Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/earth-observation&rft.title=EARTH OBSERVATION&rft.identifier=http://data.nsw.gov.au/data/dataset/earth-observation&rft.publisher=data.nsw.gov.au&rft.description=Data Quality StatementAccessing_Data.txtThis is a landing page. To access the datasets, expand the RELATED DATASETS section below, and follow the link to the dataset you require. \r\n\r\n--------------------------------------\r\n\r\nThe Remote Sensing Organisational Unit as part of the Water Group, within the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) is dedicated to harnessing the power of satellite earth observations, aerial imagery, in-situ data, and advanced modelling techniques to produce cutting-edge remote sensing information products. Our team employs a multi-faceted approach, integrating remote sensing data captured by satellites operating at various temporal and spatial scales with on-the-ground observations and key spatial datasets, including land-use mapping, weather data, and ancillary verification datasets. This synthesis of diverse information sources enables us to derive critical insights that significantly contribute to water resource planning, policy formulation, and advancements in scientific research.\r\n\r\nDrawing upon satellite imagery from reputable sources such as NASA, the European Space Agency, and commercial providers like Planet and SPOT, our team places a special emphasis on leveraging Landsat and Sentinel satellite imagery. Renowned for their archived, calibrated, and consistent datasets, these sources provide a significant advantage in our pursuit of delivering accurate and reliable information. To ensure the robustness of our information products, we implement thorough validation processes, incorporating semi-automation techniques that facilitate rapid turnaround times.\r\n\r\nOur operational efficiency is further enhanced through strategic interventions in our workflows, including the automation of processes through efficient computing scripts and the utilization of Google Earth Engine for cloud computing. This integrated approach allows us to maintain high standards of data quality while meeting the increasing demand for timely and accurate information.\r\n\r\nOur commitment to providing high-quality, professional, and technically accurate Remote Sensing - Geographic Information System (RS-GIS) data packages, maps, and information is underscored by our recognition of the growing role of technology in information transfer and the promotion of information sharing. Moreover, our dedication to ensuring the currency of RS-GIS methods, interpretation techniques, and 3D modelling enables us to continually deliver innovative products that align with evolving client expectations. Through these efforts, our team strives to contribute meaningfully to the advancement of remote sensing applications for improved environmental understanding and informed decision-making.\r\n\r\n-----------------------------------\r\n\r\nNote: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.\r\n\r\n\r\n\r\n \r\n&rft.creator=Anonymous&rft.date=2025&rft.coverage=141,-37.7 141,-28 154,-28 154,-37.7 141,-37.7&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=DCCEEW - Water&rft_subject=DCCEEW - Water Analytics&rft_subject=Remote Sensing&rft.type=dataset&rft.language=English Access the data

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Brief description

This is a landing page. To access the datasets, expand the RELATED DATASETS section below, and follow the link to the dataset you require. \r\n\r\n--------------------------------------\r\n\r\nThe Remote Sensing Organisational Unit as part of the Water Group, within the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) is dedicated to harnessing the power of satellite earth observations, aerial imagery, in-situ data, and advanced modelling techniques to produce cutting-edge remote sensing information products. Our team employs a multi-faceted approach, integrating remote sensing data captured by satellites operating at various temporal and spatial scales with on-the-ground observations and key spatial datasets, including land-use mapping, weather data, and ancillary verification datasets. This synthesis of diverse information sources enables us to derive critical insights that significantly contribute to water resource planning, policy formulation, and advancements in scientific research.\r\n\r\nDrawing upon satellite imagery from reputable sources such as NASA, the European Space Agency, and commercial providers like Planet and SPOT, our team places a special emphasis on leveraging Landsat and Sentinel satellite imagery. Renowned for their archived, calibrated, and consistent datasets, these sources provide a significant advantage in our pursuit of delivering accurate and reliable information. To ensure the robustness of our information products, we implement thorough validation processes, incorporating semi-automation techniques that facilitate rapid turnaround times.\r\n\r\nOur operational efficiency is further enhanced through strategic interventions in our workflows, including the automation of processes through efficient computing scripts and the utilization of Google Earth Engine for cloud computing. This integrated approach allows us to maintain high standards of data quality while meeting the increasing demand for timely and accurate information.\r\n\r\nOur commitment to providing high-quality, professional, and technically accurate Remote Sensing - Geographic Information System (RS-GIS) data packages, maps, and information is underscored by our recognition of the growing role of technology in information transfer and the promotion of information sharing. Moreover, our dedication to ensuring the currency of RS-GIS methods, interpretation techniques, and 3D modelling enables us to continually deliver innovative products that align with evolving client expectations. Through these efforts, our team strives to contribute meaningfully to the advancement of remote sensing applications for improved environmental understanding and informed decision-making.\r\n\r\n-----------------------------------\r\n\r\nNote: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.\r\n\r\n\r\n\r\n \r\n

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Data Quality Statement
Accessing_Data.txt

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141,-37.7 141,-28 154,-28 154,-37.7 141,-37.7

147.5,-32.85

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