manual on land use classification...

Japan International Cooperation Agency (JICA)

Oromia Irrigation Development Authority (OIDA)

Manual on Land Use Classification

Analysis Using Remote Sensing

May, 2014

The Project for Capacity Building in Irrigation Development (CBID)

Foreword Oromia Irrigation Development Authority (OIDA) is established on June, 2013, as a responsible body for all irrigation development activities in the Region, according to Oromia National Regional Government proclamation No. 180/2005. The major purposes of the establishment are to accelerate irrigation development in the Region, utilize limited resources efficiently, coordinate all irrigation development activities under one institution with more efficiency and effectiveness. To improve irrigation development activities in the Region, the previous Oromia Water Mineral and Energy Bureau entered into an agreement with Japan International Cooperation Agency (JICA) for “The Project for Capacity Building in Irrigation Development (CBID)” since June, 2009 until May, 2014. CBID put much effort to capacitate Irrigation experts in Oromia Region through several activities and finally made fruitful results for irrigation development. Accordingly, irrigation projects are constructed and rehabilitated based on that several Guidelines & Manuals and texts produced which can result in a radical change when implemented properly. Herewith this massage, I emphasize that from Now on, OIDA to make efforts to utilize all outputs of the project for all irrigation activities as a minimum standard, especially for the enhancement of irrigation technical capacity. I believe that all OIDA irrigation experts work very hard with their respective disciplines using CBID outputs to improve the life standard of all people. In addition, I encourage that all other Ethiopian regions to benefit from the outputs. Finally, I would like to thank the Japanese Government, JICA Ethiopia Office, and all Japanese and Ethiopian experts who made great effort to produce these outputs.

Feyisa Asefa Adugna General Manager

Oromia Irrigation Development Authority

Addis Ababa, Ethiopia May, 2014

Introductory Remarks “Growth and Transformation Plan” (GTP) from 2011 to 2015 intensifies use of the country’s water and other natural resources to promote multiple cropping, better adaptation to climate variability and ensure food security. Expansion of small scale irrigation schemes is given a priority, while attention is also given to medium and large scale irrigation.

In Oromia Region, it is estimated that there exists more than 1.7 million ha of land suitable for irrigation development. However, only 800,000 ha is under irrigation through Traditional and Modern irrigation technology. To accelerate speed of Irrigation Development, the Oromia National Regional State requested Japan International Cooperation Agency (JICA) for support on capacity building of Irrigation Experts under Irrigation Sector.

In response to the requests, JICA had conducted "Study on Meki Irrigation and Rural Development" (from September 2000 to January 2002) and Project for Irrigation Farming Improvement (IFI project) (from September 2005 to August 2008). After implementation of them there are needs to improve situation on irrigation sector in Oromia Region.

JICA and the Government of Ethiopia agreed to implement a new project, named “The project for Capacity Building in Irrigation Development” (CBID). The period of CBID is five years since June, 2009 to May, 2014 and main purpose is to enhance capacity of Irrigation Experts in Oromia Region focusing on the following three areas, 1) Water resources planning, 2) Study/Design/Construction management, 3) Scheme management through Training, On the Job Training at site level, Workshops, Field Visit and so on and to produce standard guidelines and manuals for Irrigaiton Development.

These guidelines and manuals (Total: fourteen (14) guidelines and manuals) are one of the most important outputs of CBID. They are produced as standards of Irrigation Development in Oromia Region through collecting different experiences and implementation of activities by CBID together with Oromia Irrigation Experts and Japanese Experts.

These guidelines and manuals are very useful to improve the Capacity of OIDA Experts to work more effectively and efficiently and also can accelerate Irrigation Development specially in Oromia Region and generally in the country.

Finally, I strongly demand all Irrigaiton Experts in the region to follow the guidelines and manuals for all steps of Irrigation Development for sustainable development of irrigation.

