RADIOMETRIC CALIBRATION of LANDSAT-8 OLI and SENTINEL-2 MSI IMAGES for WATER QUALITY MODELLING of LAGUNA LAKE, PHILIPPINES

E. V. Gubatanga, A. C. Blanco, C. H. Lin, B. Y. Lin

研究成果: Conference article同行評審

摘要

Regular monitoring of water quality in Laguna Lake is important for it supports aquaculture and provides water supply for Metro Manila. Remote sensing makes it possible to monitor the spectral conditions of the lake on a regular time interval and with complete coverage except for the areas with cloud and shadow cover. Along with in-situ water quality measurements, bio-optical models can be developed to determine the relationship between spectral and bio-optical properties of the lake water and consequently enables the estimation of water quality through remote sensing. However, radiometric calibration is needed to minimize the effects of the changing atmospheric conditions over time and to account for the difference in sensors (e.g., Landsat-8 OLI, Sentinel-2 MSI) used for water quality assessment. Canonical correlation analysis is used to detect pseudo-invariant features (PIFs), which are ground objects that do not dramatically vary in spectral properties over time. Road surface and other large man-made infrastructures are the commonly detected PIFs. These PIFs are used to compute for the parameters used to normalize reflectance values of remotely-sensed images obtained on different dates and using different sensors. The normalization resulted to a reduction of difference in reflectance values between the reference image and the adjusted image, though not marginal. This is due to the use of a linear equation to adjust the image, which limits the ability of the reflectance values of the image to fit to the values of the reference image.

原文English
頁(從 - 到)229-232
頁數4
期刊International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
42
發行號4/W19
DOIs
出版狀態Published - 2019 十二月 23
事件2019 Geomatics and Data Science: Towards Adaptive Management in a Changing World, PhilGEOS x GeoAdvances 2019 - Manila, Philippines
持續時間: 2019 十一月 142019 十一月 15

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

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