{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:45:51Z","timestamp":1775069151067,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T00:00:00Z","timestamp":1661472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"NASA Commercial Satellite Program","doi-asserted-by":"publisher","award":["80NSSC21K1154"],"award-info":[{"award-number":["80NSSC21K1154"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Flash flooding affects a growing number of people and causes billions of dollars in losses each year with the impact often falling disproportionally on underdeveloped regions. To inform post-flood mitigation efforts, it is crucial to determine flash flooding extents, especially for extreme events. Unfortunately, flood hazard mapping has often been limited by a lack of observations with both high spatial and temporal resolution. The CubeSat constellation operated by Planet Labs can fill this key gap in Earth observations by providing 3 m near-daily multispectral imagery at the global scale. In this study, we demonstrate the imaging capabilities of CubeSats for mapping flash flood hazards in arid regions. We selected a severe storm on 13\u201314 August 2021 that swept through the town of Gila Bend, Arizona, causing severe flood damages, two deaths, and the Declaration of a State of Emergency. We found the spatial extent of flooding can be mapped from CubeSat imagery through comparisons of the near-infrared surface reflectance prior to and after the flash flood event (\u0394NIR). The unprecedented spatiotemporal resolution of CubeSat imagery allowed the detection of ponded (\u0394NIR \u2264 \u22120.05) and flood-affected (\u0394NIR \u2265 +0.02) areas that compared remarkably well with the 100-year flood event extent obtained by an independent hydraulic modeling study. Our findings demonstrate that CubeSat imagery provides valuable spatial details on flood hazards and can support post-flood activities such as damage assessments and emergency relief.<\/jats:p>","DOI":"10.3390\/rs14174218","type":"journal-article","created":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T01:37:55Z","timestamp":1661823475000},"page":"4218","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Mapping Flash Flood Hazards in Arid Regions Using CubeSats"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8154-9630","authenticated-orcid":false,"given":"Zhaocheng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2659-9459","authenticated-orcid":false,"given":"Enrique R.","family":"Vivoni","sequence":"additional","affiliation":[{"name":"School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,26]]},"reference":[{"key":"ref_1","unstructured":"(2022, July 21). Weather Related Fatality and Injury Statistics, Available online: https:\/\/www.weather.gov\/hazstat\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1038\/nclimate2941","article-title":"More Extreme Precipitation in the World\u2019s Dry and Wet Regions","volume":"6","author":"Donat","year":"2016","journal-title":"Nat. Clim. Change"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4901","DOI":"10.1029\/2018WR024067","article-title":"Global and Regional Increase of Precipitation Extremes Under Global Warming","volume":"55","author":"Papalexiou","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/s41586-021-03695-w","article-title":"Satellite Imaging Reveals Increased Proportion of Population Exposed to Floods","volume":"596","author":"Tellman","year":"2021","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/23789689.2017.1416846","article-title":"Toward Adaptive Infrastructure: Flexibility and Agility in a Non-Stationarity Age","volume":"4","author":"Chester","year":"2019","journal-title":"Sustain. Resilient Infrastruct."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1038\/s41558-020-0741-0","article-title":"Keeping Infrastructure Reliable under Climate Uncertainty","volume":"10","author":"Chester","year":"2020","journal-title":"Nat. Clim. Change"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1073\/pnas.1620081114","article-title":"Urban Resilience Efforts Must Consider Social and Political Forces","volume":"114","author":"Eakin","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Tellman, B., Schank, C., Schwarz, B., Howe, P.D., and de Sherbinin, A. (2020). Using Disaster Outcomes to Validate Components of Social Vulnerability to Floods: Flood Deaths and Property Damage across the USA. Sustainability, 12.","DOI":"10.31235\/osf.io\/byrgu"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e2021GL093585","DOI":"10.1029\/2021GL093585","article-title":"Breaking