NASA ARSET Datos de SIF Completos (Gap-Filled)
The Story
Welcome to this highly specialized and technically insightful episode of the NASA Live Video Podcast: "NASA ARSET: Datos de SIF Completos (Gap-Filled)."In this episode, we dive into one of the most powerful and direct indicators of planetary health and photosynthetic activity: Solar-Induced Chlorophyll Fluorescence (SIF). Unlike traditional vegetation indices that only measure greenness, SIF captures the actual functional tracks of photosynthesis from space, allowing scientists to monitor real-time crop yields, vegetation stress, and gross primary productivity (GPP).
Through the framework of NASA’s Applied Remote Sensing Training (ARSET) program, we focus heavily on the data processing breakthroughs that address spatial and temporal gaps in satellite observations. We break down the methodologies used to generate "Gap-Filled" (Completos) SIF datasets—integrating machine learning, orbital modeling, and high-resolution data assimilation to provide continuous, cloud-free, and high-revisit global data layers. We also discuss how these optimized datasets are applied to early drought detection and carbon cycle tracking.
Whether you are an agricultural analyst, an ecologist, a climate modeler, or a space enthusiast curious about how next-generation data modeling tracks the breathing of Earth's vegetation, this episode delivers critical technical insights. Subscribe to the NASA Live Video Podcast to stay connected with the absolute frontier of space exploration, remote sensing datasets, and cutting-edge earth science!
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Speaker 2: the manera approxima, laionni corn belts and sturn de maiss
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Speaker 2: Observamento de la protividad, the sero punto sero qua quadro
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Speaker 1: Po puntas. Then contact Jackie Ryan or Karen.
Speaker 2: Jwanco jeamo al finale no solotation, Tollo participants and and
Speaker 2: bital the o Jackie Ryan Yatolo instructories in vitalos and
Speaker 2: tapasaz a.
Speaker 1: La session, the prejuntas repoetas.
Speaker 2: Hm okay and this delco seven modificari the SIF. So
Speaker 2: which cells in the code should you modify to calculate
Speaker 2: g p P from sif jaquie go ahead?
Speaker 4: Uh, I made a mistake in the demonstration. You would
Speaker 4: want to modify. Hold on, let me pull it up.
Speaker 2: Yeah, so maybe you can share your screen.
Speaker 4: Yeah, uh.
Speaker 1: Uh, So.
Speaker 5: You'll want to go.
Speaker 4: Here and you'll want to specify data set equal to
Speaker 4: gosive gpp v two. So you'll need to modify this function.
Speaker 5: And you can see that in our helper functions this
Speaker 5: keyword right here.
Speaker 2: All right, So you'll have to go a little bit
Speaker 2: slower because it's hard to see your mouse and what
Speaker 2: you open. But so this is the helper function and
Speaker 2: this needs to be updated. Then this specific.
Speaker 4: Yeah, so it has a default of gosif v two.
Speaker 2: And in.
Speaker 4: The cell that I was showing, the second cell here,
Speaker 4: the one you add the data set equal to cosive
Speaker 4: gpp v two to this function.
Speaker 3: In the cell.