Adugna Jabessa Shuba D/General Manager & Head, Study, Design, Contract Administration & Construction Supervision

Oromia Irrigation Development Authority

Addis Ababa, Ethiopia May, 2014

Table of Contents

1. How to Download LANDSAT Imagery .............................................. 1

2. Creating Color Composite Imagery using ILWIS 3.4 ........................ 4

2.1 About Color Composite Imagery ................................................ 4

2.2 Setting up Software .................................................................. 7

2.3 Importing Downloaded LANDSAT Data ..................................... 7

2.4 Creating Color Composite Imagery .......................................... 10

2.5 Exporting Color Composite Imagery as GeoTiff Format ............ 12

3. Land Use Classification Analysis (Supervised Classification) ......... 14

3.1 About Supervised Classification .............................................. 14

3.2 Definition of Land Use Classification Item ............................... 15

3.3 Connecting to Folder .............................................................. 16

3.4 Displaying False Color Composite Imagery .............................. 17

3.5 Preparing Training Sample Data ............................................. 18

3.6 Arrangement of Training Sample Data .................................... 21

3.7 Evaluation of Training Sample Data ........................................ 22

3.8 Conducting Supervised Classification ..................................... 24

3.9 Modification of Classification Results ...................................... 28

3.10 Creating GIS Point Data using Field Survey Data .................... 38

4. Masking and Calculating Area ..................................................... 41

4.1 Masking ................................................................................. 41

4.2 Calculating Land Use Area ...................................................... 43

References…………………………………………………………………………...46

List of Authors/Experts/Editors/Coordinators……………………………..47

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1. How to Download LANDSAT Imagery

You can download LANDSAT satellite imageries at no charge through the some

websites.

Please try to download if you are interested in it!

(1) Access to the Global Land Cover Facility web site

(http://glcf.umiacs.umd.edu/index.shtml), and click “ESDI”.

(2) And then, click “Map Search”.

Manual on Land Use Classification Analysis Using Remote Sensing

Japan International Cooperation Agency (JICA) & Oromia Irrigation Development Authority (OIDA) The Project for Capacity Building in Irrigation Development (CBID)

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(3) Check the boxes “ETM+” and “TM”

(4) Click “Zoom In” icon on the Ethiopia country until you

can see the path and Row of LANDSAT scene.

(5) Click “Select” icon and select scene and click on it. The

clicked scene is selected. And then, click “Preview & Download”



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(6) List of selected data which can be downloaded is shown. And you

select a data what you want to download.

For instance, If you select ID=219-324, this record is highlighted and

then, click “Download”.

(7) After clicking “download”, each band of selected LANDSAT is listed

and you select one by one. After downloading, you need to

uncompress the file. Finally, you get the each band of LANDSAT data

as GeoTiff format.



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2. Creating Color Composite Imagery using ILWIS 3.4

2.1 About Color Composite Imagery

(1) LANDSAT ETM+

Basically, satellite data consists of several bands from visible to infrared

wave band. For instance, LANDSAT ETM+ data has eight (8) bands as

follows;

Band 1 to Band 3 are visible band, Band 4 is near infrared, Band 5 and

Band 7 are short wave infrared, Band 6 is thermal infrared and Band 8 is

panchromatic mode. And using visible bands and near infrared band,

some color composite imageries can be produced.

In Remote Sensing, there are three (3) kinds of color composite imagery,

such as “False Color Composite Imagery”, “Natural Color Composite

Imagery” and “True Color Composite Imagery”. And false color composite

imagery is often applied for the land use classification analysis because

this composite imagery contains the near infrared band. In addition, the

near infrared is very useful to identify the vegetation area. Therefore, the

false color composite imagery is widely used for the land use

classification. And the band assembly to produce the three (3) color

composite imageries is shown below.

Color Composite Red Green Blue

False Color Bnad 4 (N.I.) Band 3 (V.R.) Band 2 (V.G.)

Natural Color Band 3 (V.R.) Band 4 (N.I.) Band 2 (V.G.)

True Color Band 3 (V.R.) Band 2 (V.G.) Band 1 (V.B.)



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(2) SPOT 5 Data

SPOT 5 data can be purchased at EMA (Ethiopian Mapping Agency).

SPOT 5 has three (3) kinds of sensor, such as HRVIR-M, HRVIR-X and

VEGETATION. And resolution of each is 5m, 10m and 1km. Basically,

HRVIR-X data is used for the land use classification analysis if your study

area is not huge.

