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water (version 0.5)

LAI: Estimate LAI from Landsat Data

Description

This function implements empirical models to estimate LAI (Leaf Area Index) for satellital images. Models were extracted from METRIC publications and other works developed on different crops.

Usage

LAI(method = "metric2010", image, aoi, L = 0.1)

Arguments

method
Method used to estimate LAI from spectral data.
image
image. top-of-atmosphere reflectance for method=="metric" | method=="metric2010" | method=="vineyard" | method=="MCB"; surface reflectance for method = "turner". Not needed if ESPA == TRUE
aoi
area of interest to crop images, if waterOptions("autoAoi") == TRUE will look for any object called aoi on .GlobalEnv
L
L factor used in method = "metric" or "metric2010" to estimate SAVI, defaults to 0.1

Details

LAI is computed using the top-of atmosphere (at-satellite) reflectance value. LAI and other indices such NDVI, SAVI are used to predict characteristics of vegetation, depending on preferences of the user. Available methods are: "metric", "metric2010", "MCB", "vineyard" and "turner".

References

R. G. Allen, M. Tasumi, and R. Trezza, "Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) - Model" Journal of Irrigation and Drainage Engineering, vol. 133, p. 380, 2007 Carrasco-Benavides, M., Ortega-Farias, S., Lagos, L., Kleissl, J., Morales-Salinas, L., & Kilic, A. (2014). Parameterization of the Satellite-Based Model (METRIC) for the Estimation of Instantaneous Surface Energy Balance Components over a Drip-Irrigated Vineyard. Remote Sensing, 6(11), 11342-11371. http://doi.org/10.3390/rs61111342 Johnson, L. F. (2003). Temporal Stability of the NDVI-LAI Relationship in a Napa Valley Vineyard, 96-101. http://doi.org/10.1111/j.1755-0238.2003.tb00258.x Turner, D. P., Cohen, W. B., Kennedy, R. E., Fassnacht, K. S., & Briggs, J. M. (1999). Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sensing of Environment, 70(1), 52–68. http://doi.org/10.1016/S0034-4257(99)00057-7