Blending NPP-VIIRS and landsat OLI images for flood inundation monitoring

C. Huang, Y. Chen, S. Q. Zhang, R. Liu, K. F. Shi, L. Y. Li, J. P. Wu

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

Measuring surface water using remote sensing technology is an essential research topic in many research areas, including flood-related studies and water resource management. Recent advances in satellite remote sensing have provided more efficient ways of monitoring surface water from space. Several sensors, such as the Visible Infrared Imaging Radiometer Suite on board Suomi National Polar-orbiting Partnership (Suomi NPP-VIIRS) and Operational Land Imager (OLI) on board Landsat 8, have begun to monitor earth surface in recent years. They have been continuously providing enormous remotely sensed images. Nevertheless, it has to be noted that tradeoffs between spatial and temporal resolutions of these images still exist. Medium- to high-resolution images, such as Landsat OLI, are typically available fortnightly or less often, which limits their applications for intensively and continuously monitoring flood inundation dynamics. Whereas coarse-resolution sensors, such as NPP-VIIRS, scan the earth's surface once or several times a day, but their coarse spatial resolution hampers the correct mapping of flooded areas. This study, therefore, aims to blend NPP-VIIRS and Landsat OLI images in order to gain high spatial resolution from Landsat OLI and high temporal resolution from NPP-VIIRS simultaneously. Two classic fusion models, namely the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) were tested and evaluated. Particularly, the fusion results of both models were compared with the actual Landsat images in order to evaluate the accuracy of these fusion results. It is hoped that this study will enlighten other studies that require remotely sensed data with both high spatial and temporal resolutions.

Original languageEnglish
Title of host publicationProceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015
EditorsTony Weber, Malcolm McPhee, Robert Anderssen
Place of PublicationAustralia
PublisherModelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ)
Pages2318-2324
Number of pages7
ISBN (Electronic)9780987214355
Publication statusPublished - 2015
Externally publishedYes
Event21st International Congress on Modelling and Simulation: Partnering with Industry and the Community for Innovation and Impact through Modelling, MODSIM 2015 - Held jointly with the 23rd National Conference of the Australian Society for Operations Research and the DSTO led Defence Operations Research Symposium, DORS 2015 - Broadbeach, Australia
Duration: 29 Nov 20154 Dec 2015

Publication series

NameProceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015

Conference

Conference21st International Congress on Modelling and Simulation: Partnering with Industry and the Community for Innovation and Impact through Modelling, MODSIM 2015 - Held jointly with the 23rd National Conference of the Australian Society for Operations Research and the DSTO led Defence Operations Research Symposium, DORS 2015
Country/TerritoryAustralia
CityBroadbeach
Period29/11/154/12/15

Fingerprint

Dive into the research topics of 'Blending NPP-VIIRS and landsat OLI images for flood inundation monitoring'. Together they form a unique fingerprint.

Cite this