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Article: Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State

TitleDetection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State
Authors
KeywordsLandsat
Spring phenology
Urban areas
Urbanization
Issue Date2022
Citation
International Journal of Applied Earth Observation and Geoinformation, 2022, v. 110, article no. 102815 How to Cite?
AbstractSpring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring and understanding of changes in spring phenology for long periods and in large regions are challenging due to the limited in-site observations. Space-based remotely sensed observations offer great potentials for monitoring decadal spring phenology changes from regional to global scales. However, the coarse-scale remotely sensed observations are insufficient to capture fine-scale spring phenology dynamics, especially in urban areas, and this makes it challenging for understanding the combined effects of climate change and urbanization on spring phenology. We derived the start of phenology season (SOS) in New York State using 30 m Landsat observations from 1990 to 2015 to understand the impact of the environment and urbanization on SOS. The results show that SOS for different years reveals heterogeneous spatial distribution. Most regions of New York State have been experiencing significant spring phenology changes in form of earlier onset of vegetation greening, ranging from 0.2 to 0.6 day/year during 1990 to 2015, and this trend varies slightly with latitudes and urbanization levels. Further, spatial correlation analysis shows that the increase in temperature and urbanization could both promote the advancement of SOS. However, the effect of urbanization (partial correlation coefficient (R) ranges from −0.289 to −0.542) on SOS is greater than the effect of temperature (R ranges from 0.006 to −0.192). The study generates a high spatio-temporal resolution spring phenology dataset for ecological, environmental and public health studies, especially in urban areas, and reveals the importance of better accounting for the urbanization effects when quantifying the SOS dynamics in phenology models.
Persistent Identifierhttp://hdl.handle.net/10722/329880
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.108
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Linze-
dc.contributor.authorLi, Xuecao-
dc.contributor.authorAsrar, Ghassem-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorChen, Min-
dc.contributor.authorZeng, Yelu-
dc.contributor.authorLi, Xiaojun-
dc.contributor.authorLi, Fa-
dc.contributor.authorLuo, Meng-
dc.contributor.authorSapkota, Amir-
dc.contributor.authorHao, Dalei-
dc.date.accessioned2023-08-09T03:36:01Z-
dc.date.available2023-08-09T03:36:01Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Applied Earth Observation and Geoinformation, 2022, v. 110, article no. 102815-
dc.identifier.issn1569-8432-
dc.identifier.urihttp://hdl.handle.net/10722/329880-
dc.description.abstractSpring phenology plays an essential role in climate change, terrestrial ecosystem, and public health. Field-based monitoring and understanding of changes in spring phenology for long periods and in large regions are challenging due to the limited in-site observations. Space-based remotely sensed observations offer great potentials for monitoring decadal spring phenology changes from regional to global scales. However, the coarse-scale remotely sensed observations are insufficient to capture fine-scale spring phenology dynamics, especially in urban areas, and this makes it challenging for understanding the combined effects of climate change and urbanization on spring phenology. We derived the start of phenology season (SOS) in New York State using 30 m Landsat observations from 1990 to 2015 to understand the impact of the environment and urbanization on SOS. The results show that SOS for different years reveals heterogeneous spatial distribution. Most regions of New York State have been experiencing significant spring phenology changes in form of earlier onset of vegetation greening, ranging from 0.2 to 0.6 day/year during 1990 to 2015, and this trend varies slightly with latitudes and urbanization levels. Further, spatial correlation analysis shows that the increase in temperature and urbanization could both promote the advancement of SOS. However, the effect of urbanization (partial correlation coefficient (R) ranges from −0.289 to −0.542) on SOS is greater than the effect of temperature (R ranges from 0.006 to −0.192). The study generates a high spatio-temporal resolution spring phenology dataset for ecological, environmental and public health studies, especially in urban areas, and reveals the importance of better accounting for the urbanization effects when quantifying the SOS dynamics in phenology models.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Applied Earth Observation and Geoinformation-
dc.subjectLandsat-
dc.subjectSpring phenology-
dc.subjectUrban areas-
dc.subjectUrbanization-
dc.titleDetection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jag.2022.102815-
dc.identifier.scopuseid_2-s2.0-85137845556-
dc.identifier.volume110-
dc.identifier.spagearticle no. 102815-
dc.identifier.epagearticle no. 102815-
dc.identifier.eissn1872-826X-
dc.identifier.isiWOS:000806517900002-

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