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
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HMK_2017-11-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLN_2017-12-18_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HXD_2018-01-18_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KWP_2018-01-18_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50JQT_2018-02-23_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVS_2018-02-23_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KQC_2018-05-17_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KKA_2018-05-30_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPN_2018-07-03_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-14_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KWA_2018-09-21_final.stac-item
2019-01-26 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-01-26_final.stac-item
2019-02-05 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2019-02-05_final.stac-item
2019-02-15 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2019-02-15_final.stac-item
2019-02-22 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-02-22_final.stac-item
2019-03-01 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2019-03-01_final.stac-item
2019-03-10 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2019-03-10_final.stac-item
2019-04-16 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-04-16_final.stac-item
2019-05-05 12:03:31	ga_s2bm_ard_3-2-1_50KMC_2019-05-05_final.stac-item
2019-05-05 12:03:46	ga_s2bm_ard_3-2-1_50KMB_2019-05-05_final.stac-item
2019-05-12 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-12_final.stac-item
2019-05-16 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-05-16_final.stac-item
2019-05-16 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-16_final.stac-item
2019-06-05 11:32:53	ga_s2bm_ard_3-2-1_51KWV_2019-06-05_final.stac-item
2019-06-22 11:24:20	ga_s2bm_ard_3-2-1_51KXP_2019-06-22_final.stac-item
2019-07-22 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2019-07-22_final.stac-item
2019-09-06 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2019-09-06_final.stac-item
2019-10-03 11:33:03	ga_s2bm_ard_3-2-1_51KWT_2019-10-03_final.stac-item
2019-10-26 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2019-10-26_final.stac-item
2019-11-21 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-11-21_final.stac-item
2019-12-11 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2019-12-11_final.stac-item
2020-01-07 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2020-01-07_final.stac-item
2020-01-21 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2020-01-21_final.stac-item
2020-01-30 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2020-01-30_final.stac-item
2020-01-31 11:32:18	ga_s2bm_ard_3-2-1_51KXA_2020-01-31_final.stac-item
2020-02-03 11:46:55	ga_s2bm_ard_3-2-1_50HPH_2020-02-03_final.stac-item
2020-02-16 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-02-16_final.stac-item
2020-03-01 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-03-01_final.stac-item
2020-03-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2020-03-17_final
2020-03-20 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-03-20_final.stac-item
2020-03-24 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2020-03-24_final.stac-item
2020-04-22 12:15:14	ga_s2bm_ard_3-2-1_49JGK_2020-04-22_final.stac-item
2020-05-09 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2020-05-09_final.stac-item
2020-06-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-06-08_final.stac-item
2020-06-19 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2020-06-19_final.stac-item
2020-10-07 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-07_final.stac-item
2020-12-29 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-12-29_final.stac-item
2021-02-04 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-02-04_final.stac-item
2021-03-22 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-03-22_final.stac-item
2021-04-12 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2021-04-12_final.stac-item
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final.stac-item
2021-05-08 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-05-08_final.stac-item
2021-06-07 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-07_final.stac-item
2021-06-13 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-06-13_final.stac-item
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final.stac-item
2021-06-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-27_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-27 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2021-07-27_final.stac-item
2021-08-06 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2021-08-06_final.stac-item
2021-08-10 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-08-10_final.stac-item
2021-10-25 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2021-10-25_final.stac-item
2021-11-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-11-07_final.stac-item
2021-11-11 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-11-11_final.stac-item
2021-12-21 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-12-21_final.stac-item
2021-12-24 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2021-12-24_final.stac-item
2022-01-19 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-19_final.stac-item
2022-02-05 11:53:48	ga_s2bm_ard_3-2-1_50KNA_2022-02-05_final.stac-item
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final.stac-item
2022-02-22 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2022-02-22_final.stac-item
2022-03-04 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2022-03-04_final.stac-item
2022-03-08 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2022-03-08_final.stac-item
2022-05-03 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-05-03_final.stac-item
2022-06-12 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2022-06-12_final.stac-item
2022-06-26 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-06-26_final.stac-item
2022-08-24 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-08-24_final.stac-item
2022-09-03 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2022-09-03_final.stac-item
2022-09-17 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-17_final.stac-item
2022-09-24 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2022-09-24_final.stac-item
2022-11-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-11-22_final.stac-item
2022-12-15 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2022-12-15_final.stac-item
2023-01-08 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-01-08_final.stac-item
2023-01-11 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2023-01-11_final.stac-item
2023-01-12 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2023-01-12_final.stac-item
2023-04-05 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2023-04-05_final
2023-04-22 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2023-04-22_final
2023-04-28 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-28_final
2023-05-04 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-05-04_final
2023-05-05 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-05-05_final
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final
2023-05-08 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2023-05-08_final
2023-07-04 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-07-04_final
2023-08-29 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-08-29_final
2023-09-15 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2023-09-15_final
2023-10-02 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2023-10-02_final
2023-10-19 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-19_final
2023-12-10 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-10_final
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2024-03-12_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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