{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:48:22Z","timestamp":1769849302237,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T00:00:00Z","timestamp":1605830400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Australian Black Summer wildfires between September 2019 and January 2020 burnt many parts of eastern Australia including major forests within the Sydney drinking water catchment (SDWC) area, almost 16.000 km2. There was great concern on post-fire erosion and water quality hazards to Sydney\u2019s drinking water supply, especially after the heavy rainfall events in February 2020. We developed a rapid and innovative approach to estimate post-fire hillslope erosion using weather radar, remote sensing, Google Earth Engine (GEE), Geographical Information Systems (GIS), and the Revised Universal Soil Loss Equation (RUSLE). The event-based rainfall erosivity was estimated from radar-derived rainfall accumulations for all storm events after the wildfires. Satellite data including Sentinel-2, Landsat-8, and Moderate Resolution Imaging Spectroradiometer (MODIS) were used to estimate the fractional vegetation covers and the RUSLE cover-management factor. The study reveals that the average post-fire erosion rate over SDWC in February 2020 was 4.9 Mg ha\u22121 month\u22121, about 30 times higher than the pre-fire erosion and 10 times higher than the average erosion rate at the same period because of the intense storm events and rainfall erosivity with a return period over 40 years. The high post-fire erosion risk areas (up to 23.8 Mg ha\u22121 month\u22121) were at sub-catchments near Warragamba Dam which forms Lake Burragorang and supplies drinking water to more than four million people in Sydney. These findings assist in the timely assessment of post-fire erosion and water quality risks and help develop cost-effective fire incident management and mitigation actions for such an area with both significant ecological and drinking water assets. The methodology developed from this study is potentially applicable elsewhere for similar studies as the input datasets (satellite and radar data) and computing platforms (GEE, GIS) are available and accessible worldwide.<\/jats:p>","DOI":"10.3390\/rs12223805","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T09:46:18Z","timestamp":1605865578000},"page":"3805","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Rapid Assessment of Hillslope Erosion Risk after the 2019\u20132020 Wildfires and Storm Events in Sydney Drinking Water Catchment"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5990-2186","authenticated-orcid":false,"given":"Xihua","family":"Yang","sequence":"first","affiliation":[{"name":"New South Wales Department of Planning, Industry and Environment, Parramatta, NSW 2150, Australia"},{"name":"School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW 2007, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5431-9274","authenticated-orcid":false,"given":"Mingxi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway, NSW 2007, Australia"}]},{"given":"Lorena","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Water New South Wales, Parramatta, NSW 2150, Australia"}]},{"given":"Quinn R.","family":"Ollivier","sequence":"additional","affiliation":[{"name":"Water New South Wales, Parramatta, NSW 2150, Australia"}]},{"given":"Shane","family":"Faulkner","sequence":"additional","affiliation":[{"name":"Water New South Wales, Parramatta, NSW 2150, Australia"}]},{"given":"Adam","family":"Roff","sequence":"additional","affiliation":[{"name":"New South Wales Department of Planning, Industry and Environment, Parramatta, NSW 2150, Australia"},{"name":"School of Environmental and Life Sciences, University of Newcastle, Callaghan, NSW 2308, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,20]]},"reference":[{"key":"ref_1","unstructured":"(2020, September 23). Bureau of Meteorology (BoM) Drought Knowledge Centre, Available online: http:\/\/www.bom.gov.au\/climate\/drought\/knowledge-centre."},{"key":"ref_2","unstructured":"New South Wales Rural Fire Service (2020, August 12). \u201cUnprecedented Season Breaks All Records\u201d (PDF). Bush Fire Bulletin. Sydney: NSW Rural Fire Service 42 (1), Available online: https:\/\/www.rfs.nsw.gov.au\/__data\/assets\/pdf_file\/0007\/174823\/Bush-Fire-Bulletin-Vol-42-No1.pdf."},{"key":"ref_3","unstructured":"New South Wales Rural Fire Service (2020, September 23). Bush Fire Danger Period and Fire Permits, Available online: https:\/\/www.rfs.nsw.gov.au\/fire-information\/BFDP."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41558-020-0716-1","article-title":"Unprecedented burn area of Australian mega forest fires. The article","volume":"10","author":"Boer","year":"2020","journal-title":"Nat. Clim. Change"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1071\/WF18011","article-title":"Near real-time monitoring of post-fire erosion after storm events: A case study in Warrumbungle National Park, Australia","volume":"27","author":"Yang","year":"2018","journal-title":"Int. J. Wildland Fire"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1002\/ldr.3146","article-title":"Estimation of Estimation of event-based rainfall erosivity from radar after wildfire","volume":"30","author":"Zhu","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"104361","DOI":"10.1016\/j.catena.2019.104361","article-title":"State and trends of hillslope erosion across New South Wales, Australia","volume":"186","author":"Yang","year":"2020","journal-title":"Catena"},{"key":"ref_8","unstructured":"Wischmeier, W.H., and Smith, D.D. (1978). Predicting rainfall erosion losses, a guide to conservation planning. Agricultural Handbook, US Department of Agriculture."