Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors.

Sensors
G Zheng, L Monika Moskal

Abstract

The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape. However, LAI is difficult to directly acquire for large spatial extents due to its time consuming and work intensive nature. Such efforts have been significantly improved by the emergence of optical and active remote sensing techniques. This paper reviews the definitions and theories of LAI measurement with respect to direct and indirect methods. Then, the methodologies for LAI retrieval with regard to the characteristics of a range of remotely sensed datasets are discussed. Remote sensing indirect methods are subdivided into two categories of passive and active remote sensing, which are further categorized as terrestrial, aerial and satellite-born platforms. Due to a wide variety in spatial resolution of remotely sensed data and the requirements of ecological modeling, the scaling issue of LAI is discussed and special consideration is given to extrapolation of measurement to landscape and regional levels.

References

Oct 13, 2006·Journal of Experimental Botany·Kenji OmasaAtsumi Konishi
Nov 25, 2006·Journal of Environmental Management·Z JinM Chen
Dec 1, 2006·Journal of Environmental Management·G ZhengX Q Xia

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Citations

Aug 15, 2013·International Journal of Biometeorology·Marcelo Sacardi BiudesJosé de Souza Nogueira
Jun 17, 2015·Environmental Monitoring and Assessment·Gabriella BalaccoVito Iacobellis
Jan 5, 2017·Ecological Applications : a Publication of the Ecological Society of America·Pantana Tor-NgernTorgny Näsholm
Dec 14, 2011·Sensors·Ricardo Sanz-CortiellaJoan R Rosell-Polo
Sep 3, 2017·International Journal of Biometeorology·Yaohui ShiZhenzhu Xu
Sep 10, 2019·Plant Methods·Stefan Paulus
Jan 18, 2019·Plant Methods·Mark Müller-LinowFabio Fiorani
Feb 24, 2019·Sensors·Nieves PasqualottoJosé Moreno
Mar 3, 2019·Sensors·Theodora LendziochMichal Jenicek
Feb 2, 2021·Environmental Science and Pollution Research International·Wei ChenBin Yang
Jul 19, 2019·The Science of the Total Environment·Ionuț-Silviu PascuMihai Andrei Tănase

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Methods Mentioned

BETA
environmental stress
PCA

Software Mentioned

SCALE
GeoSAIL
EVNISAT
Leica ScanStation
FLIGHT
PROSPECT

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