John W. Jones
Through my research, I pursue two over-riding goals: (1) increased understanding of relationships among land surface dynamics, hydrologic, and biologic processes; and (2) the provision of resource management relevant information to decision-makers. To meet these goals, research is focused on developing new methods to measure and monitor biophysical characteristics of various land covers.
John has been developing and applying geospatial technologies to improve process understanding and resource management for nearly four decades. His current emphasis is on the development and application of methods and products to monitor inland surface water dynamics from local through global scales. He is particularly interested in the fusion of data collected by various sensors to provide the highest quality time-series data possible. Collaboration across disciplines and institutions improves the quality of his work. Before joining the USGS, John worked as a geospatial technology applications specialist in state government and private industry. Since joining the USGS, John has engaged in research, strategic planning, training, mentoring, and outreach. Specific research endeavors have included: snow cover mapping; incorporating remote sensing and landscape ecology in Everglades restoration science; wetland bathymetry modeling; evaluating the role of vegetation in hydrology (e.g., spatial and temporal variations in evapotranspiration; precipitation interception and resistance to surface water flow); land surface phenology; impervious surface data accuracy assessment; mapping irrigated lands and estimating agricultural water use; land surface inundation/depth dynamics - especially in wetlands; remote sensing of river discharge; and hazard mitigation.
Science and Products
Development of a Surface Water Index of Permanence (SWIPe) Database to Assess Surface Water Availability for Ecohydrological Refugia
SERAP: Modeling of Global and Land Use Change Impacts
SERAP: Modeling of Hydrologic Systems
Malheur National Wildlife Refuge Watershed Synthesis: an Excel-based model for irrigation months in 2021–2024
A spreadsheet-based model (using Microsoft Excel) was developed to assess the amounts and types of habitats within the Malheur National Wildlife Refuge in southeastern Oregon, USA. The Refuge provides critical bird habitat, and the model was designed to quantify the areas of open water, partial water, and water depths during the irrigation season (April–July) from 2021–2024. This data release incl
Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S.
Tracking disturbance and inundation to identify wetland loss
Modified Land Cover Raster for the Upper Oconee Watershed
Big Cypress-Pine Island, Florida
Northern Everglades, Florida, satellite image map
South Florida Everglades: satellite image map
Opera Dynamic Surface Water extents for Harmonized Landsat Sentinel-2 (DSWX-HLS) validation activities
Development of a Surface-Water Index of Permanence to assess surface-water availability for ecohydrological refugia
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
Large increases in methane emissions expected from North America’s largest wetland complex
Product specification document for dynamic surface water extent from Harmonized Landsat and Sentinel-2
OPERA Product Description Document
Demography of the Oregon spotted frog along a hydrologically modified river
Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, U.S.
Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging
Improved automated detection of subpixel-scale inundation – Revised Dynamic Surface Water Extent (DSWE) partial surface water tests
Satellite remote sensing estimation of river discharge: Application to the Yukon River Alaska
Automated extraction of surface water extent from Sentinel-1 data
Science and Products
Development of a Surface Water Index of Permanence (SWIPe) Database to Assess Surface Water Availability for Ecohydrological Refugia
SERAP: Modeling of Global and Land Use Change Impacts
SERAP: Modeling of Hydrologic Systems
Malheur National Wildlife Refuge Watershed Synthesis: an Excel-based model for irrigation months in 2021–2024
A spreadsheet-based model (using Microsoft Excel) was developed to assess the amounts and types of habitats within the Malheur National Wildlife Refuge in southeastern Oregon, USA. The Refuge provides critical bird habitat, and the model was designed to quantify the areas of open water, partial water, and water depths during the irrigation season (April–July) from 2021–2024. This data release incl