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10747392

Full identifier: https://w3id.org/np/RA_khUN4JHpmaoqktO7ZZv3GpYU5BYpJBhYcNY0qFBHgc/10747392

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 A Surface Freeze-Thaw Cycle Detecting Framework Based on Passive Microwave Data for the Alpine Zone: A Case Study of Three River Source Region in the Qinghai-Tibetan Plateau SIO_001066 comment approve/disapprove edit as derived nanopublication create new with same template

This is a local identifier minted within the nanopublication. https://w3id.org/np/RA_khUN4JH.../10747392
10747392
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This is the identifier for this whole nanopublication. https://w3id.org/np/RA_khUN4JH... This nanopublication date and time when the nanopublication was created http://purl.org/dc/terms/created was created on (this is a literal)
"2025-11-21T18:44:36.606Z"
(xsd:dateTime) .
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RA_-u1WDZM
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RA7lSq6MuK
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This is the identifier for this whole nanopublication. https://w3id.org/np/RA_khUN4JH... This nanopublication links to the publication info template that was used to create this nanopublication https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate was created from the publication info template https://w3id.org/np/RA0J4vUn_d...
RA0J4vUn_d
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This is the identifier for this whole nanopublication. https://w3id.org/np/RA_khUN4JH... This nanopublication links to the publication info template that was used to create this nanopublication https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate was created from the publication info template https://w3id.org/np/RARW4MsFkH...
RARW4MsFkH
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This is the identifier for this whole nanopublication. https://w3id.org/np/RA_khUN4JH... This nanopublication links to the publication info template that was used to create this nanopublication https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate was created from the publication info template https://w3id.org/np/RAukAcWHRD...
RAukAcWHRD
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This is the identifier for this whole nanopublication. https://w3id.org/np/RA_khUN4JH... This nanopublication the nanopublication consists of an introduction of the given resource http://purl.org/nanopub/x/introduces introduces This is a local identifier minted within the nanopublication. https://w3id.org/np/RA_khUN4JH.../10747392
10747392
.
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This is a local identifier minted within the nanopublication. https://w3id.org/np/RA_khUN4JH.../sig
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"RSA"
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Emily Regalado, 21 Nov 2025, 18:44:36 UTC

References

Nanopublication Part Subject Predicate Object Published By Published On
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
10747392
Emily Regalado
2025-11-21T18:44:36.606Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
10747392
A Surface Freeze-Thaw Cycle Detecting Framework Based on Passive Microwave Data for the Alpine Zone: A Case Study of Three River Source Region in the Qinghai-Tibetan Plateau
Emily Regalado
2025-11-21T18:44:36.606Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
10747392
The freeze-thaw cycle of near-surface soils significantly affects energy and water exchanges between the atmosphere and land surface. Passive microwave remote sensing is commonly used to observe the freeze-thaw state. However, existing algorithms face challenges in accurately monitoring near-surface soil freeze/thaw in alpine zones. This article proposes a framework for enhancing freeze/thaw detection capability in alpine zones, focusing on band combination selection and parameterization. The proposed framework was tested in the three river source region (TRSR) of the Qinghai-Tibetan Plateau. Results indicate that the framework effectively monitors the freeze/thaw state, identifying horizontal polarization brightness temperature at 18.7 GHz (TB18.7H) and 23.8 GHz (TB23.8H) as the optimal band combinations for freeze/thaw discrimination in the TRSR. The framework enhances the accuracy of the freeze/thaw discrimination for both 0 and 5-cm soil depths. In particular, the monitoring accuracy for 0-cm soil shows a more significant improvement, with an overall discrimination accuracy of 90.02%, and discrimination accuracies of 93.52% for frozen soil and 84.68% for thawed soil, respectively. Furthermore, the framework outperformed traditional methods in monitoring the freeze-thaw cycle, reducing root mean square errors for the number of freezing days, initial freezing date, and thawing date by 16.75, 6.35, and 12.56 days, respectively. The estimated frozen days correlate well with both the permafrost distribution map and the annual mean ground temperature distribution map. This study offers a practical solution for monitoring the freeze/thaw cycle in alpine zones, providing crucial technical support for studies on regional climate change and land surface processes.
Emily Regalado
2025-11-21T18:44:36.606Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
10747392
Emily Regalado
2025-11-21T18:44:36.606Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
10747392
Emily Regalado
2025-11-21T18:44:36.606Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
10747392
Emily Regalado
2025-11-21T18:44:36.606Z

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