Validation of MODIS and GEOV1 fPAR Products in a Boreal Forest Site in Finland

被引:24
作者
Majasalmi, Titta [1 ]
Rautiainen, Miina [1 ]
Stenberg, Pauline [1 ]
Manninen, Terhikki [2 ]
机构
[1] Univ Helsinki, Dept Forest Sci, FI-00014 Helsinki, Finland
[2] Finnish Meteorol Inst, FI-00101 Helsinki, Finland
基金
芬兰科学院;
关键词
PHOTOSYNTHETICALLY ACTIVE RADIATION; ESSENTIAL CLIMATE VARIABLES; LEAF-AREA INDEX; FAPAR PRODUCTS; ABSORBED PAR; LAI; FRACTION; REFLECTANCE; RETRIEVAL; CANOPIES;
D O I
10.3390/rs70201359
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Remote sensing of the fraction of absorbed Photosynthetically Active Radiation (fPAR) has become a timely option to monitor forest productivity. However, only a few studies have had ground reference fPAR datasets containing both forest canopy and understory fPAR from boreal forests for the validation of satellite products. The aim of this paper was to assess the performance of two currently available satellite-based fPAR products: MODIS fPAR (MOD15A2, C5) and GEOV1 fPAR (g2_BIOPAR_FAPAR), as well as an NDVI-fPAR relationship applied to the MODIS surface reflectance product and a Landsat 8 image, in a boreal forest site in Finland. Our study area covered 16 km(2) and field data were collected from 307 forest plots. For all plots, we obtained both forest canopy fPAR and understory fPAR. The ground reference total fPAR agreed better with GEOV1 fPAR than with MODIS fPAR, which showed much more temporal variation during the peak-season than GEOV1 fPAR. At the chosen intercomparison date in peak growing season, MODIS NDVI based fPAR estimates were similar to GEOV1 fPAR, and produced on average 0.01 fPAR units smaller fPAR estimates than ground reference total fPAR. MODIS fPAR and Landsat 8 NDVI based fPAR estimates were similar to forest canopy fPAR.
引用
收藏
页码:1359 / 1379
页数:21
相关论文
共 39 条
[1]  
[Anonymous], 1974, MONITORING VEGETATIO
[2]   GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production [J].
Baret, F. ;
Weiss, M. ;
Lacaze, R. ;
Camacho, F. ;
Makhmara, H. ;
Pacholcyzk, P. ;
Smets, B. .
REMOTE SENSING OF ENVIRONMENT, 2013, 137 :299-309
[3]   GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products [J].
Camacho, Fernando ;
Cemicharo, Jesus ;
Lacaze, Roselyne ;
Baret, Frederic ;
Weiss, Marie .
REMOTE SENSING OF ENVIRONMENT, 2013, 137 :310-329
[4]  
Chen J.M., 1996, Can. J. Rem. Sens., V22, P229, DOI [10.1080/07038992.1996.10855178, DOI 10.1080/07038992.1996.10855178]
[5]   Retrieval of canopy biophysical variables from bidirectional reflectance -: Using prior information to solve the ill-posed inverse problem [J].
Combal, B ;
Baret, F ;
Weiss, M ;
Trubuil, A ;
Macé, D ;
Pragnère, A ;
Myneni, R ;
Knyazikhin, Y ;
Wang, L .
REMOTE SENSING OF ENVIRONMENT, 2003, 84 (01) :1-15
[6]  
CORINE Land Cover, 2006, COORD INF ENV
[7]   Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe [J].
D'Odorico, Petra ;
Gonsamo, Alemu ;
Pinty, Bernard ;
Gobron, Nadine ;
Coops, Nicholas ;
Mendez, Elias ;
Schaepman, Michael E. .
REMOTE SENSING OF ENVIRONMENT, 2014, 142 :141-154
[8]  
Eenmae A., 2011, Forestry Studies / Metsanduslikud Uurimused, V55, P60
[9]   The Impact of Potential Land Cover Misclassification on MODIS Leaf Area Index (LAI) Estimation: A Statistical Perspective [J].
Fang, Hongliang ;
Li, Wenjuan ;
Myneni, Ranga B. .
REMOTE SENSING, 2013, 5 (02) :830-844
[10]   Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration [J].
Ganguly, Sangram ;
Nemani, Ramakrishna R. ;
Zhang, Gong ;
Hashimoto, Hirofumi ;
Milesi, Cristina ;
Michaelis, Andrew ;
Wang, Weile ;
Votava, Petr ;
Samanta, Arindam ;
Melton, Forrest ;
Dungan, Jennifer L. ;
Vermote, Eric ;
Gao, Feng ;
Knyazikhin, Yuri ;
Myneni, Ranga B. .
REMOTE SENSING OF ENVIRONMENT, 2012, 122 :185-202