Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions | Paper Citation Record

Observation 0e795e24-7cf8-4335-b9fb-81f53832a360 · outbound

This paper cites Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation

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Observation be8c01f8-b3ae-49ee-94d2-ac830f4a35a1 · outbound

This paper cites Robust algorithm for estimating total suspended solids (tss) in inland and nearshore coastal waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Robust algorithm for estimating total suspended solids (tss) in inland and nearshore coastal waters

Reference 2

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Observation dd7bd74d-0b41-43cb-a5fb-c7e88da5e7bd · outbound

This paper cites The science of hypoxia in the northern gulf of mexico: a review.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions The science of hypoxia in the northern gulf of mexico: a review

Reference 3

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Observation 5beaba78-d5c4-4423-8871-91bc6da58909 · outbound

This paper cites Variational inference: A review for statisticians.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Variational inference: A review for statisticians

Reference 4

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Observation 06ada88c-0e09-44a1-b3f2-af7452ed2ada · outbound

This paper cites Natural variability of phytoplanktonic absorption in oceanic waters: In- fluence of the size structure of algal populations.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Natural variability of phytoplanktonic absorption in oceanic waters: In- fluence of the size structure of algal populations

Reference 5

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Observation b93eaaf9-aa9d-4637-b528-9349ee84aea9 · outbound

This paper cites Importance Weighted Autoencoders.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Importance Weighted Autoencoders

Reference 6

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Observation e802c45d-3757-4e4c-8c3f-b2c9a600ea06 · outbound

This paper cites Information content of absorption spectra and implications for ocean color inversion.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Information content of absorption spectra and implications for ocean color inversion

Reference 7

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Observation f21b04ab-d95e-4361-9cf5-c9b44b8c5351 · outbound

This paper cites Phytoplankton composition from space: Requirements, opportunities, and challenges.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Phytoplankton composition from space: Requirements, opportunities, and challenges

Reference 8

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Observation a309433b-14b3-465c-a793-0139ce0ead16 · outbound

This paper cites Evaluation of diagnostic pigments to estimate phytoplankton size classes.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Evaluation of diagnostic pigments to estimate phytoplankton size classes

Reference 9

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Observation 2956acb8-a408-4c3e-92b0-32f024920a6e · outbound

This paper cites Variational Lossy Autoencoder.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Variational Lossy Autoencoder

Reference 10

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Observation 27018720-d608-4d55-badb-76b4f336cb59 · outbound

This paper cites Assessment of the relationships between dominant cell size in natural phytoplankton com- munities and the spectral shape of the absorption coefficient.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Assessment of the relationships between dominant cell size in natural phytoplankton com- munities and the spectral shape of the absorption coefficient

Reference 11

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Observation 598f51b9-20cb-4b36-8364-f21ed2026f87 · outbound

This paper cites How ambiguous is the inverse problem of ocean color in coastal waters? Journal of Geophysical Research: Oceans, 112(C3), 2007.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions How ambiguous is the inverse problem of ocean color in coastal waters? Journal of Geophysical Research: Oceans, 112(C3), 2007

Reference 12

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Observation 86993116-b824-4491-affd-72a90a48d856 · outbound

This paper cites Living up to the hype of hyperspectral aquatic remote sensing: science, resources and outlook.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Living up to the hype of hyperspectral aquatic remote sensing: science, resources and outlook

Reference 13

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Observation 0496b229-b5fc-433e-987c-29f4689c2f2f · outbound

This paper cites Tutorial on Variational Autoencoders.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Tutorial on Variational Autoencoders

Reference 14

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Observation 52eab74c-8bd0-4790-93be-cffa80642b95 · outbound

This paper cites Galveston bay and coastal ocean optical-geochemical response to hurricane harvey from viirs ocean color.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Galveston bay and coastal ocean optical-geochemical response to hurricane harvey from viirs ocean color

Reference 15

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Observation 3e6c39fa-f2bc-4359-b918-5cbc0c96897f · outbound

This paper cites Biogeochemical response of apalachicola bay and the shelf waters to hurricane michael using ocean color semi-analytic/inversion and hydrodynamic models.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Biogeochemical response of apalachicola bay and the shelf waters to hurricane michael using ocean color semi-analytic/inversion and hydrodynamic models

Reference 16

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Observation 26cca13a-98ef-4228-9270-2091cbdc682c · outbound

This paper cites The peak near 700 nm on radiance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions The peak near 700 nm on radiance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration

Reference 17

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Observation 201d9277-4f1b-4eea-aa31-bd33b22d16d2 · outbound

This paper cites A chlorophyll-retrieval algorithm for satellite imagery (medium resolution imaging spectrometer) of inland and coastal waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions A chlorophyll-retrieval algorithm for satellite imagery (medium resolution imaging spectrometer) of inland and coastal waters

Reference 18

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Observation fc05d0bf-7a1c-451c-bb57-0996d88ce4ee · outbound