Down the Computational Barriers to Real-Time Urban Flood Forecasting","volume":"48","author":"Ivanov","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1175\/JAM2506.1","article-title":"Error Propagation of Radar Rainfall Nowcasting Fields through a Fully Distributed Flood Forecasting Model","volume":"46","author":"Vivoni","year":"2007","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1175\/JHM514.1","article-title":"Extending the Predictability of Hydrometeorological Flood Events Using Radar Rainfall Nowcasting","volume":"7","author":"Vivoni","year":"2006","journal-title":"J. Hydrometeorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.envsoft.2013.08.009","article-title":"Towards an Integrated Flood Information System: Centralized Data Access, Analysis, and Visualization","volume":"50","author":"Demir","year":"2013","journal-title":"Environ. Model. Softw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"W05619","DOI":"10.1029\/2007WR005940","article-title":"Understanding Uncertainty in Distributed Flash Flood Forecasting for Semiarid Regions","volume":"44","author":"Yatheendradas","year":"2008","journal-title":"Water Resour. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"10218","DOI":"10.1029\/2019WR025480","article-title":"The Paroxysmal Precipitation of the Desert: Flash Floods in the Southwestern U.S","volume":"55","author":"Smith","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2600","DOI":"10.1175\/1520-0442(1997)010<2600:IOTNAM>2.0.CO;2","article-title":"Influence of the North American Monsoon System on the U.S. Summer Precipitation Regime","volume":"10","author":"Higgins","year":"1997","journal-title":"J. Clim."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1175\/1520-0442(1999)012<0653:IVOTNA>2.0.CO;2","article-title":"Interannual Variability of the North American Warm Season Precipitation Regime","volume":"12","author":"Higgins","year":"1999","journal-title":"J. Clim."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.jhydrol.2005.04.021","article-title":"Hydroclimatology of the North American Monsoon Region in Northwest Mexico","volume":"316","author":"Gochis","year":"2006","journal-title":"J. Hydrol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1175\/JHM-D-19-0016.1","article-title":"Flash Flooding in Arid\/Semiarid Regions: Climatological Analyses of Flood-Producing Storms in Central Arizona during the North American Monsoon","volume":"20","author":"Yang","year":"2019","journal-title":"J. Hydrometeorol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"W07419","DOI":"10.1029\/2008WR007380","article-title":"Spatial Distribution and Frequency of Precipitation during an Extreme Event: July 2006 Mesoscale Convective Complexes and Floods in Southeastern Arizona","volume":"45","author":"Griffiths","year":"2009","journal-title":"Water Resour. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1029\/2007EO170003","article-title":"Impact of Recent Extreme Arizona Storms","volume":"88","author":"Magirl","year":"2007","journal-title":"Eos Trans. Am. Geophys. Union"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.jhydrol.2018.02.011","article-title":"On the Distributions of Annual and Seasonal Daily Rainfall Extremes in Central Arizona and Their Spatial Variability","volume":"559","author":"Mascaro","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"W03404","DOI":"10.1029\/2005WR004036","article-title":"Analysis of a Monsoon Flood Event in an Ephemeral Tributary and Its Downstream Hydrologic Effects","volume":"42","author":"Vivoni","year":"2006","journal-title":"Water Resour. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1016\/j.advwatres.2005.07.014","article-title":"Spatial Patterns in Thunderstorm Rainfall Events and Their Coupling with Watershed Hydrological Response","volume":"29","author":"Morin","year":"2006","journal-title":"Adv. Water Resour."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"9436","DOI":"10.1029\/2019WR025835","article-title":"Urbanization in Arid Central Arizona Watersheds Results in Decreased Stream Flashiness","volume":"55","author":"McPhillips","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"5918","DOI":"10.1029\/2019GL083363","article-title":"Urban Impacts on Extreme Monsoon Rainfall and Flooding in Complex Terrain","volume":"46","author":"Yang","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"105124","DOI":"10.1016\/j.envsoft.2021.105124","article-title":"Opportunities for Crowdsourcing in Urban Flood Monitoring","volume":"143","author":"Helmrich","year":"2021","journal-title":"Environ. Model. Softw."