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 proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-113
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Scopus Subject Areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

User-Defined Keywords

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

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