GIS and Remote Sensing in Land Cover, Land Change Analysis Course

Event: GIS and Remote Sensing in Land Cover, Land Change Analysis Course

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 19th – 23rd February 2018.           

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INTRODUCTION

Land use and land cover change has become a central component in current strategies for managing natural resources and monitoring environmental changes. The advancement in the concept of vegetation mapping has greatly increased research on land use land cover change thus providing an accurate evaluation of the spread and health of the world’s forest, grassland, and agricultural resources has become an important priority. Viewing the Earth from space is now crucial to the understanding of the influence of man’s activities on his natural resource base over time. In situations of rapid and often unrecorded land use change, observations of the earth from space provide objective information of human utilization of the landscape. Over the past years, data from Earth sensing satellites has become vital in mapping the Earth’s features and infrastructures, managing natural resources and studying environmental change.

Participants will therefore acquire hands-on skills in use of Geographic Information System (GIS) and Remote Sensing as a tool to capture, store, analyze, manage, and visualize land cover/use change and analysis.

WHO SHOULD ATTEND?

Government workers in land departments, Students, agriculturist, urban and rural planners, environmentalist, professionals working in forest department, professionals working in disaster risk management and humanitarian, M&E expert, Data analyst engineers, Public health practitioners, epidemiologists, exposure scientists, quantitative health geographers, risk assessors, teachers among others.

COURSE DURATION

5 days

LEARNING OBJECTIVES

At the end of these sessions participants will learn to:

• To introduce general and advanced GIS and Remote Sensing in land use/ cover changes.
• To expose participants to Digital Image Processing with more emphasis on classification.
• To demonstrate case study of a selected regions using remote sensing software.
• To develop a sound basis for understanding the operation of GIS and Remote Sensing in Land use/cover change
• Display data in 3D Apply GIS to solve simple practical problems forestry
• Learn forest planning and management skill using remote sensing and GIS

TOPICS TO BE COVERED

• Introduction to GIS and Remote Sensing in land use/cover change
• Land cover/use change concepts and frameworks
• Drivers of land cover/use change
• Geo database Creation
• Satellite image data sources for land use land cover.
• Radiometric and geometric image correction
• Temporal normalization
• Imagery Geo-coding and geo-referencing
• Signature development
• Supervised Classification
• Unsupervised Classification
• Classification Accuracy assessment
• Assessment of spatial distribution of land resources
• Monitoring of infrastructure
• Monitoring dynamic changes in urban growth
• Trend Analysis for Land use
• Working with Google Maps and Fusion Tables
• Publishing into other web based platforms

Visit our website for more details

How to participate

• Tailor Make A Course
• Register as an Individual
• Register as a Group
• Become One of Our Partners.
• Purchase Software
• Frequently Asked Questions (FAQ’s)

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View GIS and Earth Observation Institute Course Catalogue

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 Email [email protected]

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected].

Mob: +254 715 077 817

Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 12th February 2018.

Send proof of payment to [email protected]

Others Details

TAILOR-MADE TRAINING This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our IRES Training Centre or at a convenient location.