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Jason Karl
United States
Приєднався 20 бер 2009
This channel is primarily about how to measure and monitor natural resources, either through field-based methods, drone-based photogrammetry, or satellite image analysis. Many of the videos on this channel are parts of the courses I teach as a professor of Rangeland Ecology at the University of Idaho.
Thermal Image Photogrammetry in Metashape
Thermal infrared (TIR) imaging is a powerful technology for understanding ecosystem processes and sustainable agricultural systems. TIR sensors are becoming increasingly common on drones, and the applications of TIR images are increasing. Single TIR photos or TIR videos can be invaluable for infrastructure inspections or in search-and-rescue operations. In agriculture and natural resources, the power of TIR data comes when multiple photos can be combined into orthomosaics of large fields or landscapes.
However, TIR imagery has some unique traits that can make it challenging to work with it in photogrammetry applications. In this lab, we will work through import, alignment, and creation of TIR orthomosaics.
Detailed instructions for this tutorial and the datasets used as well as other drone-related tutorials are available at: uidronelab.org
Finally, for a great introduction to drone/UAS thermal imaging, check out this (open-access!) paper by Messina and Modica (2020) - doi.org/10.3390/rs12091491.
However, TIR imagery has some unique traits that can make it challenging to work with it in photogrammetry applications. In this lab, we will work through import, alignment, and creation of TIR orthomosaics.
Detailed instructions for this tutorial and the datasets used as well as other drone-related tutorials are available at: uidronelab.org
Finally, for a great introduction to drone/UAS thermal imaging, check out this (open-access!) paper by Messina and Modica (2020) - doi.org/10.3390/rs12091491.
Переглядів: 97
Відео
Combining Drone Lidar with Photogrammetry in Metashape
Переглядів 424День тому
In previous videos, we have considered only elevation data that we derive from the photogrammetric process in our Metashape projects. Those elevation data can be used for analyses (e.g., calculating canopy height, examining change over time, calculating volume) or as a source for orthorectifying aerial photos. However, other sources of elevation data can be brought into Metashape and used in pl...
Metashape Tip: Solution for Select Photos by Marker not working
Переглядів 69Місяць тому
This is a bit of an esoteric topic, but hopefully can help save someone a bunch of frustration. When processing a set of photos we recently shot, the "Select Photos by Marker" option that we would normally use to find the ground control points in the photos was not returning any photos. This was caused by a large inaccuracy in the altitude values recorded for the original photos which caused th...
REM 475 Lab - Metashape introduction
Переглядів 146Місяць тому
Agisoft Metashape is a digital photogrammetry software application that is used for turning drone-collected photographs into high-quality maps and 3D models. This exercise will walk through the basics of how to use Metashape.
REM 475 - Photo alignment with Metashape
Переглядів 1702 місяці тому
Aligning the photos to create an inital stereo model and sparse point cloud is the first step in Metashape. In this lab, we explore the different options for aligning photos and how to optimize the sparse point cloud.
Structure from Motion with Historic Aerial Photography
Переглядів 7892 роки тому
We commonly associate structure from motion photogrammetry with making maps from drone imagery. But the techniques can be applied to just about any photographs that have enough overlap. In this video, we'll work through how to use Metashape to create an orthomosaic of some historic aerial photographs of Idaho from 1934 and look a bit at how the landscape has changed over almost 90 years!
Post Processing GNSS Data with Emlid Studio
Переглядів 1,9 тис.2 роки тому
High-accuracy location information is critical for direct georeferencing or for ground control with UAS image photogrammetry. While we typically prefer to have real-time kinematic (RTK) GNSS data where corrections are being applied to our location measures in real time, that isn’t always possible or sometimes even desirable. In these situations, we can use a post-processed kinematic (PPK) appro...
FOR 546: Introduction to Module 3 - Briefs
Переглядів 1092 роки тому
FOR 546: Introduction to Module 3 - Briefs
FOR 546: Best Practices Module Video
Переглядів 1082 роки тому
Introduction to the course module on best practices for writing science syntheses for FOR 546 Science Synthesis and Communications at the University of Idaho
REM 475 Lab: Close-range Photogrammetry
Переглядів 8532 роки тому
For our last lab this semester, we're going to do something a bit different (but kind of the same!). To date we've dealt with aerial imagery taken from a drone for creating mapping products. For this lab, we're going to use photos taken of an object with the intent of creating a 3D model of that object. We call this close-range photogrammetry. It uses the same principles of photogrammetry and s...
REM 475 Lab - Coregistering multiple dates in Agisoft Metashape
Переглядів 1,1 тис.3 роки тому
So far in our labs we've worked with image sets from a single date (epoch). Measurement of change over time from drone imagery is really powerful, but to work, your image sets and 3D models need to be precisely aligned (or coregistered) to each other. In this lab we walk through how to use Metashape's Chunks to process and align drone photos taken from two different dates. We also explore DEM d...
Using Reference Management Software - Zotero quick intro
Переглядів 2113 роки тому
Being proficient with Reference/Citation Management Software will keep you focused on communicating via your writing rather than fighting your references and lit cited section. However, many students come into their graduate programs with little or no exposure to this essential piece of technology. This video is a quick introduction to Zotero (though concepts are similar to Mendeley or other re...
REM 410/520 - M&M Theory: Calculating Composition, Diversity, and Similarity Indices
Переглядів 3793 роки тому
REM 410/520 - M&M Theory: Calculating Composition, Diversity, and Similarity Indices
FOR 546: The Ten-hundred Word Challenge
Переглядів 2293 роки тому
In the ten-hundred word challenge, inspired by Randall Monroe's book, "Thing Explainer," we'll rewrite a short piece of technical writing using only the thousand (ten hundred) most common words.