In case of using SPOT 5, the band assembly to create color composite

imageries is shown below. About true color composite imagery, it is

impossible to generate using HRVIR-X data because it does not have

Visible Blue band. However, in case of using VEGETAION data, it can be

generated.

Color Composite Red Green Blue

False Color Band 3 (N.I.) Band 2 (V.R.) Band 1 (V.G.)

Natural Color Band 2 (V.R.) Band 3 (N.I.) Band 2 (V.G.)

True Color Not Available (in case of HRVIR-X)

Band 3 (V.R.) Band 2 (V.G.) Band1 (V.B.)



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(3) Example of Color Composite Imagery

False Color

Composite

Natural Color

Composite

True Color

Composite



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2.2 Setting up Software

ILWIS is the software for Remote Sensing and one of the most

user-friendly integrated vector and raster software programs. It can be

taken from internet easily because it is free software.

2.3 Importing Downloaded LANDSAT Data

(1) Start up Ilwis software.

(2) Open the “Data Catalog Window”, click Window > New Catalog. And

find out the folder that Landsat data is saved, and then, select and

click OK.

(3) Finally, a data catalog window is generated in the software



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(4) Extract “Import / Export” in the Operation-Tree which is located on

the left-hand side of the window and double click “Import General

Raster”.

(5) First of all, “Import Format” is set as TIF, and select a file you want to

import. Finally, Output Filename is entered and ckick OK.



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(6) Three (3) files shown below are

generated in the Data Catalog

Window. And then, double click

“Raster Mapping” data (highlighted

file).

(7) This window will appear and click ok

(8) Finally, LANDSAT Band 4 data can be imported into ILWIL software



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(9) Repeat these steps from (4) to (8) for other bands.

2.4 Creating Color Composite Imagery

(1) Extract “Image Processing” in the Operation-Tree, and double click

“Color Composite”.

(2) In case of creating “False Color Composite Imagery”, Band 4 data is

allocated in Red Band, Band 3 data is allocated in Green Band and

Band 2 data is allocated in Blue Band. And then, Output Raster Map

is entered. Finally, click “Show”



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(3) Following window will appear and click OK

(4) Finally, the False Color Composite Image will be generated.



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(5) In case of creating “True Color Composite Imagery”, Band 3 is

allocated in Red Band, Band 2 is allocated in Green Band and Band 1

is allocated in Blue Band. And Finally, True Color Composite Imagery

shown below will be prepared.

2.5 Exporting Color Composite Imagery as GeoTiff Format

(1) Extract “Import/Export” and double click “Export”



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(2) Select a color composite imagery file, for instance

“p168r54_false_2005”. Tiff (GeoTiff). TIF format is chosen and enter

the output file name. And then, finally, click OK.



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3. Land Use Classification Analysis (Supervised Classification)

3.1 About Supervised Classification

A supervised classification is the most popular classification method in

Remote Sensing. The concept of the supervised classification is shown

below.

Basically, in the supervised classification method, the satellite image

data can be classified based on the statistical data of the training sample

data. And the procedures for supervised classification are as follows;

Definition of land use classification item

Preparation of training sample data

Arrangement of training sample data

Evaluation of training sampling data

Classification

Validation of the results of classification



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3.2 Definition of Land Use Classification Item

Before starting land use classification analysis, land use classification

items have to be define based on the characteristics of false color

composite imagery and true color composite imagery. Basically,

following land use classification items can be identified on the LANDSAT

ETM+ data.

Forest

Shrub / Bush

Farmland

Grassland

Bare land

Built-up area

Wetland

Water Body

Shrub

Forest

Water Body

Built-up area

Forest

Forest

Shrub

Farmland or

Grassland

Shrub

Grassland Water



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3.3 Connecting to Folder

(1) Start ArcMap application, Click “Start > All programs > ArcGIS >

ArcMap. Or double click the icon of ArcMap on your desktop.

(2) Click “Add Data” icon.

(3) Click “Connect to Folder” icon.

(4) Find the folder you saved false color composite imagery you prepared,

and select the folder. Finally, click “OK”.



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3.4 Displaying False Color Composite Imagery

(1) Click “Add Data” icon.

