lab4
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School
University of Waterloo *
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Course
271
Subject
Geography
Date
Dec 6, 2023
Type
docx
Pages
4
Uploaded by MegaRhinoceros3530
GEOG 271
Feb 15, 2022, Winter
Lab 4
1)
A.
Mean
Min
Max
Standard
Deviation
Uncorrected
Image
Band 4
(NIR)
126.563
15
247
25.1818
Band 3
(Red)
55.6138
25
255
18.6735
Band 2
(Green)
60.8079
36
255
11.1395
Corrected
Image
Band 4
(NIR)
3904.66
463
7620
776.795
Band 3
(Red)
1147.6
1
5260
385.178
Band 2
(Green)
572.031
2
5202
265.611
B.
C.
Road
Vegetated Area
Water
Uncorrected Image
R: 64 G:64 B: 67
R: 149 G: 31 B:45
R:20 G:31 B:41
Corrected Image
R: 1966 G: 1317 B: 725
R:4575 G: 638 B:203
R:615 G:638 B:108
2)
In this kind of atmospheric correction, there are several assumptions made from the image
parameters inferred from its metadata. For example, in the Sensor and image settings, the
sensor information such as the Solar zenith is inferred based on the information about the
satellite, Acquisition date and the solar azimuth. Another example is in Haze and cloud masking
tab, the Omit choice identifies that the input image has no clouds so the cloud masking
operation is skipped. In the illumination conditions tab, the base elevation (constant height) is
based on a general measurement on web maps so it does not consider drastic elevation
differences in small areas in the study area. From the satellite data, latitude and longitude, and
collection date, the atmospheric information on the Visibility and ground reflectance tab is also
auto filled to be rural and mid-latitude summer.
To improve the correction procedure,
information about the uncorrected image should be accurate from the data collecting standpoint
rather than assumptions made from other metadata.
3)
A.
3 errors:
-
The exact matching pixel allocation between the uncorrected and the referenced
picture is difficult to b e exactly accurate (always at least a miniscule distortion)
making warping of the image never perfect
-
The two images comes from different sources which has possible metadata
differences which can distort location and status of features on the map
-
The resolution (pixel count) between the two images might be different therefore,
warping will distort the corrected image
B.
C.
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D.