Course_description

breezebongΤεχνίτη Νοημοσύνη και Ρομποτική

6 Νοε 2013 (πριν από 3 χρόνια και 7 μήνες)

45 εμφανίσεις

Course Description


The Course on Space Technology for Biodiversity Assessment is based on gaining an
understanding of Remote Sensing. This will deal with active versus passive sensors,
Multi
-
spectral versus hyperspectral sensors. Review of various satelli
te platforms for
earth observation. Processing of digital data for identifying patterns. Review of
classification procedures for image interpretation. Time series for detecting change.
Objective based classifications.
This Module counts 10 credits




Presc
ribed Text Book


Jensen, John R., 2006,
Remote Sensing of the Environment: An Earth Resource
Perspective
, 2nd Ed., Upper Saddle River, NJ: Prentice Hall, 592 pages.

ISBN:

0131889508

O
rder f
rom
:


http://www.amazon.com/Remote
-
Sensing
-
Environment
-
Perspective
-
Information/dp/0131889508



Objectives:


Develop students' knowledge of the principles, equipment, and techniques used to
manipulate, analyse and interpr
et digital satellite imagery. The course provides an
overview of the various formats of digital image data. Analysis of information will
include image rectification and registration, image classification, change detection and
time series analysis with an
emphasis on vegetation assessment.



Outcomes:


To be able to analyse changes in the earth surface that are detectable, using remote
-
sensing satellites that have implication for biodiversity assessment. An ability to
separate anthropogenic fr
o
m climatic fa
ctors through the use of numerical techniques
.


Software:


For 2006 the course will use
IDRISI 32. For 2007 off
-
campus learners
are
expected to
obtain
their own
licenses for

IDRISI Andes version at $39

per license
. This
software
should be ordered directl
y
from Clark Labs
:


You can use the
on
-
line

form
, print an order form to mail or fax, or purchase through
one of our International Resellers.

The contact details are

phone: +1
-
508
-
793
-
7526 or
by email:
idrisi@clar
ku.edu

or
http://www.clarklabs.org/



Lecture Material



Initially
lecture material prepared by Prof Jensen

(viz all of the Power Points)
from
the
University of South Carolina

will be used pending development of
our own courses.

order to get to
know the theory.

This is



Remote Sensing Essentials


http://planet.uwc.ac.za/nisl/Remote_sensing/Jensen/Lectures_RSE/


(14 Power Points t
o go through)


Digital Image Processing


http://planet.uwc.ac.za/nisl/Remote_sensing/Jensen/Lectures_DIP/



(
There are
13 Power Points to go through)


Assignment 1



50%


When
you have completed this you must start with the Idrisi Tutorial on Vegetation
Indices (Exercise 5
-
7 Vegetation Analysis in Arid Environments) downloadable from


http://planet.uwc.ac.za/nisl/GIS/IDRISI/Idrisi32%20Tutorial/Documents/tutorial.pdf


Then do the Change Detection Tutorial



http://planet.uwc.ac.z
a/nisl/Remote_sensing/Word_docs/Change%20Detection%20Exer
cis_1.doc


Using this exercise you must analyse the following LANDSAT data from this folder


http:/
/planet.uwc.ac.za/nisl/Remote_sensing/Assignment_Veg_Index/Data_Richtersveld
/

(you will need to analysis ONLY ONE year, which is nominally an autumn and a spring
and assess all of the different vegetation indices that use RED and IR and use image
differen
cing to determine how much seasonal difference in vegetation response). The
scene is the Richtersveld National Park (borders on Namibia
-

can see the
Garieb/Orange river) and it is projected see IDRISI Metadata. Note you will need to use
the Inmage Calcula
tor as not all of Idrisi's veg indices work from the menu.



Your report needs to be written Abstract, Introduction, Methods, Results, Discussion,
Acknowledgements, References
-

please use the following lecture to help you prepare
your report


http://planet.uwc.ac.za/nisl/Scientific_methods/Chapter5/index.html#






Assignment 2

-

50%


http://planet.uwc.ac.za/nisl/Remote_sensing/Word_docs/Time%20Series%20Exercise.d
oc



Once complet
ed

this
tutorial/instructions

you must analyse the following data




Using this exercise you must analyse the following

MODIS

NDVI

data from this fold
er



The dates for the scenes to be analysed are



http://planet.uwc.ac.za/nisl/Remote_sensing/Assignment_Time_Series/modis_kk/Modis
_dates.xls



Yo
u will analyse

all of the images associated with these dates (e.g. 2000049 to
2005353)



There is the following report to help you

understand the file naming system.



http://planet.uwc.ac.za/nisl/Remote_sensing/Assignment_Time_Series/modis_kk/Modis
_dates.xls



The following report

is
considered potentially useful when interpreting your results.




Final _Little_Karoo_Transformation_Report_05.pdf


-


http://planet.uwc.ac.za/nisl/Remote_sensing/Assignment_Time_Series/modis_kk/Final
%20_Little_Karoo_Transformation_Report_05.pdf





The following website could

also be

help
ful

with the interpretation of your analysis



http://mapserver.uwc.ac.za
/imf
-
aims50/imf.jsp?config=http://mapserver.uwc.ac.za/imf
-
aims50/sites/CPU/site
-
config_CPU_KleinKaroo_vegetation.xml&extent=19.9991463721457,
-
35.0793728562967,23.7177164951124,
-
32.2695387603819



Once you get you PCA
results

you will need to
produce

graph
s using Excel.





Your report needs to be written Abstract, Introduction, Methods, Results, Discussion,
Acknowledgements, References
-

please use the following lecture to help you prepare
your report.



http://planet.uwc.ac.za/nisl/Scientific_methods/Chapter5/index.html



The above lectures are based on the following URLs from the University


of South
Carolina where Prof Jensen is a staff member
-

please do not contact Pro
f Jensen
directly.



http://www.cas.sc.edu/geog/rslab/751/index.html

Digital Techniques of Remote
Sensing


http://www.cas.sc.edu
/geog/rslab/551/index.html

Principles of Remote Sensing


http://www.cas.sc.edu/geog/rslab/Rscc/rscc
-
frames.html

Remote Sensing Tutorial
-

University of South Carolina