Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Eriita Jones"'
Autor:
Sha Lu, Eriita Jones, Liang Zhao, Yu Sun, Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O'Hehir, Stefan Peters
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9629-9640 (2024)
This article presents our research in the prelaunch phase of the Kanyini mission, which aims to implement an energy-efficient, AI-based system onboard for early fire smoke detection using hyperspectral imagery. Our approach includes three key compone
Externí odkaz:
https://doaj.org/article/d164e9f9f65946e4b799883e6b079b86
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 12, Pp 1695-1716 (2020)
VIIRS 375 m active fire data (VNP14IMG), the highest spatial resolution available cost-free fire product, were assessed for representing fire in typical degraded tropical peatlands in Indonesia. The results of applying the Tropical Peatland Combustio
Externí odkaz:
https://doaj.org/article/8b86910fa5de45e3bd836ec8b331e073
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3958 (2020)
This study establishes a new technique for peatland fire detection in tropical environments using Landsat-8 and Sentinel-2. The Tropical Peatland Combustion Algorithm (ToPeCAl) without longwave thermal infrared (TIR) (henceforth known as ToPeCAl-2) w
Externí odkaz:
https://doaj.org/article/69af2ffdecbd45d396ff56a3601c5c7c
Publikováno v:
Remote Sensing, Vol 6, Iss 6, Pp 5184-5237 (2014)
Thermal inertia and albedo provide information on the distribution of surface materials on Mars. These parameters have been mapped globally on Mars by the Thermal Emission Spectrometer (TES) onboard the Mars Global Surveyor. Two-dimensional clusters
Externí odkaz:
https://doaj.org/article/a2568b404dc94113a876eb4646f2f7be
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1013 (2019)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/fe89184b73c34de699d23adc319abe5e
Publikováno v:
Remote Sensing, Vol 11, Iss 4, p 465 (2019)
A Tropical Peatland Combustion Algorithm (ToPeCAl) was first established from Landsat-8 images acquired in 2015, which were used to detect peatland combustion in flaming and smouldering stages. Detection of smouldering combustion from space remains a
Externí odkaz:
https://doaj.org/article/13a4d001022749e5bb3bd3255b87a8ee
Autor:
Mark D. McDonnell, Eriita Jones, Megan E. Schwamb, K-Michael Aye, Ganna Portyankina, Candice J. Hansen
Publikováno v:
McDonnell, M D, Jones, E, Schwamb, M E, Aye, K-M, Portyankina, G & Hansen, C J 2023, ' Planet Four: a neural network’s search for polar spring-time fans on Mars ', Icarus, vol. 391, 115308 . https://doi.org/10.1016/j.icarus.2022.115308
Dark deposits visible from orbit appear in the Martian south polar region during the springtime. These are thought to form from explosive jets of carbon dioxide gas breaking through the thawing seasonal ice cap, carrying dust and dirt which is then d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::965bfb1b52b4ea7866af3686fd7c78ab
https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e
https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e
Publikováno v:
Remote Sensing, Vol 12, Iss 3958, p 3958 (2020)
Remote Sensing; Volume 12; Issue 23; Pages: 3958
Remote Sensing; Volume 12; Issue 23; Pages: 3958
This study establishes a new technique for peatland fire detection in tropical environments using Landsat-8 and Sentinel-2. The Tropical Peatland Combustion Algorithm (ToPeCAl) without longwave thermal infrared (TIR) (henceforth known as ToPeCAl-2) w
Autor:
Sebastien Wong, Anthony Milton, Mark D. McDonnell, Joseph Sclauzero, Eriita Jones, Holly Whittenbury
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 934 (2020)
Remote Sensing; Volume 12; Issue 6; Pages: 934
Remote Sensing; Volume 12; Issue 6; Pages: 934
Precision viticulture benefits from the accurate detection of vineyard vegetation from remote sensing, without a priori knowledge of vine locations. Vineyard detection enables efficient, and potentially automated, derivation of spatial measures such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17c5bbb9a2f075a5725e8e68e1178030
https://hdl.handle.net/11541.2/141741
https://hdl.handle.net/11541.2/141741
Publikováno v:
Acta Astronautica. 133:195-220
Astronauts working on the surface of Mars have the capability to explore efficiently, rapidly, and flexibly, allowing them to perform a wide range of field investigations. NASA has begun an open international process to identify and evaluate candidat