Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JLR_2017-07-04_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JKQ_2017-07-14_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JLR_2017-07-14_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JKQ_2017-08-03_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JLQ_2017-08-03_final.stac-item
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JHN_2017-10-05_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JLQ_2017-10-19_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JMQ_2018-01-27_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JMR_2018-02-09_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JMQ_2018-02-16_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JMR_2018-06-09_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JMQ_2018-06-16_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMQ_2018-06-26_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JMR_2018-06-26_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JMR_2018-06-29_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLS_2018-07-09_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JMR_2018-07-09_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JMR_2018-07-19_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMR_2018-09-24_final.stac-item
2019-02-01 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-02-01_final.stac-item
2019-02-11 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2019-02-11_final.stac-item
2019-03-16 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2019-03-16_final.stac-item
2019-03-16 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-03-16_final.stac-item
2019-03-23 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-03-23_final.stac-item
2019-03-26 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-03-26_final.stac-item
2019-04-05 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2019-04-05_final.stac-item
2019-04-05 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2019-04-05_final.stac-item
2019-04-05 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-04-05_final.stac-item
2019-04-22 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2019-04-22_final.stac-item
2019-04-25 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-04-25_final.stac-item
2019-04-25 12:05:31	ga_s2bm_ard_3-2-1_50JLQ_2019-04-25_final.stac-item
2019-05-05 12:05:06	ga_s2bm_ard_3-2-1_50JMR_2019-05-05_final.stac-item
2019-05-05 12:05:16	ga_s2bm_ard_3-2-1_50JLR_2019-05-05_final.stac-item
2019-05-05 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-05-05_final.stac-item
2019-05-05 12:05:31	ga_s2bm_ard_3-2-1_50JLQ_2019-05-05_final.stac-item
2019-06-14 12:05:06	ga_s2bm_ard_3-2-1_50JMR_2019-06-14_final.stac-item
2019-06-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-06-14_final.stac-item
2019-06-21 11:54:58	ga_s2bm_ard_3-2-1_50JLT_2019-06-21_final.stac-item
2019-06-24 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-06-24_final.stac-item
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final.stac-item
2019-09-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2019-09-09_final.stac-item
2019-09-22 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2019-09-22_final.stac-item
2019-09-29 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-09-29_final.stac-item
2019-09-29 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2019-09-29_final.stac-item
2019-09-29 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-09-29_final.stac-item
2019-10-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2019-10-09_final.stac-item
2019-12-08 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2019-12-08_final.stac-item
2020-01-17 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2020-01-17_final.stac-item
2020-02-06 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2020-02-06_final.stac-item
2020-02-16 11:55:05	ga_s2bm_ard_3-2-1_50JMR_2020-02-16_final.stac-item
2020-03-30 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2020-03-30_final.stac-item
2020-03-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2020-03-30_final.stac-item
2020-04-09 12:05:16	ga_s2bm_ard_3-2-1_50JLQ_2020-04-09_final.stac-item
2020-05-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-05-09_final.stac-item
2020-05-16 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2020-05-16_final.stac-item
2020-05-26 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2020-05-26_final.stac-item
2020-06-08 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-06-08_final.stac-item
2020-06-15 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2020-06-15_final.stac-item
2020-07-25 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-07-25_final.stac-item
2020-07-25 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2020-07-25_final.stac-item
2020-07-28 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2020-07-28_final.stac-item
2020-07-28 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-07-28_final.stac-item
2020-09-03 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-09-03_final.stac-item
2020-09-06 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2020-09-06_final.stac-item
2020-09-10 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-09-10_final.stac-item
2020-09-13 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2020-09-13_final.stac-item
2020-09-13 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-09-13_final.stac-item
2020-11-15 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-11-15_final.stac-item
2021-04-01 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2021-04-01_final.stac-item
2022-07-25 11:54:49	ga_s2bm_ard_3-2-1_50JLT_2022-07-25_final.stac-item
2022-11-12 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2022-11-12_final.stac-item
2023-01-14 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2023-01-14_final.stac-item
2023-02-03 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2023-02-03_final.stac-item
2023-05-04 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2023-05-04_final
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-05-14_final
2023-05-14 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-05-14_final
2023-05-18 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-05-18_final
2023-06-03 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-06-03_final
2023-07-03 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-07-03_final
2023-07-03 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-03_final
2023-07-03 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-07-03_final
2023-07-13 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-13_final
2023-07-13 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-07-13_final
2023-07-23 12:05:14	ga_s2bm_ard_3-2-1_50JLR_2023-07-23_final
2023-07-23 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-07-23_final
2023-08-22 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-08-22_final
2023-08-29 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-08-29_final
2023-09-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-09-01_final
2023-09-28 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2023-09-28_final
2023-12-07 11:55:21	ga_s2bm_ard_3-2-1_50JMQ_2023-12-07_final
2023-12-17 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2023-12-17_final
2024-01-16 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-01-16_final
2024-02-05 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2024-02-05_final
2024-02-22 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-02-22_final
2024-04-08 12:04:30	ga_s2bm_ard_3-2-1_50JLT_2024-04-08_final
2024-04-28 12:04:30	ga_s2bm_ard_3-2-1_50JLT_2024-04-28_final
2024-04-28 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2024-04-28_final
2024-05-08 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2024-05-08_final
2024-05-18 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-05-18_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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