WK 9 - MODIS and SAR Remote-Sensing Data Acquisition and Analysis Tools for Ecology Research

Sunday, August 7, 2011: 9:00 AM-12:00 PM
19A, Austin Convention Center
Organizer: Tammy Beaty
Co-organizers: Suresh K.S. Vannan and Vicky Wolf
Speaker: Robert Cook
This workshop will provide participants with training on National Aeronautics and Space Administration’s (NASA’s) MODIS (MODerate resolution Imaging Spectroradiometer) and SAR (Synthetic Aperture RADAR) data products and tools. Ecologists will learn how to find, access, manipulate, and download MODIS and SAR data with out special knowledge or software experience. MODIS views the Earth’s surface collecting data in 36 spectral bands. Land Products generated from MODIS include land surface temperature, reflectance, vegetation indices, phenology, land cover, albedo, and photosynthesis. The Advanced Land Observing Satellite-Phased Array L-band SAR (ALOS-PALSAR) is an active microwave sensor using the L-band frequency to achieve cloud-free and day-and-night land observations, including soil moisture, climatology (ice on/ice off), and ecosystem structure. This workshop will cover five tools developed by NASA’s Oak Ridge National Laboratory (ORNL) DAAC for Biogeochemical Dynamics, Alaska Satellite Facility (ASF) SAR Data Center (SDC), and National Snow and Ice Data Center (NSIDC). The first three toolsets were developed by ORNL DAAC, the MODIS Land Products Subsetting and Visualization Tool produces subsets of MODIS time series data. This toolset includes data for selected field sites, a global data tool, and a Web Service. The second tool – Spatial Data Access Tool (SDAT) - allows users to find, access, and download spatial data in user selected format. Additionally, an ORNL DAAC tool for discovery of MODIS and SAR data will be demonstrated. The forth and fifth tools were developed by NASA’s ASF SDC, User Remote-Sensing Access (URSA) and MapReady Remote Sensing Tool Kit. URSA provides users with the ability to search and order SAR Products, while MapReady can terrain correct, geocode, apply polarimetric decompositions to multi-pol SAR data, and save to several common imagery formats including GeoTIFF, SAR data from different SAR sensors.
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