Major trends in the land surface phenology (LSP) of Africa, controlling for land-cover change
Major trends in the land surface phenology (LSP) of Africa, controlling for land-cover change
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.
Adole, Tracy
04bef52d-cf35-4494-b229-dbe41c6f8e4d
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b
Adole, Tracy
04bef52d-cf35-4494-b229-dbe41c6f8e4d
Dash, Jadunandan
51468afb-3d56-4d3a-aace-736b63e9fac8
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b
Adole, Tracy, Dash, Jadunandan and Atkinson, Peter
(2018)
Major trends in the land surface phenology (LSP) of Africa, controlling for land-cover change.
International Journal of Remote Sensing.
(doi:10.1080/01431161.2018.1479797).
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 ‘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.
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Major trends in the land surface phenology (LSP) of Africa, controlling for land-cover change
- Accepted Manuscript
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Accepted/In Press date: 5 May 2018
e-pub ahead of print date: 3 July 2018
Identifiers
Local EPrints ID: 422475
URI: http://eprints.soton.ac.uk/id/eprint/422475
ISSN: 0143-1161
PURE UUID: be53ed8b-6678-40d8-a2a4-729445fabab9
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Date deposited: 24 Jul 2018 16:30
Last modified: 16 Mar 2024 06:49
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Author:
Tracy Adole
Author:
Peter Atkinson
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