Remote Sensing and GIS in Hydrology and Water Resource Management and Development

The primary aim of this summer school based training is to create a unique opportunity for the Center’s PhD candidates and staff in the form of capacity building scheme to enhance the contribution of remote sensing and GIS for water resource management and development application in Ethiopia.

Date: December 23-28, 2019

Location: African Center of Excellence for Water Management, Addis Ababa University

Time: Monday-Saturday: 9:00AM-5:00PM

Instructor: Assefa M. Melesse

E-mail: melessea@fiu.edu

COURSE DESCRIPTION: The course will acquaint students with the application of remote sensing principles and geospatial analysis to water resources. Remote sensing based analysis as well as vector and raster GIS will be used to analyze and model watershed processes. Various concepts of remote sensing techniques, sensors and platforms, electromagnetic spectrums, sensors and atmospheric interactions, image noises, image pre and post processing, atmospheric and radiometric corrections, image enhancement, image classification, interpretation, land-cover change detection and accuracy assessment as applied to water resources management and natural resources mapping and analysis will be covered. Grid-based input data preparation, watershed delineation, flow analysis, routing, overland and channel flow estimation and hydrograph development will be covered. Modeling water quality in a GIS environment will be covered. The use of GIS and remote sensing in spatially distributed watershed analysis, mapping and modeling will be presented using lectures, exercises and individual project.

COURSE OBJECTIVES: The primary aim of this summer school based training is to create a unique opportunity for the Center’s PhD candidates and staff in the form of capacity building scheme to enhance the contribution of remote sensing and GIS for water resource management and development application in Ethiopia. More specifically, this training is important to promote the use of remote sensing and GIS technologies and applications in order to:

  • Understand remote sensing and GIS concepts and principles for water resource management and development programme in Ethiopia;
  • Perform radiometric and geometric image correction to classify images, generate information and perform classification validation analysis;
  • Apply remote sensing and GIS technologies to understand components of the different hydrologic cycle such as precipitation, basin/watershed/catchment characterization, evapotranspiration, soil moisture, surface water, soil erosion, water quality and quantity analysis;
  • Acquire spatial data and create hydrologic input parameters from remotely-sensed data for hydrologic modeling;
  • Understand modeling protocols in geospatial hydrology;
  • Understand and use geospatial statistics in watershed analysis; and analyze spatial flow and learn runoff routing techniques

Benefits and Broader Impact of the Training
This training will increase and improve Ethiopian experts and researcher’s capability in the area of remote seining and GIS application for water resource management and development programme.

Training Organizer
African Center of Excellence for Water Management, Addis Ababa University

Lead Trainer:
Assefa Melesse, Florida International University

Contents of the Training:
The following contents shall be covered during the training.
Contents of the Training:
The following contents shall be covered during the training.


Day         

                   Topics /exercises

Materials/lectures

Day 1

Morning

 

Remote sensing concepts and principles: Energy source, EM radiation; Radiation and atmospheric interaction; Active and passive; Air-borne and space-borne; Earth  Resources mapping and weather satellites; Types of sensor resolutions: spectral, radiometric; spatial and Temporal

Lec.1

 

Day 1

Afternoon

Sensors, Satellites: Resources mapping and weather satellites

Introduction to ERDAS Imagine, an Image processing software

Geometric correction, Image visualization, enhancement

Lec 2

Exercise 1

Day 2

Morning

Vegetation Applications – Agriculture, Forestry, and Ecology: NDVI and Fractional Vegetation Cover mapping

Lec. 3

Exercise-n 2

 

Day 2

Afternoon

Processing and Classification of Remotely Sensed Data; Pattern Recognition; Approaches to Data/Image Interpretation, Classification accuracy assessment

Lec. 4

Exercise-n 3

Day 3

Morning

Urban and Land Use Applications: Impervious surface area mapping

Lec. 5

 

Day 3

Afternoon

Precipitation: Sensors, platforms and rainfall products, validation and comparison

Lec. 6

 

Day 4

Morning

Evapotranspiration (ET) modeling

Empirical techniques

Soil water balance

Surface energy balance, remote sensing based ET

Lec. 7

Exercise-n 4

Day 4

Afternoon

Storm runoff modeling

Concept of excess rainfall

Interception, infiltration

RS in Runoff Estimation

Lec. 8

Exercise-n 5

Day 5

Morning

Introduction to Hydrology, Hydrological cycles,  processes and water balance, Spatial water balance concept,

Water balance of Lake Tana

Lec.9

Exercise-n 6

Day 5

Afternoon

Spatial analysis using grids

Terrain analysis using grid Land-cover, soils, hydrometeorological, 30-m ASTER DEM for Ethiopia

Raster GIS and Geospatial data analysis

 

Lec. 10

Exercise-n 7

Day 6

Morning

ArcHydro  functions overview

Watershed and stream network delineation

Sink filling,

stream burning,

Flow direction,

flow accumulation

Contributing area and stream network

Flow length

Watershed delineation

 Model Builder

Lec. 11

Exercises-n  8a and 8b

Day 6

Afternoon

Soil erosion and water quality issues

Soil erosion mapping using GIS

Lec. 12

Exercise-n 9

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