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Envs 314: Geographical Information Systems And Remote Sensing Question Paper

Envs 314: Geographical Information Systems And Remote Sensing 

Course:Bachelor Of Environmental Science

Institution: Kabarak University question papers

Exam Year:2010



COURSE CODE: ENVS 314
COURSE TITLE: GEOGRAPHICAL INFORMATION SYSTEMS
AND REMOTE SENSING
STREAM: Y3S1

INSTRUCTIONS:
• Answer questions ONE and any other TWO questions in Section B

SECTION A
QUESTION ONE
a) Define the following terms citing examples;
i. Geographical information systems (2 marks)
ii. Remote sensing (2 marks)
iii. Spectral resolution (2 marks)
iv. Spatial resolution (2 marks)
b) Discuss the various component of a Geographical information system. (6 marks)
c) Explain why most remote sensing applications avoid detecting and recording
wavelengths in the ultraviolet and blue portions of the spectrum? (4 marks)
d) Explain how Google earth can be used in environmental studies. (5 marks)
e) “Information concerning an event occurring thousands of kilometers away can be studied
in real time” Discuss. (3 marks)
f) Explain six techniques that can be employed in the manipulation of Geographical
Information System data (6 marks)
g) Discuss four factors that affect vegetation reflectance characteristics. (4 marks)
h) If you are required to locate targets that reflect radiation best between the frequencies of
4.3 x 1014 to 5.0 x 1014 Hz. (speed of light = 3.0 x 108
m/s).
i. Define the bandwidth of the reflected radiation by wavelength. (3 marks)
ii. In which region of the EMR is the bandwidth (2 marks)

SECTION B
2. The application of Geographical information systems has increased tremendously in the
last decade. Discuss. (10 marks)
3. Remote sensing is a technology for the acquisition of geographical and environmental
information. Discuss the various stages in remote sensing and indicate the role played by
each stage. (10 marks)
4. The electromagnetic spectrum is the single most important driving force in remote
sensing. Elaborate the various regions in the spectrum and discuss their applicability in
remote sensing (10 marks)






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