May 1,

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