GIS and Remote Sensing in Conservancy and Wildlife Management Course

6 years ago Posted By : User Ref No: WURUR15708 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Westlands, Nairobi, Kenya
  • Price
  • Date 18-12-2017 - 22-12-2017
GIS and Remote Sensing in Conservancy and Wildlife Management Course, Westlands, Nairobi, Kenya
Training or Development Class Title
GIS and Remote Sensing in Conservancy and Wildlife Management Course
Event Type
Training or Development Class
Training or Development Class Date
18-12-2017 to 22-12-2017
Last Date for Applying
11-12-2017
Location
Westlands, Nairobi, Kenya
Organization Name / Organize By
Indepth Research Services Limited
Organizing/Related Departments
GIS, Remote Sensing and Earth Observation Institute
Organization Type
Organization
Training or Development ClassCategory
Technical
Training or Development ClassLevel
International
Related Industries

Education/Teaching/Training/Development

Fresher/Trainee/Professionals

OTHERS

Location
Westlands, Nairobi, Kenya

Event. GIS and Remote Sensing in Conservancy and Wildlife Management Course

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 18th - 22nd December 2017.         

NITA CERTIFIED

RECENT CLIENTS

INTRODUCTION

Geographic Information Systems (GIS) involve collecting/capturing, storing, processing, manipulating, analyzing, managing, retrieving and displaying geo-referenced data. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. Wildlife management requires reliable and consistent information on the abundance, distribution of species and their habitats as well as threats. Therefore, the application of remote sensing (RS) and geographic information system (GIS) in the wildlife management and conservation aids in data collection and analysis of wildlife abundance, their distribution as well as providing data suitable for conservation planning and management.

DURATION

5 days

TRAINING OBJECTIVES

  • To introduce participants to the principles of GIS and Remote Sensing
  • To introduce participants to concepts of wildlife management and conservation
  • To expose participants to data capture, input, manipulation and display by GIS
  • To introduce participants to GPS/GNSS systems
  • To explain to the participants GIS database requirement and development for wildlife management and conservation
  • To introduce participants to the application GIS and Remote Sensing techniques in wildlife management and conservation
  • To develop sound basis of understanding applications of GIS and RS in Wildlife management and conservation through case studies

TOPICS TO BE COVERED

This course reviews the application of remote sensing and GIS techniques in wildlife management and conservation under the following themes:

  • Introduction and definitions of key concepts
  • GIS data management
  • Mapping
  • Analysis and Monitoring using GIS and remote sensing
  • Public participation and mobile data gathering

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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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.

ACCOMMODATION

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

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 11th December 2017.

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.

Registration Fees
Available
Registration Fees Details
USD 1100
Registration Ways
Email
Phone
Website
Address/Venue
  Indepth Research Services, Westlands, Nairobi, Kenya.  Pin/Zip Code : 00101
Official Email ID