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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVS_2017-07-05_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWR_2017-11-22_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVB_2017-12-05_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-05_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXR_2017-12-19_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KWR_2018-04-21_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KYT_2018-05-01_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVU_2018-05-21_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KTU_2018-07-03_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KXT_2018-07-10_final.stac-item
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KWA_2018-09-18_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWT_2018-09-28_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWS_2018-10-18_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVT_2018-10-31_final.stac-item
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final.stac-item
2018-11-24 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2018-11-24_final.stac-item
2018-11-27 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2018-11-27_final.stac-item
2018-11-27 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2018-11-27_final.stac-item
2018-12-07 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-07_final.stac-item
2018-12-20 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2018-12-20_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final.stac-item
2018-12-24 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2018-12-24_final.stac-item
2018-12-27 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-12-27_final.stac-item
2019-01-19 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2019-01-19_final.stac-item
2019-01-29 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-01-29_final.stac-item
2019-02-21 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-02-21_final.stac-item
2019-02-22 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2019-02-22_final.stac-item
2019-03-27 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-03-27_final.stac-item
2019-04-09 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2019-04-09_final.stac-item
2019-06-05 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-06-05_final.stac-item
2019-06-25 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-06-25_final.stac-item
2019-06-25 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-06-25_final.stac-item
2019-06-28 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-06-28_final.stac-item
2019-07-05 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-07-05_final.stac-item
2019-07-05 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-05_final.stac-item
2019-09-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-09-13_final.stac-item
2019-10-23 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-23_final.stac-item
2019-10-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-10-30_final.stac-item
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-11-12_final.stac-item
2019-11-15 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-11-15_final.stac-item
2019-11-25 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2019-11-25_final.stac-item
2019-12-02 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-02_final.stac-item
2019-12-09 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2019-12-09_final.stac-item
2020-01-18 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2020-01-18_final.stac-item
2020-04-10 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2020-04-10_final.stac-item
2020-07-06 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2020-07-06_final.stac-item
2020-08-15 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-08-15_final.stac-item
2020-09-27 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-09-27_final.stac-item
2020-10-30 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-10-30_final.stac-item
2020-11-13 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-11-13_final.stac-item
2020-11-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2020-11-29_final.stac-item
2020-11-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2020-11-29_final.stac-item
2020-12-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-12-06_final.stac-item
2020-12-16 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2020-12-16_final.stac-item
2020-12-26 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2020-12-26_final.stac-item
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-01-08_final.stac-item
2021-01-12 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-01-12_final.stac-item
2021-03-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2021-03-26_final.stac-item
2021-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2021-06-07_final.stac-item
2021-07-27 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2021-07-27_final
2021-08-09 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2021-08-09_final.stac-item
2021-08-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-08-12_final
2021-08-13 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2021-08-13_final.stac-item
2021-08-23 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-08-23_final.stac-item
2021-10-05 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-10-05_final.stac-item
2021-10-15 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2021-10-15_final
2021-11-24 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2021-11-24_final.stac-item
2021-12-04 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-12-04_final.stac-item
2021-12-21 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2021-12-21_final.stac-item
2022-01-30 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-01-30_final.stac-item
2022-02-12 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2022-02-12_final.stac-item
2022-03-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-03-18_final.stac-item
2022-04-17 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2022-04-17_final.stac-item
2022-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-04-20_final.stac-item
2022-04-23 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-04-23_final.stac-item
2022-06-26 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-06-26_final.stac-item
2022-09-30 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-09-30_final.stac-item
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-11-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-11-29_final.stac-item
2022-12-03 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2022-12-03_final.stac-item
2022-12-26 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-02-04 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2023-02-04_final.stac-item
2023-03-16 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-03-16_final
2023-04-08 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-04-08_final
2023-07-24 11:33:01	ga_s2bm_ard_3-2-1_51KXU_2023-07-24_final
2023-08-13 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2023-08-13_final
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final
2023-08-26 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2023-08-26_final
2023-09-09 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-09-09_final
2023-10-15 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-10-15_final
2023-10-22 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-10-22_final
2023-11-01 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-11-01_final
2023-12-31 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-12-31_final
2024-02-02 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2024-02-02_final
2024-02-05 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-02-05_final
2024-02-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-02-22_final
2024-02-26 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-02-26_final
2024-03-17 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-03-17_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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