Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests

被引:13
|
作者
Pisek, Jan [1 ]
Erb, Angela [2 ]
Korhonen, Lauri [3 ]
Biermann, Tobias [4 ]
Carrara, Arnaud [5 ]
Cremonese, Edoardo [6 ]
Cuntz, Matthias [7 ]
Fares, Silvano [8 ]
Gerosa, Giacomo [9 ]
Gruenwald, Thomas [10 ]
Hase, Niklas [11 ]
Heliasz, Michal [4 ]
Ibrom, Andreas [12 ]
Knohl, Alexander [13 ]
Kobler, Johannes [14 ]
Kruijt, Bart [15 ]
Lange, Holger [16 ]
Leppanen, Leena [17 ]
Limousin, Jean-Marc [18 ]
Lopez Serrano, Francisco Ramon [19 ]
Loustau, Denis [20 ]
Lukes, Petr [21 ]
Lundin, Lars [22 ]
Marzuoli, Riccardo [9 ]
Molder, Meelis [4 ]
Montagnani, Leonardo [23 ,31 ]
Neirynck, Johan [24 ]
Peichl, Matthias [25 ]
Rebmann, Corinna [11 ]
Rubio, Eva [19 ]
Santos-Reis, Margarida [26 ]
Schaaf, Crystal [2 ]
Schmidt, Marius [27 ]
Simioni, Guillaume [28 ]
Soudani, Kamel [29 ]
Vincke, Caroline [30 ]
机构
[1] Univ Tartu, Tartu Observ, Toravere, Tartumaa, Estonia
[2] Univ Massachusetts, Sch Environm, Boston, MA 02125 USA
[3] Univ Eastern Finland, Sch Forest Sci, Joensuu, Finland
[4] Lund Univ, Lund, Sweden
[5] Fdn CEAM, Valencia, Spain
[6] ARPA Valle dAosta, St Christophe, Italy
[7] Univ Lorraine, INRAE, AgroParisTech, UMR Silva, Nancy, France
[8] CNR Natl Res Council, Rome, Italy
[9] Univ Cattolica Sacro Cuore, Dept Math & Phys, Brescia, Italy
[10] Tech Univ Dresden, Dept Hydro Sci, Inst Hydrol & Meteorol, Dresden, Germany
[11] UFZ Helmholtz Ctr Environm Res, Leipzig, Germany
[12] Tech Univ Denmark, Dept Environm Engn, Lyngby, Denmark
[13] Univ Gottingen, Fac Forest Sci & Forest Ecol, Gottingen, Germany
[14] Umweltbundesamt GmbH, Vienna, Austria
[15] Wageningen Univ & Res, Dept Environm Sci, Wageningen, Netherlands
[16] Norwegian Inst Bioecon Res, As, Norway
[17] Finnish Meteorol Inst, Space & Earth Observat Ctr, Sodankyla, Finland
[18] Univ Montpellier, CNRS, EPHE, CEFE,IRD,Univ Paul Valery Montpellier, Montpellier, France
[19] Univ Castilla La Mancha, IER ETSIAM, Albacete, Spain
[20] INRAE, Bordeaux, France
[21] Acad Sci Czech Republ, Global Change Res Inst, Brno, Czech Republic
[22] Swedish Univ Agr Sci, Dept Soil & Environm, Uppsala, Sweden
[23] Free Univ Bolzano, Fac Sci & Technol, Bolzano, Italy
[24] INBO, Geraardsbergen, Belgium
[25] Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umea, Sweden
[26] cE3c Ctr Ecol Evolut & Environm Changes, Lisbon, Portugal
[27] Forschungszentrum Julich, Julich, Germany
[28] INRAE URFM, Avignon, France
[29] Univ Paris Saclay, AgroParisTech, CNRS, Ecol Systemat & Evolut, Orsay, France
[30] Catholic Univ Louvain, Earth & Life Inst, Fac Biosci Engn, Louvain La Neuve, Belgium
[31] Forest Serv, Bolzano, Autonomous Prov, Italy
基金
欧盟地平线“2020”; 瑞典研究理事会;
关键词
ALBEDO PRODUCT MCD43A; LEAF-AREA INDEX; UNDERSTORY REFLECTANCE; SEASONAL DYNAMICS; OPERATIONAL BRDF; BOREAL FORESTS; VEGETATION; SURFACE; DEFINITIONS; UTILITY;
D O I
10.5194/bg-18-621-2021
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Information about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate modeling of forest carbon and energy fluxes. We retrieved values of the normalized difference vegetation index (NDVI) of the forest understory with the multi-angular Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF)/albedo data (gridded 500 m daily Collection 6 product), using a method originally developed for boreal forests. The forest floor background reflectance estimates from the MODIS data were compared with in situ understory reflectance measurements carried out at an extensive set of forest ecosystem experimental sites across Europe. The reflectance estimates from MODIS data were, hence, tested across diverse forest conditions and phenological phases during the growing season to examine their applicability for ecosystems other than boreal forests. Here we report that the method can deliver good retrievals, especially over different forest types with open canopies (low foliage cover). The performance of the method was found to be limited over forests with closed canopies (high foliage cover), where the signal from understory becomes too attenuated. The spatial heterogeneity of individual field sites and the limitations and documented quality of the MODIS BRDF product are shown to be important for the correct assessment and validation of the retrievals obtained with remote sensing.
引用
收藏
页码:621 / 635
页数:15
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