Team Members:
Person Name | Person role on project | Affiliation |
---|---|---|
Saurav Kumar | Principal Investigator | Arizona State University, Tempe, United States |
Maria del Rosario Sanchez | Co-Investigator | Texas A&M AgriLife Research, Bulverde, United States |
Rocky Talchabhadel | Co-Investigator | Jackson State University , Jackson , USA |
Beth Racine | Co-Investigator | Texas A&M , El Paso , USA |
Marisol Dominguez | Postdoc Researcher | Texas A&M , El Paso , USA |
Raquel Neri | Graduate Student Researcher | Arizona State University School of Sustainable , Tempe , USA |
Saman Ebrahimi | Graduate Student Researcher | Arizona State University School of Sustainable, Tempe , USA |
Shanfer Majeed | Graduate Student Researcher | Arizona State University, Tempe , USA |
Sunil Bista | Graduate Student Researcher | Jackson State University , Jackson , USA |
Our primary goals are to develop an Earth Observations to Decision-Making (EO2DM) framework for assessing the drivers of LCLUC and to apply the framework to develop climate change mitigation strategies for the transboundary Rio Grande/ RĂo Bravo basin (RGB) transboundary region. The fundamental research involves integrating remote sensing, water system models, and stakeholder power dynamics in developing culturally-aware regional sustainability plans for arid and semi-arid regions. In pursuit of the outlined goals, we have identified the following research objectives: a) the development of scalable methods to understand LCLUC throughout the regional watershed study area, including the US and Mexico, by fusing multiple data sources and developing new models; b) development of data-driven Bayesian Network (BN) based models that integrate LCLUC observations, water modeling results, policy initiatives, regulations and governance, socio-economic factors, stakeholders’ knowledge, and climate scenarios to help us understand the linkages between various systems; c) explore the BN model to identify policy-relevant interventions that can provide maximum leverage to achieve the desired LCLUC; and d) develop future scenarios based on modeled LCLUC to assess the climate vulnerability of the region.