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Landsat Missions

Landsat Science Team, 2012 - 2017

The 2012-2017 Landsat Science Team co-leaders are Dr. Curtis Woodcock (Boston University) and Dr. David Roy (South Dakota State University). Dr. Tom Loveland (USGS EROS Center) and Dr. Jim Irons (NASA GSFC) are the agency co-chairs. Team meeting agendas and presentations can be found on the Team Meetings page.

Landsat Science Team, 2012 thru 2017

The team members, affiliations, and research and applications emphases are:

Developing and enhancing Landsat derived evapotranspiration and surface energy products Mapping vegetation phenology, water use and drought at high spatiotemporal resolution fusing multi-band and multi-platform satellite imagery Understanding the global land-use marketplace Ecological Applications of Landsat Data in the Context of US Forest Service Science and Operational Needs Landsat data continuity: advanced radiometric characterization and product development Integrating Field-Level Biophysical Metrics Derived from Landsat Science Products into a National Agricultural Data Warehouse Synergies between future Landsat and European satellite missions for better understanding coupled human-environment systems Operational monitoring of US croplands with Landsat 8 Using time-series approaches to improve Landsat's characterization of land surface dynamics Multi-temporal Analysis of biophysical parameters derived from the Landsat Series of satellites Absolute radiometric and climate variable intercalibration of Earth observing sensors Continuity of the Web Enabled Landsat Data (WELD) Product Record in the LDCM Era North American Land Surface Albedo and Nearshore Shallow Bottom Properties from Landsat and MODIS/VIIR Cryospheric Applications of the Landsat Data Continuity Mission (Landsat 8) The Use of LDCM for the Monitoring of Fresh and Coastal Water Developing Decadal High Resolution Global Lake Products from LDCM and Landsat Development of Landsat surface reflectance Climate Data Records Ecological Disturbance Monitoring using Landsat Time Series Data Better Use of the Landsat Temporal Domain: Monitoring Land Cover Type, Condition and Change Integrating the past, present, and future of Landsat Making Multitemporal Work

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