(2) Select the folder you saved false color composite imagery which was

connected.

(3) Select the file of false color composite imasery you want to display and

to classify. And click “Add“.



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(4) Finally, the false color composite imagery can be displayed

3.5 Preparing Training Sample Data

(1) Right click on the space of tool bars, and select “Image Classification”.

After that, Classification tool bar shown below will appear



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(2) Click the “Training sample manager” icon, and open it.

(3) Click the icon of “Draw training sample with polygon” and select

“Draw Polygon”.

(4) And create training sample data on the false color imagery in ArcMap.

After digitizing a training sample data, it will be add into the Training

Sample Manager. And then, you can change “Class Name”, “Value”

and “Color” here.



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(5) Repeat (3) and (4) to make other training sample data, such as

Farmland, Grassland, Wetland, Bare land, Built-up area, and Water

body etc.

If you want to remove the class name you created, select ID and

click “Delete” icon.

If it is very difficult to identify the land use category on the false color

composite imagery, it is recommended to use true color composite

imagery in parallel.



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3.6 Arrangement of Training Sample Data

(1) Basically, a few training sample data is required for a category, such

as Forest01 and Forest02, Water01 and Water02 and so on. And then,

after sampling the training data, the training sample data of same

category can be merged.

(2) Using Ctrl key, select the same class name and click

“Merge You can use “UP” and “Down” allow to gather same category.

(3) After merging the same class, a new merged class name will be

created.

(4) Repeat (3). Finally, merged land use classification items will be set up.

And finally, Class Names, Value and Color should be arranged

properly.



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3.7 Evaluation of Training Sample Data

(1) After arranging the training sample data, it is needed to evaluate the

results of training sample data.

(2) Select all the training data, and click the icon of

“Scatterplots”.

(3) If you find out some overlapped area between some category and some

category in the diagram of scatter plots, you should make sure the

target category. And using “Split” function, the merged class name is

divided into original number of classes, and then, you remove the

doubtful class and reselect again.

After Splitting



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(4) Finally, you finish the arrangement of all training sample data, using

“Interactive Supervised Classification”, tentative land use

classification imagery can be generated.

(5) And then, you can accept your results, the training sample data you

created should be saved by “Create signature file”.



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3.8 Conducting Supervised Classification

(1) Make sure to display the satellite imagery, such as LANDSAT False

Color Imagery, click “Classification” and select “Maximum Likelihood

Classification”

Following window will appear. Make sure “Input raster bands”, and select

“Input signature file” you saved, and then enter the “Output classified

raster”. Finally, click OK.



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(2) The land use classification imagery can be produced based on the

training sample data.

(3) Finally, “Type” is added to the attribute table of the above land use

classification imagery. Right-Click on the land use classification

imagery and select “Open Attribute Table”.



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Then, click “Table Options” of the appeared table and select “Add Field”.

“Add Field” table appears. Set “Type” on “Name” and “Text” on “Type”.

Then click “OK”.

“Type” field is added like below.



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After close the attribute table, select “Start Editing” on Editor Toolbar.

Following window appears. Select the land use classification imagery and

click “OK”.

After that, open the attribute table of the land use classification imagery

again and input the kinds of type on “Type” directly.



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Close the table, and then select “Save Edits” on Editor Toolbar. Finally,

select “Stop Editing”.

3.9 Modification of Classification Results

The procedure for modification of classified data is shown below.

Modification of Land Use Classification Data

Preparing Classified Raster Data

Converting from Raster to Polygon

Creating Shape files of Each Category

Modifying Each Shape File

Merging Modified Each Shape File

Dissolving Merged Shape File

Finish



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(1) After classifying, you need to convert the classified data from raster to

polygon.

(2) Open ArcToolbox.

(3) Extract “Conversion Tools” in ArcToolbox.

(4) And extract “From Raster”, double click “Raster to Polygon”.



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(5) “Input raster” is “classified imagery”, “Field” is “TYPE”, and Enter the

“Output polygon features”. And unchecked the box “Simplify polygons

(optional)”

(6) Finally, polygon file of land use classification data can be generated.

(7) After creating polygon classification data, the polygon data of each

category is generated using the function named “Select By Attributes”.



