Top Tweets for #cloudmasking
One of the widely used #cloudmasking algorithms identifies white #sandy #beaches of #islands as high-probability #clouds.
This is one demonstration of the challenges in applying #remotesensing techniques which are considered reliable elsewhere, on island settings.
GEE-PICX: generating cloud-free Sentinel-2 and Landsat image composites and spectral indices for custom areas and time frames – a Google Earth Engine web application https://t.co/SMOpKB0dxC #RemoteSencing #CloudMasking #SatelliteImagery @https://t.co/5sTzucco0N @NordicOikos
Cloudy ☁️ skies, Landsat’s plight! Accurate cloud detection is key for improving the quality and usability of #Landsat data. Recently, EROS interns used #AI and #MachineLearning to develop a #CloudMasking algorithm for Landsat 9 data. Read more here: https://t.co/O1MdOvx00n
The S3-SYN-CM #cloudmasking algorithm developed by BC, Spectral Earth & @GraspSas is being prepared for further evaluation in @eumetsat's in-house environment.
Have a look at our poster recently presented at #LPS22 to learn about our novel concept of cloud & aerosol obstruction.
The 1st workshop of ACIX-III Land, Aqua and CMIX-II takes place next week.
The collaborative @ESA_EO and @NASA exercise for #AtmosphericCorrection and #CloudMasking will be extended using PRISMA hyperspectral data from @ASI_spazio.
Details➡️ https://t.co/y9WdOJcXVg @CEOS_WGCV
Day 1 of #LPS22 is almost over. But don’t miss the poster session and meet our colleague Ralf at his poster #262. Please feel free to ask him all questions you have about #Sentinel3 #cloudmasking. @eumetsat @GraspSas #spectralearth
📢 We are happy to announce the publication of #CloudMask Intercomparison eXercise (#CMIX) – An evaluation of 10 #cloudmasking algorithms for #Landsat8 and #Sentinel2.
➡️Open access paper: https://t.co/pUhEoH3vSE
@ESA_EO @NASAGoddard @UofMaryland @CEOS_WGCV
We do not have our head in the #clouds! It's here...
The outcomes of the first #CloudMasking Inter-comparison eXercise, #CMIX, just published!
An evaluation of 10 cloud masking algorithms for #Landsat8 & #Copernicus #Sentinel2. Open access paper here:
https://t.co/nxBehslE3B
For the March 29 webinar we picked the hot topics of #EO industry. Learn how we train #NeuralNetworks to identify #landcover, #CropClassification & #CloudMasking. Also, learn their functionality to detect #deforestation and tree species classification: https://t.co/2m8MBxUvfA
Do you know #IdePix - the multi-sensor pixel identification tool? As a #ESA_SNAP plugin it provides #pixelidentification algorithms for a variety of sensors like #Sentinel2.
Check the tutorial, done by GEO2004, using IdePix for automatic #cloudmasking
➡️https://t.co/JMiJVEkyUr
#ghrsst task teams are working groups set up to address particular issues related to #highres #SST, from #cloudmasking to high latitudes #SST, #coralstress...Check them out https://t.co/hiMd1Fd01E @GHRSST @eumetsat_users @CopernicusEU
We are happy to announce the publication of the
➡️PixBox-S2-CMIX (https://t.co/i3t2ZhTDfS) &
➡️PixBox-L8-CMIX (https://t.co/bTzWRlgu0W)
datasets used as a validation reference within the first #CloudMasking Inter-comparison eXercise (CMIX).
#CMIX #Landsat8 #sentinel2
@ESA_EO
"Actually, some years ago, much of the data was either nonexistent or expensive." #cloudmasking #datascreening https://t.co/oSW6yOJcdx
"For a term paper, I analyzed how we can monitor the impact of war from space." #cloudmasking #disastermanagement https://t.co/oSW6yOJcdx
"To learn more about Earth imagery analysis, we spoke to Henrik Fisser, a master’s student studying applied Earth observation at the Julius Maximilians University of Würzburg." #Earthimagery #cloudmasking https://t.co/oSW6yOJcdx
"What have you learned so far about Earth observation that has surprised you?" #satellites #cloudmasking https://t.co/oSW6yOJcdx
"At the beginning of my studies, I was surprised by how hard Earth observation data science is." #disastermanagement #cloudmasking https://t.co/oSW6yOJcdx
#RSHighlyCitedPaper
FORCE—#Landsat + #Sentinel-2 Analysis Ready Data and Beyond
By David Frantz.
👉https://t.co/gVpjpyel2s
#remotesensing
#satellite
#cloudmasking
#atmospheric
#imagecompositing
#timeseries
#datafusion
#landsurfacephenology
Probabilistic #CloudMasking for the Generation of CM SAF Cloud #Climate Data Records from AVHRR and SEVIRI #Sensors
by Karl-Göran Karlsson, Erik Johansson, et al.
👉https://t.co/Y5GVc1E0ya
#remotesensing
Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments https://t.co/e9cEishuvk
#cloudmasking
#Landsat8
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