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
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KBV_2018-03-26_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KCV_2018-03-26_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KDV_2018-03-26_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KEV_2018-03-26_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51KZQ_2018-03-26_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KMV_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KNV_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KPV_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KQV_2018-03-28_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_56KKV_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_56KLV_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55KGQ_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55KHQ_2018-03-29_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KUQ_2018-04-01_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVQ_2018-04-01_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWQ_2018-04-01_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KXQ_2018-04-01_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KDV_2018-04-02_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KEV_2018-04-02_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KFV_2018-04-02_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KGV_2018-04-02_final.stac-item
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KHV_2018-04-02_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KBV_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KCV_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KDV_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KEV_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51KZQ_2018-04-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KMV_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KNV_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KPV_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KQV_2018-04-07_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_52KBV_2018-04-08_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KWQ_2018-04-08_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KXQ_2018-04-08_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KYQ_2018-04-08_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KZQ_2018-04-08_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKV_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLV_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KMV_2018-04-10_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55KDQ_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55KEQ_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55KFQ_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55KGQ_2018-04-11_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KDV_2018-04-12_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KEV_2018-04-12_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KFV_2018-04-12_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KGV_2018-04-12_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KHV_2018-04-12_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53KPQ_2018-04-13_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54KTV_2018-04-13_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53KQQ_2018-04-13_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54KUV_2018-04-13_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53KRQ_2018-04-13_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KTQ_2018-09-01_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUQ_2018-09-01_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50KPV_2018-09-01_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50KQV_2018-09-01_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50KRV_2018-09-01_final.stac-item
2019-07-08 10:03:18	ga_s2bm_ard_3-2-1_55KEQ_2019-07-08_final.stac-item
2019-07-08 10:03:26	ga_s2bm_ard_3-2-1_55KDQ_2019-07-08_final.stac-item
2019-07-08 10:03:29	ga_s2bm_ard_3-2-1_55KCQ_2019-07-08_final.stac-item
2019-07-08 10:03:32	ga_s2bm_ard_3-2-1_55KBQ_2019-07-08_final.stac-item
2019-07-08 10:03:33	ga_s2bm_ard_3-2-1_54KZV_2019-07-08_final.stac-item
2019-07-25 09:53:20	ga_s2bm_ard_3-2-1_55KGQ_2019-07-25_final.stac-item
2019-07-25 09:53:23	ga_s2bm_ard_3-2-1_55KFQ_2019-07-25_final.stac-item
2019-07-25 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-07-25_final.stac-item
2019-07-25 09:53:30	ga_s2bm_ard_3-2-1_55KDQ_2019-07-25_final.stac-item
2021-11-28 09:43:04	ga_s2bm_ard_3-2-1_56KLV_2021-11-28_final.stac-item
2021-11-28 09:43:08	ga_s2bm_ard_3-2-1_56KKV_2021-11-28_final.stac-item
2021-11-28 09:43:08	ga_s2bm_ard_3-2-1_55KHQ_2021-11-28_final.stac-item
2021-11-28 09:43:11	ga_s2bm_ard_3-2-1_55KGQ_2021-11-28_final.stac-item
2021-11-30 10:23:13	ga_s2bm_ard_3-2-1_54KXV_2021-11-30_final.stac-item
2021-11-30 10:23:21	ga_s2bm_ard_3-2-1_54KWV_2021-11-30_final.stac-item
2021-11-30 10:23:24	ga_s2bm_ard_3-2-1_54KVV_2021-11-30_final.stac-item
2021-11-30 10:23:28	ga_s2bm_ard_3-2-1_54KUV_2021-11-30_final.stac-item
2021-11-30 10:23:32	ga_s2bm_ard_3-2-1_54KTV_2021-11-30_final.stac-item
2021-12-03 10:33:23	ga_s2bm_ard_3-2-1_54KUV_2021-12-03_final.stac-item
2021-12-03 10:33:26	ga_s2bm_ard_3-2-1_54KTV_2021-12-03_final.stac-item
2021-12-03 10:33:26	ga_s2bm_ard_3-2-1_53KRQ_2021-12-03_final.stac-item
2021-12-03 10:33:30	ga_s2bm_ard_3-2-1_53KQQ_2021-12-03_final.stac-item
2021-12-03 10:33:33	ga_s2bm_ard_3-2-1_53KPQ_2021-12-03_final.stac-item
2021-12-03 12:14:03	ga_s2bm_ard_3-2-1_50KKV_2021-12-03_final.stac-item
2021-12-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-03_final.stac-item
2021-12-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-03_final.stac-item
2021-12-04 10:03:04	ga_s2bm_ard_3-2-1_55KEQ_2021-12-04_final.stac-item
2021-12-04 10:03:12	ga_s2bm_ard_3-2-1_55KDQ_2021-12-04_final.stac-item
2021-12-04 10:03:16	ga_s2bm_ard_3-2-1_55KCQ_2021-12-04_final.stac-item
2021-12-04 10:03:19	ga_s2bm_ard_3-2-1_55KBQ_2021-12-04_final.stac-item
2021-12-04 10:03:19	ga_s2bm_ard_3-2-1_54KZV_2021-12-04_final.stac-item
2021-12-10 10:23:12	ga_s2bm_ard_3-2-1_54KXV_2021-12-10_final.stac-item
2021-12-10 10:23:20	ga_s2bm_ard_3-2-1_54KWV_2021-12-10_final.stac-item
2021-12-10 10:23:24	ga_s2bm_ard_3-2-1_54KVV_2021-12-10_final.stac-item
2021-12-10 10:23:27	ga_s2bm_ard_3-2-1_54KUV_2021-12-10_final.stac-item
2021-12-10 10:23:32	ga_s2bm_ard_3-2-1_54KTV_2021-12-10_final.stac-item
2021-12-15 09:33:07	ga_s2bm_ard_3-2-1_56KLV_2021-12-15_final.stac-item
2021-12-17 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2021-12-17_final.stac-item
2021-12-17 11:53:58	ga_s2bm_ard_3-2-1_50KPV_2021-12-17_final.stac-item
2021-12-17 11:54:02	ga_s2bm_ard_3-2-1_50KNV_2021-12-17_final.stac-item

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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