},{"key":"ref_9","first-page":"1","article-title":"Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)","volume":"Volume 703","author":"Renard","year":"1997","journal-title":"Agricultural Handbook"},{"key":"ref_10","unstructured":"Flanagan, D.C., and Nearing, M.A. (1995). USDA Water Erosion Prediction Project: Hillslope Profile and Watershed Model Documentation, USDA-ARS National Soil Erosion Research Laboratory. NSERL Report number 10."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1071\/SR02157","article-title":"Predicting sheetwash and rill erosion over the Australian continent","volume":"41","author":"Lu","year":"2003","journal-title":"Aust. J. Soil Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.envsoft.2015.11.024","article-title":"Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia","volume":"77","author":"Teng","year":"2016","journal-title":"Environ. Model. Softw."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1412","DOI":"10.1111\/gcb.12449","article-title":"Divergent responses of fire to recent warming and drying across south-eastern Australia","volume":"20","author":"Bradstock","year":"2014","journal-title":"Glob. Change Biol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3432","DOI":"10.1002\/hyp.9857","article-title":"Infiltration and runoff generation processes in fire-affected soils","volume":"28","author":"Moody","year":"2013","journal-title":"Hydrol. Proc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.geomorph.2015.08.023","article-title":"Predicting sediment delivery from debris flows after wildfire","volume":"250","author":"Nyman","year":"2015","journal-title":"Geomorphology"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4113","DOI":"10.5194\/hess-19-4113-2015","article-title":"Rainfall erosivity estimation based on rainfall data collected over a range of temporal resolutions","volume":"19","author":"Yin","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/S0341-8162(00)00158-2","article-title":"Modeling of event-based hillslope erosion in Costa Rica, Nicaragua and Mexico: Evaluation of the EUROSEM model","volume":"44","author":"Veihe","year":"2001","journal-title":"Catena"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.catena.2017.10.015","article-title":"Development of web-based WERM-S module for estimating spatially distributed rainfall erosivity index (EI30) using RADAR rainfall data","volume":"161","author":"Risal","year":"2018","journal-title":"Catena"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.geomorph.2018.06.019","article-title":"An event-based model of soil erosion and sediment transport at the catchment scale","volume":"318","author":"Dymond","year":"2018","journal-title":"Geomorphology"},{"key":"ref_20","unstructured":"(2020, November 14). Bureau of Meteorology (BoM) Maps and Gridded Spatial Data, Available online: http:\/\/www.bom.gov.au\/climate\/data-services\/maps.shtml."},{"key":"ref_21","unstructured":"(2020, November 14). Bureau of Meteorology (BoM) Average Annual, Seasonal and Monthly Rainfall, Available online: http:\/\/www.bom.gov.au\/jsp\/ncc\/climate_averages\/rainfall."},{"key":"ref_22","unstructured":"(2020, November 14). Department of Planning, Industry and Environment (DPIE) Dataset NSW Landuse 2017, Available online: https:\/\/datasets.seed.nsw.gov.au\/dataset\/nsw-landuse-2017."},{"key":"ref_23","unstructured":"(2020, August 26). New South Wales Fire Extent and Severity Mapping (FESM), Available online: https:\/\/datasets.seed.nsw.gov.au\/dataset\/fire-extent-and-severity-mapping-fesm."},{"key":"ref_24","unstructured":"(2020, November 14). Google Developers Earth Engine Data Catalog. Available online: https:\/\/developers.google.com\/earth-engine\/datasets\/catalog\/."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.rse.2015.01.021","article-title":"Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data","volume":"161","author":"Guerschman","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1080\/2150704X.2018.1465611","article-title":"Calibration and validation of the Australian fractional cover product for MODIS collection 6","volume":"9","author":"Guerschman","year":"2018","journal-title":"Remote Sens. Lett."},{"key":"ref_27","unstructured":"(2020, November 14). CSIRO Fractional Cover Datasets. Available online: https:\/\/eo-data.csiro.au\/remotesensing\/v310\/australia\/monthly\/cover\/."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3277","DOI":"10.1002\/hyp.5659","article-title":"Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty","volume":"18","author":"Hossain","year":"2004","journal-title":"Hydrol. Proc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1071\/WF14071","article-title":"Risk assessment of post-wildfire hydrological response in semiarid basins: The effects of varying rainfall representations in the KINEROS2\/AGWA model","volume":"25","author":"Sidman","year":"2016","journal-title":"Int. J. Wildland Fire"},{"key":"ref_30","unstructured":"(2020, April 03). Bureau of Meteorology (BoM) Rainfields Rainfall Estimates and Forecasts, Available online: http:\/\/www.bom.gov.au\/australia\/radar\/about\/using_rainfall_accumulations.shtml."