Remote sensing : progm (ENVI) Line: from top to bottom min: ----red line -Stdev

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Remote sensing : progm (ENVI)

Line: from top to bottom

min: ----red line

-Stdev ----green line

mean:Region ---white line

-Stdev

Q5: What would be the purpose of collecting a ROI around a homogeneous area and calculating the mean spectra?

ROI : region of interest

1. Press left button to highlight RED region. 2. Press Stats button. 3. Right Click in Plot of ROI Statistic Fle ROI Type Options Help Window. Image Scroll Zoom Off ROI Name Color Red Pioxels Region #1 Region #2 - [Region #3 1/457 ults Window Blue 91 1/91 -> Right Click-> Plot Key Q5: What would be the purpose of collecting a ROI around a homogeneous area and calculating the mean spectra? New Region Goto Stats Grow Posel De Select AllHide ROIs Show ROls ROI Statistics Results: bhtme Limg Fle Opbons ROIat Fle Options s: bhtmrefimg Fle Opbons Select Plot Clear Plot Select Plot Clear Plot Min/Max/Mean:Re 1 [Red] 457 Min/Max/Mean:R 2 [Greenl 113 Min/Max/Meon:R 50 35 30 30 30 20 10 Select Sta Select Sta Select Sta Filenase: E:eas451NENV1 2007 labs ENVI builtin ROI Region #3 [Blue] 91 ponts 007 labs ENVI Filenane: E: eas451 ENVI_2007 labs ENVI ROI Region #1 [Red] 457 points Filenase: E:Neas451NENVI ROI Region #2 [Green] 113 points Basic Stats Min Max Stdev 16 15.097345 0.516938 19 17.132743 0.839902 25 22.725664 1.276489 36 33.964602 1.093236 32 30.398230 0.796643 22 20.920354 0.757600 Stdev 20 18.780220 0.611050 24 22.571429 0.598941 29 26.901099 0.789584 36 33.868132 0.991170 39 37.417582 0.966850 37 34.978022 1.074741 Basic Stats 1n Hax Stdev 12 9 087527 0.646344 13 8.919037 0.881093 12 6.409190 1.199855 51 47.805252 1.432446 17 11.603939 1.584819 11 4.689278 1.543149 Basic Stats in Max Band 3 Band 4 Band 5 Band 6 Band 3 Band 4 Band 5 Band 6 Band 1 Band 2 Band 3 Band 4 Band 5 Band 6 H1st DN Npts Total Percent 67 14.6608 DN Npts Total Percent 10 8.8496 Npts Total Percent 29 31.8681

Explanation / Answer

We need to make many ROI, considering the spectral variability of land cover categories. it's vital that ROIs represent homogeneous areas of the image, so we have a tendency to ar going todraw the ROIs employing a region growing method (i.e. a segmentation of the image, grouping similar pixels(i.e. a segmentation of the image, grouping similar pixels).

The following are the land cover classes that we are going to identify in the image:

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