Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

The spatial quantification of green leaf area index (LAI green), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring. The Sentinel-2 mission is with (1) a temporal resolution lower than a week,(2) a spatial resolution of up to 10 m, and (3) narrow bands in the red and red-edge region, a highly promising mission for agricultural monitoring. The aim of this work is to define an easy implementable LAI green index for the Sentinel-2 mission. Two large and independent multi-crop datasets of in situ collected LAI green measurements were used. Commonly used LAI green indices applied on the Sentinel-2 10 m× 10 m pixel resulted in a validation R 2 lower than 0.6. By calculating all Sentinel-2 band combinations to identify high correlation and physical basis with LAI green, the new Sentinel-2 LAI green Index (SeLI) was defined. SeLI is a normalized index that uses the 705 nm and 865 nm centered bands, exploiting the red-edge region for low-saturating absorption sensitivity to photosynthetic vegetation. AR 2 of 0.708 (root mean squared error (RMSE)= 0.67) and a R 2 of 0.732 (RMSE= 0.69) were obtained with a linear fitting for the calibration and validation datasets, respectively, outperforming established indices. Sentinel-2 LAI green maps are presented.
Autors:
Pasqualotto, N.; Delegido, J.; Van Wittenberghe, S.; Rinaldi, M.; Moreno, J.
Url link:
https://www.mdpi.com/1424-8220/19/4/904
Journal:
Sensors
Year:
2019
» Back

Powered by ChronoForms - ChronoEngine.com

Powered by ChronoConnectivity - ChronoEngine.com