The MicaSense RedEdge-M a specialized sensor capable of recording reflected energy in the visible blue, green and red wavelengths as well as the non-visible red edge and near-infrared portions of the electromagnetic spectrum. Typical response of healthy plants, when compared to stressed plants, is lower in the visible […]

Lab11 – MicaSense RedEdge-M

    Notice to Airmen (NOTAMs):  https://pilotweb.nas.faa.gov or https://skyvector.com/ flight planning purposes provides information to airmen which contains pertinent information to increase air safety applies to all pilots drone operators file a NOTAM only if you have a waiver that requires it purposes avoid temporarily restricted areas inform drone pilots […]

Airport Operations

    Lab deliverable is highlighted in Orange about half-way through the lab. Lab 10 is loosely based on the Agisoft Intermediate tutorial posted here: https://www.agisoft.com/index.php?id=35 Download photos from the March, 19, 2016 Botanical Garden flight (HERE). You will need to select all of the photos (tick box in upper […]

Lab10 – Agisoft Metashape Part 1

https://lh5.googleusercontent.com/C_MYTgbtTxCxCQVo5RfCPVUl2_ysujBG-kxWl6TXgOKbPs3DdAAmgPi-ihvr7DR_1VU5K6wOxuFb24SqFvgkz3oW9QkLjoRKa2G7T4QN_PwVjT5QQQLt-O0Ri0PbhVMrvYaE-Zl0
Still looking at sectionals… Link to the complete FAA Aeronautical Chart User’s Guide (all 131 pages!!!) We will be working through this document this morning. Airport Terms: Uncontrolled airport: airport with no control tower CTAF: “Common Traffic Advisory Frequency”; the VHF frequency used for air-to-air communications AWOS: “Automated Weather Observing […]

13 – Part 107 Sectionals – More Symbols

    Lab 9 Data Link (clp_tls.laz).  This is a large dataset, have patience!!!  The “LAZ” file is a common point cloud file format storage type.  You read a LAZ the same way you read a LAS – you process it using the same approach. You will start with a […]

Lab09 – Terrestrial Lidar Analysis in R

Operations near an airport Aguilar – Forza Business Strategies, Inc. Scenario:  You present a scenario in which there are two adjacent properties owned by different persons. One has a state-permitted private-use heliport which is used 40 times per month. The other property is a vacant lot where construction has begun […]

Sectionals – Operations near an airport

Lab08 Data Download Lab 08: Coarse woody debris volume remaining after harvest [Excerpt from Brian Davis’ 2017 thesis,”REFINEMENT OF A DRONE-BASED METHOD FOR ESTIMATING COARSE WOODY DEBRIS AND BIOMASS RESIDUE FOLLOWING FOREST HARVEST”] "… Pine forests of the southern US are a major source of woody debris residues used for […]

Lab08 – Coarse Woody Debris (volume of residual wood after ...

Sectionals: Special Use Areas (prohibited, restricted, warning military operation, alert) SOURCES: http://www.faraim.org/aim/aim-4-03-14-143.html http://www.faraim.org/aim/aim-4-03-14-144.html http://www.faraim.org/aim/aim-4-03-14-145.html http://www.faraim.org/aim/aim-4-03-14-146.html http://www.faraim.org/aim/aim-4-03-14-147.html and https://thinkaviation.net/prohibited-areas/ (www.skyvector.com)… NOTE: Pan/Zoom to your flight area (in this example, the Florida panhandle), then click the link in the upper-right to load the region’s sectional (see screenshots below). Click the “World VFR” […]

Sectionals – Special Use Areas

  Monday, you had an opportunity to process a drone-based point cloud using R and the lidR and the rgdal packages.  You should have familiarized yourself with the following commands and at least have an idea of what they do: plot() summary() lasfilterdecimate(): https://www.rdocumentation.org/packages/lidR/versions/2.0.0/topics/lasfilterdecimate lasground(): https://www.rdocumentation.org/packages/lidR/versions/2.0.0/topics/lasground lasnormalize(): https://www.rdocumentation.org/packages/lidR/versions/2.0.0/topics/lasnormalize lasfilter(): https://www.rdocumentation.org/packages/lidR/versions/2.0.0/topics/lasfilters grid_metrics(): https://www.rdocumentation.org/packages/lidR/versions/2.0.0/topics/grid_metrics grid_canopy(): […]

Processing point cloud in R – Follow-up

    Lab 07:  Process point cloud in R!!! In this lab, you will use the R programming language to process a point cloud.  As in previous labs, the goal is to automatically count trees across the landscape.  These methods are relevant even if you are not interested in tree-counting.  […]

Processing point cloud in R