SYSTEMATIC ANALYSIS OF THE LUT-BASED INVERSION OF PROSAIL USING FULL RANGE HYPERSPECTRAL DATA FOR THE RETRIEVAL OF LEAF AREA INDEX IN VIEW OF THE FUTURE ENMAP MISSION

被引：0

作者：

Locherer, M. ^{[1
]}

Hank, T. ^{[1
]}

Danner, M. ^{[1
]}

Mauser, W. ^{[1
]}

机构：

[1] Univ Munich, Dept Geog, Luisenstr 37, D-80333 Munich, Germany

来源：

2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年

关键词：

Hyperspectral; EnMAP; Vegetation; Agriculture; LAI Retrieval; LUT Inversion; Radiative Transfer Model; PROSAIL; NEURAL-NETWORK ESTIMATION; LAI; PRINCIPLES; FCOVER; FAPAR;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The upcoming satellite mission EnMAP offers the highly relevant opportunity of retrieving information on the seasonal development of vegetation parameters on a regional scale based on hyperspectral data. This study aims to investigate the potential of retrieving leaf area index (LAI) information from hyperspectral images. The widely used PROSAIL model is applied to generate look-up-table (LUT) libraries, by which the model is inverted to derive LAI information. Different techniques for the LUT based inversion are tested, such as several cost functions, type and amount of artificial noise, number of considered solutions and type of averaging method. The optimal inversion procedure (laplace, median, 4% inverse multiplicative noise, 350 averages) is identified by validating the results against corresponding in-situ measurements (N = 330) of LAI, leading to robust results (R-2 = 0.65, RMSE = 0.64).

引用

页码：4013 / 4016

页数：4

共 4 条

[1] Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model
Locherer, Matthias
Hank, Tobias
Danner, Martin
Mauser, Wolfram
REMOTE SENSING, 2015, 7 (08) : 10321 - 10346
[2] OPTIMIZING LUT-BASED RADIATIVE TRANSFER MODEL INVERSION FOR RETRIEVAL OF BIOPHYSICAL PARAMETERS USING HYPERSPECTRAL DATA
Verrelst, J.
Rivera, G. P.
Leonenko, G.
Alonso, L.
Moreno, J.
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 7325 - 7328
[3] Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India
Sinha, Sanjiv K.
Padalia, Hitendra
Dasgupta, Anindita
Verrelst, Jochem
Pablo Rivera, Juan
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 86
[4] Leaf Area Index Inversion of Spartina alterniflora Using UAV Hyperspectral Data Based on Multiple Optimized Machine Learning Algorithms
Fang, Hua
Man, Weidong
Liu, Mingyue
Zhang, Yongbin
Chen, Xingtong
Li, Xiang
He, Jiannan
Tian, Di
REMOTE SENSING, 2023, 15 (18)

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