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(8) Click “Section > Select By Attributes”.

(9) Make sure your “Layer” and double click “TYPE” and click “=” and then

click “Get Unique Values” and select “Forest” and double click it.

Finally click OK.



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(10) After doing “Select By Attributes”, only forest features are selected.

(11) Select displayed classification data and right click > Data > Export

Data.



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(12) Click “Browse” bottom.

(13) Select your folder and enter output file name and make sure output

file type. It should be Shape file.

(14) Finally, shape file of forest area can be generated.



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(15) Next step is to change the data to other type. Use Editor tool bar and

click “Start Editing”.

(16) Select the data you need to edit and click OK.

(17) Create the area you want to modify using Select Features function.

And click “Select by Polygon”.



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(18) The features in the polygon area can be selected.

(19) After selecting the features to be modified, open the attribute table

and click the icon for “Show selected records”.

(20) And then, modify the type from forest to something.



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(21) After correcting the type, click “Save

Edits” and “Save Editis”.

(22) Repeat from (8) to (21) for another category, for instance, shrub,

farmland, grassland etc.

(23) After correcting the all categories, the all files have to be merged.

(24) Input the modified files and enter the output file name, and then

click OK.



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(25) After merging, the file should be conducted “Dissolve”.

Finally, dissolved classification data can be generated and it is easy for

you to calculate area of each category.



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3.10 Creating GIS Point Data using Field Survey Data

Land use classification data which is created using ArcGIS is better to

confirm by actual field survey with GPS to get more accuracy of land use

classification.

(1) In the field you measure x and y coordinates and the information you

collect in the field is described using field note shown below.

(2) After field survey for land use classification analysis, the surveyed

point can be imported into ArcGIS. And prepare the Excel sheet

contains, ID, X, Y and Type.



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(3) Display the false color imagery and classified polygon data in ArcMap.

And then, add the prepared Excel sheet in ArcMap.

(4) Select table layer and right click, select “Display XY Data”.

(5) Set up parameters as follows

X Field: X coordinate

Y Field: Y coordinate

Coordinate System: UTM Zone 37, WGS84

And then, click “OK”.



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(6) Finally, surveyed data in the field can be plotted on the false color

composite or classified data. And then, you can validate the classified

polygon data comparison to field survey data. And it will be possible to

modify the classified polygon data using “Editor” functions in ArcMap



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4. Masking and Calculating Area

4.1 Masking

The following procedure explains how to extract the land classification

data by the basin boundary you need.

(1) Display the false color imagery data (p168t54_false_2005.tif)

(2) Display the classified imagery data

(3) Display basin boundary data (watershed_kaleta_utm37.shp)

(4) Open ArcToolbox

(5) Extract “Spatial Analyst Tools“ > “Extraction“ and select “Extract by

Mask“



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(6) Input the concerned files, and finally, click OK.

Input raster is classified data,

Input raster of feature mask data is basin boundary data

Output raster is output file name

(7) After masking process, clipped data can be generated.



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4.2 Calculating Land Use Area

The way of calculating area of each type is as follows.

(1) Select layer and right click, and select “Open Attribute Table”.

(2) After opening the table, click “Table Options”.

(3) Click “Add Field”



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Enter the “Name”, select the “Type”, and define the “Precision”.

Name: Area_ha

Type: Long Integer

Precision: 20

(4) The new field named “Area_ha” is added into the table. And click on

the field name “Area_ha”, and then right click, select “Field Calculator”



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(5) After opening the dialog box shown below, double click “COUNT” in

the “Fields”, and then type “*900/10000”. “900/10000” means the size of 1 pixel. Finally click OK.

(6) Area of each category can be calculated automatically.



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References

1. Remote Sensing Note, Japan Association Remote Sensing, 1992



List of Authors

Name of Guidelines and Manuals Name Field Affiliation

Guideline for Irrigation Master Plan Study Preparation on Surface Water Resources

Mr. Nobuhiko Suzuki Water resources planning

Ministry of Agriculture, Forestry and Fisheries

Mr. Roba Muhyedin Irrigation Engineer OIDA Head Office

Manual for Runoff Analysis Mr. Yasukazu Kobayashi Runoff Analysis LANDTEC JAPAN, Inc.

