Todd Horn AT 409: Impact of altitude on high-resolution multi-spectral remote sensing for hardwood forest species delineation

The research project chosen is looking into the impact of altitude on high-resolution multi-spectral remote sensing for hardwood forest species delineation. We are looking to see if there is a considerable difference in the collection of data with a manned aircraft versus an unmanned aircraft. Altitude is the biggest factor between the two, the unmanned system will fly lower while the manned will fly at a greater altitude. The purpose of an annotated bibliography is to let the reader or viewer get an insight on what has been done that concerns our research. An annotated bibliography consists of articles, journals, research papers, and books that have been published (preferably peer-reviewed). A research timeline is also an important aspect of this research. A research timeline lets groups see where they should be in terms of the process of the research. This can be done in a lot of ways but the most common one is a Gantt chart.

(Adão et al., 2017)

Adão, T., Hruška, J., Pádua, L., Bessa, J., Peres, E., Morais, R., & Sousa, J. J. (2017). Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry. Remote Sensing, 9(11), 1-30. doi:10.3390/rs9111110

This article focuses on the use of hyperspectral sensors in UAS use. It addresses the advantages of hyperspectral sensors over the use of RGB or NIR cameras for data acquisition for agriculture and forestry. This is a great source of information for this because it highlights drone usage and checklists for those platforms and how to effectively collect that data. The only setback from this article is that it doesn’t talk too in-depth about the use of this for certain scenarios in forest and agriculture.

(Bonnet, Lisein, & Lejeune, 2017)

Bonnet, S., Lisein, J., & Lejeune, P. (2017). Comparison of UAS photogrammetric products for tree detection and characterization of coniferous stands. International Journal of Remote Sensing, 38(19), 5310-5337. doi:10.1080/01431161.2017.1338839

This article goes into depth about the use of UAS to detect trees and asses forest attributes for coniferous trees. More specifically the age of the trees and the surrounding age of the trees. While this article is great for potentially seeing how they did it, it doesn’t give us a great idea of what to expect for ours. The group could potentially get some ideas from this paper on how to go about doing our research. It also does not compare it to manned aircraft.

(Gabrlik, la Cour-Harbo, Kalvodova, Zalud, & Janata, 2018)

Gabrlik, P., la Cour-Harbo, A., Kalvodova, P., Zalud, L., & Janata, P. (2018). Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry. International Journal of Remote Sensing, 39(15/16), 4931-4959. doi:10.1080/01431161.2018.1434331

In this article, the studying being done is to see how well they can calibrate and function a custom built multi-sensor for direct georeferencing. This would enable them to get centimeter level accuracy for mapping an area. This article shows a lot about RTK, GNS, and INS which could be used for our project to get the data most accurately. The article has good information on these but for our use the article does not give much about the actual data being collected.

(Getzin, Nuske, & Wiegand, 2014)

Getzin, S., Nuske, R. S., & Wiegand, K. (2014). Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests. Remote Sensing, 6(8), 6988-7004. doi:10.3390/rs6086988

This article is looking into gap distribution of forests being reflected by the impact of man-made tree harvesting or whether it is naturally occurring patterns of tree death. It goes into more causes that could be having this effect on the forest, they use UAV because of the small gaps between the trees. Those cannot be measured accurately with manned planes. This article is great because it shows how they utilized a drone for this reason and how it worked. It goes into more detail than we know of, but it is still good to get a knowledgeable base one. This article does not go into detail on how much more accurate this data is than if it was a regular manned plane.

(Lisein, Michez, Claessens, & Lejeune, 2015)

Lisein, J., Michez, A., Claessens, H., & Lejeune, P. (2015). Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery. PLoS ONE, 10(11), 1-20. doi:10.1371/journal.pone.0141006

In this article it addresses how and when UAS should be used to efficiently discriminate deciduous tree species. In goes into detail that they are trying to find the best way to achieve the optimal species discrimination and when. They state when they start and when they end, then classify the data to discriminate tree species. This is a great article for our group since this is very close to what we are doing. Instead of doing deciduous tree species we are doing general tree species and if there is a difference between manned and unmanned. Very good article for our group.

