#viirs — Public Fediverse posts

#lightpollution #darkskies #skyglow #remotesensing #viirs

Dr. John Barentine FRAS @[email protected] · 2025-07-01 · 16:14 UTC

In order to fully understand how #LightPollution affects our world, we need to know how much of it is in which places. Divergent results from different measurement methods present some tension, but recent research suggests a way forward.

Read more about how we can reconcile views of the Earth at night from above and below: http://www.darkskyconsulting.com/blog/from-ground-to-sky-reconciling-light-pollution-measurements-from-above-and-below

#lightpollution #darkskies #skyglow #remotesensing #viirs

Dr. John Barentine FRAS @[email protected] · 2025-07-01 · 16:14 UTC

In order to fully understand how #LightPollution affects our world, we need to know how much of it is in which places. Divergent results from different measurement methods present some tension, but recent research suggests a way forward.

Read more about how we can reconcile views of the Earth at night from above and below: http://www.darkskyconsulting.com/blog/from-ground-to-sky-reconciling-light-pollution-measurements-from-above-and-below

#lightpollution #darkskies #skyglow #remotesensing #viirs

Dr. John Barentine FRAS @[email protected] · 2025-07-01 · 16:14 UTC

In order to fully understand how #LightPollution affects our world, we need to know how much of it is in which places. Divergent results from different measurement methods present some tension, but recent research suggests a way forward.

Read more about how we can reconcile views of the Earth at night from above and below: http://www.darkskyconsulting.com/blog/from-ground-to-sky-reconciling-light-pollution-measurements-from-above-and-below

#viirs #remotesensing #skyglow #darkskies #lightpollution

Dr. John Barentine FRAS @[email protected] · 2025-07-01 · 16:14 UTC

In order to fully understand how #LightPollution affects our world, we need to know how much of it is in which places. Divergent results from different measurement methods present some tension, but recent research suggests a way forward.

Read more about how we can reconcile views of the Earth at night from above and below: http://www.darkskyconsulting.com/blog/from-ground-to-sky-reconciling-light-pollution-measurements-from-above-and-below

#RemoteImaging #VIIRS #satellite

#lightpollution #darkskies #skyglow #remotesensing #viirs

AI6YR Ben @[email protected] · 2025-04-28 · 14:09 UTC

Last night's nighttime view of Spain/Portugal before their power outage. (VIIRS Day/Night Band)

#remoteimaging #viirs #satellite

AI6YR Ben @[email protected] · 2025-02-14 · 05:43 UTC

Tokyo seen on VIIRS DNB Nighttime Imagery on Feb 11, 2025. That city sure has a lot of light! #Tokyo #RemoteImaging #VIIRS

#tokyo #remoteimaging #viirs

Christopher Kyba @[email protected] · 2024-12-02 · 17:59 UTC

Public service announcement:

Data from #VIIRS DNB since the summer is affected by an instrumental effect, which makes the data from the last few months darker than they should be (see e.g. this graph for Manhattan). The #NASA #BlackMarble team is working to fix it.

ht to Damien Guiraudie who wrote to me to ask what was going on, and also to Zhuosen Wang from @NASA who quickly responded to my question.

#LightPollution #RemoteSensing #EarthObservation #NighttimeLights #PSA

#viirs #nasa #blackmarble #lightpollution #remotesensing #earthobservation

Christopher Kyba @[email protected] · 2024-12-02 · 17:59 UTC

Public service announcement:

Data from #VIIRS DNB since the summer is affected by an instrumental effect, which makes the data from the last few months darker than they should be (see e.g. this graph for Manhattan). The #NASA #BlackMarble team is working to fix it.

ht to Damien Guiraudie who wrote to me to ask what was going on, and also to Zhuosen Wang from @NASA who quickly responded to my question.

#LightPollution #RemoteSensing #EarthObservation #NighttimeLights #PSA

#viirs #nasa #blackmarble #lightpollution #remotesensing #earthobservation

Christopher Kyba @[email protected] · 2024-12-02 · 17:59 UTC

Public service announcement:

Data from #VIIRS DNB since the summer is affected by an instrumental effect, which makes the data from the last few months darker than they should be (see e.g. this graph for Manhattan). The #NASA #BlackMarble team is working to fix it.

ht to Damien Guiraudie who wrote to me to ask what was going on, and also to Zhuosen Wang from @NASA who quickly responded to my question.

#LightPollution #RemoteSensing #EarthObservation #NighttimeLights #PSA

#viirs #nasa #blackmarble #lightpollution #remotesensing #earthobservation

Christopher Kyba @[email protected] · 2024-12-02 · 17:59 UTC

Public service announcement:

Data from #VIIRS DNB since the summer is affected by an instrumental effect, which makes the data from the last few months darker than they should be (see e.g. this graph for Manhattan). The #NASA #BlackMarble team is working to fix it.

ht to Damien Guiraudie who wrote to me to ask what was going on, and also to Zhuosen Wang from @NASA who quickly responded to my question.

