Md Shahriar Pervez, PhD
Md Shahriar Pervez is a Geographer specializes in flood monitoring and early warning with the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center. He is also an adjunct faculty at South Dakota State University, Brookings, South Dakota.
Dr. Pervez, with background in geospatial sciences and engineering, hydrology, and remote sensing, conducts applied research on flood monitoring, forecasting, predictive mapping of inundation, and early warning systems with food security implications using satellite-derived data and hydrologic modeling. He has taught courses on remote sensing applications in water resources and land surface hydrology modeling.
Research topics include:
1) Flood monitoring, modeling, and predictive mapping of flood inundation using satellite-derived data and hydrologic models for providing actionable information in mitigating food security implications.
2) Reservoir water level and storage, snow hydrology, streamflow modeling, and return period assessments for flood early warning systems.
3) Societal and environmental impacts of Flooding and resilience.
Professional Experience
Geographer, United States Geological Survey, Oct 2023 - present
Scientist, AFDS, ASRC Federal InuTeq, SGT, and SAIC, Jul 2005 - Oct 2023
Graduate Research Assistant, University of North Dakota, Aug 2003 - Jul 2005
Research Officer, International Water Management Institute, Aug 2001 - Aug 2003
GIS/Remote Sensing Specialist, Institute of Water Modeling, Nov 1997 - Aug 2001
Education and Certifications
Ph.D. in Geospatial Sciences and Engineering from South Dakota State University
MSc in Geography from University of North Dakota
BSc in Urban and Rural Planning from Khulna University, Bangladesh
Honors and Awards
USGS STAR Award: 2024
SGT STAR Award: 2014
Science and Products
Mapping irrigated lands at 250-m scale by merging MODIS data and National Agricultural Statistics Mapping irrigated lands at 250-m scale by merging MODIS data and National Agricultural Statistics
Mapping irrigated lands across the United States using MODIS satellite imagery Mapping irrigated lands across the United States using MODIS satellite imagery
Users Manual for the Geospatial Stream Flow Model (GeoSFM) Users Manual for the Geospatial Stream Flow Model (GeoSFM)
Technical Manual for the Geospatial Stream Flow Model (GeoSFM) Technical Manual for the Geospatial Stream Flow Model (GeoSFM)
A linear geospatial streamflow modeling system for data sparse environments A linear geospatial streamflow modeling system for data sparse environments
Assessment of 2006 and 2007 drought patterns in the vegetation drought response index across Nebraska Assessment of 2006 and 2007 drought patterns in the vegetation drought response index across Nebraska
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Mapping irrigated lands at 250-m scale by merging MODIS data and National Agricultural Statistics Mapping irrigated lands at 250-m scale by merging MODIS data and National Agricultural Statistics
Mapping irrigated lands across the United States using MODIS satellite imagery Mapping irrigated lands across the United States using MODIS satellite imagery
Users Manual for the Geospatial Stream Flow Model (GeoSFM) Users Manual for the Geospatial Stream Flow Model (GeoSFM)
Technical Manual for the Geospatial Stream Flow Model (GeoSFM) Technical Manual for the Geospatial Stream Flow Model (GeoSFM)
A linear geospatial streamflow modeling system for data sparse environments A linear geospatial streamflow modeling system for data sparse environments
Assessment of 2006 and 2007 drought patterns in the vegetation drought response index across Nebraska Assessment of 2006 and 2007 drought patterns in the vegetation drought response index across Nebraska
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.