Skip to main content

Research Repository

Advanced Search

Deriving leaf area index reference maps using temporally continuous data: a comparison of upscaling approaches

Brown, LA; Ogutu, BO; Camacho, F; Fuster, B; Dash, J

Deriving leaf area index reference maps using temporally continuous data: a comparison of upscaling approaches Thumbnail


Authors

BO Ogutu

F Camacho

B Fuster

J Dash



Abstract

To further progress the validation of global leaf area index (LAI) products, temporally continuous reference data are a key requirement, as periodic field campaigns fail to adequately characterize temporal dynamics. Progress in cost-effective automated measurement techniques has been made in recent years, but appropriate upscaling methodologies are less mature. Recently, the use of multitemporal transfer functions has been proposed as a potential solution. Using data collected during an independent field campaign, we evaluated the performance of both vegetation index-based multitemporal transfer functions and a radiative transfer model (RTM)-based upscaling approach. Whether assessed using cross validation or data from the independent field campaign, the RTM-based approach provided the best performance (r 2 ≥ 0.88, RMSE ≤ 0.41, NRMSE <; 13%). For upscaling temporally continuous in situ data, the ability of RTM-based approaches to account for seasonal changes in sun-sensor geometry is a key advantage over vegetation index-based multitemporal transfer functions.

Citation

Brown, L., Ogutu, B., Camacho, F., Fuster, B., & Dash, J. (2020). Deriving leaf area index reference maps using temporally continuous data: a comparison of upscaling approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 624-630. https://doi.org/10.1109/JSTARS.2020.3040080

Journal Article Type Article
Publication Date Nov 24, 2020
Deposit Date Oct 28, 2022
Publicly Available Date Oct 28, 2022
Journal IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Print ISSN 1939-1404
Electronic ISSN 2151-1535
Publisher Institute of Electrical and Electronics Engineers
Volume 14
Pages 624-630
DOI https://doi.org/10.1109/JSTARS.2020.3040080
Publisher URL https://doi.org/10.1109/JSTARS.2020.3040080

Files






You might also like



Downloadable Citations