The MODIS (Collection V005) BRDF/albedo product: Assessment of spatial representativeness over forested landscapes

被引：220

作者：

Roman, Miguel O. ^{[1
,2
]}

Schaaf, Crystal B. ^{[2
]}

Woodcock, Curtis E. ^{[2
]}

Strahler, Alan H. ^{[2
]}

Yang, Xiaoyuan ^{[2
]}

Braswell, Rob H. ^{[3
]}

Curtis, Peter S. ^{[4
]}

Davis, Kenneth J. ^{[5
]}

Dragoni, Danilo ^{[6
]}

Goulden, Michael L. ^{[7
]}

Gu, Lianhong ^{[8
]}

Hollinger, David Y. ^{[9
]}

Kolb, Thomas E. ^{[10
]}

Meyers, Tilden P. ^{[11
]}

Munger, J. William ^{[12
]}

Privette, Jeffrey L. ^{[13
]}

Richardson, Andrew D. ^{[14
]}

Wilson, Tim B. ^{[11
]}

Wofsy, Steven C. ^{[12
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Terr Informat Syst Branch, Greenbelt, MD USA

[2] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA

[3] Complex Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH USA

[4] Ohio State Univ, Dept Evolut Ecol & Organism Biol, Columbus, OH 43210 USA

[5] Penn State Univ, Dept Meteorol, University Pk, PA 16802 USA

[6] Indiana Univ, Dept Geog, Bloomington, IN 47405 USA

[7] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA

[8] Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37831 USA

[9] USDA Forest Serv, No Res Stn, Durham, NH USA

[10] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA

[11] NOAA, Atmospher Turbulence & Diffus Div, Oak Ridge, IN USA

[12] Harvard Univ, Div Engn & Appl Sci, Cambridge, MA 02138 USA

[13] NOAA, Natl Climat Data Ctr, Asheville, NC USA

[14] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2009年 / 113卷 / 11期

基金：

美国国家航空航天局;

关键词：

MODIS; BRDF; Surface albedo; Validation; Spatial analysis; Remote sensing; AmeriFlux; FLUXNET; EOS Land Validation Core Sites; ETM; 6S; Geostatistics; LAND-SURFACE ALBEDO; BIDIRECTIONAL REFLECTANCE; NADIR REFLECTANCE; NORTHERN ARIZONA; CARBON-DIOXIDE; VALIDATION; CLIMATE; VEGETATION; RETRIEVAL; CANOPY;

D O I：

10.1016/j.rse.2009.07.009

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A new methodology for establishing the spatial representativeness of tower albedo measurements that are routinely used in validation of satellite retrievals from global land surface albedo and reflectance anisotropy products is presented. This method brings together knowledge of the intrinsic biophysical properties of a measurement site, and the surrounding landscape to produce a number of geostatistical attributes that describe the overall variability, spatial extent, strength of the spatial correlation, and spatial structure of surface albedo patterns at separate seasonal periods throughout the year. Variogram functions extracted from Enhanced Thematic Mapper Plus (ETM+) retrievals of surface albedo using multiple spatial and temporal thresholds were used to assess the degree to which a given point (tower) measurement is able to capture the intrinsic variability of the immediate landscape extending to a satellite pixel. A validation scheme was implemented over a wide range of forested landscapes, looking at both deciduous and coniferous sites, from tropical to boreal ecosystems. The experiment focused on comparisons between tower measurements of surface albedo acquired at local solar noon and matching retrievals from the MODerate Resolution Imaging Spectroradiometer (MODIS) (Collection V005) Bidirectional Reflectance Distribution Function (BRDF)/albedo algorithm. Assessments over a select group of field stations with comparable landscape features and daily retrieval scenarios further demonstrate the ability of this technique to identify measurement sites that contain the intrinsic spatial and seasonal features of surface albedo over sufficiently large enough footprints for use in modeling and remote sensing studies. This approach, therefore, improves our understanding of product uncertainty both in terms of the representativeness of the field data and its relationship to the larger satellite pixel. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：2476 / 2498

页数：23

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