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Bayesian Cloud Detetion for AVHRR SST Retrieval

Claire Bulgin
2017 Zenodo  
Poster presented at the 18th GHRSST science meeting (XVIII), Qingdao, China, June 5 - 9, 2017.  ...  Extract shows daytime imagery in a sunglint region, red colour in the cloud masks denotes clear-sky.  ...  Figure 3 ::Figure 4 : 34 SST differences between satellite retrievals and drifting buoys for nighttime(upper) and daytime (lower) retrievals.  ... 
doi:10.5281/zenodo.5163797 fatcat:oigniwtn6ngttbethp7zdezd5q

Urbanisation-Induced Land Cover Temperature Dynamics for Sustainable Future Urban Heat Island Mitigation

Andrew MacLachlan, Eloise Biggs, Gareth Roberts, Bryan Boruff
2017 Urban Science  
Conversely, change from grassland to urban minimises temperature change at 0.16 • C and 0.77 • C for annual daytime and nighttime temperature respectively.  ...  Results indicate that land cover change from forest to urban is associated with the greatest annual daytime and nighttime temperature change of 0.40 • C and 0.88 • C respectively.  ...  and the Goddard Space Flight Center for MODIS land surface temperature imagery.  ... 
doi:10.3390/urbansci1040038 fatcat:oljgki452bfpvb5vnystdbkzjm

Object Recognition for Economic Development from Daytime Satellite Imagery [article]

Klaus Ackermann, Alexey Chernikov, Nandini Anantharama, Miethy Zaman, Paul A Raschky
2020 arXiv   pre-print
Reliable data about the stock of physical capital and infrastructure in developing countries is typically very scarce.  ...  We contribute to the growing body of literature in this area by training our machine learning algorithm on ground-truth data. We show that our approach strongly improves the predictive accuracy.  ...  (Engstrom et al. 2017 ) used daytime satellite imagery and survey data to estimate the poverty rates of 3,500 km2 subnational areas in Sri Lanka.  ... 
arXiv:2009.05455v1 fatcat:6n45otsed5e5ji66ybpj37r324

Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data

Zhuosen Wang, Miguel O. Román, Virginia L. Kalb, Steven D. Miller, Jianglong Zhang, Ranjay M. Shrestha
2021 Remote Sensing of Environment  
Errors introduced by upstream data inputs (e.g., a coarser nighttime snow cover flag and misclassification errors in the existing VIIRS nighttime cloud mask) were also found to impact retrieval quality  ...  Satellite observations of nighttime lights (NTL) from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data have been widely used to estimate human activities.  ...  The funders had no role in study design, data collection and analysis, decisions to publish, or preparation of the manuscript.  ... 
doi:10.1016/j.rse.2021.112557 fatcat:nn5tsgv2mbezvp76mgg4mgd63y

Temporal patterns of phytoplankton phenology across high latitude lakes unveiled by long-term time series of satellite data

Eduardo Eiji Maeda, Filipe Lisboa, Laura Kaikkonen, Kari Kallio, Sampsa Koponen, Vanda Brotas, Sakari Kuikka
2019 Remote Sensing of Environment  
Our results showed an increase in the length of phytoplankton growth season in three of the lakes.  ...  Likewise, additional studies are needed to better understand why chl a patterns in some lakes seem to be more resilient than in others.  ...  On average, the warm season started in April and ended in October in all four lakes. The maximum Ts was generally observed during July, for both daytime and nighttime Ts.  ... 
doi:10.1016/j.rse.2018.12.006 fatcat:ksjw2xwdobgrdphfwkt5wfd23m

Temporal characteristics of thermal satellite images for urban heat stress and heat island mapping

Janet E. Nichol, Pui Hang To
2012 ISPRS journal of photogrammetry and remote sensing (Print)  
The nighttime images were found to be more representative of air temperature at other times than the daytime images, due to a more stable boundary layer, with lower wind speeds and temperature inversion  ...  Therefore the nighttime images can be considered representative of a commonly occurring summer nighttime situation in Hong Kong, and can be used to determine the locations of areas where temperatures commonly  ...  Olympian Kwok for technical support in processing the images. Grants 5006-PPR-09 and PolyU 5264/08E supported this research.  ... 
doi:10.1016/j.isprsjprs.2012.09.007 fatcat:awurqwdolbdill6imww2mg4kgy

Saharan dust in nighttime thermal imagery: Detection and reduction of related biases in retrieved sea surface temperature

C.J. Merchant, O. Embury, P. Le Borgne, B. Bellec
2006 Remote Sensing of Environment  
nighttime (infraredonly) SEVIRI imagery.  ...  Saharan dust (aerosol) on brightness temperatures at 3.9, 8.7, 11 and 12 μm measured by the Spinning Enhanced Visible and Infrared Imager (SEVIRI), we propose an indicator of the presence of Saharan dust in  ...  In this data set, dust-affected regions, were identified by "expert" inspection in nighttime imagery with reference to previous and later daytime SEVIRI imagery-where aerosol is clearly visible in reflectance  ... 
doi:10.1016/j.rse.2006.03.007 fatcat:s36rhlj4xrbsnd6bhzmozjwjay

