Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques

Remote Sensing of Environment

Volumn 210, Issue , 2018, Pages 282-296

  Meng, Ran ^a   Wu, Jin ^a   Zhao, Feng ^b   Cook, Bruce D ^c   Hanavan, Ryan P ^d   Serbin, Shawn P ^a  

^a BROOKHAVEN NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d USDA FOREST SERVICE   (United States)

Author keywords

Burn severity; Fire adaptive strategies; Forest composition and structure; Hyperspectral data; Species specific post fire responses; Vegetation classification; WorldView 2

Indexed keywords

FORESTRY; OPTICAL RADAR; OPTICAL REMOTE SENSING; RECOVERY; SATELLITE IMAGERY; SPECTROSCOPY;

ADAPTIVE STRATEGY; BURN SEVERITY; FIRE ADAPTIVE STRATEGY; FIRE RESPONSE; FOREST COMPOSITIONS; FOREST STRUCTURE; HYPERSPECTRAL DATA; POST-FIRE; SPECIES SPECIFICS; SPECIES-SPECIFIC POST-FIRE RESPONSE; VEGETATION CLASSIFICATION; WORLDVIEW-2;

FIRES;

CONIFEROUS FOREST; DATA SET; DECIDUOUS FOREST; DETECTION METHOD; FOREST DYNAMICS; FOREST ECOSYSTEM; FOREST FIRE; FOREST MANAGEMENT; LIDAR; MEASUREMENT METHOD; MORTALITY; REMOTE SENSING; SATELLITE IMAGERY; SATELLITE SENSOR; SPATIOTEMPORAL ANALYSIS; UNDERSTORY; VEGETATION CLASSIFICATION; WORLDVIEW;

EID: 85044455257     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2018.03.019     Document Type: Article

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