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MNMLS Sample Point Clouds
Links to example output point cloud products from the Mad Nadir Mapping Lidar System (MNMLS) are below. No black box processing is (ever) done to our data. i.e., Raw data is acquired, the trajectory is processed, a point cloud is generated and then optionally strip aligned using the built-in (and included with the MNMLS) BayesMap Solutions StripAlign tool. Absolutely no "optimizing" or thinning of the data occurs in our MNMLP processing software - only lever arm and boresight angle corrections are applied, optional FOV and range filtering, and then optional strip alignment. The .laz outputs from our system can be ingested and post-processed within any external software product (e.g., noise/outlier removal, thinning, classification, etc.)
Sample Point Cloud #1
Flight Parameters 50 m AGL, ~7.5 m/s, ~35% overlap.
Processing Parameters FOV filter, range filter, boresight and lever arm corrections, strip aligned
Link to Accompanying LinkedIn Post
MNMLS & RESEPI Comparison Data
Flight Parameters 50 m AGL, ~7.5 m/s, ~35% overlap.
Processing Parameters FOV filter, range filter, boresight and lever arm corrections, no strip alignment
Link to MNMLS Data
Link to RESEPI Data
Link to Accompanying LinkedIn Post
Other links to example output point cloud products from the Mad Nadir Mapping Lidar System (MNMLS) are below. These sample point clouds are not filtered or post-processed in any way. This provides a true representation of the MNMLS output data quality. We aren't hiding anything!
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