--- title: River Murray flood extent, 2022 to 2023, South Australia resource: https://publicdata.au/d/sa-river-murray-flood-2022/ publisher: Department for Environment and Water licence: CC BY 4.0 licence_url: https://creativecommons.org/licenses/by/4.0/ version: 2024-03-22 rows: 401 fields: 1 source: https://data.sa.gov.au/data/dataset/f6a4bc32-a489-4f5e-955b-48d11efa8195/resource/e630b4d2-822f-46b5-8d0b-fa2384f269f6/download/murrayflood2022-shp.zip source_sha256: e44526aef8e0abf58dbebe7224048650a79745023a9dc240e41fcaf97b82523f language: en-AU operator: National Digital not_endorsed: true --- # River Murray flood extent, 2022 to 2023, South Australia The mapped extent of land flooded along the River Murray in South Australia during the 2022 to 2023 flood, one polygon per mapped area with the date of the imagery. Published by Department for Environment and Water under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. Department for Environment and Water has not endorsed this site. Also called: River Murray Flood 2022, 2022 2023 Murray River flood map SA, River Murray high water event extent. ## Download Latest version, redirects to `https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/`: - csv: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.csv (4.4 KB) - xlsx: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.xlsx (10 KB) - json: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.json (16 KB) - geojson: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.geojson (40 MB) - parquet: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.parquet (14 MB) - sqlite: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.sqlite (33 KB) - duckdb: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.duckdb (100 KB) - gpkg: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.gpkg (16 MB) - pmtiles: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.pmtiles (195 KB) - ndjson: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.ndjson (15 KB) - arrow: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.arrow (4.2 KB) - csv.gz: https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.csv.gz (127 B) Pinned version 2024-03-22: `https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/data.`. Dated versions never change. ## Query The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Rows: https://publicdata.au/api/v1/datasets/sa-river-murray-flood-2022/rows. Counts and sums: https://publicdata.au/api/v1/datasets/sa-river-murray-flood-2022/aggregate. - Rows: https://publicdata.au/api/v1/datasets/sa-river-murray-flood-2022/rows?limit=5 - Aggregate: https://publicdata.au/api/v1/datasets/sa-river-murray-flood-2022/aggregate?group=acquisition_date&metric=count Each filter is `field=operator.value` in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with `ilike`. Prefix `not.` to negate a filter, as `not.eq.value`. Operators: `eq.value`, `neq.value`, `gt.value`, `gte.value`, `lt.value`, `lte.value`, `like.*text*`, `ilike.*text*`, `in.(a,b,c)`, `is.null`. - `select`: Fields to return, comma-separated. Every field when absent. - `order`: `field.asc` or `field.desc`, comma-separated. The publisher's row order when absent. - `limit`: Rows per page, 1 to 10,000. 100 when absent. - `offset`: Rows to skip. The `next` URL in each answer sets it for you. - `group`: On `aggregate`, fields to group by, comma-separated. - `metric`: On `aggregate`, `count`, `sum.field`, `avg.field`, `min.field` or `max.field`, comma-separated. `count` when absent. - `format`: `json`, `ndjson` or `csv`. JSON carries the provenance header, and the others carry it in response headers. Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put `versions//` before `rows` or `aggregate` for an answer that never changes. `/api/v1/datasets//versions` lists the loaded versions. The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a `Retry-After` header, a `RateLimit-Policy` header and a JSON body that gives the limit. Every API answer carries the same `RateLimit-Policy`. A client should wait the `Retry-After` seconds, or read the files, which have no limit. OpenAPI for this dataset: https://publicdata.au/d/sa-river-murray-flood-2022/openapi.json ## Explore Charts and dashboards in the browser: https://publicdata.au/d/sa-river-murray-flood-2022/explore/. A dashboard can be shared as a link or embedded. ## Fields | field | type | publisher's header | note | |---|---|---|---| | `acquisition_date` | date | ACQ_DATE | | ## Versions - 2024-03-22: 401 rows, 1 fields, sha256 e44526aef8e0. https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/ Machine-readable: https://publicdata.au/d/sa-river-murray-flood-2022/versions.json, https://publicdata.au/d/sa-river-murray-flood-2022/changes.json, https://publicdata.au/d/sa-river-murray-flood-2022/datapackage.json, https://publicdata.au/d/sa-river-murray-flood-2022/schema.json, https://publicdata.au/d/sa-river-murray-flood-2022/history.tar.zst ## Part of River Murray flood mapping, South Australia - [River Murray predicted flood extent at 100 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-100gl/) - [River Murray predicted flood extent at 120 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-120gl/) - [River Murray predicted flood extent at 130 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-130gl/) - [River Murray predicted flood extent at 140 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-140gl/) - [River Murray predicted flood extent at 160 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-160gl/) - [River Murray predicted flood extent at 180 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-180gl/) - [River