2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)

Rockville, MD

Meeting Date:

04/12/2017 to 04/14/2017

Agenda Title:

LCLUC Spring 2017 Agenda

Agenda File:

Agenda-LCLUC ST Spring 2017.pdf

Meeting Report:

Rockville_2017_article.pdf

Meeting Focus:

This LCLUC Science Team meeting (2.5 days) is in two parts:

Presentations from the LCLUC Science Team members funded for research on LCLUC in Mountainous Regions and Synthesis studies (ROSES 2103 Selections) and to review posters of recent results from other on going LCLUC research,
Presentations on the Multi-source Land Imaging (MuSLI) projects.
Note: That the third day will be a closed-door meeting for the MuSLI PI's and their international collaborators only.

The meeting agenda is posted above.

The list of poster presentations can be found here: http://lcluc.umd.edu/documents/lcluc-2017-poster-presentations

Pictures from the meeting may be viewed here: https://www.dropbox.com/sh/jz5mfpzuq6ug6gk/AAD60w-win3ZP2rIH4lO8pina?dl=0

Attendees List

Meeting Presentations

Title	Presenter	Institution
MAIRS-FE Update and Future Activities in the Monsoon Asia	Jiaguo Qi	Michigan State University
Multi-source Imaging of Infrastructure and Urban Growth using Landsat, Sentinel and SRTM	Christopher Small	Columbia University
Multi-source imaging of time-serial tree and water cover at continental and global scales	Joseph Sexton	University of Maryland
Multisource Imaging of Seasonal Dynamics in Land Surface Phenology	Mark Friedl	Boston University
NASA and SERVIR capacity building activities in South and Southeast Asia	Nancy Searby	NASA Headquarters
Near-real time rice mapping	Nathan Torbick	Michigan State University
South/Southeast Asia Research initiative update	Krishna Vadrevu	NASA Marshall
Structural transformation, increasing returns to scale and land use change – or a proposal for a unified land use theory	Volker Radeloff	University of Wisconsin-Madison
Synthesis of LCLUC Studies on Urbanization	Karen Seto	Yale University
Towards Near Daily Monitoring of Inundated Areas over North America through Multi-Source Fusion of Optical and Radar Data	Chengquan Huang	University of Maryland