The sensitivity of the colour of dust in MSG-SEVIRI Desert Dust infrared composite imagery to surface and atmospheric conditions

Jamie R. Banks, Anja Hünerbein, Bernd Heinold, Helen E. Brindley, Hartwig Deneke, Kerstin Schepanski
2019 Atmospheric Chemistry and Physics  
">µm</span>, thereby boosting red and pink colours in the imagery.  ...  Dust is characterised by distinctive pink colours in the Desert Dust false-colour imagery; however, the precise colour is influenced by numerous environmental properties, such as the surface thermal emissivity  ...  colours in the imagery.  ... 
doi:10.5194/acp-19-6893-2019 fatcat:uy6iecgvurhshglonsnguyyone

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford
2022 IEEE Robotics and Automation Letters  
Road segmentation in challenging domains, such as night, snow or rain, is a difficult task.  ...  In this research, we remove these restrictions by improving road segmentation based on similar places.  ...  , captured at nighttime, twilight and daytime.  ... 
doi:10.1109/lra.2022.3146894 fatcat:z6q2bzbbore35nvzwqfrjjwvuu

Front Matter: Volume 9987

Proceedings of SPIE, David A. Huckridge, Reinhard Ebert, Stephen T. Lee
2016 Electro-Optical and Infrared Systems: Technology and Applications XIII  
9987-17] 9987 0I Real-time person detection in low-resolution thermal infrared imagery with MSER and CNNs [9987-18] 9987 0J Improved colour matching technique for fused nighttime imagery with daytime  ...  Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at  ... 
doi:10.1117/12.2264048 fatcat:dew3y77hvzfh5f2trpdfuy3mnu

Combined Dust Detection Algorithm for Asian Dust Events Over East Asia Using GK2A/AMI: a Case Study in October 2019

Jae-Cheol Jang, Soobong Lee, Eun-Ha Sohn, Yoo-Jeong Noh, Steven D. Miller
2021 Asia-Pacific Journal of Atmospheric Sciences  
For quantitative validation, we used aerosol optical thickness (AOT) and fine mode fraction (FMF) derived from low Earth orbit (LEO) satellites in daytime.  ...  In particular, the combined algorithm was advantageous in detecting weak dust storms passing over the warm and humid Yellow Sea with low dust height and small AOT.  ...  The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material.  ... 
doi:10.1007/s13143-021-00234-5 fatcat:xb5noyuqpvhgnok7dughhlvexm

Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring

Robert Allison, Joshua Johnston, Gregory Craig, Sion Jennings
2016 Sensors  
In this review we outline the state of the art in direct, semi-automated and automated fire detection from both manned and unmanned aerial platforms.  ...  We discuss the operational constraints and opportunities provided by these sensor systems including a discussion of the objective evaluation of these systems in a realistic context.  ...  Firefighters in Australia reportedly used a small quadcopter, the Lockheed-Martin Indago, to gather nighttime infrared imagery of a fire near Perth in 2015 [75] .  ... 
doi:10.3390/s16081310 pmid:27548174 pmcid:PMC5017475 fatcat:iktzg7cbabcxjay6m3ij5db3ki

Bayesian Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data

Claire Bulgin, Jonathan Mittaz, Owen Embury, Steinar Eastwood, Christopher Merchant
2018 Remote Sensing  
This shows an improvement in the central distribution of SST differences for daytime retrievals.  ...  The Bayesian scheme reduces the absolute difference between the mean and median SST biases and reduces the standard deviation of the SST differences by ∼10% for both daytime and nighttime retrievals.  ...  Chris Merchant oversaw the science development team, providing critical scientific input in the development process.  ... 
doi:10.3390/rs10010097 fatcat:77lwa5lqg5cxtovcmsvezqkc2a

Urban Wallpaper: Film Posters, City Walls and the Cinematic Public in South Asia

Lotte Hoek
2016 South Asia: Journal of South Asian Studies  
and for an encounter with imagery that is considered luminous and intense, afflicting the crowds that pass them by in the congested city.  ...  They are so ubiquitous that you could easily miss the rapid turnover of these brightly coloured announcements.  ...  The ideas and arguments in this "Urban Wallpaper" -Hoek Published in South Asia 39(1): [73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89][90][91][92] 2016  ... 
doi:10.1080/00856401.2016.1139029 fatcat:qf7zcxnlercmti4474zfozwzs4

Radiative budget and cloud radiative effect over the Atlantic from ship-based observations

J. Kalisch, A. Macke
2012 Atmospheric Measurement Techniques  
This overestimation in solar cooling is mostly caused by the shortwave impact of convective clouds. The latter show a large overestimation in solar cooling of up to 114 W m<sup>−2</sup>.  ...  The strongest surface longwave cloud effects were shown in the presence of low level clouds.  ...  We kindly acknowledge the support in various SCM input-output conversions and model runs by Timo Hanschmann from the Leibniz-Institute for Tropospheric Research (IfT).  ... 
doi:10.5194/amt-5-2391-2012 fatcat:vnw67co33ran7dt4qvauba2mdi
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