Optimising phenological metrics extraction for different crop types in Germany using the moderate resolution imaging Spectrometer (MODIS)

Remote Sensing

Volumn 9, Issue 3, 2017, Pages

  Xu, Xingmei ^a   Conrad, Christopher ^b   Doktor, Daniel ^a  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

Crop; Field observations; Moderate resolution imaging spectrometer (MODIS); Normalized difference vegetation index (NDVI); Phenological metrics; Phenology

Indexed keywords

BIOLOGY; CALIBRATION; CROPS; EXTRACTION; IMAGE RECONSTRUCTION; MEAN SQUARE ERROR; PLANTS (BOTANY); RADIOMETERS; SATELLITES; SUGAR BEETS; VEGETATION;

FIELD OBSERVATIONS; MODERATE RESOLUTION IMAGING SPECTROMETERS; NORMALIZED DIFFERENCE VEGETATION INDEX; PHENOLOGICAL METRICS; PHENOLOGY;

SPECTROMETERS;

EID: 85019907226     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9030254     Document Type: Article

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