Manual of GIS for ArcGIS (Basic & Advanced Section)

Mr. Ron Nagai GIS Application KOKUSAI KOGYO CO., LTD.


Mr. Kazutoshi Masuda Remote Sensing KOKUSAI KOGYO CO., LTD.

Guidance for Oromia Irrigation Development Project Implementation

Mr. Kenjiro Futagami Facility Design/Construction Supervision


Study and Design Technical Guideline for Irrigation Projects (Irrigaiton Engineering Part)

Mr. Naoto Takano Facility Design/ Construction Supervision


(Socio-Economy, Community, Financial and Economic analysis Part)

Mr. Tafesse Andargie Economist OIDA Head Office

(Agronomy and Soil Part) Mr. Abdeta Nate'a Agronomist OIDA Head Office

Technical Guideline for Design of Headworks

Mr. Motohisa Wakatsuki Head works design Sanyu Consultants Inc.

Technical Guideline for Small Scale Reservoir

Mr. Haruo Hiki Project Management/ Planning/Reservoir

Sanyu Consultants Inc.

Technical Guideline for Irrigation Canal and Related Structures



Construction Control Manual Mr. Yoshiaki Otsubo Construction Supervision (Bura SSSIP)

Tokura Corporation

Guidance for Preparation of Operation and Maintenance Manual

Mr. Kenjiro Futagami Facility Design/Construction Supervision


Irrigation Water Users Association Formation and Development Manual


Strengthening Irrigation Water Users Association (IWUA) Guideline

Mr. Yasushi Osato Strengthening of WUA

Nippon Koei Co.


Small Scale Irrigation Water Management Guideline (Irrigation Water Supply Part)

Mr. Yohannes Geleta Irrigation Engineer OIDA Head Office

(Field Irrigation Water Management Part)

Mr. Abdeta Nate'a Agronomist OIDA Head Office

Remarks: Affiliation is shown when he work for CBID project.

47Japan International Cooperation Agency (JICA) & Oromia Irrigation Development Authority (OIDA)

The Project for Capacity Building in Irrigation Development (CBID)


List of Experts who contributed to revise guidelines and manuals (1/5)

Office Name Specialty

OIDA Head office Mr. Abdeta Nate'a Agronomist

OIDA Head office Mr. Kibrom Driba Irrigation Engineer

OIDA Head office Mr. Kurabachew Shewawerk Agronomist

OIDA Head office Mr. Lemma Adane Irrigation Engineer

OIDA Head office Mr. Roba Muhyedin Irrigation Engineer

OIDA Head office Mr. Shemeles Tefera Agronomist

OIDA Head office Ms. Sintayehu Getahun Irrigation Engineer

OIDA Head office Mr. Tafesse Andargie Economist

OIDA Head office Mr. Tafesse Tsegaye Irrigation Engineer

OIDA Head office Mr. Tatek Worku Irrigation Engineer

OIDA Head office Mr. Teferi Dhaba Irrigation Engineer

OIDA Head office Mr. Terfasa Fite Irrigation Engineer

OIDA Head office Mr. Tesfaye Deribe Irrigation Engineer

OIDA Head office Mr. Yohannes Dessalegn Economist

OIDA Head office Mr. Yohannes Geleta Irrigation Engineer

OWMEB Mr. Girma Etana Irrigation Engineer

OWMEB Mr. Kedir Lole Irrigation Engineer

Arsi Mr .Dedefi Ediso Agronomist

Arsi Mr. Birhanu Mussie Irrigation Engineer

Arsi Mr. Dinberu Abera Sociologist

Arsi Mr. Hussen Beriso Economist

Arsi Mr. Mulat Teshome Surveyor

Arsi Mr. Segni Bilisa Agronomist

Arsi Mr. Shewngezew Legesse Irrigation Engineer



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Arsi Mr. Tamerwold Elias Irrigation Engineer

