Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series

Meiling Liu, Xiangnan Liu, A.K. Skidmore, Tiejun Wang

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

The purpose of this study focused on integrating spectral indices with spatio-temporal characteristics to identify multistressor in crops. The experimental areas are located in Dongting Lake (DL), Hunan Province, China. Multitemporal Sentinel-2 (S2) images in 2016, 2017 were collected. Red-edge chlorophyll index (CIred-edge), rededge position (REP), normalized difference red-edge 2 (NDRE2) were calculated. The coefficients of spatiotemporal variation (CSTV) from spectral indices allowed us to discriminate crops exposed to pollution from heavy metal as well as environmental stressors. The results indicated that three indices were good indicators for identifying different environmental stressor in agriculture ecosystem. Crops under heavy metal stress remained stable with lower CSTV values, while crop ‘hot spots’ (with greater CSTV values) were affected by abrupt stressors (i.e., pest and disease, drought) at some growth stage. It concluded that spectral indices and spatio-temporal characteristics show promise for monitoring crops with various stressors.
Original languageEnglish
Title of host publication IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Pages9335-9338
Number of pages4
ISBN (Electronic)978-1-5386-7150-4
DOIs
Publication statusPublished - 5 Nov 2018
Event38th IEEE International Geoscience and Remote Sensing Symposium 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Conference

Conference38th IEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

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time series
crop
ecosystem
heavy metal
chlorophyll
drought
index
agriculture
pollution
lake
monitoring

Cite this

Liu, M., Liu, X., Skidmore, A. K., & Wang, T. (2018). Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 9335-9338). IEEE. https://doi.org/10.1109/IGARSS.2018.8651434
Liu, Meiling ; Liu, Xiangnan ; Skidmore, A.K. ; Wang, Tiejun. / Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. pp. 9335-9338
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abstract = "The purpose of this study focused on integrating spectral indices with spatio-temporal characteristics to identify multistressor in crops. The experimental areas are located in Dongting Lake (DL), Hunan Province, China. Multitemporal Sentinel-2 (S2) images in 2016, 2017 were collected. Red-edge chlorophyll index (CIred-edge), rededge position (REP), normalized difference red-edge 2 (NDRE2) were calculated. The coefficients of spatiotemporal variation (CSTV) from spectral indices allowed us to discriminate crops exposed to pollution from heavy metal as well as environmental stressors. The results indicated that three indices were good indicators for identifying different environmental stressor in agriculture ecosystem. Crops under heavy metal stress remained stable with lower CSTV values, while crop ‘hot spots’ (with greater CSTV values) were affected by abrupt stressors (i.e., pest and disease, drought) at some growth stage. It concluded that spectral indices and spatio-temporal characteristics show promise for monitoring crops with various stressors.",
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Liu, M, Liu, X, Skidmore, AK & Wang, T 2018, Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, pp. 9335-9338, 38th IEEE International Geoscience and Remote Sensing Symposium 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8651434

Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. / Liu, Meiling ; Liu, Xiangnan; Skidmore, A.K.; Wang, Tiejun.

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. p. 9335-9338.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Liu M, Liu X, Skidmore AK, Wang T. Identifying multiple stressors in regional agro-ecosystems based on Sentinel-2 spectral indices time series. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2018. p. 9335-9338 https://doi.org/10.1109/IGARSS.2018.8651434