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Remote Sensing of Chlorophyll in Matagorda Bay and Surroundings Claire G. Griffin GIS in Water Resources Fall 2010
Outline Utility of Remote Sensing for Water Quality Data Matagorda Bay Data Image Processing Mapping Chlorophyll Implications
Remote Sensing of Water Quality Location-specific, empirical algorithms Continuous data, spatially explicit maps, access to remote areas
Matagorda Bay 3 rd largest estuary Connected to Lavaca and Tres Palacios Bays Lavaca River and Colorado River
Data Chlorophyll from TCEQ and TCOON 70 sites ▫20 corresponded with Landsat scenes 17 Landsat Scenes
Image Processing Download from USGS Window to include only Matagorda Bay Atmospheric Correction
Mapping Chlorophyll Extract reflectances from Landsat data Regress combinations of bands against Chl-a Apply best algorithm to Landsat imagery Validate with data from other dates
Implications and Uses Monitoring potential Tracking change Relating to watershed characteristics From Arismendez et al. (2009)
Date of download: 6/17/2016 Copyright © 2016 SPIE. All rights reserved. Location of the study area within the Bay of Biscay and oceanographic sampling.
Technology Overview Geographic Information Systems.
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Landsat and Carbon Assessments COP-15 Copenhagen, Denmark December 11, 2009 Dr. Marcia McNutt Director, U.S. Geological Survey U.S. Department of the Interior.
Recent advances in remote sensing in hydrology. Introduction Remote sensing has held a great deal of promise for hydrology, mainly because of the potential.
GeoTools 2009 Conference A Process For Mapping Shorelines and Intertidal Zones With Multitemporal LANDSAT 7 Images Process input: a series of LANDSAT images;
Pre-Processing Techniques for SWReGAP Land Cover Analysis Southwest Regional GAP Project Arizona, Colorado, Nevada, New Mexico, Utah US-IALE 2004, Las.
Liang APEIS Capacity Building Workshop on Integrated Environmental Monitoring of Asia-Pacific Region September 2002, Beijing,, China Atmospheric.
2 nd International Conference on Water and Flood Management ICWFM-2009 Flood Inundation Map of Bangladesh using MODIS Surface Reflectance Data AKM Saiful.
Tassia Owen OUTLINE 1. Introduction 2. What is the Earth Observatory? 3. What is NEO? 4. NEO Workshop & Tutorial 5. Conclusion.
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P R I S M Portable Remote Imaging SpectroMeter Pantazis “Zakos” Mouroulis, JPL Robert Green, JPL Heidi Dierssen, Uconn Bo-Cai Gao, Marcos Montes, NRL.
A Difficult Region for Remote Sensing Studies Probability of imaging the Brazilian Legal Amazon Once per year… Asner (2001) Int’l J. of Remote Sensing.
Use of remote sensing in monitoring algal blooms in inland water bodies Anabel A. Lamaro Fortaleza 1-
Mapping future snow cover in Idaho Brandon C. Moore University of Idaho.
Wetlands Investigation Utilizing GIS and Remote Sensing Technology for Lucas County, Ohio: a hybrid analysis. Nathan Torbick Spring 2003 Update on current.
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Remotely sensed land cover heterogeneity Mao-Ning Tuanmu 5/29/2012.
MSc Remote Sensing Supported by NERC Broad ranging course, concentrating on use of Earth observation for environmental analysis, mapping, image processing.
VIIRS-derived Chlorophyll-a using the Ocean Color Index method SeungHyun Son 1,2 and Menghua Wang 1 1 NOAA/NESDIS/STAR, E/RA3, College Park, MD, USA 2.
The Use of Remote Sensing in Habitat Management for Wildlife Helen Holdsworth EES 5053 University of Texas at San Antonio December 2, 2006
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The Next Three Weeks In this sequence we will cover end-to-end data collection and analysis for a practical application. The overall objective is to develop.
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Watershed Watch 2013 :: Elizabeth City State University Determination of an Empirical Model Relating Canopy Cover to NDVI Values in the Pasquotank Watershed,
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