#LightPollution #RemoteSensing #EarthObservation #NighttimeLights #PSA

#psa #nighttimelights #earthobservation #remotesensing #lightpollution #blackmarble

Christopher Kyba @[email protected] · 2024-12-02 · 17:59 UTC

Public service announcement:

Data from #VIIRS DNB since the summer is affected by an instrumental effect, which makes the data from the last few months darker than they should be (see e.g. this graph for Manhattan). The #NASA #BlackMarble team is working to fix it.

ht to Damien Guiraudie who wrote to me to ask what was going on, and also to Zhuosen Wang from @NASA who quickly responded to my question.

#LightPollution #RemoteSensing #EarthObservation #NighttimeLights #PSA

#viirs #nasa #blackmarble #lightpollution #remotesensing #earthobservation

Daniel Fischer @[email protected] · 2024-11-23 · 02:36 UTC

The infamous 'mirrored L' of #LightPollution in western Germany (with Cologne, Düsseldorf, Duisburg, Essen and Dortmund particularly prominent, from bottom to upper left to upper right) as seen by the Chinese #SDGSAT-1 - https://sdg.casearth.cn/en/mobile/datas/SDGSAT - and displayed with the online tool https://pmisson.users.earthengine.app/view/sdgsat-eu-visual which permits zooming and panning. You can either look at the SDGSAT or a #VIIRS DNS layer with less resolution and no color or a map. Now someone please convert this into a sky brightness map!

#viirs #sdgsat #lightpollution

AI6YR Ben @[email protected] · 2024-11-08 · 18:55 UTC

[lance-modis] Unavailability of SNPP L2+ EDR data products until further notice -- Update

#satellites #modis #viirs #RemoteImaging

#satellites #modis #viirs #remoteimaging

💧🌏 Greg Cocks @[email protected] · 2024-10-09 · 17:53 UTC

Fuel For Hurricane Milton [remotesensing, NASA]
--
https://earthobservatory.nasa.gov/images/153429/fuel-for-hurricane-milton <-- shared technical article
--
https://weather.ndc.nasa.gov/sport/ <-- shared link to NASA SPoRT page
--
#GIS #spatial #mapping #HurricanMilton #hurricanemilton2024 #HurricaneWarning #hurricane #extremeweather #remotesensing #climatechange #ocean #oceantemperatures #temperatures #Florida #GulfOfMexico #seasurfacetemperatures #risk #hazard #storm #stormsurge #flooding #wind #SPoRT #VIIRS #spatialanalysis #spatiotemporal #weather #weatherforecasting #satellite #global #coast #coastal #nowCOAST #disaster #naturaldisaster #naturalhazard #prediction #mitigation #planning #management #cost #economy
@nasa

#gis #spatial #mapping #hurricanmilton #hurricanemilton2024 #hurricanewarning

AI6YR Ben @[email protected] · 2024-09-28 · 02:03 UTC

Hmm, satellite hotspots in Southern Lebanon over the last 7 days 👀 #Lebanon #RemoteImaging #VIIRS #MODIS

#lebanon #remoteimaging #viirs #modis

Tino Eberl @[email protected] · 2024-08-15 · 18:20 UTC

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.

#nasa #geos #co2 #wettermodell #supercomputer #sturme

Tino Eberl @[email protected] · 2024-08-15 · 18:20 UTC

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.

#nasa #geos #co2 #wettermodell #supercomputer #sturme

Tino Eberl @[email protected] · 2024-08-15 · 18:20 UTC

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.

#nasa #geos #co2 #wettermodell #supercomputer #sturme

Tino Eberl @[email protected] · 2024-08-15 · 18:20 UTC

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.

#klimaforschung #viirs #modis #satelliteninstrumenten #erdbeobachtungen #wolkenformationen

Tino Eberl @[email protected] · 2024-08-15 · 18:20 UTC

#NASA hat mit dem #GEOS-Modell eine beeindruckende globale Karte des #CO2-Ausstoßes erstellt. Das hochauflösende #Wettermodell nutzt #Supercomputer und Milliarden von Datenpunkten, um atmosphärische Ereignisse wie #Stürme und #Wolkenformationen darzustellen. Das Modell zieht Daten von #Erdbeobachtungen und #Satelliteninstrumenten, darunter #MODIS und #VIIRS, heran und liefert eine Auflösung, die über 100 Mal höher ist als die typischer Wettermodelle.