The Impact of Investment on Irrigated Rice, Dryland Agriculture and Afforestation in Senegal using SAR and Optical Time-Series Imagery in Data Fusion Approaches
Margaret Wooten, NASA GSFC / SSAI, margaret.wooten@nasa.gov (Presenter)
Christopher Neigh, NASA GSFC, christopher.s.neigh@nasa.gov
Jordan Alexis Caraballo-Vega, NASA GSFC, jordan.a.caraballo-vega@nasa.gov
Konrad Johan Wessels, George Mason University, kwessel4@gmu.edu
Mark Carroll, NASA GSFC, mark.carroll@nasa.gov
Min Tri Le, George Mason University, mle35@masonlive.gmu.edu
Nathan Marc Thomas, NASA GSFC / ESSIC UMD, nathan.m.thomas@nasa.gov
Akiko Elders, NASA GSFC / MSU, akiko.elders@nasa.gov
Molly Elizabeth Brown, University of Maryland, mbrown52@umd.edu
William Wagner, NASA GSFC / SSAI, william.c.wagner@nasa.gov
Woubet Alemu, NASA GSFC / Oak Ridge, woubet.g.alemu@nasa.gov
Caleb Spradlin, NASA GSFC / InuTeq, caleb.s.spradlin@nasa.gov
Pete Bunting, Aberystwyth University, pfb@aber.ac.uk
Gray Tappan, USGS, tappan@usgs.gov
Renaud Mathieu, International Rice Research Institute, mathieurn@aim.com
Paul Montesano, NASA GSFC / ADNET, paul.m.montesano@nasa.gov
Over the past 30 years, West Africa's population has more than doubled; growing 2.7% annually and by 2030, 490 million people are expected to live in the region, placing additional demands on natural resources in the agricultural and forestry sectors. The West African Sahel and Sudanian region is an epicenter of land cover change hotspots which have not been sufficiently documented, due to the inability of multi-temporal moderate resolution observations to adequately resolve widespread sub-hectare changes. Documenting the complex transformation of land cover in WA has been of interest to the remote sensing and policy communities for decades, yet understanding underlying drivers has remained elusive due to a lack of adequate fine-scale observations from space. Widespread reforestation in dryland agriculture regions, expansion of irrigated rice cultivation, dryland agriculture extensification and clearing of natural savanna have been reported, but are poorly mapped and quantified.
We contend multi-source land imaging using very-high resolution imagery (VHR), a time series of multi-spectral and SAR data, as well as High-End Computing (HEC), our Team can significantly improve policy-relevant land cover change information in WA. We will inform policy and investment initiatives by quantifying land cover changes due to agricultural extensification of irrigated rice and dryland cultivation, and afforestation or tree cover loss, using VHR imagery, plus a combination of medium resolution optical and SAR time series.
Associated Project(s):
Poster Location ID: 1-4
Presentation Type: Poster
Session: Poster Session 1
Session Date: Tue (May 9) 5:00-7:00 PM
CCE Program: LCLUC