Bringing an ecological view of change to Landsat-based remote sensing

被引:284
|
作者
Kennedy, Robert E. [1 ]
Andrefouet, Serge [2 ]
Cohen, Warren B. [3 ]
Gomez, Cristina [4 ]
Griffiths, Patrick [5 ]
Hais, Martin [6 ]
Healey, Sean P. [7 ]
Helmer, Eileen H. [8 ]
Hostert, Patrick [5 ]
Lyons, Mitchell B. [9 ,10 ]
Meigs, Garrett W. [11 ]
Pflugmacher, Dirk [5 ]
Phinn, Stuart R. [10 ]
Powell, Scott L. [12 ]
Scarth, Peter [10 ]
Sen, Susmita [13 ]
Schroeder, Todd A. [7 ]
Schneider, Annemarie [14 ]
Sonnenschein, Ruth [15 ]
Vogelmann, James E. [16 ]
Wulder, Michael A. [17 ]
Zhu, Zhe [1 ]
机构
[1] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
[2] Inst Rech Dev, Noumea, New Caledonia
[3] USDA Forest Serv, Pacific Northwest Res Stn, Corvallis, OR USA
[4] Univ Aberdeen, Sch Geosci, Aberdeen, Scotland
[5] Humboldt Univ, Dept Geog, D-10099 Berlin, Germany
[6] Univ South Bohemia, Fac Sci, Dept Ecosyst Biol, Ceske Budejovice, Czech Republic
[7] USDA Forest Serv, Rocky Mt Res Stn, Ogden, UT USA
[8] USDA Forest Serv, Int Inst Trop Forestry, Rio Piedras, PR USA
[9] Univ New S Wales, Ctr Ecosyst Sci, Sch Biol Earth & Environm Sci, Kensington, NSW 2033, Australia
[10] Univ Queensland, Joint Remote Sensing Res Program, Sch Geog Planning & Environm Management, Brisbane, Qld, Australia
[11] Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA
[12] Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA
[13] Virginia Tech Univ, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA
[14] Univ Wisconsin, Ctr Sustainabil & Global Environm, Madison, WI USA
[15] Inst Appl Remote Sensing, EURAC, Bozen Bolzano, Italy
[16] USGS EROS Data Ctr, Sioux Falls, SD USA
[17] Nat Resources Canada, Pacif Forestry Ctr, Canadian Forest Serv, Victoria, BC, Canada
基金
美国国家航空航天局;
关键词
TIME-SERIES; FOREST DISTURBANCE; COVER CHANGE; TREND ANALYSIS; ECOSYSTEM; SURFACE; AREA; IMAGERY; PHENOLOGY; QUANTIFICATION;
D O I
10.1890/130066
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
When characterizing the processes that shape ecosystems, ecologists increasingly use the unique perspective offered by repeat observations of remotely sensed imagery. However, the concept of change embodied in much of the traditional remote-sensing literature was primarily limited to capturing large or extreme changes occurring in natural systems, omitting many more subtle processes of interest to ecologists. Recent technical advances have led to a fundamental shift toward an ecological view of change. Although this conceptual shift began with coarser-scale global imagery, it has now reached users of Landsat imagery, since these datasets have temporal and spatial characteristics appropriate to many ecological questions. We argue that this ecologically relevant perspective of change allows the novel characterization of important dynamic processes, including disturbances, long-term trends, cyclical functions, and feedbacks, and that these improvements are already facilitating our understanding of critical driving forces, such as climate change, ecological interactions, and economic pressures.
引用
收藏
页码:339 / 346
页数:8
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