This training manual has been developed with support from the Australian
government via funding provided through their Artisanal and Small-scale Mining for
Development project being implemented by Charles Darwin University. This project
has been run and the material for this manual developed in collaboration between
three universities in Eastern Indonesia and Australia 1) Charles Darwin University
(Darwin), 2) UNDANA University (Kupang) and 3) Haluoleo University (Kendari –
South East Sulawesi).
Versions of this manual have been published in both Indonesian and
English, and made available for distribution online through a creative
commons Attribution-Non-Commercial-Share Alike license. This
license lets others remix, tweak, and build upon your work non-commercially, as long
as they credit you and license their new creations under the identical terms.
References
Fisher, R., Hobgen, S. et al. (2017, in press). Free satellite imagery and digital
elevation model analyses enabling natural resource management in the developing
world: case studies from Eastern Indonesia Singapore Journal of Tropical
Geography.
Conrad, O. et al., (2015). System for Automated Geoscientific Analyses (SAGA) v.
2.1.4. Geoscientific Model Development, 8, pp.1991–2007.
What will you learn
The aim of this manual is to provide a basic overview of functions within SAGA GIS
that enable applications in two key areas important for evidence-based natural
resource management. They are (1) satellite-based mapping and monitoring, and (2)
terrain analysis and hydrological modelling. The manual is divided up into the
following sections:
Quick start: This section is designed to enable you to jump into SAGA so
you can become familiar with its layout and functionality. You will learn here
how to import satellite imagery, elevation and other forms of GIS data. You
will also visualise landscapes in 3D and ‘fly’ through satellite imagery.
GIS Concepts: This section describes fundamental concepts and
terminology used when referring to map data. For example, what is GIS,
what is spatial data, what types of spatial data there are. You will also learn
about how data is displayed in a GIS, how satellites collect earth images
and elevation data, and how you can access them free on-line
Terrain Analysis: This section will introduce basic concepts in terrain
analysis and how to prepare elevation data for hydrological analysis. SAGA
enables the creation of multiple terrain layers which can be used for a
broad range of ecological modelling, disaster risk, catchment function and
agricultural applications. You will be surprised how easy it is and how much
useful landscape information you can produce using SAGA and one data
layer – Elevation.
Working with Landsat/Sentinel 2 Data: The Landsat satellite provides an
incredibly powerful archive of earth imagery for the whole globe going back
many decades. Landsat is the primary tool for scientists, governments and
NGO’s monitoring the earth’s natural resources because it provides regular
high-quality imagery that’s easy to access, and it’s free! Sentinel 2 is a new
satellite launched by the European space agency, similar to Landsat, but
providing higher resolution imagery. Using these data you will learn how to
quickly and easily import and map land cover and land cover change using
sophisticated remote sensing techniques
Applications: This section will present a number of example applications
building on what you have learned in the preceding sections. The section
will cover these three broad application areas:
1. Fire mapping
2. Forest cover change
3. Off-site mine impacts with sediment flow path tracing.
Advanced concepts: This section will explore some more advanced ideas
in satellite image analysis and also present some additional techniques for
getting the most out of SAGA. This section also explores the use of SAGA
for Travel time analysis. Modelling travel time to services has become a
common public tool for planning infrastructure for improving service
provision. The aim of the tools described in this section is to provide simple,
open source, adaptable, interactive travel time modelling tools to allow
greater access to, and participation in, service access analysis.
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