UAV generated map in Pix4D depicting 380 of 4 million acres that have been clear-cut in Oregon. This questions the Oregon timber industry's harvesting and sustainability practices...

1. Generated with Pix4Dmapper Discovery version 1.4.46
Quality Report
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Summary
Project beyondtoxics
Processed 2016-Sep-03 21:33:52
Camera Model Name FC300X_3.6_4000x3000 (RGB)
Average Ground Sampling Distance (GSD) 8.11 cm / 3.19 in
Area Covered 1.5418 km2 / 154.18 ha / 0.5956 sq. mi. / 381.183 acres
Image Coordinate System WGS84
Output Coordinate System WGS84 / UTMzone 10N
Processing Type full Aerial nadir
Feature Extraction Image Scale 1
Camera Model Parameter Optimization optimize externals and all internals
Time for Initial Processing (without report) 02h:01m:55s
Quality Check
Images median of 48753 keypoints per image
Dataset 449 out of 449 images calibrated (100%), all images enabled
Camera Optimization 5.62%relative difference between initial and final focal length
Matching median of 33265 matches per calibrated image
Georeferencing no 3D GCP
Preview
Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification.

2. Calibration Details
Number of Calibrated Images 449 out of 449
Number of Geolocated Images 449 out of 449
Initial Image Positions
Figure 2: Top view of the initial image position. The green line follows the position of the images in time starting from the large blue dot.
Computed Image/GCPs/Manual Tie Points Positions

3. Figure 3: Offset between initial (blue dots) and computed (green dots) image positions as well as the offset between the GCPs initial positions (blue crosses) and
their computed positions (green crosses) in the top-view (XY plane), front-view (XZ plane), and side-view (YZ plane).
Overlap

4. Number of overlapping images: 1 2 3 4 5+
Figure 4: Number of overlapping images computed for each pixel of the orthomosaic.
Red and yellow areas indicate low overlap for which poor results may be generated. Green areas indicate an overlap of over 5 images for every pixel. Good
quality results will be generated as long as the number of keypoint matches is also sufficient for these areas (see Figure 5 for keypoint matches).
Bundle Block Adjustment Details
Number of 2D Keypoint Observations for Bundle Block Adjustment 14339237
Number of 3D Points for Bundle Block Adjustment 2871195
Mean Reprojection Error [pixels] 0.24575
Internal Camera Parameters
FC300X_3.6_4000x3000 (RGB). Sensor Dimensions: 6.317 [mm] x 4.738 [mm]
EXIF ID: FC300X_3.6_4000x3000
Focal
Length
Principal
Point x
Principal
Point y
R1 R2 R3 T1 T2
Initial
Values
2285.714 [pixel]
3.610 [mm]
2000.000 [pixel]
3.159 [mm]
1500.000 [pixel]
2.369 [mm]
0.000 0.000 0.000 0.000 0.000
Optimized
Values
2414.247 [pixel]
3.813 [mm]
1964.234 [pixel]
3.102 [mm]
1508.009 [pixel]
2.382 [mm]
-0.009 0.001 0.015 -0.000 -0.001
2D Keypoints Table
Number of 2D Keypoints per Image Number of Matched 2D Keypoints per Image
Median 48753 33265
Min 24334 6842
Max 60350 45942
Mean 46961 31936
3D Points from 2D Keypoint Matches
Number of 3D Points Observed

5. In 2 Images 1032602
In 3 Images 478573
In 4 Images 309399
In 5 Images 221900
In 6 Images 168760
In 7 Images 128898
In 8 Images 99905
In 9 Images 79806
In 10 Images 64755
In 11 Images 53076
In 12 Images 43803
In 13 Images 35391
In 14 Images 28477
In 15 Images 23134
In 16 Images 19007
In 17 Images 15232
In 18 Images 12798
In 19 Images 10546
In 20 Images 8654
In 21 Images 6979
In 22 Images 5574
In 23 Images 4377
In 24 Images 3573
In 25 Images 2899
In 26 Images 2372
In 27 Images 1905
In 28 Images 1547
In 29 Images 1245
In 30 Images 1084
In 31 Images 876
In 32 Images 665
In 33 Images 574
In 34 Images 489
In 35 Images 398
In 36 Images 344
In 37 Images 283
In 38 Images 223
In 39 Images 195
In 40 Images 165
In 41 Images 131
In 42 Images 100
In 43 Images 90
In 44 Images 56
In 45 Images 60
In 46 Images 49
In 47 Images 27
In 48 Images 35
In 49 Images 21
In 50 Images 25
In 51 Images 17
In 52 Images 16
In 53 Images 15
In 54 Images 11
In 55 Images 12
In 56 Images 7
In 57 Images 11
In 58 Images 6
In 59 Images 6
In 60 Images 6
In 61 Images 3

6. In 62 Images 3
In 63 Images 1
In 64 Images 2
In 66 Images 1
In 68 Images 1
3D Points from 2D Keypoint Matches
Number of matches
25 222 444 666 888 1111 1333 1555 1777 2000
Figure 5: Top view of the image computed positions with a link between matching images. The darkness of the links indicates the number of matched 2D keypoints
between the images. Bright links indicate weak links and require manual tie points or more images.
Geolocation Details
Absolute Geolocation Variance
0 out of 449 geolocated and calibrated images have been labeled as inaccurate.
Min Error [m] MaxError [m] Geolocation Error X[%] Geolocation Error Y[%] Geolocation Error Z[%]
- -15.00 0.00 0.00 0.00
-15.00 -12.00 0.00 0.67 0.00
-12.00 -9.00 0.89 4.45 0.00
-9.00 -6.00 4.23 7.57 0.00
-6.00 -3.00 5.57 13.14 0.00
-3.00 0.00 39.87 26.28 59.91
0.00 3.00 36.08 20.71 37.19
3.00 6.00 10.69 12.03 2.90
6.00 9.00 2.67 10.91 0.00
9.00 12.00 0.00 4.01 0.00
12.00 15.00 0.00 0.22 0.00
15.00 - 0.00 0.00 0.00
Mean -0.000857 0.001137 -0.072231
Sigma 3.001527 5.090300 1.272607
RMSError 3.001527 5.090300 1.274655
Min Error and Max Error represent geolocation error intervals between -1.5 and 1.5 times the maximum accuracy of all the images. Columns X, Y, Z show the
percentage of images with geolocation errors within the predefined error intervals. The geolocation error is the difference between the intial and computed image

7. positions. Note that the image geolocation errors do not correspond to the accuracy of the observed 3D points.
Relative Geolocation Variance
Relative Geolocation Error Images X[%] Images Y[%] Images Z[%]
[-1.00, 1.00] 86.41 66.82 100.00
[-2.00, 2.00] 99.78 96.21 100.00
[-3.00, 3.00] 100.00 100.00 100.00
Meanof GeolocationAccuracy 5.000000 5.000000 10.000000
Sigma of GeolocationAccuracy 0.000000 0.000000 0.000000
Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.
Point Cloud Densification details
Summary
Processing Type aerial nadir
Image Scale multiscale, 1/4 (quarter image size, fast)
Point Density optimal
Minimum Number of Matches 3
Use Densification Area yes
Use Annotations yes
Time for Densification (without report and 3D textured mesh) 01h:21m:22s
Results
Number of 3D Densified Points 6508307
Average Density(per m3) 2.01