REM 410: M&M Theory - High-resolution Remote Sensing and 3D Modeling
Переглядів 2043 роки тому
A special holiday edition of M&M Theory! We're going to look into how emerging high-resolution remote sensing techniques often used with drone imagery can be used in natural resource monitoring. We're off to Candyland this time and will be using cell-phone photos to do a 3D reconstruction of a gingerbread village.
REM 475 Lab: Multispectral Image Processing, Part2
Переглядів 2,8 тис.3 роки тому
REM 475 Lab: Multispectral Image Processing, Part2
REM 475 Lab: Multispectral Image Processing, Part 1
Переглядів 6 тис.4 роки тому
REM 475 Lab: Multispectral Image Processing, Part 1
REM 475 Lab: Orthophotos and Orthomosaics
Переглядів 1,7 тис.4 роки тому
REM 475 Lab: Orthophotos and Orthomosaics
REM 475 Lab: Manually Aligning Photos in Agisoft Metashape
Переглядів 21 тис.4 роки тому
REM 475 Lab: Manually Aligning Photos in Agisoft Metashape
REM 475 Lab: Point clouds and elevation surfaces in Metashape
Переглядів 6 тис.4 роки тому
REM 475 Lab: Point clouds and elevation surfaces in Metashape
M&M Theory - Stratified Random Sampling
Переглядів 4734 роки тому
M&M Theory - Stratified Random Sampling
University of Idaho - REM 410/520 Excel Crash Course!
Переглядів 1,2 тис.4 роки тому
University of Idaho - REM 410/520 Excel Crash Course!
University of Idaho: REM 410/520 - Confidence Intervals Example
Переглядів 2534 роки тому
University of Idaho: REM 410/520 - Confidence Intervals Example
University of Idaho - REM 410/520 Biomass & Production
Переглядів 1224 роки тому
University of Idaho - REM 410/520 Biomass & Production
University of Idaho - REM 410/520 Academic Honesty & Plagiarism
Переглядів 2504 роки тому
University of Idaho - REM 410/520 Academic Honesty & Plagiarism
University of Idaho - REM 410/520 Monitoring Objectives
Переглядів 1264 роки тому
University of Idaho - REM 410/520 Monitoring Objectives
Zumwalt Prairie Cow Gathering - 360-degree
Переглядів 484 роки тому
Zumwalt Prairie Cow Gathering - 360-degree
M&M Theory - Introduction to Sampling
Переглядів 1,2 тис.4 роки тому
M&M Theory - Introduction to Sampling
University of Idaho - REM410/520 Course Introduction
Переглядів 2934 роки тому
University of Idaho - REM410/520 Course Introduction
University of Idaho - REM 410/520 Remote Sensing in Monitoring and Assessment
Переглядів 1294 роки тому
University of Idaho - REM 410/520 Remote Sensing in Monitoring and Assessment
awesome. If I remember correctly, you can just double click on the pointcloud to do the same as right click > center view
That's a great tip - thanks!
Thank you!
"High" settings means using full resolution of images...
Thanks for the correction! I'll look into if there's a way to fix that without having to take down and re-post the video.
@@jasonwkarl No problem, thanks for making these videos! :)
Hello Jason. could you please share the link to the mm local coordinates system file (local_mm.prj)? I would like to try it out. Thank you.
Hi. So sorry for the slow response! Summer is a busy time for us. I've been posting these tutorials on the new Drone Lab website. You should be able to find the .prj file at: uidronelab.org/2024/07/04/close-range-photogrammetry/. Good luck! Jason
How to get calibration panel csv file sir?
Please share me, how to get it csv file?
Hi! I am trying to find the data, so i can learn - but not possible, can you share the link? thank you!
Hello Mr. Karl, I've been dedicated to a comparable project for several months now. My current endeavor involves the creation of orthomosaics using 400 historical aerial images from each decade since 1940. The images exhibit significant variability in terms of size, tone, focal distance, height, and more. I'm encountering challenges in seamlessly integrating these diverse images. Do you have any tips or recommandation ? Thank you! :)
I have images from a Mica Sense RedEdge-M camera from my UAV and i want to calibrate the reflectance in the AgiSoft Meteshape but, i dont have photos from the calibration panel. How can i calibrate the reflectance without it? There is some way were i can create a calibration image on QGIS using DN values? Or maybe extract the reflectance on QGIS and somehow import this on Agisoft? Hope that you can help!
Hi Jason, thank you so much for this detailed video. Really appreciate it!
Thank you so much for your kind contribution. Its helping us a lot. Grateful to you.
Wow, this is a really great video. A few questions: If we're doing progression monitoring of a construction site for example and we want to do a monthly orthomosaic overlay with a slider to show the difference. Would this would be a good process to go through so that the two images line up really well without having to fiddle around with them in Photoshop? If we've already created a new project for each month's work is there a way to combine them into one new project with different chunks so that we can do this alignment process? If we have one project with several months of work, will that project consume the computer resources or will it only utilize the resources needed for the active part of the project, the part in bold? Thanks!
Ww, that is gold! Cheers from Brazil!
Great video.. How do you change views in agisoft? It seems that you are using some shortcut. Also how do we have access to the course material. Is there any MOOC program that the university runs?
I've watched all of your Metshape videos and have learned a lot!! Can you please upload the video where you discuss some of the first steps like aligning photos and GCPs etc?