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Sensors 2017, 17(6), 1243;

Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data

School of Information Engineering, China University of Geosciences, Beijing 100083, China
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 1 April 2017 / Revised: 3 May 2017 / Accepted: 26 May 2017 / Published: 30 May 2017
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An effective method to monitor heavy metal stress in crops is of critical importance to assure agricultural production and food security. Phenology, as a sensitive indicator of environmental change, can respond to heavy metal stress in crops and remote sensing is an effective method to detect plant phenological changes. This study focused on identifying the rice phenological differences under varied heavy metal stress using EVI (enhanced vegetation index) time-series, which was obtained from HJ-1A/B CCD images and fitted with asymmetric Gaussian model functions. We extracted three phenological periods using first derivative analysis: the tillering period, heading period, and maturation period; and constructed two kinds of metrics with phenological characteristics: date-intervals and time-integrated EVI, to explore the rice phenological differences under mild and severe stress levels. Results indicated that under severe stress the values of the metrics for presenting rice phenological differences in the experimental areas of heavy metal stress were smaller than the ones under mild stress. This finding represents a new method for monitoring heavy metal contamination through rice phenology. View Full-Text
Keywords: phenology; heavy metals stress; rice; HJ-1A/B CCD; EVI phenology; heavy metals stress; rice; HJ-1A/B CCD; EVI

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Liu, S.; Liu, X.; Liu, M.; Wu, L.; Ding, C.; Huang, Z. Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data. Sensors 2017, 17, 1243.

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