ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 4, pp. 166-178

Development of capabilities for remote sensing estimate of Leaf Area Index from MODIS data

N.V. Shabanov 1 , S.А. Bartalev 1 , F.V. Eroshenko 2 , D.E. Plotnikov 1 
1 Space Research Institute RAS, Moscow, Russia
2 North-Caucasian Federal Scientific Agricultural Center, Mikhajlovsk, Stavropolsky Krai, Russia
Accepted: 30.07.2018
DOI: 10.21046/2070-7401-2018-15-4-166-178
Retrieval of land biophysical parameters from remote sensing observations is of interest for a wide range of scientific and application projects. Along with the empirical and statistical methods, methods based on physical models are widely utilized in the retrievals. This paper presents an approach for estimation of Leaf Area index (LAI) from MODerate resolution Imaging Spectroradiometer (MODIS) data. Daily LAI retrievals are performed using MODIS measurements of the Bi-directional reflectance Factor (BRF) in Red and NIR bands at 250 m spatial resolution and radiative transfer modeling in a vegetation canopy. The obtained LAI estimates are further processed to derive cloud-free composites followed by the time series reconstruction. This paper presents the physical principles of LAI product retrievals and the results of the product analysis, including evaluation with the ground measurements. The time series of weekly LAI product over Russia since March 2000 are available in the Vega-Science, a system of vegetation cover monitoring.
Keywords: Leaf Area Index, remote sensing, radiative transfer modeling, MODIS
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