Murray predicted flood extent at 200 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-200gl/) - [River Murray predicted flood extent at 250 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-250gl/) - [River Murray predicted flood extent at 300 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-300gl/) - [River Murray predicted flood extent at 341 GL a day, South Australia](https://publicdata.au/d/sa-river-murray-flood-341gl/) ## Same subject, other publishers - [Logan and Albert rivers flood extent, April 2017](https://publicdata.au/d/qld-flood-extent-2017-logan-albert/) (Qld) - [Western Queensland flood extent, February 2019](https://publicdata.au/d/qld-flood-extent-2019-western/) (Qld) - [Fitzroy River flood extent, April 2017](https://publicdata.au/d/qld-flood-extent-2017-fitzroy/) (Qld) - [Queensland towns flood extent, January 2011](https://publicdata.au/d/qld-flood-extent-2011-january/) (Qld) - [South west Queensland towns flood extent, 2012](https://publicdata.au/d/qld-flood-extent-2012-south-west/) (Qld) - [Bundaberg flood extent, January 2013](https://publicdata.au/d/qld-flood-extent-2013-bundaberg/) (Qld) - [Queensland towns flood extent, April 2011](https://publicdata.au/d/qld-flood-extent-2011-april/) (Qld) - [Bundaberg flood extent, 2010](https://publicdata.au/d/qld-flood-extent-2010-bundaberg/) (Qld) - [Lakes and rivers water quality samples, ACT](https://publicdata.au/d/act-lakes-rivers-water-quality/) (ACT) - [Recreational lakes and rivers water quality, ACT, 2019-20 season](https://publicdata.au/d/act-recreational-water-quality-2019-20/) (ACT) - [Recreational lakes and rivers water quality, ACT, 2018-19 season](https://publicdata.au/d/act-recreational-water-quality-2018-19/) (ACT) - [Open surface water gauging stations, Queensland](https://publicdata.au/d/qld-surface-water-gauging-stations/) (Qld) ## Attribution and citation Department for Environment and Water, Government of South Australia, River Murray Flood 2022, https://data.sa.gov.au/data/dataset/river-murray-flood-2022, accessed 3 October 2026, licensed under CC BY 4.0. The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used. Plain text: Department for Environment and Water, Government of South Australia, River Murray Flood 2022, https://data.sa.gov.au/data/dataset/river-murray-flood-2022, accessed 3 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/ Harvard: Department for Environment and Water (2024) River Murray flood extent, 2022 to 2023, South Australia, version 2024-03-22 [data set], CC BY 4.0, sourced 3 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/ Markdown: Data: [River Murray flood mapping, South Australia](https://data.sa.gov.au/data/dataset/river-murray-flood-2022), Department for Environment and Water, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/) by [National Digital](https://nationaldigital.com.au/). ## Questions ### How do I download River Murray flood extent, 2022 to 2023 as a CSV file? Open https://publicdata.au/d/sa-river-murray-flood-2022/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, PMTiles, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same. ### Can I open River Murray flood extent, 2022 to 2023 in Excel? Yes. https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/data.xlsx is a workbook with the 401 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/sa-river-murray-flood-2022/v/2024-03-22/data.csv.gz is the CSV at about a tenth of the size. ### What years does River Murray flood extent, 2022 to 2023 cover? The current version covers the years since 2022. Each release from Environment and Water becomes a new dated version here, and earlier versions stay online. ### How often is River Murray flood extent, 2022 to 2023 updated? Environment and Water no longer updates it. This site checks the portal every week and adds a dated version when the file changes. ### Can I use River Murray flood extent, 2022 to 2023 commercially? Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file. ### Is this the official source for River Murray flood extent, 2022 to 2023? No. The publisher is Department for Environment and Water, and its page is https://data.sa.gov.au/data/dataset/river-murray-flood-2022. This site republishes the publisher's file without changing its content. The original sits beside every version as source.zip with its SHA-256, so the two can be compared. ### What coordinate system does River Murray flood extent, 2022 to 2023 use? The publisher's layer is in GDA2020 South Australia Lambert (EPSG:8059); the shapes are moved to GDA2020 (EPSG:7844). The GeoJSON file uses GDA2020 as well, which differs from the WGS84 GeoJSON expects by well under a metre. ### What is in each row? One polygon of land that was under water in South Australia during the 2022 to 2023 River Murray flood, with the date of the imagery it was mapped from. The shapes are in the GeoParquet, GeoJSON, GeoPackage and PMTiles files. ### Which coordinates are these? The publisher supplies the layer in GDA2020 South Australia Lambert (EPSG:8059). The shapes here have been moved to GDA2020 longitude and latitude (EPSG:7844), as every polygon layer on this site is. ## What this site did to the data Cells were typed, headers were renamed to snake_case and the encoding was made UTF-8. Rows were left alone. Nothing is derived. The publisher's file is beside every version as `source.zip`. ## Improve this dataset This page is built from [register/sa-river-murray-flood-2022.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/sa-river-murray-flood-2022.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.