Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada
Monitoring spatiotemporal changes in climate and vegetation coverage are crucial for various purposes, including water, hazard, and agricultural management. Climate has an impact on vegetation, however, studying their relationship is challenging. We implemented the Least-Squares Wavelet (LSWAVE) sof...
Published in: | International Journal of Applied Earth Observation and Geoinformation |
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ftdoajarticles:oai:doaj.org/article:610250d5c16d4f3a909bd3ac4483e6be 2023-05-15T15:26:02+02:00 Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada Hatef Dastour Ebrahim Ghaderpour Mohamed Sherif Zaghloul Babak Farjad Anil Gupta Hyung Eum Gopal Achari Quazi K. Hassan 2022-11-01T00:00:00Z https://doi.org/10.1016/j.jag.2022.103044 https://doaj.org/article/610250d5c16d4f3a909bd3ac4483e6be EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S1569843222002321 https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2022.103044 https://doaj.org/article/610250d5c16d4f3a909bd3ac4483e6be International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103044- (2022) MODIS Trend analysis Spectral analysis Coherency analysis Phase discrepancy NDVI Physical geography GB3-5030 Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.1016/j.jag.2022.103044 2022-12-30T21:37:14Z Monitoring spatiotemporal changes in climate and vegetation coverage are crucial for various purposes, including water, hazard, and agricultural management. Climate has an impact on vegetation, however, studying their relationship is challenging. We implemented the Least-Squares Wavelet (LSWAVE) software for investigating trend, coherency, and time lag estimation between climate and vegetation time series. We utilized Normalized Difference Vegetation Index (NDVI) time series provided by the Terra satellite and hybrid climate time series. We found that the seasonal cycles of climate and NDVI are coherent with time delay. For the entire Athabasca River Basin (ARB), the most coherent component was the annual cycle with 84% annual coherency between vegetation and temperature and 46% between vegetation and precipitation. The annual cycles of temperature and precipitation led the ones in vegetation by about two and three weeks, respectively. Relatively lower coherency was observed in the mountainous region (upper ARB) and higher coherency in the middle ARB. From the cross-spectrograms, a clear time delay pattern was observed between the annual cycles of climate and vegetation since 2000 but not for other high-frequency seasonal cycles. The results also highlighted the advantages of LSWAVE algorithms over traditional algorithms, such as linear regression and correlation. Furthermore, we analyzed the annual land use and land cover data provided by the Terra and Aqua satellites and discussed their linkage with the climate and NDVI results. Article in Journal/Newspaper Athabasca River Directory of Open Access Journals: DOAJ Articles Athabasca River Canada International Journal of Applied Earth Observation and Geoinformation 114 103044 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
MODIS Trend analysis Spectral analysis Coherency analysis Phase discrepancy NDVI Physical geography GB3-5030 Environmental sciences GE1-350 |
spellingShingle |
MODIS Trend analysis Spectral analysis Coherency analysis Phase discrepancy NDVI Physical geography GB3-5030 Environmental sciences GE1-350 Hatef Dastour Ebrahim Ghaderpour Mohamed Sherif Zaghloul Babak Farjad Anil Gupta Hyung Eum Gopal Achari Quazi K. Hassan Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
topic_facet |
MODIS Trend analysis Spectral analysis Coherency analysis Phase discrepancy NDVI Physical geography GB3-5030 Environmental sciences GE1-350 |
description |
Monitoring spatiotemporal changes in climate and vegetation coverage are crucial for various purposes, including water, hazard, and agricultural management. Climate has an impact on vegetation, however, studying their relationship is challenging. We implemented the Least-Squares Wavelet (LSWAVE) software for investigating trend, coherency, and time lag estimation between climate and vegetation time series. We utilized Normalized Difference Vegetation Index (NDVI) time series provided by the Terra satellite and hybrid climate time series. We found that the seasonal cycles of climate and NDVI are coherent with time delay. For the entire Athabasca River Basin (ARB), the most coherent component was the annual cycle with 84% annual coherency between vegetation and temperature and 46% between vegetation and precipitation. The annual cycles of temperature and precipitation led the ones in vegetation by about two and three weeks, respectively. Relatively lower coherency was observed in the mountainous region (upper ARB) and higher coherency in the middle ARB. From the cross-spectrograms, a clear time delay pattern was observed between the annual cycles of climate and vegetation since 2000 but not for other high-frequency seasonal cycles. The results also highlighted the advantages of LSWAVE algorithms over traditional algorithms, such as linear regression and correlation. Furthermore, we analyzed the annual land use and land cover data provided by the Terra and Aqua satellites and discussed their linkage with the climate and NDVI results. |
format |
Article in Journal/Newspaper |
author |
Hatef Dastour Ebrahim Ghaderpour Mohamed Sherif Zaghloul Babak Farjad Anil Gupta Hyung Eum Gopal Achari Quazi K. Hassan |
author_facet |
Hatef Dastour Ebrahim Ghaderpour Mohamed Sherif Zaghloul Babak Farjad Anil Gupta Hyung Eum Gopal Achari Quazi K. Hassan |
author_sort |
Hatef Dastour |
title |
Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
title_short |
Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
title_full |
Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
title_fullStr |
Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
title_full_unstemmed |
Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada |
title_sort |
wavelet-based spatiotemporal analyses of climate and vegetation for the athabasca river basin in canada |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://doi.org/10.1016/j.jag.2022.103044 https://doaj.org/article/610250d5c16d4f3a909bd3ac4483e6be |
geographic |
Athabasca River Canada |
geographic_facet |
Athabasca River Canada |
genre |
Athabasca River |
genre_facet |
Athabasca River |
op_source |
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103044- (2022) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S1569843222002321 https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2022.103044 https://doaj.org/article/610250d5c16d4f3a909bd3ac4483e6be |
op_doi |
https://doi.org/10.1016/j.jag.2022.103044 |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
114 |
container_start_page |
103044 |
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1766356599805313024 |