How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms?

Forests

Volumn 8, Issue 4, 2017, Pages

  Cohen, Warren B ^a   Healey, Sean P ^b   Yang, Zhiqiang ^c   Stehman, Stephen V ^d   Brewer, C Kenneth ^e   Brooks, Evan B ^f   Gorelick, Noel ^g   Huang, Chengqaun ^h   Hughes, M Joseph ^c   Kennedy, Robert E ^c   Loveland, Thomas R ⁱ   Moisen, Gretchen G ^b   Schroeder, Todd A ^i,k   Vogelmann, James E ⁱ   Woodcock, Curtis E ^j   Yang, Limin ⁱ   Zhu, Zhe ^i,l  

^a PACIFIC NORTHWEST RESEARCH STATION   (United States)

^b ROCKY MOUNTAIN RESEARCH STATION   (United States)

^c OREGON STATE UNIVERSITY   (United States)

^d STATE UNIVERSITY OF NEW YORK   (United States)

^e ROCKY MOUNTAIN RESEARCH STATION   (United States)

^f VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^g GOOGLE   (Switzerland)

^h UNIVERSITY OF MARYLAND   (United States)

ⁱ U S GEOLOGICAL SURVEY   (United States)

^j BOSTON UNIVERSITY   (United States)

^k USDA FOREST SERVICE   (United States)

^l TEXAS TECH UNIVERSITY   (United States)

more..

Author keywords

Change detection; Forest disturbance; Landsat time series; Remote sensing

Indexed keywords

CONFORMAL MAPPING; ERRORS; REMOTE SENSING; TIME SERIES;

CHANGE DETECTION; DISTURBANCE MAPPINGS; ECOLOGICAL PROCESS; FOREST DISTURBANCES; LANDSAT TIME SERIES; OMISSION AND COMMISSION ERRORS; TARGETS OF INTEREST; UNDISTURBED FORESTS;

FORESTRY;

ALGORITHM; DATA SET; FOREST DYNAMICS; LANDSAT; MAP; REMOTE SENSING; TIME SERIES;

ALGORITHMS; ECOLOGY; FORESTRY; REMOTE SENSING; TIME SERIES ANALYSIS;

UNITED STATES;

EID: 85017381947     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f8040098     Document Type: Article

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