Partitioning of MODIS Leaf Area Index into woody and herbaceous components in sub-Saharan Africa
Mission of the project
The estimates of woody and herbaceous components of leaf area index (LAI) are important in rangeland management, fire analysis, early warning and have the potential for improving index-based livestock insurance (IBLI) contract design and forage estimation.Kahiu and Hanan (2018) developed an approach to separate woody and herbaceous LAI components from MODIS aggregate LAI. Here we present updated products for sub-Saharan Africa by replacing MODIS Collection5 (MC5) LAI estimates at a 1km resolution detailed in Kahiu and Hanan (2018) with 8-day MC6 LAI at 500 m resolution, extending the analysis for years 2002 to 2020. Here we show case the partitioned LAI product for sub-Saharan Africa
Literature
Kahiu, M. N., & Hanan, N. P. (2018). Estimation of Woody and Herbaceous Leaf Area Index in Sub-Saharan Africa Using MODIS Data. Journal of Geophysical Research: Biogeosciences, 123(1), 3-17. doi:doi:10.1002/2017JG004105. Available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017JG004105
Acknowledgement
This work has been made possible through PEER Cycle 8 Funding on Application of partitioned woody and herbaceous forage estimates in index-based livestock insurance, a better alternative to NDVI as a proxy for forage index; and CGIAR CRP financing. The project brings together researchers from the International Livestock Research Institute (ILRI) and New Mexico State University (https://savannalab.nmsu.edu/). We have also collaborated with the University of Nebraska Lincoln on the data processing through Professor Colin Ramsay's Lab (https://business.unl.edu/people/cramsay)
Questions?
Contact Njoki Kahiu at mnkahiu@yahoo.com to get more information on the products