Download Lab Data Files Here 3-dimensional surface model from iPhone 6 video (Autodesk ReCap Pro 2018) In this lab, we will take a look at a ground-based approach of generating a 3 dimensional surface model. First we will consider the Warnell wood pile example. However neat you think this output may be, […]
FORS 5640/7640 Final Exam When: May 2, 2018, from 12 – 3 (if you have a conflict, please let me know as soon as possible) Where: In the GIS Lab Format: Closed book/Closed note; multiple choice Don’t forget upload your Remote Pilot 101 Quiz 1 – 9 […]
Mission planning for vertical surfaces Ground Control Software I will give a short demonstration of four common (DJI-based) ground control software: DJI GO 4, GS Pro, Map Pilot, and Pix4Dcapture. For the most part, flight planning with these software is completed on site, in the field. Agisoft Photoscan I have been […]
Lab 10: 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 bioenergy (Milbrandt 2005). […]
CWD Lab Review.
Improvement of clip by extent example from Wednesday… The following code clips the LAS to the boundary of the shapefile. (example data) library(lidR) library(rgdal) setwd(“c:/temp/sf/”) tdat<- readLAS(“sp2_pcloud.las”) plot(tdat) tpoly<- readOGR( “.”,”AnalysisUnit”) clpdat <- lasclipPolygon(tdat, tpoly@polygons[]@Polygons[]@coords[,1], tpoly@polygons[]@Polygons[]@coords[,2]) plot(clpdat) COARSE WOODY DEBRIS EXAMPLE: Task at hand is to determine […]
Today’s scenario. We need to perform a similar analysis on a site I flew last summer. We are only interested in the area outlined in red (screenshot below). INPUT DATA: Input LAS: sp2_pcloud.las (DropBox Link) Processing extent: AnalysisUnit.shp R WORKFLOW: Clip input data to processing extent Classify ground points Create […]