NDLI: A Validation Study of an Improved SWIR Iterative Atmospheric Correction Algorithm for MODIS-Aqua Measurements in Lake Taihu, China

Content Provider	IEEE Xplore Digital Library
Author	Minwei Zhang Ronghua Ma Junsheng Li Bing Zhang Hongtao Duan
Copyright Year	1980
Abstract	We have presented an improved short-wave infrared (SWIR)-based iterative algorithm for the atmospheric correction (AC) of Moderate Resolution Imaging Spectroradiometer (MODIS) data over Lake Taihu, China. The algorithm was validated by means of matchup comparison between MODIS-retrieved and in situ remote sensing reflectances (R_rs). Four examples of the matchup comparison were first carried out for the observation stations within a ±5-min time window of MODIS overpass and field measurements. It is shown in the examples that the retrieved R_rs spectra compare reasonably well with the in situ measurements not only over relatively clear waters (with R_rs(859) about 0.0014 sr^-1) but also over turbid waters (with R_rs(859) about 0.013 sr^-1). The matchup comparison was further carried out for a total of 54 observation stations within a ±2-h time window, indicating that the AC algorithm has good performance for producing water spectra from MODIS data over Lake Taihu. The development of an algal bloom event has been monitored using MODIS-measured R_rs(443) and R_rs(859), showing that MODIS data, combined with the AC algorithm, can be a useful tool for monitoring the water quality of Lake Taihu. The SWIR iterative algorithm, along with the chlorophyll-a concentration (Chl-a) retrieval model using red to near-infrared bands, has the potential of monitoring Chl-a quantitatively and providing useful information for decision makers to manage the water environment and to prepare for events as algal blooms.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	4686
Ending Page	4695
Page Count	10
File Size	1590816
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lakes MODIS Aerosols Monitoring Pollution measurement Water pollution Sea measurements water pollution Atmosphere lakes remote sensing
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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