On the potentiality of UAV multispectral imagery to detect Flavescence dorée and Grapevine Trunk Diseases

Remote Sensing

Volumn 11, Issue 1, 2019, Pages

  Albetis, Johanna ^a   Jacquin, Anne ^b   Goulard, Michel ^a   Poilvé, Hervé ^b   Rousseau, Jacques ^c   Clenet, Harold ^a   Dedieu, Gerard ^a   Duthoit, Sylvie ^d  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b AIRBUS DEFENCE AND SPACE   (Germany)

^c La Jasse de Maurin   (France)

^d TerraNIS   (France)

Author keywords

Biophysical parameters; Disease detection; Flavescence dor e; Grapevine trunk diseases; Unmanned aerial vehicle; Vegetation indices

Indexed keywords

AIRCRAFT DETECTION; ANTENNAS; BIOPHYSICS; BREWERIES; FINITE DIFFERENCE METHOD; FRUITS; MAPPING; PIGMENTS; PIXELS; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV); WINE;

AUTOMATIC DETECTION; BIOPHYSICAL PARAMETERS; DISEASE DETECTION; MULTI-SPECTRAL IMAGERY; MULTISPECTRAL IMAGES; PERFORMANCE INDICATORS; RECEIVER OPERATOR CHARACTERISTIC CURVES; VEGETATION INDEX;

VEGETATION;

EID: 85059962796     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs11010023     Document Type: Article

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