Preamble: Spatial distribution of Natural Resources such as water, forests, arable land and even minerals; their availability and accessibility determines who gets them and who doesn’t. Proper understanding of their distribution can go a long way in enacting laws and policies that will ensure sound management, equitable sharing and environmental protection as we go about their exploitation. This understanding can only be achieved if their spatial distribution is properly documented visa viz morphological and demographic characteristics of the ground in which they appear. Remote Sensing and Digital Image Processing uses satellite Images which can help us capture large areas of the ground with its characteristic and features. The images can then be processed; the resources can be located on the images, digitized and compiled into GIS layers which will assist in their management.
This is a 10-day course and covers the following:
Open-source data and tools offer the possibility to monitor our planet in a spatial and temporal extent. RCMRD seeks to bring the requisite technical capabilities to member States so that they can harness these opportunities. This course has been prepared in that spirit.The Training will provide participants with the opportunity to develop crucial skills required for spatial data processing to address thematic challenges or any particular challenge of interest). Throughout the learning week participants will focus on developing skills in natural resource mapping using Earth Observation (EO)/Remotely Sensed (RS) data. Many different, complementary and sometimes overlapping tools will be presented to provide an overview of the existing arena of open source software available for spatial data processing. Participants are expected to gain knowledge from a series of lectures and practical sessions. It also provides a platform for the participants to communicate with experienced practitioners and industry experts as well as widen their professional networks.
Course Objectives
The training will equip participants with skills to access, process and analyze various open datasets using recent and up-to-date available tools. Most importantly, it will allow them to start using remote sensing data from the various platforms, with continuous practice during the learning week, participants will get more familiar with the EO data as well as developing competencies in areas, including;
Expected Outcomes
Requirements
Software
Duration:10 days
Fee Charges:USD 300
Preamble: This course provides an introduction and practices associated with digital cartography principles, concepts, software and hardware required to create good maps, particularly in GIS.
This is a 2-week course covering:
Preamble: GIS has become essential in decision making, planning, and management of multi-layered spatial database. GIS software used by RCMRD includes Open source QGIS and Commercial GIS (ArcGIS).
This is a 10-day course and covers the following:
Preamble: This course introduces the basics of radar remote sensing from the viewpoints of basic image capture theory and applications. Also, the course will introduce the fundamental concepts and techniques used in Light Detection and Ranging (LIDAR).
Roysambu, Kasarani
Nairobi, Kenya
+254 020 2680748 / 2680722
+254 723 786161 / +254 735 981098
P.O. Box 632-00618 Nairobi, Kenya
rcmrd@rcmrd.org