Speaker 2: Okay, okay, inoses logosive gpp dos. Right, that's correct, Okay,
Speaker 2: all right, thank you jackie, Okay, la prime different on
Speaker 2: the sum your mol the target there and plasa plas
Speaker 2: reporta jaquila report no perosi and differentes momentos so mimo
Speaker 2: lam know as you get lo the sam recopila or
Speaker 2: some recopila observation and unaria approximament ocenda kilometro kilometros and
Speaker 2: uper minos observation and molo petio molo targets sam utilisa
Speaker 2: principal mentor para fin the validas okay lass le sona
Speaker 2: differentia pacific and an other way is if reportall any
Speaker 2: other way you needed a color the last plantas as
Speaker 2: he gets la relacion and relation you know, the the
Speaker 2: la banda, the reflectancia, the rojo elfrarojscano see if part
Speaker 2: timama party, the spectrometros eta legalo a la reporta physical
Speaker 2: de la planta basia any other way look hell color
Speaker 2: the la plantas usual mene is a gambio and a
Speaker 2: color the porla plants noah any the way at the
Speaker 2: manas the la planta poor quaira song pour qua direct
Speaker 2: resor no and gambio. SEF is my directa real mende
Speaker 2: n s a momento like TV that photo synthetical plants
Speaker 2: came and the way round observation. Okay la plant. Additionallys
Speaker 2: rep I use a flex yet and these pa e
Speaker 2: superrincipal is as a medici, the siftesjando and medician the latos,
Speaker 2: the siflies quentan lavanda petreles medici on the SI com
Speaker 2: tempo scenarios or in North America e la on the
Speaker 2: product CIF can complement and la temporal the uh the
Speaker 2: theses and toss you a complete Yeah time India, Jackie
Speaker 2: Guy and I are una uh a pro that complementing
Speaker 2: cod LA convenac the ghost in the last information quale
Speaker 2: resolution TEMP temple DNA information. So Jackie, if you want
Speaker 2: to go ahead and respond to that, so with SEF,
Speaker 2: what is the temple resolution and how how often is
Speaker 2: this information available?
Speaker 1: Uh?
Speaker 4: It depends on the data set that you're working with.
Speaker 4: So PREGOSEF that we worked with today, it's every eight days.
Speaker 4: For instrument data that we looked at earlier in the course.
Speaker 4: The data is available theoretically on a daily basis. And
Speaker 4: then for the tropos data that we did not cover
Speaker 4: directly in this course. The data is available every hour
Speaker 4: and a half.
Speaker 2: Okay, thank you, Jackie continoos los o.
Speaker 1: O c o.
Speaker 2: What is the temporal resolution of OSIO two?
Speaker 1: Uh daily?
Speaker 2: So on the arios, the tress tress, the different temple
Speaker 2: momento e tamen tropomis observation or okay, la nalysis temporal
Speaker 2: anion neutrosina relation the SIF. All right, So the next
Speaker 2: question number five, so can you do a temporal analysis, so,
Speaker 2: for example, a ten year analysis based on new for
Speaker 2: years so nina nino lanina years and relates the SIFF results.
Speaker 4: Uh yeah, So this is a good use case for
Speaker 4: the gap filled products that we looked at today. Since
Speaker 4: the GOSIVE data goes back to two thousand, you'll have
Speaker 4: a lot more years to work with for a long
Speaker 4: term temporal analysis like that.
Speaker 2: Okay. In tosas jaquie no hiss a game on sons
Speaker 2: and a see game and we went on analysis alardo
Speaker 2: plaza okay, latimos rolo portiore no sol benefici portios. All right.
Speaker 2: So question number seven, so has there been a study
Speaker 2: on the impact of the floods. The twenty eighteen floods
Speaker 2: in in posterior years. So that means that not only
Speaker 2: in twenty nineteen, but after twenty nineteen as well, because
Speaker 2: it's possible that there are benefits in productivity in the
Speaker 2: years after the fire.
Speaker 4: Yeah so, or not the fire, the flood, but yeah,
Speaker 4: so correct with this one. You would need to differentiate
Speaker 4: increases in productivity due to terrestrial water storage compared to
Speaker 4: increases in productivity due to other factors such as better
Speaker 4: hybrids or fertilizer usage.
Speaker 1: So the.
Speaker 4: Slope of the yield curve that we looked at also
Speaker 4: influences the observed ceffen GPP, So you would want to
Speaker 4: incorporate something like terrestrial water storage to try to perform
Speaker 4: like an attribution analysis sor if that's kind of a
Speaker 4: complicated answer.
