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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2017-08-13_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KXT_2017-11-29_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVR_2017-12-22_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVU_2018-03-02_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGM_2018-03-31_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUT_2018-05-01_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVU_2018-05-14_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HVD_2018-07-27_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWA_2018-08-29_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KYT_2018-10-05_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXR_2018-10-18_final.stac-item
2018-12-17 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2018-12-17_final.stac-item
2018-12-24 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2018-12-24_final.stac-item
2019-01-16 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2019-01-16_final.stac-item
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final.stac-item
2019-01-29 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-01-29_final.stac-item
2019-02-21 11:53:09	ga_s2bm_ard_3-2-1_50KQC_2019-02-21_final.stac-item
2019-03-24 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2019-03-24_final.stac-item
2019-04-16 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2019-04-16_final.stac-item
2019-05-06 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-05-06_final.stac-item
2019-05-16 11:32:59	ga_s2bm_ard_3-2-1_51KYU_2019-05-16_final.stac-item
2019-06-05 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-06-05_final.stac-item
2019-07-22 11:23:09	ga_s2bm_ard_3-2-1_51KXU_2019-07-22_final.stac-item
2019-08-11 11:23:27	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final.stac-item
2019-10-03 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-10-03_final.stac-item
2019-10-12 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-12_final.stac-item
2019-11-08 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-11-08_final.stac-item
2020-01-11 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-01-11_final.stac-item
2020-02-17 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2020-02-17_final.stac-item
2020-03-08 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2020-03-08_final.stac-item
2020-03-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2020-03-17_final
2020-03-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-03-21_final.stac-item
2020-03-24 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2020-03-24_final.stac-item
2020-05-03 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2020-05-03_final.stac-item
2020-05-09 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2020-05-09_final.stac-item
2020-05-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2020-05-23_final.stac-item
2020-06-05 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2020-06-05_final.stac-item
2020-07-19 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-07-19_final.stac-item
2020-07-26 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2020-07-26_final.stac-item
2020-07-29 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2020-07-29_final.stac-item
2020-08-02 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2020-08-02_final.stac-item
2020-08-25 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-08-25_final.stac-item
2020-10-10 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-10_final.stac-item
2020-11-06 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-11-06_final.stac-item
2020-11-26 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2020-11-26_final.stac-item
2020-12-03 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2020-12-03_final.stac-item
2021-02-17 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-02-17_final.stac-item
2021-02-21 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2021-02-21_final.stac-item
2021-03-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-03-29_final.stac-item
2021-04-28 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-04-28_final.stac-item
2021-07-17 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2021-07-17_final.stac-item
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2021-07-27_final.stac-item
2021-08-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-08-20_final.stac-item
2021-09-05 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2021-09-05_final.stac-item
2021-10-15 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-10-15_final.stac-item
2021-10-29 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2021-10-29_final.stac-item
2021-11-01 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-11-01_final.stac-item
2021-11-04 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-11-04_final.stac-item
2021-11-04 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-11-04_final.stac-item
2021-11-11 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2021-11-11_final.stac-item
2021-12-01 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2021-12-01_final.stac-item
2021-12-11 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-12-11_final.stac-item
2021-12-18 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2021-12-18_final.stac-item
2021-12-21 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2021-12-21_final.stac-item
2022-01-03 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-03_final.stac-item
2022-01-23 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-01-23_final.stac-item
2022-04-07 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2022-04-07_final.stac-item
2022-04-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-04-23_final.stac-item
2022-05-03 11:42:11	ga_s2bm_ard_3-2-1_51KUB_2022-05-03_final
2022-06-15 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2022-06-15_final.stac-item
2022-06-16 11:24:15	ga_s2bm_ard_3-2-1_51KXP_2022-06-16_final.stac-item
2022-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2022-08-08_final.stac-item
2022-08-15 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2022-08-15_final.stac-item
2022-08-28 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-08-28_final.stac-item
2022-09-07 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-09-07_final.stac-item
2022-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2022-09-14_final.stac-item
2022-09-17 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-09-17_final.stac-item
2022-10-07 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-10-07_final.stac-item
2022-12-29 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-12-29_final.stac-item
2023-01-15 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-01-15_final.stac-item
2023-01-18 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-18_final.stac-item
2023-02-04 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-02-04_final.stac-item
2023-02-24 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2023-02-24_final
2023-04-02 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-04-02_final
2023-05-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-05-05_final
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final
2023-05-25 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-05-25_final
2023-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-28_final
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final
2023-06-11 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2023-06-11_final
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final
2023-10-15 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-10-15_final
2023-12-01 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-12-01_final
2023-12-11 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-12-11_final
2023-12-20 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-12-20_final
2024-01-04 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-01-04_final
2024-04-19 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2024-04-19_final
2024-04-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-04-22_final
2024-05-02 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_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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