A Comparison of Fine and Coarse Resolution Remote Sensing Platforms for Post Fire Severity

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dc.contributor.advisorCurrit, Nathan
dc.contributor.authorPetri, Maximilian E.
dc.contributor.committeeMemberLi, Yanan Nancy
dc.date.accessioned2020-01-13T18:12:57Z
dc.date.available2020-01-13T18:12:57Z
dc.date.issued2019-12
dc.description.abstractThis study compares Landsat 8 dNBR with Planet dNDVI for burn severity measurement. The sensors were compared to ground reference data using the Composite Burn Index (CBI) and a radiospectrometer. CBI data was collected with 21 field plots from a fire on ranch land in Llano, Texas in the Summer of 2018. dNBR based on Landsat 8 produced higher r2 values (0.742) than dNDVI based on Planet imagery (0.324). Planet imagery at ~3m spatial resolution has finer details of the landscape that can help land managers, fire departments, and landowners to rehabilitate the landscape, but it lacks an MIR band, which explains its lower correlation values. The Landsat system provides better results spectrally, but Planet images can provide finer detail of the landscape and with a more flexible time/date range.
dc.description.departmentApplied Geography
dc.formatText
dc.format.extent29 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationPetri, M. E. (2019). A comparison of fine and coarse resolution remote sensing platforms for post fire severity. Master of Applied Geography Degree, Texas State University, San Marcos, TX.
dc.identifier.urihttps://hdl.handle.net/10877/9172
dc.language.isoen
dc.subjectburn severity
dc.subjectplanet
dc.subjectlandsat
dc.subjectNBR
dc.subjectNDVI
dc.subjectTexas
dc.subjectApplied Geography
dc.titleA Comparison of Fine and Coarse Resolution Remote Sensing Platforms for Post Fire Severity
dc.typeDirected Research Project
thesis.degree.departmentGeography
thesis.degree.disciplineGeographic Information Science
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Applied Geography

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