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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQM_2017-07-07_final.stac-item
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53JNN_2017-07-27_final.stac-item
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JPM_2017-09-18_final.stac-item
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53JNN_2017-10-15_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JFM_2017-11-04_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVU_2018-03-05_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWQ_2018-05-11_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXS_2018-06-20_final.stac-item
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JNM_2018-06-22_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KUT_2018-08-29_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50JPL_2018-10-18_final.stac-item
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53JQF_2018-10-27_final.stac-item
2018-12-02 10:43:58	ga_s2bm_ard_3-2-1_53JPN_2018-12-02_final.stac-item
2018-12-14 11:23:00	ga_s2bm_ard_3-2-1_51KZT_2018-12-14_final.stac-item
2018-12-17 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2018-12-17_final.stac-item
2018-12-21 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2018-12-21_final.stac-item
2019-01-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-01-06_final.stac-item
2019-01-26 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-01-26_final.stac-item
2019-01-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-01-29_final.stac-item
2019-02-25 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2019-02-25_final.stac-item
2019-03-30 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2019-03-30_final.stac-item
2019-05-11 10:44:15	ga_s2bm_ard_3-2-1_53JNN_2019-05-11_final.stac-item
2019-05-26 11:33:32	ga_s2bm_ard_3-2-1_51KXS_2019-05-26_final.stac-item
2019-08-26 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2019-08-26_final.stac-item
2019-09-16 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-09-16_final.stac-item
2019-09-25 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2019-09-25_final.stac-item
2019-10-03 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2019-10-03_final.stac-item
2019-10-08 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2019-10-08_final.stac-item
2019-12-05 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2019-12-05_final.stac-item
2019-12-22 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-22_final.stac-item
2020-01-03 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2020-01-03_final.stac-item
2020-01-23 10:34:29	ga_s2bm_ard_3-2-1_53JPL_2020-01-23_final.stac-item
2020-03-21 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-21_final.stac-item
2020-04-27 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2020-04-27_final.stac-item
2020-05-14 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2020-05-14_final.stac-item
2020-05-15 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2020-05-15_final.stac-item
2020-05-17 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2020-05-17_final.stac-item
2020-05-30 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-05-30_final.stac-item
2020-07-02 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-07-02_final.stac-item
2020-09-02 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2020-09-02_final.stac-item
2020-10-14 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2020-10-14_final.stac-item
2020-11-03 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2020-11-03_final.stac-item
2020-12-13 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2020-12-13_final.stac-item
2021-01-17 10:35:16	ga_s2bm_ard_3-2-1_53JMJ_2021-01-17_final.stac-item
2021-01-24 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2021-01-24_final.stac-item
2021-01-28 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-01-28_final.stac-item
2021-02-04 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-02-04_final.stac-item
2021-02-27 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-02-27_final.stac-item
2021-03-29 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-03-29_final
2021-04-05 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2021-04-05_final.stac-item
2021-04-05 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2021-04-05_final.stac-item
2021-04-25 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-04-25_final.stac-item
2021-04-27 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2021-04-27_final.stac-item
2021-07-21 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2021-07-21_final.stac-item
2021-08-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-08-03_final.stac-item
2021-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2021-09-02_final.stac-item
2021-09-27 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2021-09-27_final.stac-item
2021-10-04 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2021-10-04_final.stac-item
2021-10-19 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-19_final.stac-item
2021-10-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-10-25_final.stac-item
2021-11-04 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-11-04_final.stac-item
2021-11-21 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2021-11-21_final.stac-item
2021-11-25 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2021-11-25_final.stac-item
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final.stac-item
2022-01-02 10:33:49	ga_s2bm_ard_3-2-1_53KPP_2022-01-02_final.stac-item
2022-01-22 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2022-01-22_final.stac-item
2022-01-27 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-01-27_final.stac-item
2022-02-07 10:55:33	ga_s2bm_ard_3-2-1_53JKG_2022-02-07_final.stac-item
2022-02-14 10:45:37	ga_s2bm_ard_3-2-1_53JKG_2022-02-14_final.stac-item
2022-02-25 10:16:47	ga_s2bm_ard_3-2-1_53HQB_2022-02-25_final.stac-item
2022-03-15 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2022-03-15_final.stac-item
2022-04-29 10:24:33	ga_s2bm_ard_3-2-1_53JQL_2022-04-29_final.stac-item
2022-06-26 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2022-06-26_final.stac-item
2022-06-29 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2022-06-29_final.stac-item
2022-10-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-10-20_final.stac-item
2022-12-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-19_final.stac-item
2022-12-26 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-12-26_final.stac-item
2023-01-29 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2023-01-29_final.stac-item
2023-05-05 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-05-05_final
2023-05-17 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2023-05-17_final
2023-06-01 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-01_final
2023-06-03 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2023-06-03_final
2023-06-07 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-06-07_final
2023-06-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-06-11_final
2023-07-16 10:34:38	ga_s2bm_ard_3-2-1_53JQL_2023-07-16_final
2023-08-23 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-08-23_final
2023-10-22 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-22_final
2023-11-27 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-11-27_final
2023-12-04 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-12-04_final
2023-12-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-12-14_final
2023-12-21 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-12-21_final
2023-12-26 10:45:55	ga_s2bm_ard_3-2-1_53JKF_2023-12-26_final
2024-01-07 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2024-01-07_final
2024-01-17 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2024-01-17_final
2024-01-22 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2024-01-22_final
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2024-03-09_final
2024-04-02 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2024-04-02_final
2024-04-09 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-09_final
2024-04-13 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-04-13_final
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_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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