TY - GEN
T1 - Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest
AU - Houborg, Rasmus
AU - McCabe, Matthew
AU - Gao, Feng
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/11/12
Y1 - 2015/11/12
N2 - This paper presents a flexible tool for spatio-temporal enhancement of coarse resolution leaf area index (LAI) products, which is readily adaptable to different land cover types, landscape heterogeneities and cloud cover conditions. The framework integrates a rule-based regression tree approach for estimating Landsat-scale LAI from existing 1 km resolution LAI products, and the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) to intelligently interpolate the downscaled LAI between Landsat acquisitions. Comparisons against in-situ records of LAI measured over corn and soybean highlights its utility for resolving sub-field LAI dynamics occurring over a range of plant development stages.
AB - This paper presents a flexible tool for spatio-temporal enhancement of coarse resolution leaf area index (LAI) products, which is readily adaptable to different land cover types, landscape heterogeneities and cloud cover conditions. The framework integrates a rule-based regression tree approach for estimating Landsat-scale LAI from existing 1 km resolution LAI products, and the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) to intelligently interpolate the downscaled LAI between Landsat acquisitions. Comparisons against in-situ records of LAI measured over corn and soybean highlights its utility for resolving sub-field LAI dynamics occurring over a range of plant development stages.
UR - http://hdl.handle.net/10754/621250
UR - http://ieeexplore.ieee.org/document/7326528/
UR - http://www.scopus.com/inward/record.url?scp=84962537166&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7326528
DO - 10.1109/IGARSS.2015.7326528
M3 - Conference contribution
SN - 9781479979295
SP - 3317
EP - 3320
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -