Comparison of VIIRS Active Fire Data and Sentinel–2 Data for Mapping Agricultural Burning in Kenya

dc.contributor.authorRucker, Marcus
dc.date.accessioned2023-08-03T16:44:07Z
dc.date.available2023-08-03T16:44:07Z
dc.date.issued2023
dc.description1 Broadside. 48"W x 36"Hen_US
dc.description.abstractRationale: FAO reported increased greenhouse gas emissions from crop residue burning. Remote sensing techniques can be used to identify locations of fires, in real time and within satellite imagery. Kenya has minimal data for tracking agricultural burning. Project Goals: Use remote sensing techniques to identify fire locations. Are there burn scars in Sentinel–2 imagery? Is analyzing Sentinel–2 imagery an effective method for mapping agricultural burn scars compared to VIIRS data?en_US
dc.description.sponsorshipKalamazoo College. Department of Biology. Diebold Symposium, 2023en_US
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://cache.kzoo.edu/handle/10920/44664
dc.language.isoen_USen_US
dc.publisherKalamazoo, Mich. : Kalamazoo Collegeen_US
dc.relation.ispartofKalamazoo College Diebold Symposium Presentation Collectionen
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder.en
dc.titleComparison of VIIRS Active Fire Data and Sentinel–2 Data for Mapping Agricultural Burning in Kenyaen_US
dc.typePresentationen_US
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