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Published in 2021 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2021.04.003
Abstract: Abstract Common aquatic remote sensing algorithms estimate the trophic state (TS) of inland and nearshore waters through the inversion of remote sensing reflectance (Rrs ( λ )) into chlorophyll-a (chla) concentration. In this study we…
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Keywords:
remote sensing;
inland nearshore;
chla;
nearshore waters ... See more keywords
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Published in 2019 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2019.04.027
Abstract: Abstract Numerous algorithms have been developed to retrieve chlorophyll-a (Chla) concentrations (mg m−3) from Earth observation (EO) data collected over optically complex waters. Retrieval accuracy is highly variable and often unsatisfactory where Chla co-occurs with other…
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Keywords:
retrieval;
inland;
optically complex;
chla ... See more keywords
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Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2019.111604
Abstract: Abstract Consistent, cross-mission retrievals of near-surface concentration of chlorophyll-a (Chla) in various aquatic ecosystems with broad ranges of trophic levels have long been a complex undertaking. Here, we introduce a machine-learning model, the Mixture Density…
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Keywords:
coastal waters;
machine learning;
chla;
seamless retrievals ... See more keywords
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Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111648
Abstract: Abstract Accurate remote assessment of phytoplankton chlorophyll-a (Chla) concentration in turbid case-2 waters is a challenge, owing largely to terrestrial substances (such as minerals and humus) that are optically significant but do not co-vary with…
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Keywords:
absorption;
case waters;
turbid case;
chla ... See more keywords
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Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111974
Abstract: Abstract Landsat-8 Operational Land Imager (OLI) provides an opportunity to map chlorophyll-a (Chla) in lake waters at spatial scales not feasible with ocean color missions. Although state-of-the-art algorithms to estimate Chla in lakes from satellite-borne…
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Keywords:
machine learning;
learning approach;
chla;
estimate ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3233385
Abstract: We present a novel method using satellite and biogeochemical Argo (BGC-Argo) data to retrieve the 3-D structure of chlorophyll $a$ (Chla) in the northern Indian Ocean (NIO). The random forest (RF)-based method infers the vertical…
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Keywords:
argo data;
chla;
structure;
using satellite ... See more keywords
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Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-5490
Abstract: We have previously identified high activation of both mTORC1 and mTORC2 in the aggressive infantile brain tumor, atypical teratoid/rhabdoid tumor (AT/RT). Paxalisib is a highly brain penetrant PI3k inhibitor which acts upstream of mTOR to…
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Keywords:
cell death;
cell;
chla;
combination ... See more keywords
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Published in 2020 at "Journal of Korean Medical Science"
DOI: 10.3346/jkms.2020.35.e99
Abstract: Background Thickened coracohumeral ligament (CHL) is one of the important morphological changes of frozen shoulder (FS). Previous research reported that coracohumeral ligament thickness (CHLT) is correlated with anterior glenohumeral instability, rotator interval and eventually FS.…
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Keywords:
coracohumeral ligament;
chla;
group;
area ... See more keywords