This paper cites The nasa earth surface mineral dust source investigation.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions The nasa earth surface mineral dust source investigation

Reference 19

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Observation 7188ba4b-fbe7-4cc9-97ad-80ddafb074d2 · outbound

This paper cites Remote estimation of chl-a concentration in turbid productive waters—return to a simple two-band nir-red model? Remote Sensing of Environment , 115(12):3479–3490, 2011.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Remote estimation of chl-a concentration in turbid productive waters—return to a simple two-band nir-red model? Remote Sensing of Environment , 115(12):3479–3490, 2011

Reference 20

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Observation dfdb67dc-064b-4104-9537-41f444fe6064 · outbound

This paper cites Future phytoplankton diversity in a changing climate.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Future phytoplankton diversity in a changing climate

Reference 21

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Observation 22c5479a-27d6-4821-8d27-0385423ab5a7 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 22

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This paper cites Habnet: Machine learning, remote sensing-based detection of harmful algal blooms.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Habnet: Machine learning, remote sensing-based detection of harmful algal blooms

Reference 23

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Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Unresolved cited work

Reference 24

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Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Unresolved cited work

Reference 25

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Observation ab13dcca-5eef-49af-b30a-3bc018de4209 · outbound

This paper cites Auto-encoding variational bayes, 2013.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Auto-encoding variational bayes, 2013

Reference 26

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This paper cites Improved variational inference with inverse autoregressive flow.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Improved variational inference with inverse autoregressive flow

Reference 27

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Observation c11451ad-bdb7-44d7-ad02-4842e6c36dfd · outbound

This paper cites Simulated inherent optical properties of aquatic particles using the equivalent algal populations (eap) model.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Simulated inherent optical properties of aquatic particles using the equivalent algal populations (eap) model

Reference 28

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Observation 93049980-ba1b-4542-b408-2edf83d6ebd0 · outbound

This paper cites Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters

Reference 29

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Observation 9c01e2ce-f89b-407f-9315-0c51fd7c3485 · outbound

This paper cites Gloria-a globally representative hyperspectral in situ dataset for optical sensing of water quality.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Gloria-a globally representative hyperspectral in situ dataset for optical sensing of water quality

Reference 30

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Observation 9a620bc3-00a5-46f0-8423-a4e8c95b00fc · outbound

This paper cites Estimation of chlorophyll a concentration using nir/red bands of meris and classification procedure in inland turbid water.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Estimation of chlorophyll a concentration using nir/red bands of meris and classification procedure in inland turbid water

Reference 31

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This paper cites Multi-decadal trends and influences on dissolved organic carbon distribution in the barataria basin, louisiana from in-situ and landsat/modis observations.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Multi-decadal trends and influences on dissolved organic carbon distribution in the barataria basin, louisiana from in-situ and landsat/modis observations

Reference 32

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Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Unresolved cited work

Reference 33

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Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Unresolved cited work

Reference 34

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Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Unresolved cited work

Reference 35

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Observation e414d89d-1e01-4fa0-a8fc-9bd49996d3c5 · outbound

This paper cites Phytoplankton optical fingerprint libraries for development of phyto- plankton ocean color satellite products.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Phytoplankton optical fingerprint libraries for development of phyto- plankton ocean color satellite products

Reference 36

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This paper cites Adversarial Autoencoders.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Adversarial Autoencoders

Reference 37

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This paper cites Light and water: radiative transfer in natural waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Light and water: radiative transfer in natural waters

Reference 38

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Observation bc8487e0-0209-4681-8155-d1d2a58a57f9 · outbound

This paper cites Ocean optics protocols for satellite ocean color sensor validation, revision 4.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Ocean optics protocols for satellite ocean color sensor validation, revision 4

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:03.081762Z

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Observation 5c948d67-d24e-4ac9-8ddc-56c0bcf01329 · outbound

This paper cites A hyperspectral inversion framework for estimating absorbing inherent optical properties and biogeochemical parameters in inland and coastal waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions A hyperspectral inversion framework for estimating absorbing inherent optical properties and biogeochemical parameters in inland and coastal waters

Reference 40

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Observation c2fcf7fe-475d-4908-bff6-caf37d8629ad · outbound

This paper cites Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:03.058272Z

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Observation b4043548-fa63-402d-8259-c07bdc830a17 · outbound

This paper cites Seamless retrievals of chlorophyll-a from sentinel-2 (msi) and sentinel-3 (olci) in inland and coastal waters: A machine- learning approach.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Seamless retrievals of chlorophyll-a from sentinel-2 (msi) and sentinel-3 (olci) in inland and coastal waters: A machine- learning approach

Reference 42

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Observation c2672f1f-e2d4-4191-bba1-cb5fe2a259d7 · outbound

This paper cites Hypoxia in the gulf of mexico.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Hypoxia in the gulf of mexico

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:03.034989Z

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Observation 2d1b1db8-1670-4814-86f0-831c8b41c7ba · outbound