},{"key":"ref_27","unstructured":"Morrison, R.B., and Cooley, M.E. (1973). Assessment of flood damage in Arizona by means of ERTS-1 imagery. NASA. Goddard Space Flight Center Symp. on Significant Results Obtained from the ERTS-1, Vol. 1, Sect. A and B, NASA. No. PAPER-W6."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1029\/WR010i003p00473","article-title":"Regional Flood Mapping from Space","volume":"10","author":"Rango","year":"1974","journal-title":"Water Resour. Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2002","DOI":"10.1029\/2006RG000197","article-title":"Measuring Surface Water from Space","volume":"45","author":"Alsdorf","year":"2007","journal-title":"Rev. Geophys."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"e2022GL098729","DOI":"10.1029\/2022GL098729","article-title":"Detecting Streamflow in Dryland Rivers Using CubeSats","volume":"49","author":"Wang","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2951","DOI":"10.1029\/97WR01422","article-title":"Linearity of Basin Response as a Function of Scale in a Semiarid Watershed","volume":"33","author":"Goodrich","year":"1997","journal-title":"Water Resour. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"112586","DOI":"10.1016\/j.rse.2021.112586","article-title":"A Global Analysis of the Temporal Availability of PlanetScope High Spatial Resolution Multi-Spectral Imagery","volume":"264","author":"Roy","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Frazier, A.E., and Hemingway, B.L. (2021). A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery. Remote Sens., 13.","DOI":"10.3390\/rs13193930"},{"key":"ref_34","unstructured":"Planet Team (2017). Planet Application Program Interface. Space for Life on Earth, Planet Team. Available online: https:\/\/api.planet.com."},{"key":"ref_35","unstructured":"(2022, July 23). 2021 Monsoon Review, Available online: https:\/\/www.weather.gov\/psr\/2021MonsoonReview."},{"key":"ref_36","unstructured":"Flood Control District of Maricopa County (2022, July 23). Storm Report: August 12\u201314, 2021, Available online: https:\/\/alert.fcd.maricopa.gov\/alert\/WY21\/StormRpt_08_12-14_2021.pdf."},{"key":"ref_37","unstructured":"(2022, July 23). County Coordinating Recovery after Flooding in Gila Bend|KJZZ. Available online: https:\/\/kjzz.org\/content\/1708901\/department-emergency-management-coordinating-recovery-efforts-after-flooding-gila."},{"key":"ref_38","unstructured":"(2022, July 31). At Least 2 Dead, 30 Rescued after Severe Flooding in Gila Bend; State of Emergency Declared. Available online: https:\/\/www.fox10phoenix.com\/news\/at-least-2-dead-after-monsoon-flooding-sweeps-through-gila-bend-state-of-emergency-declared."},{"key":"ref_39","unstructured":"(2022, July 30). Office of the Arizona Governor Doug Ducey, Available online: https:\/\/azgovernor.gov\/."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1175\/BAMS-D-14-00174.1","article-title":"Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities","volume":"97","author":"Zhang","year":"2016","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e2020GL090123","DOI":"10.1029\/2020GL090123","article-title":"Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions","volume":"47","author":"Vivoni","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"e2399","DOI":"10.1002\/eco.2399","article-title":"Water Conservation Potential of Modified Turf Grass Irrigation in Urban Parks of Phoenix, Arizona","volume":"15","author":"Kindler","year":"2021","journal-title":"Ecohydrology"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"4233","DOI":"10.5194\/hess-23-4233-2019","article-title":"River-Ice and Water Velocities Using the Planet Optical Cubesat Constellation","volume":"23","author":"Altena","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Cooley, S.W., Smith, L.C., Stepan, L., and Mascaro, J. (2017). Tracking Dynamic Northern Surface Water Changes with High-Frequency Planet CubeSat Imagery. Remote Sens., 9.","DOI":"10.3390\/rs9121306"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1029\/2018GL081584","article-title":"Arctic-Boreal Lake Dynamics Revealed Using CubeSat Imagery","volume":"46","author":"Cooley","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_46","unstructured":"(2021, July 01). Understanding Planet Instruments. Available online: https:\/\/developers.planet.com\/docs\/apis\/data\/sensors\/."