{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T02:06:39Z","timestamp":1790042799424,"version":"4.0.1"},"reference-count":39,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T00:00:00Z","timestamp":1575936000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"New South Wales Office of the Premier","award":["none given"],"award-info":[{"award-number":["none given"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Water managers need tools to assist in the management of ever increasing algal bloom problems over wide spatial areas to complement sparse and declining in situ monitoring networks. Optical methods employing satellite data offer rapid and widespread coverage for early detection of bloom events. The advent of the Analysis Ready Data (ARD) and Open Data Cube concepts offer the means to lower the technical challenges confronting managers, allowing them to adopt satellite tools. Exploiting Landsat ARD integrated into the Digital Earth Australia data cube, we developed a prototype algal bloom alerting tool for the state of New South Wales, Australia. A visualization portal allows managers to gain insights into bloom status across the state as a whole and to further investigate spatial patterns in bloom alerts at an individual water body basis. To complement this we also proposed an algal alert system for trial based on chlorophyll and TSM levels which requires further testing. The system was able to retrieve the status of 444 water bodies across the state and outputs from the visualization system are presented. Time series of image acquisitions during an intense bloom in one lake are used to demonstrate the potential of the system. We discuss the implications for further development and operationalisation including the potential for augmentation with alternative algorithms and incorporation of other sensor ARD data to improve both temporal and spectral resolutions.<\/jats:p>","DOI":"10.3390\/rs11242954","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T10:52:41Z","timestamp":1575975161000},"page":"2954","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Implementation of a Satellite Based Inland Water Algal Bloom Alerting System Using Analysis Ready Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7161-8770","authenticated-orcid":false,"given":"Tim J.","family":"Malthus","sequence":"first","affiliation":[{"name":"Coasts Program, CSIRO Oceans and Atmosphere, Brisbane, QLD 4102, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9145-9551","authenticated-orcid":false,"given":"Eric","family":"Lehmann","sequence":"additional","affiliation":[{"name":"CSIRO Data61, Canberra, ACT 2601, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Ho","sequence":"additional","affiliation":[{"name":"CSIRO IMT, now CSIRO Data61, Melbourne, VIC 3008, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5025-5373","authenticated-orcid":false,"given":"Elizabeth","family":"Botha","sequence":"additional","affiliation":[{"name":"Coasts Program, CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1681-9630","authenticated-orcid":false,"given":"Janet","family":"Anstee","sequence":"additional","affiliation":[{"name":"Coasts Program, CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,10]]},"reference":[{"key":"ref_1","unstructured":"United Nations Development Program (UNDP) (2019, October 30). 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