This paper cites Stochas- tic backpropagation and approximate inference in deep generative mod- els.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Stochas- tic backpropagation and approximate inference in deep generative mod- els

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:03.018420Z

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Observation 3bfcbfa9-9c10-493b-866f-46e9063131cd · outbound

This paper cites Spectrophotometric measurements of particulate absorption using filter pads.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Spectrophotometric measurements of particulate absorption using filter pads

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:03.004547Z

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Observation 120e443e-3b4c-44c3-98db-aa28141d7c4f · outbound

This paper cites Spectral beam attenuation coefficient retrieved from ocean color inversion.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Spectral beam attenuation coefficient retrieved from ocean color inversion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.993312Z

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Observation caa7c0dd-5301-4051-b9c2-59abee9b229d · outbound

This paper cites Noise Regularization for Conditional Density Estimation.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Noise Regularization for Conditional Density Estimation

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:12:02.785672Z

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Observation 512859c9-59fe-4163-8639-cd9ab4d5ff72 · outbound

This paper cites Learn- ing representations by back-propagating errors.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Learn- ing representations by back-propagating errors

Reference 48

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Observation 67f417b9-5ca2-4c37-a5d8-64cd35698ada · outbound

This paper cites Understanding variation in trophic status of lakes on the boreal plain: A 20 year retrospective using landsat tm imagery.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Understanding variation in trophic status of lakes on the boreal plain: A 20 year retrospective using landsat tm imagery

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.974950Z

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Observation a0d81fdd-0c9a-46fa-817e-145a134186b9 · outbound

This paper cites Retrieval of atmospheric and oceanic properties from meris measurements: A new case-2 water pro- 16 cessor for beam.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Retrieval of atmospheric and oceanic properties from meris measurements: A new case-2 water pro- 16 cessor for beam

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.963132Z

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Observation 07832494-fd40-4829-b784-00408dfac256 · outbound

This paper cites A chlorophyll-a algorithm for landsat- 8 based on mixture density networks.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions A chlorophyll-a algorithm for landsat- 8 based on mixture density networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.950301Z

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Observation 0f787a2a-5d06-4ec9-8316-ed04e127cd12 · outbound

This paper cites Ladder variational autoencoders.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Ladder variational autoencoders

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.938907Z

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Observation a9a5193e-42db-438a-9fe3-364467265fd6 · outbound

This paper cites Topological generality and spectral dimensionality in the earth mineral dust source investigation (emit) using joint characterization and the spectral mixture residual.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Topological generality and spectral dimensionality in the earth mineral dust source investigation (emit) using joint characterization and the spectral mixture residual

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.926579Z

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Observation c164d85e-1cdc-4dc4-ba08-6d18576ebbcc · outbound

This paper cites Hyperspectral remote sensing of the pigment c-phycocyanin in turbid inland waters, based on optical classification.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Hyperspectral remote sensing of the pigment c-phycocyanin in turbid inland waters, based on optical classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.914845Z

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Observation 2dab19b8-9068-4a77-b7f9-d5ca1be196b0 · outbound

This paper cites Uniqueness in remote sensing of the inherent optical properties of ocean water.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Uniqueness in remote sensing of the inherent optical properties of ocean water

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.901865Z

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Observation 09096f48-3c94-43e9-aeb7-db87a2e64817 · outbound

This paper cites An evaluation of models for the satellite-estimation of phytoplankton absorption coeffi- cients in coastal/oceanic waters.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions An evaluation of models for the satellite-estimation of phytoplankton absorption coeffi- cients in coastal/oceanic waters

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.890882Z

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Observation be0e4be5-5474-4398-a7a5-b3862cd0c189 · outbound

This paper cites A ground-based remote sensing system for high-frequency and real-time monitoring of phytoplankton blooms.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions A ground-based remote sensing system for high-frequency and real-time monitoring of phytoplankton blooms

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.879408Z

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Observation ebaab8cc-66e0-404d-baa9-fc0c1ded5c65 · outbound

This paper cites Generalized ocean color inversion model for retrieving marine inherent optical properties.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Generalized ocean color inversion model for retrieving marine inherent optical properties

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.867165Z

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Observation 7f1deacd-32f0-451a-bead-286bf4fb7c07 · outbound

This paper cites Phytoplankton group identification using simulated and in situ hyper- spectral remote sensing reflectance.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Phytoplankton group identification using simulated and in situ hyper- spectral remote sensing reflectance

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.849224Z

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Observation 5436a8aa-125d-44d1-8a3a-5528d4849896 · outbound

This paper cites Hyperspectral differentiation of phytoplankton tax- onomic groups: a comparison between using remote sensing reflectance and absorption spectra.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Hyperspectral differentiation of phytoplankton tax- onomic groups: a comparison between using remote sensing reflectance and absorption spectra

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:02.837787Z

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Observation 486858a4-1369-4a45-9f33-4ebcb5f4ddc5 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions InfoVAE: Information Maximizing Variational Autoencoders

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:02.734170Z

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