Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty

Remote Sensing of Environment

Volumn 148, Issue , 2014, Pages 97-107

  White, Katharine ^a   Pontius, Jennifer ^a,b   Schaberg, Paul ^b  

^a UNIVERSITY OF VERMONT   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

EVI; Field to sensor scaling; Green leaf phenology; Landsat; NDVI; Vegetation indices

Indexed keywords

BIOLOGY; HARDWOODS; MEASUREMENTS; PIXELS; REMOTE SENSING; SYSTEMS ENGINEERING; VEGETATION;

EVI; FIELD TO SENSOR SCALING; LANDSAT; LEAF PHENOLOGY; NDVI; VEGETATION INDEX;

FORESTRY;

CANOPY ARCHITECTURE; COMPARATIVE STUDY; DECIDUOUS FOREST; ERROR ANALYSIS; FOREST ECOSYSTEM; LANDSAT THEMATIC MAPPER; LEAF AREA INDEX; NUMERICAL MODEL; PHENOLOGY; PIXEL; SATELLITE IMAGERY; SPRING (SEASON); UNCERTAINTY ANALYSIS; VEGETATION INDEX; IMAGERY;

EID: 84898631870     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.03.017     Document Type: Article

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