Multi-Source Land Imaging (MuSLI)

Background

The current focus is to promote and enhance the use of multiple sensor data at high-to-moderate space resolution allowing for more clear-sky observations to study landscape changes over the globe and develop continental and global higher level LCLUC products. The Landsat and ESA Sentinel programs are both providing users free access to their data. This and the availability of two Landsats (-7 and -8), two Sentinel-2 (a and b) and two Sentinel-1 (a and b - radars) all currently in space opens a new era for dense time series research at 10-30m spatial resolution studying forest, agriculture and urban processes with observations every 2-3 days, provided the sky is clear. The Multi-Source Land Imaging (MuSLI) team under the LCLUC program is focused on developing innovative approaches using multiple sensor data for continental and global products. A recent call for MuSLI proposals will result in a new team during fall 2017. There is a plan to coordinate and combine these activities with the new Landsat Science Team that will be formed by USGS in late 2017. 

The Landsat-8 and Sentinel-2 harmonized surface reflectance product is well under way. The details regarding this project are available at: https://hls.gsfc.nasa.gov/

Tools

Version 2.0 Landsat-8 and Sentinel-2 registration software https://openprairie.sdstate.edu/landsat_sentinel_registration/2/

Current MuSLI Projects

Title Principal Investigator Institution Project Start Date
Global Hotspots of Change in Mangrove Forests Marc Simard Caltech/ Jet Propulsion Laboratory 06/01/2021
Quantifying agricultural expansion and tropical forest degradation in the Brazilian Arc of Deforestation: A multi-sensor, multi-scale approach Michael Keller USDA Forest Service, Jet Propulsion Laboratory 02/08/2021
The Impact of Investment on Irrigated Rice, Dryland Agriculture and Afforestation in Senegal using SAR and Optical Time-Series Imagery in Data Fusion Approaches Christopher Neigh NASA Goddard Space Flight Center 01/01/2021
Sensor fusion using daily Planet imagery allows rapid deforestation monitoring in Madagascar Sean Healey United States Forest Service 01/01/2021
Where are the missing burned areas? Global hotspots of burned area – a multiresolution analysis David Roy Michigan State University 01/01/2021
High-Impact Hot Spots of Land Cover Land Use Change: Ukraine and Neighboring Countries Sergii Skakun University of Maryland 01/01/2021
Multi-resolution quantification and driver assessment of hot spots of global forest disturbance Alexandra Tyukavina University of Maryland, College Park 01/01/2021
Multi-source Wildland Urban Interface Characterization Enhanced with Machine Learning Technique: Dynamics and Hazard Assessment Yufang Jin UC Davis 01/01/2021
Making the Hidden Visible: Accelerated Land-Use Change and Degradation Caused by Narco-Trafficking In and Around Central America’s Protected Areas Nicholas Magliocca The University of Alabama 01/01/2021
The last urban frontier: Assessing drivers of urbanization and tradeoffs among social and ecosystem services associated with LCLUC in Africa Jody C. Vogeler Colorado State University   01/01/2021
Hotspot Detection for Monitoring New Trends in Carbon Sequestration in Systems of Trees Outside of Forests David Skole Michigan State University 01/01/2021
Developing novel GPP estimation for crops at field-level using new-generation satellite data in the US Corn Belt Kaiyu Guan University of Illinois at Urbana Champaign 09/01/2020
Forced and Truncated Agrarian Transitions in Asia Through the Lens of Field Size Change Lin Yan Michigan State University 01/01/2020
Monitoring Abandoned Agriculture, Fallow Fields, and Grasslands with Landsat and Sentinel-2 Volker Radeloff University of Wisconsin-Madison 05/01/2018
Africa Burned Area Product Generation, Quality Assessment and Validation - Demonstrating a Multi-Source Land Imaging (MuSLI) Landsat-8 Sentinel-2 Capability David Roy Michigan State University 05/01/2018
Prototyping MuSLI canopy Chlorophyll Content for Assessment of Vegetation Function and Productivity Petya Campbell NASA/GSFC 05/01/2018
Characterizing Field-Scale Water Use, Phenology and Productivity in Agricultural Landscapes Using Multi-Sensor Data Fusion Martha Anderson USDA-ARS 05/01/2018
Crop Yield Assessment and Mapping by a Combined use of Landsat-8, Sentinel-2 and Sentinel-1 Images Sergii Skakun University of Maryland 02/01/2018
Circumpolar Albedo of Northern Lands from Landsat-8 and Sentinel-2 Crystal Schaaf University of Massachusetts Boston 01/31/2018
An Operational Multisource Land Surface Phenology Product from Landsat and Sentinel 2 Mark Friedl Boston University 01/15/2018
Prototyping an Oil Palm Plantation MuSLI from Landsat and Dual-Wavelength Synthetic Aperture Radar Naiara Pinto NASA/JPL 01/01/2018
A High Spatio-Temporal Resolution Land Surface Temperature (LST) Product for Urban Environments Glynn Hulley Jet Propulsion Laboratory 01/01/2018
Multi-Source Imaging of Time-Serial Tree and Water Cover at Continental to Global Scales John Townshend University of Maryland, College Park 07/01/2015
Towards Near Daily Monitoring of Inundated Areas Over North America Through Multi-Source Fusion of Optical and Radar Data Chengquan Huang University of Maryland 07/01/2015
Multi-Source Imaging of Infrastructure and Urban Growth Using Landsat, Sentinel and SRTM Christopher Small Columbia University 07/01/2015
Integrating Landsat 7, 8 and Sentinel 2 Data in Improving Crop Type Identification and Area E stimation Matthew Hansen University of Maryland, College Park 07/01/2015
Prototyping a Landsat-8 Sentinel-2 Global Burned Area Product David Roy Michigan State University 07/01/2015
Operational Algorithms and Products for Near Real Time Maps of Rice Extent and Rice Crop Growth Stage Using Multi - Source Remote Sensing William Salas Applied Geosolutions, LLC 07/01/2015
Multisource Imaging of Seasonal Dynamics in Land Surface Phenology: A Fusion Approach Using Landsat and Sentinel - 2 Mark Friedl Boston University 07/01/2015

Project Presentations

Title Presenter Meeting
Harmonized Landsat/Sentinel-2 (HLS) Update Jeff Masek 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Operational algorithms and products for near real time maps of rice extent and rice crop growth stage using multi-source remote sensing Nathan Torbick 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Multisource Imaging of Seasonal Dynamics in Land Surface Phenology Mark Friedl 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Towards Near Daily Monitoring of Inundated Areas over North America through Multi-Source Fusion of Optical and Radar Data Chengquan Huang 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Atmospheric correction update and ACIX status Eric Vermote 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Sentinel 2 data accessibility and archive for US MuSLI investigators John Dwyer 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Prototyping a Landsat-8 Sentinel-2 global burned area product David Roy 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Multi-source imaging of time-series tree and water cover at continental to global scales Joe Sexton 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Multi-source imaging of infrastructure and urban growth using Landsat, Sentinel and SRTM Chris Small 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Current Achievements of ESA CCI Land Cover and Sentinel-2 for Agriculture projects Francois Waldner 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)
Integrating Landsat 7, 8 and Sentinel 2 data in improving crop type identification and area estimation Xiaopeng Song 2017 LCLUC Spring Science Team Meeting (Apr. 12th - 13th) and MuSLI Meeting (April 14th)