Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data
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...
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MDPI AG
2017-05-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/6/1243 |
| _version_ | 1811306381279494144 |
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| author | Shuyuan Liu Xiangnan Liu Meiling Liu Ling Wu Chao Ding Zhi Huang |
| author_facet | Shuyuan Liu Xiangnan Liu Meiling Liu Ling Wu Chao Ding Zhi Huang |
| author_sort | Shuyuan Liu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T08:43:24Z |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:43:24Z |
| publishDate | 2017-05-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-6d4ff833796244268a4961fff4b29bc52022-12-22T02:53:48ZengMDPI AGSensors1424-82202017-05-01176124310.3390/s17061243s17061243Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B DataShuyuan Liu0Xiangnan Liu1Meiling Liu2Ling Wu3Chao Ding4Zhi Huang5School of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaAn 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.http://www.mdpi.com/1424-8220/17/6/1243phenologyheavy metals stressriceHJ-1A/B CCDEVI |
| spellingShingle | Shuyuan Liu Xiangnan Liu Meiling Liu Ling Wu Chao Ding Zhi Huang Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data Sensors phenology heavy metals stress rice HJ-1A/B CCD EVI |
| title | Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data |
| title_full | Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data |
| title_fullStr | Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data |
| title_full_unstemmed | Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data |
| title_short | Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data |
| title_sort | extraction of rice phenological differences under heavy metal stress using evi time series from hj 1a b data |
| topic | phenology heavy metals stress rice HJ-1A/B CCD EVI |
| url | http://www.mdpi.com/1424-8220/17/6/1243 |
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