Arsi Mr. Tesfaye Gudisa Irrigation engineer

Arsi Mr. Teshome Eda'e Irrigation Engineer

Arsi Ms. Worknesh Kine Geologist

Bale Mr. Abboma Terresa Irrigation Engineer

Bale Mr. Abdulreshed Namo Irrigation Engineer

Bale Mr. Beyan Ahmed Economist

Bale Mr. Diriba Beyene Irrigation Engineer

Bale Mr. Firew Demeke Teferi Irrigation engineer

Bale Mr. Gosa Taye Debela Irrigation engineer

Bale Mr. Zeleke Agonafir Agronomist

Borena Mr. Dida Sola Irrigation Engineer

East Harerge Mr. Abdi Abdulkedar Irrigation Engineer

East Harerge Mr. Elias Abdi Irrigation Engineer

East Harerge Mr. Shemsedin kelil Irrigation Engineer

East Harerge Ms. Eskedar Mulatu Economist

East Shewa Mr. Andaregie Senbeta Economist

East Shewa Mr. Bekele Gebre Irrigation Engineer

East Shewa Mr. Dilibi ShekAli Sociologist

East Shewa Mr. Ejara Tola Agronomist

East Shewa Mr. Girma Niguse Irrigation Engineer

East Shewa Mr. Kebebew Legesse Irrigation Engineer

East Shewa Mr. Mulatu Wubishet Agronomist

East Shewa Mr. Tadesse Mekuria Agronomist



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East Shewa Ms. Tigist Amare Irrigation Engineer

East Shewa Mr. Zerfu Seifu Irrigation Engineer

East Welega Mr. Benti Abose Economist

East Welega Mr. Birhanu Yadete Agronomist

East Welega Mr. Dasalegn Tesema Economist

East Welega Mr. Gamachis Asefa Irrigation Engineer

East Welega Mr. Getachew Irena Agronomist

East Welega Mr. Kidane Fekadu Irrigation Engineer

East Welega Mr. Milikesa Workeneh Irrigation Engineer

East Welega Ms. Mulunesh Bekele Irrigation Engineer

East Welega Mr. Samson Abdu Irrigation Engineer

East Welega Mr. Tulam Admasu Irrigation Engineer

East Welega Ms. Yeshimebet Bule Economist

Guji Mr. Abadir Sultan Sociology

Guji Mr. Dawud Menza Irrigation Engineer

Guji Mr. Fikadu Mekonin Geologist

Guji Mr. Megersa Ensermu Irrigation Engineer

Guji Mr. Wandesen Bakale Economist

Horoguduru Welega Mr. Seleshi Terfe Economist

Horoguduru Welega Mr. Temesgen Mekonnen Irrigation Engineer

Horoguduru Welega Mr. Tesfaye Chimdessa Economist

Illubabor Mr. Ahmed Sani Irrigation Engineer

Jimma Mr. Lebeta Adera Irrigation Engineer

Kelem Welega Mr. Ayana Fikadu Agronomist



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Kelem Welega Mr. Megarsa Kumara Hydrologist

Kelem Welega Mr. Oda Teshome Economist

Northe Shewa Mr. Henok Girma Irrigation Engineer

South West Shewa Mr. Bedasa Tadele Irrigation Engineer

South West Shewa Mr. Gemechu Getachew Irrigation Engineer

West Arsi Mr. Abebe Gela Irrigation Engineer

West Arsi Mr. Demissie Gnorie Irrigation Engineer

West Arsi Mr. Feyisa Guye Irrigation Engineer

West Arsi Mr. Hashim Hussen Economist

West Arsi Mr. Jemal Jeldo Economist

West Arsi Mr. Mekonnen Merga Environmentalist

West Arsi Mr. Mohamedsafi Edris Irrigation Engineer

West Arsi Mr. Molla Lemesa Agronomist

West Arsi Mr. Tamene Kena Sociologist

West Arsi Mr. Tibaho Gobena Irrigation Engineer

West Harerge Mr. Alemayehu Daniel Agronomist

West Harerge Mr. Dereje Kefyalew Irrigation Engineer

West Harerge Mr. Ferid Hussen Irrigation Engineer

West Harerge Mr. Nuredin Adem Irrigation Engineer

West Harerge Mr. Seifu Gizaw Economist

West Shewa Mr. Jergna Dorsisa Irrigation Engineer

West Shewa Mr. Solomon Mengistu Agronomist

West Shewa Mr. Zerhun Abiyu Irrigation Engineer

West Welega Mr. Belaye kebede Irrigation Engineer



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West Welega Mr. Busa Degefe Economist