Speaker 2: Not at all, thanks, okay, this okay? Ce differencia, elmento
Speaker 2: and productivida, the villal al masamiento, the water vector and comparison,
Speaker 2: the productivi, the video auto factories, amos, irids and relation
Speaker 2: and imento or mere practicas, the coultivos et cetera.
Speaker 1: See A.
Speaker 2: La comation is in corporeal that the water rector para
Speaker 2: analysis the attribution. Okay, great, so let's move on to
Speaker 2: the next question last nilo si parasona and now we
Speaker 2: don't send you fores. So what results have there have
Speaker 2: there has SIEF had for areas where there have been forest.
Speaker 4: Fires, as was noted down there. This is similar to
Speaker 4: what we looked at in Part two. As you might expect,
Speaker 4: in regions that get burned, you'll see a decrease in
Speaker 4: SIF in the short term. But burned scars can be
Speaker 4: very complex in areas where they occur. So with relatively
Speaker 4: low resolution like we get with OHCO two, OHSO three
Speaker 4: and even our gap filled products, it can be difficult
Speaker 4: to separate the spatial heterogeneity from the amount of averaging
Speaker 4: that we have to do to get confident results from
Speaker 4: the SIFT data. And so because of that, what we
Speaker 4: saw in our exercise was that the SIF GPP relationship
Speaker 4: diverged between what OSTWO measured.
Speaker 5: And what we saw on the ground.
Speaker 4: In general, when you look at fires, you want to
Speaker 4: look at specifically what areas burned, using perhaps like other
Speaker 4: higher resolution data, and then tie that back to the
Speaker 4: SIF afterwards, so that you can have well filtered.
Speaker 2: Data great, Thank you very much, Jackie and jack similar
Speaker 2: manuc and sif a cordo plazo pero las plays depended
Speaker 2: on and per defas in parn that pail the la
Speaker 2: canti that the pro media necessary fiables to the sif
Speaker 2: acudance lo that to the extensa the press singco kilometros
Speaker 2: ye I can't tendre laria sendo laria lin sendo pe
Speaker 2: then trod saweya lo that the if no one a
Speaker 2: reflect hard recamente el impact in sandio part the accordance,
Speaker 2: I guess pro medio the varios varios a p pegs
Speaker 2: and we possibly no monitorio identific that the thief all
Speaker 2: that if INDI the pendendo I'm in sandus Pacific second
Speaker 2: maroon us that the altar resolution identific relations Pacific. The
Speaker 2: sif are you aunt key talo and that was the
Speaker 2: echo stress exit to real so re and lases the
Speaker 2: capac the ar sets capo so lodato, the eco stress
Speaker 2: okay perfecto and finale the the limited tempo qui sierra
Speaker 2: ya finaleipo the.
Speaker 3: Ar sets u.
Speaker 2: Posi Broughtvens, Jonathan O'Brien, Sarah Kucho, Sue Monty s Maria Maravito,
Speaker 2: Melanie for your cook, Natasha Johnson, Griffith Came and David Guisierra.
Speaker 2: Participants realmente thees e Quisierra finalment Lo experto ms alturnic
Speaker 2: paraslu uh uh Jackie, Ryan, Iya, Karen and Jackie and Jackie.
Speaker 4: We like to say any closing words, just thank you
Speaker 4: everyone for your attention so far, and thank you to
Speaker 4: Erica for translating my responses to the questions.
Speaker 5: That was really great.
Speaker 2: Uh.
Speaker 4: We will be posting the homework exercise this week.
Speaker 1: UH.
Speaker 4: Only the multiple choice questions are required for the certificate,
Speaker 4: but there are three optional coding exercises as well.
Speaker 2: See Jackie record Lina ombre i tress i incluido on
Speaker 2: alysshla boys annonastos la concord Certificate final and e com
Speaker 2: play tella ala then if almente receiv on on survey
Speaker 2: lem la complainant para then commentarios member and relational relation Okay,
Speaker 2: gracias at all temple as on excellent approxima
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