Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Casey A. Graff"'
Autor:
Yang Chen, Stijn Hantson, Niels Andela, Shane R. Coffield, Casey A. Graff, Douglas C. Morton, Lesley E. Ott, Efi Foufoula-Georgiou, Padhraic Smyth, Michael L. Goulden, James T. Randerson
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-15 (2022)
Measurement(s) Wildfire half-daily perimeters and attributes Technology Type(s) Remote sensing Sample Characteristic - Organism Wildfires Sample Characteristic - Environment Ecosystems Sample Characteristic - Location California
Externí odkaz:
https://doaj.org/article/b6ecddf521a446a7a9957552d6b3ed87
Autor:
Yang Chen, James T. Randerson, Shane R. Coffield, Efi Foufoula‐Georgiou, Padhraic Smyth, Casey A. Graff, Douglas C. Morton, Niels Andela, Guido R. van derWerf, Louis Giglio, Lesley E. Ott
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Abstract Fire emissions of gases and aerosols alter atmospheric composition and have substantial impacts on climate, ecosystem function, and human health. Warming climate and human expansion in fire‐prone landscapes exacerbate fire impacts and call
Externí odkaz:
https://doaj.org/article/a1beb92615af452f91cc090bdafe6016
Autor:
Padhraic Smyth, Efi Foufoula-Georgiou, Shane R. Coffield, Casey A. Graff, Yang Chen, James T. Randerson
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:4837-4851
Wildfires and their emissions reduce air quality in many regions of the world, contributing to thousands of premature deaths each year. Smoke forecasting systems have the potential to improve health outcomes by providing future estimates of surface a
Publikováno v:
Limnology and Oceanography Methods, vol 17, iss 8
Limnology and Oceanography: Methods, vol 17, iss 8
Limnology and Oceanography: Methods, vol 17, iss 8
Author(s): Ellen, JS; Graff, CA; Ohman, MD | Abstract: Advances in both hardware and software are enabling rapid proliferation of in situ plankton imaging methods, requiring more effective machine learning approaches to image classification. Deep Lea
Autor:
Efi Foufoula-Georgiou, Yang Chen, Padhraic Smyth, James T. Randerson, Casey A. Graff, Shane R. Coffield
Publikováno v:
International journal of wildland fire
Fires in boreal forests of Alaska are changing, threatening human health and ecosystems. Given expected increases in fire activity with climate warming, insight into the controls on fire size from the time of ignition is necessary. Such insight may b
Autor:
Efi Foufoula-Georgiou, Louis Giglio, Guido R. van der Werf, Yang Chen, Lesley Ott, Padhraic Smyth, Shane R. Coffield, James T. Randerson, Casey A. Graff, Douglas C. Morton, Niels Andela
Publikováno v:
Chen, Y, Randerson, J T, Coffield, S R, Foufoula-Georgiou, E, Smyth, P, Graff, C A, Morton, D C, Andela, N, van der Werf, G R, Giglio, L & Ott, L E 2020, ' Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales ', Journal of Advances in Modeling Earth Systems, vol. 12, no. 9, e2019MS001955, pp. 1-25 . https://doi.org/10.1029/2019MS001955
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Journal of advances in modeling earth systems, vol 12, iss 9
Journal of Advances in Modeling Earth Systems, 12(9):e2019MS001955, 1-25. Wiley-Blackwell
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Journal of advances in modeling earth systems, vol 12, iss 9
Journal of Advances in Modeling Earth Systems, 12(9):e2019MS001955, 1-25. Wiley-Blackwell
Fire emissions of gases and aerosols alter atmospheric composition and have substantial impacts on climate, ecosystem function, and human health. Warming climate and human expansion in fire‐prone landscapes exacerbate fire impacts and call for more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dd2342e474f100fa3f0d390eae24738
https://orca.cardiff.ac.uk/id/eprint/138486/1/2019MS001955.pdf
https://orca.cardiff.ac.uk/id/eprint/138486/1/2019MS001955.pdf
Autor:
Casey A. Graff, Jeffrey Ellen
Publikováno v:
ICMLA
This paper describes three metrics used to asses the filter diversity learned by convolutional neural networks during supervised classification. As our testbed we use four different data sets, including two subsets of ImageNet and two planktonic data