},{"key":"ref_31","unstructured":"(2020, November 14). Geoscience Australia Digital Elevation Model (DEM) of Australia Derived from LiDAR 5 Metre Grid, Available online: https:\/\/ecat.ga.gov.au\/geonetwork\/srv\/eng\/catalog.search#\/metadata\/89644."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1071\/SR13297","article-title":"Deriving RUSLE cover factor from time-series fractional vegetation cover for soil erosion risk monitoring in New South Wales","volume":"52","author":"Yang","year":"2014","journal-title":"Soil Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1071\/SR14208","article-title":"Digital mapping of RUSLE slope length and steepness factor across New South Wales","volume":"53","author":"Yang","year":"2015","journal-title":"Soil Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1071\/SR14188","article-title":"Modeling and mapping rainfall erosivity in New South Wales, Australia","volume":"53","author":"Yang","year":"2015","journal-title":"Soil Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1071\/SR17058","article-title":"Digital mapping of soil erodibility for water erosion in New South Wales, Australia","volume":"56","author":"Yang","year":"2017","journal-title":"Soil Res."},{"key":"ref_36","unstructured":"(2020, August 26). GEEBAM Google Earth Engine Burnt Area Map (GEEBAM), Available online: https:\/\/datasets.seed.nsw.gov.au\/dataset\/google-earth-engine-burnt-area-map-geebam."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1029\/2002EO000411","article-title":"RANGES improves satellite based information and land cover assessments in Southwest United States","volume":"83","author":"Qi","year":"2002","journal-title":"Eos Trans. Am. Geophys. Union"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Yang, X., Zhang, X.P., Lv, D., Yin, S.Q., Zhang, M.X., Zhu, Q.G.Z., Yu, Q., and Liu, B.Y. (2020). Remote sensing estimation of the soil erosion cover-management factor over China\u2019s Loess Plateau. Land Degrad. Dev., 1\u201314.","DOI":"10.1002\/ldr.3577"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values, Springer.","DOI":"10.1007\/978-1-4471-3675-0"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1071\/WF05051","article-title":"Remote sensing of fire severity in the Blue Mountains: Influence of vegetation type and inferring fire intensity","volume":"15","author":"Hammill","year":"2006","journal-title":"Int. J. Wildland Fire"},{"key":"ref_41","first-page":"279","article-title":"Evaluation of the erosive potential of rain for the State of Paran\u00e1: Second approximation","volume":"10","author":"Rufino","year":"1986","journal-title":"R. Bras. Ci. Solo"},{"key":"ref_42","unstructured":"Wallbrink, P., English, P., Chafer, C., Humphreys, G., Shakesby, R., Blake, B., and Doerr, S. (2004). Impacts on water quality by sediments and nutrients released during extreme wildfires. CSIRO Land and Water Client Report, CSIRO Land and Water."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"3051","DOI":"10.1016\/j.watres.2004.04.009","article-title":"The effect of a wildfire on stream water quality and catchment water yield in a tropical savanna excluded from fire for 10 years (Kakadu National Park, North Australia)","volume":"38","author":"Townsend","year":"2004","journal-title":"Water Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1071\/WF11160","article-title":"Surface runoff and erosion after prescribed burning and the effect of different fire regimes in forests and shrublands: A review","volume":"21","author":"Cawson","year":"2012","journal-title":"Int. J. Wildland Fire"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.foreco.2006.10.029","article-title":"Distinctiveness of wildfire effects on soil erosion in south-east Australian eucalypt forests assessed in a global context","volume":"238","author":"Shakesby","year":"2007","journal-title":"For. Ecol. Manag."},{"key":"ref_46","first-page":"S209","article-title":"Impacts of a wildfire on soil organic carbon in Warrumbungle National Park, Australia","volume":"141","author":"Tulau","year":"2020","journal-title":"Proc. Linn. Soc. N. S. W."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2947","DOI":"10.3390\/f5122947","article-title":"Effects of a wildfire on selected physical, chemical and biochemical soil properties in a Pinus massoniana forest in South China","volume":"5","author":"Li","year":"2014","journal-title":"Forests"},{"key":"ref_48","unstructured":"eWater Australia (2020, September 23). eWater Source\u2014Australia\u2019s National Hydrological Modeling Platform. Available online: https:\/\/ewater.org.au\/products\/ewater-source."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3805\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:34:52Z","timestamp":1760178892000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3805"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,20]]},"references-count":48,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["rs12223805"],"URL":"https:\/\/doi.org\/10.3390\/rs12223805","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,20]]}}}