West Welega Mr. Temesgen Runda Irrigation Engineer

Ministry of Agriculture Mr. Amerga Kearsie Irrigation Engineer

Ministry of Agriculture Mr. Zegeye Kassahun Agronomist

Amhara Agriculture Bureau

Mr. Assefa Zeleke Economist

OWWDSE Mr. Damtew Adefris Irrigation Engineer

OWWDSE Mr. Demelash Mulu Irrigation Engineer

OWWDSE Mr. Teshoma Wondemu Irrigation Engineer

Latinsa SC. Mr. Aschalew Deme Irrigation Engineer

Latinsa SC. Mr. Daba Feyisa Agronomist

Metaferia Consulting Engineers

Mr. Getu Getoraw Irrigation Engineer


Mr. Hassen Bahru Sociologist


Ms. Nitsuh Seifu Irrigation Engineer

Remarks: Office Name is shown when he/she works for CBID project.



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List of Editors

Name of Guidelines and Manuals Name Field Affiliation

• Guideline for Irrigation Master Plan Study Preparation on Surface Water Resources

Mr. Ermias Alemu Demissie Irrigation Engineer Lecturer in Arba Minch University

Mr. Zerihun Anbesa Hydrologist Lecturer in Arba Minch University

• Technical Guideline for Design of Headworks

• Technical Guideline for Irrigation Canal and Related Structures

Mr. Ermias Alemu Demissie Irrigation Engineer Lecturer in Arba Minch University

Mr. Bereket Bezabih Hydraulic Engineer (Geo technical)

Lecturer in Arba Minch University

• Construction Control Manual Mr. Eiji Takemori Construction Supervision (Hirna SSIP)

LANDTEC JAPAN, Inc.

• Construction Control Manual Dr. Hiroaki Okada

Construction Supervision (Sokido/Saraweba SSIP)

Sanyu Consultants Inc.

• Construction Control Manual Mr. Shinsuke Kubo Construction Supervision (Shaya SSIP)

Independent Consulting Engineer


• Construction Control Manual Mr. Toru Ikeuchi

Chief Advisor/Irrigation Technology

JIID (The Japanese Institute of Irrigation and Drainage)


• Construction Control Manual Mr. Kenjiro Futagami

Facility Design/Construction Supervision


• All Guidelines and Manuals Mr. Hiromu Uno Chief Advisor/Irrigation Technology


• Manual for Runoff Analysis • Manual of GIS for ArcGIS

(Basic & Advanced Section) • Manual on Land Use

Classification Analysis Using Remote Sensing

Mr. Nobuhiko Suzuki Water resources planning


• Guidance for Oromia Irrigation Development Project Implementation

• Study and Design Technical Guideline for Irrigation Projects


• Technical Guideline for Small Scale Reservoir

• Construction Control Manual • Guidance for Preparation of

Operation and Maintenance Manual

• Irrigation Water Users Association Formation and Development Manual

• Strengthening Irrigation Water Users Association (IWUA) Guideline

• Small Scale Irrigation Water Management Guideline






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List of Coordinators

Name Field Affiliation

Mr. Ryosuke Ito Coordinator/Training Independent

Mr. Tadashi Kikuchi Coordinator/Training Regional Planning International Co.




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Contact Person

Mr. Yohannes Geleta (Irrigation Engineer; Environmentalist)

(Tel: 0911-981665, E-mail: [email protected]) Mr. Tafesse Andargie (Economist)

(Tel: 0911-718671, E-mail:[email protected]) Mr. Abdeta Nate'a (Agronomist)

(Tel: 0912-230407, E-mail: [email protected])

Oromia Irrigation Development Authority (OIDA) Tel: 011-1262245 C/O JICA Ethiopia Office Mina Building, 6th & 7th Floor, P.O.Box 5384, Addis Ababa, Ethiopia Tel : (251)-11-5504755 Fax: (251)-11-5504465

manual on land use classification...

Documents