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1175\/1520-0434(1995)010<0763:LSPAWS>2.0.CO;2","article-title":"Large-Scale Patterns Associated with Severe Summertime Thunderstorms over Central Arizona","volume":"10","author":"Maddox","year":"1995","journal-title":"Weather Forecast."},{"key":"ref_48","unstructured":"(2022, July 20). NWS Weather Prediction Center WPC Met Watch: #0780 (2021), Available online: https:\/\/www.wpc.ncep.noaa.gov\/metwatch\/metwatch_mpd_multi.php?md=780&yr=2021."},{"key":"ref_49","unstructured":"(2022, July 20). NWS Weather Prediction Center WPC Met Watch: #0781 (2021), Available online: https:\/\/www.wpc.ncep.noaa.gov\/metwatch\/metwatch_mpd_multi.php?md=781&yr=2021."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1890\/140163","article-title":"Connectivity in Dryland Landscapes: Shifting Concepts of Spatial Interactions","volume":"13","author":"Okin","year":"2015","journal-title":"Front. Ecol. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"10017","DOI":"10.1002\/2017WR022240","article-title":"CubeSats in Hydrology: Ultrahigh-Resolution Insights into Vegetation Dynamics and Terrestrial Evaporation","volume":"53","author":"McCabe","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jhydrol.2016.03.026","article-title":"An Overview of Current Applications, Challenges, and Future Trends in Distributed Process-Based Models in Hydrology","volume":"537","author":"Fatichi","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"127498","DOI":"10.1016\/j.jhydrol.2022.127498","article-title":"Effects of Stormwater Infrastructure Data Completeness and Model Resolution on Urban Flood Modeling","volume":"607","author":"Shrestha","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1080\/02626667.2021.1980216","article-title":"Propagation of Radar Rainfall Uncertainties into Urban Pluvial Flood Modeling during the North American Monsoon","volume":"66","author":"Hjelmstad","year":"2021","journal-title":"Hydrol. Sci. J."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.ejrh.2018.09.005","article-title":"Flood Hazard Mapping Using FLO-2D and Local Management Strategies of Dire Dawa City, Ethiopia","volume":"19","author":"Erena","year":"2018","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s11069-017-2755-0","article-title":"Rapid Flood Inundation Mapping Using Social Media, Remote Sensing and Topographic Data","volume":"87","author":"Rosser","year":"2017","journal-title":"Nat. Hazards"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3389\/feart.2019.00044","article-title":"A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding","volume":"7","author":"See","year":"2019","journal-title":"Front. Earth Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"304","DOI":"10.3389\/feart.2020.00304","article-title":"Community Mapping Supports Comprehensive Urban Flood Modeling for Flood Risk Management in a Data-Scarce Environment","volume":"8","author":"Petersson","year":"2020","journal-title":"Front. Earth Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"034006","DOI":"10.1088\/1748-9326\/ac4f0f","article-title":"Predicting Flood Damage Probability across the Conterminous United States","volume":"17","author":"Collins","year":"2022","journal-title":"Environ. Res. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e2021EF002418","DOI":"10.1029\/2021EF002418","article-title":"Regional Index Insurance Using Satellite-Based Fractional Flooded Area","volume":"10","author":"Tellman","year":"2022","journal-title":"Earth\u2019s Future"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Lin, L., Di, L., Yu, E.G., Kang, L., Shrestha, R., Rahman, M.S., Tang, J., Deng, M., Sun, Z., and Zhang, C. (2016, January 18\u201320). A Review of Remote Sensing in Flood Assessment. Proceedings of the 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016, Tianjin, China.","DOI":"10.1109\/Agro-Geoinformatics.2016.7577655"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.4319\/lom.2012.10.1037","article-title":"Automated Mapping of Water Bodies Using Landsat Multispectral Data","volume":"10","author":"Verpoorter","year":"2012","journal-title":"Limnol. Oceanogr. Methods"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4218\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:16:13Z","timestamp":1760141773000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,26]]},"references-count":62,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["rs14174218"],"URL":"https:\/\/doi.org\/10.3390\/rs14174218","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,26]]}}}