Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 137, Issue , 2018, Pages 134-148

  Zarco Tejada, P J ^a   Hornero, A ^b   Hernandez Clemente R ^c   Beck, P S A ^a  

^a EUROPEAN COMMISSION   (Belgium)

^b INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^c SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Chlorophyll; Forest decline; Hyperspectral; Radiative transfer; Red edge; Sentinel 2a

Indexed keywords

FORESTRY; PIXELS; RADIATIVE TRANSFER; REMOTE SENSING; SENSITIVITY ANALYSIS; SPECTROSCOPY;

CHLOROPHYLL INDEX; FOREST DECLINE; HIGH RESOLUTION; HYPERSPECTRAL; NORMALIZED DIFFERENCE VEGETATION INDEX; RATE OF CHANGE; RED EDGE; SENTINEL-2A; SPECTRAL REGION; TEMPORAL DIMENSIONS;

CHLOROPHYLL;

CHLOROPHYLL; CONIFEROUS TREE; FOREST EDGE; MODEL VALIDATION; NDVI; PIGMENT; POPULATION DECLINE; RADIATIVE TRANSFER; SATELLITE IMAGERY; SENTINEL; SPATIOTEMPORAL ANALYSIS; SPECTRAL RESOLUTION;

EID: 85041384473     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2018.01.017     Document Type: Article

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