(Manfreda et al. 2018)

Manfreda, S., M. E. McCabe, P. E. Miller, R. Lucas, V. P. Madrigal, G. Mallinis, E. Dor, D. Helman, L. Estes, G. Ciraolo, J. Mullerova, F. Tauro, M. I. de Lima, Jlmp del Lima, A. Maltese, F. Frances, K. Caylor, M. Kohv, M. Perks, G. Ruiz-Perez, Z. Su, G. Vico, and B. Toth. 2018. "On the Use of Unmanned Aerial Systems for Environmental Monitoring." Remote Sensing 10 (4). doi: 10.3390/rs10040641

This study goes into the use of UAV in environmental monitoring. It discusses how this is done mostly by ground and satellites but now it can be done easier and much more efficient with UAVs. It talks about how ground and satellites have certain constraints that limit them while UAV have little that limits them. The papers aim is to provide an overview of the existing research of UAS in these fields.

(Pádua et al., 2018)

Pádua, L., Hruška, J., Bessa, J., Adão, T., Martins, L. M., Gonçalves, J. A., . . . Sousa, J. J. (2018). Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs. Remote Sensing, 10(1), 1-N.PAG. doi:10.3390/rs10010024

This papers topic looks at the advantages and challenges related to UAVs for imagery and data collection in forestry and costal environments. It states that two case studies are done one focusing on chestnut tree health and the second on the sandpit of Cabedelo in different time periods. This paper has some good points mostly talking about how UAS and sensors have really taken off. Though, it does not touch base with out project too much, other than techniques used for the chesnut tree health we can only learn from how they managed to carry out how they did it.

(Puliti, Ørka, Gobakken, & Næsset, 2015)

Puliti, S., Ørka, H. O., Gobakken, T., & Næsset, E. (2015). Inventory of Small Forest Areas Using an Unmanned Aerial System. Remote Sensing, 7(8), 9632-9654. doi:10.3390/rs70809632

This article mostly looks at the use of UAVs to inventory small forests. This study uses 3D variables from UAV imagery with ground reference data to create linear models for mean height, dominant height, stem number, basal area, and stem volume. The data surrounding this topic before this study (said in the article) was said to be inconsistent and unreliable. This is a good article since we are looking at forests and categorizing them, but it doesn’t talk about species. It only touches on size and actual tree dimensions.

(Singh and Frazier 2018)

Singh, K. K., and A. E. Frazier. 2018. "A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications." International Journal of Remote Sensing 39 (15-16):5078-5098. doi: 10.1080/01431161.2017.1420941.

This article performed a search using UAS related keywords to identify peer reviewed studies. They then filtered the results to a couple of keywords. After that, they selected a subset then deeply analyzed each study. They found that UAS practices need better standardization of methods and procedures for UAS data collection and practices.

(Wieser et al., 2017)

Wieser, M., Mandlburger, G., Hollaus, M., Otepka, J., Glira, P., & Pfeifer, N. (2017). A Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter. Remote Sensing, 9(11), 1-11. doi:10.3390/rs9111154

This study looks at diameter breast height of trees in forestry. They use laser scanners that create high resolution point clouds onboard UAS. The diameter breast height is estimated from a UAS point cloud. This study is good for us for methods and techniques, but the data is not too useful, they are using sensors to measure actual dimensions while we use sensors to classify data.

Timeline

Above is a Gantt chart, it is a method of tracking progress. It is used widely in many industries to keep track of the timeline that they need to follow, especially in the aviation industry. This Gantt chart was made for this study. It starts in the beginning of the school year and goes until the end of the spring semester. In the beginning, research on similar case studies to see if it has either already been done or methods which people used is looked at. It gives an outlook on how the project might go, or if it is a question that needs answered. During this time data collection is done, because they can be done independent of each other. Since the project has a manned aircraft that needs an integrated sensor, it is also put in under integration of sensors. The second half of the integration is also taking the sensor off the manned aircraft, since it could take a little longer than simply taking a couple of bolts out. After data collection begins, data analysis can also happen, overlapping with other tasks. As data analysis is going on, it runs into conclusion of the study and the paper. As the analysis takes place it will be noted.

Getzin, S., Nuske, R. S., & Wiegand, K. (2014). Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests. Remote Sensing, 6(8), 6988-7004. doi:10.3390/rs6086988

Puliti, S., Ørka, H. O., Gobakken, T., & Næsset, E. (2015). Inventory of Small Forest Areas Using an Unmanned Aerial System. Remote Sensing, 7(8), 9632-9654. doi:10.3390/rs70809632

Todd Horn AT 409

Pages

Thursday, November 15, 2018

Impact of altitude on high-resolution multi-spectral remote sensing for hardwood forest species delineation

No comments:

Post a Comment