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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Remote Sensing on 03/07/2018 available online: http://www.tandfonline.com/10.1080/01431161.2018.1479797

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Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change

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Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change. / Adole, Tracy; Dash, Jadunandan; Atkinson, Peter Michael.
In: International Journal of Remote Sensing, Vol. 39, No. 22, 2018, p. 8060-8075.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Adole T, Dash J, Atkinson PM. Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change. International Journal of Remote Sensing. 2018;39(22):8060-8075. Epub 2018 Jul 3. doi: 10.1080/01431161.2018.1479797

Author

Adole, Tracy ; Dash, Jadunandan ; Atkinson, Peter Michael. / Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change. In: International Journal of Remote Sensing. 2018 ; Vol. 39, No. 22. pp. 8060-8075.

Bibtex

@article{0fdbf884583a4b0d9d2a3f1fccb9b4e0,
title = "Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change",
abstract = "Monitoring land surface phenology (LSP) trends is important in understanding how both climatic and non-climatic factors influence vegetation growth and dynamics. Controlling for land-cover changes in these analyses has been undertaken only rarely, especially in poorly studied regions like Africa. Using regression models and controlling for land-cover changes, this study estimated LSP trends for Africa from the enhanced vegetation index (EVI) derived from 500 m surface reflectance Moderate-Resolution Imaging Spectroradiometer (MOD09A1), for the period from 2001 to 2015. Overall end of season showed slightly more pixels with significant trends (12.9% of pixels) than start of season (11.56% of pixels) and length of season (LOS) (5.72% of pixels), leading generally to more {\textquoteleft}longer season{\textquoteright} LOS trends. Importantly, LSP trends that were not affected by land-cover changes were distinguished from those that were influenced by land-cover changes such as to map LSP changes that have occurred within stable land-cover classes and which might, therefore, be reasonably associated with climate changes through time. As expected, greater slope magnitudes were observed more frequently for pixels with land-cover changes compared to those without, indicating the importance of controlling for land cover. Consequently, we suggest that future analyses of LSP trends should control for land-cover changes such as to isolate LSP trends that are solely climate-driven and/or those influenced by other anthropogenic activities or a combination of both.",
author = "Tracy Adole and Jadunandan Dash and Atkinson, {Peter Michael}",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Remote Sensing on 03/07/2018 available online: http://www.tandfonline.com/10.1080/01431161.2018.1479797",
year = "2018",
doi = "10.1080/01431161.2018.1479797",
language = "English",
volume = "39",
pages = "8060--8075",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "TAYLOR & FRANCIS LTD",
number = "22",

}

RIS

TY - JOUR

T1 - Major trends in the land surface phenology (LSP) of Africa, controlling for land cover change

AU - Adole, Tracy

AU - Dash, Jadunandan

AU - Atkinson, Peter Michael

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Remote Sensing on 03/07/2018 available online: http://www.tandfonline.com/10.1080/01431161.2018.1479797

PY - 2018

Y1 - 2018

N2 - Monitoring land surface phenology (LSP) trends is important in understanding how both climatic and non-climatic factors influence vegetation growth and dynamics. Controlling for land-cover changes in these analyses has been undertaken only rarely, especially in poorly studied regions like Africa. Using regression models and controlling for land-cover changes, this study estimated LSP trends for Africa from the enhanced vegetation index (EVI) derived from 500 m surface reflectance Moderate-Resolution Imaging Spectroradiometer (MOD09A1), for the period from 2001 to 2015. Overall end of season showed slightly more pixels with significant trends (12.9% of pixels) than start of season (11.56% of pixels) and length of season (LOS) (5.72% of pixels), leading generally to more ‘longer season’ LOS trends. Importantly, LSP trends that were not affected by land-cover changes were distinguished from those that were influenced by land-cover changes such as to map LSP changes that have occurred within stable land-cover classes and which might, therefore, be reasonably associated with climate changes through time. As expected, greater slope magnitudes were observed more frequently for pixels with land-cover changes compared to those without, indicating the importance of controlling for land cover. Consequently, we suggest that future analyses of LSP trends should control for land-cover changes such as to isolate LSP trends that are solely climate-driven and/or those influenced by other anthropogenic activities or a combination of both.

AB - Monitoring land surface phenology (LSP) trends is important in understanding how both climatic and non-climatic factors influence vegetation growth and dynamics. Controlling for land-cover changes in these analyses has been undertaken only rarely, especially in poorly studied regions like Africa. Using regression models and controlling for land-cover changes, this study estimated LSP trends for Africa from the enhanced vegetation index (EVI) derived from 500 m surface reflectance Moderate-Resolution Imaging Spectroradiometer (MOD09A1), for the period from 2001 to 2015. Overall end of season showed slightly more pixels with significant trends (12.9% of pixels) than start of season (11.56% of pixels) and length of season (LOS) (5.72% of pixels), leading generally to more ‘longer season’ LOS trends. Importantly, LSP trends that were not affected by land-cover changes were distinguished from those that were influenced by land-cover changes such as to map LSP changes that have occurred within stable land-cover classes and which might, therefore, be reasonably associated with climate changes through time. As expected, greater slope magnitudes were observed more frequently for pixels with land-cover changes compared to those without, indicating the importance of controlling for land cover. Consequently, we suggest that future analyses of LSP trends should control for land-cover changes such as to isolate LSP trends that are solely climate-driven and/or those influenced by other anthropogenic activities or a combination of both.

U2 - 10.1080/01431161.2018.1479797

DO - 10.1080/01431161.2018.1479797

M3 - Journal article

VL - 39

SP - 8060

EP - 8075

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 22

ER -