Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment

Fangli Zhang; Qiming ZHOU

doi:10.1109/IGARSS.2015.7325710

Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment

Fangli Zhang
, Qiming ZHOU

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

Coastal water quality conditions have great influences on the ecological environment of tropical coastal regions. Conventional in-situ measuring approach is time consuming and laborious. The growing remote sensing data and techniques have become more widely used in estimating water quality parameters based on the reflection and absorption characteristics. The reflected spectral signals from the water body are easy to be disturbed or confused due to the uncertainty of cloud cover before they are recorded by remote sensors. Moreover, the atmospheric correction of remotely sensed data has always been one of the most difficult steps in quantitative remote sensing application research, especially in tropical cloudy environment. This project tries to improve the satellite-based water quality monitoring framework with the assistance of low-altitude remote remote platform, and the present study will preliminarily explore the feasibility and superiority of low-altitude spectral characteristics for monitoring water quality in coastal cloudy regions.

Original language	English
Title of host publication	2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Publisher	IEEE
Pages	110-113
Number of pages	4
ISBN (Electronic)	9781479979295
DOIs	https://doi.org/10.1109/IGARSS.2015.7325710
Publication status	Published - 10 Nov 2015
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: 26 Jul 2015 → 31 Jul 2015

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2015-November

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/Territory	Italy
City	Milan
Period	26/07/15 → 31/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

User-Defined Keywords

cloud cover
low-altitude
remote sensing
unmanned aerial vehicle (UAV)
Water quality

Access to Document

10.1109/IGARSS.2015.7325710

Cite this

Zhang, F., & ZHOU, Q. (2015). Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 110-113). Article 7325710 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). IEEE. https://doi.org/10.1109/IGARSS.2015.7325710

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title = "Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment",

abstract = "Coastal water quality conditions have great influences on the ecological environment of tropical coastal regions. Conventional in-situ measuring approach is time consuming and laborious. The growing remote sensing data and techniques have become more widely used in estimating water quality parameters based on the reflection and absorption characteristics. The reflected spectral signals from the water body are easy to be disturbed or confused due to the uncertainty of cloud cover before they are recorded by remote sensors. Moreover, the atmospheric correction of remotely sensed data has always been one of the most difficult steps in quantitative remote sensing application research, especially in tropical cloudy environment. This project tries to improve the satellite-based water quality monitoring framework with the assistance of low-altitude remote remote platform, and the present study will preliminarily explore the feasibility and superiority of low-altitude spectral characteristics for monitoring water quality in coastal cloudy regions.",

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Zhang, F & ZHOU, Q 2015, Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment. in 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings., 7325710, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2015-November, IEEE, pp. 110-113, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, 26/07/15. https://doi.org/10.1109/IGARSS.2015.7325710

Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment. / Zhang, Fangli; ZHOU, Qiming.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings. IEEE, 2015. p. 110-113 7325710 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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N2 - Coastal water quality conditions have great influences on the ecological environment of tropical coastal regions. Conventional in-situ measuring approach is time consuming and laborious. The growing remote sensing data and techniques have become more widely used in estimating water quality parameters based on the reflection and absorption characteristics. The reflected spectral signals from the water body are easy to be disturbed or confused due to the uncertainty of cloud cover before they are recorded by remote sensors. Moreover, the atmospheric correction of remotely sensed data has always been one of the most difficult steps in quantitative remote sensing application research, especially in tropical cloudy environment. This project tries to improve the satellite-based water quality monitoring framework with the assistance of low-altitude remote remote platform, and the present study will preliminarily explore the feasibility and superiority of low-altitude spectral characteristics for monitoring water quality in coastal cloudy regions.

AB - Coastal water quality conditions have great influences on the ecological environment of tropical coastal regions. Conventional in-situ measuring approach is time consuming and laborious. The growing remote sensing data and techniques have become more widely used in estimating water quality parameters based on the reflection and absorption characteristics. The reflected spectral signals from the water body are easy to be disturbed or confused due to the uncertainty of cloud cover before they are recorded by remote sensors. Moreover, the atmospheric correction of remotely sensed data has always been one of the most difficult steps in quantitative remote sensing application research, especially in tropical cloudy environment. This project tries to improve the satellite-based water quality monitoring framework with the assistance of low-altitude remote remote platform, and the present study will preliminarily explore the feasibility and superiority of low-altitude spectral characteristics for monitoring water quality in coastal cloudy regions.

KW - cloud cover

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KW - unmanned aerial vehicle (UAV)

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Low-altitude remote sensing platform for estimating suspended sediment concentration in tropical cloudy environment

Abstract

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UN SDGs

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