Difference between revisions of "Mandi Assignment Final Answer"
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[[File:Lake.JPG|600px]] | [[File:Lake.JPG|600px]] | ||
[[File:Axis_Image.jpg|600px]] <br /> | [[File:Axis_Image.jpg|600px]] <br /> | ||
− | Hence, the length of a pixel is 3000/(504 - 475+1) ft, equals to | + | Hence, the length of a pixel is 3000/(504 - 475+1) ft, equals to 100 ft. Then the area of one pixel is 100 * 100 = 10000 square ft. <br /> |
+ | As the satellite image has 651*651 pixels, the actual scale of the region is 651*651*10000 square ft = 4,238,010,000 square ft. | ||
+ | The orientation of the satellite image is oriented north-south. | ||
+ | |||
'''2. Features in the Preserve area as captured in the imagery.''' <br /> | '''2. Features in the Preserve area as captured in the imagery.''' <br /> | ||
Most of the images have sensor artifacts at the bottom right corner. | Most of the images have sensor artifacts at the bottom right corner. |
Revision as of 23:50, 7 July 2017
Questions:
1. The scale and orientation of the supplied satellite images.
Identified the location and coordinates of the Boonsong Lake in the satellite image as below:
Hence, the length of a pixel is 3000/(504 - 475+1) ft, equals to 100 ft. Then the area of one pixel is 100 * 100 = 10000 square ft.
As the satellite image has 651*651 pixels, the actual scale of the region is 651*651*10000 square ft = 4,238,010,000 square ft.
The orientation of the satellite image is oriented north-south.
2. Features in the Preserve area as captured in the imagery.
Most of the images have sensor artifacts at the bottom right corner.
To identify the features in the Preserve Area, I picked the image which is generated from the data [image11_2016_09_06.csv]. It has no sensor artifacts at all.
Band combinations(B4, B3, B2) are mapped to the RGB image channels to create the false-color image as below.
Band combinations(B5, B4, B2) are mapped to the RGB image channels to create the false-color image as below:
With the NDVI and RVI Value, we can identify the different vegetation.
- Cluster 1: Common vegetation with lower chlorophyll content.
- Cluster 2: Road/Newly Land/Soil.
- Cluster 3: Healthy Plants with higher chlorophyll content which has absorbed the red light strongly.
- Cluster 4: Waterbody.
- Cluster 5: Clouds.