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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPN_2017-08-27_final.stac-item
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-05_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KWB_2017-09-16_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HVC_2017-11-19_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51LYD_2017-11-22_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JPL_2017-11-25_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVQ_2017-12-02_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KPC_2017-12-18_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUP_2018-02-20_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KLC_2018-03-21_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JPR_2018-08-05_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KXT_2018-08-29_final.stac-item
2018-12-01 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2018-12-01_final.stac-item
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final.stac-item
2019-01-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2019-01-13_final.stac-item
2019-01-22 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-01-22_final.stac-item
2019-02-06 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2019-02-06_final.stac-item
2019-04-06 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2019-04-06_final.stac-item
2019-05-08 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-08_final.stac-item
2019-06-21 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-06-21_final.stac-item
2019-06-25 11:32:59	ga_s2bm_ard_3-2-1_51KYU_2019-06-25_final.stac-item
2019-08-13 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-08-13_final.stac-item
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final.stac-item
2019-09-13 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-09-13_final.stac-item
2019-10-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final.stac-item
2020-01-18 11:24:20	ga_s2bm_ard_3-2-1_51JXN_2020-01-18_final.stac-item
2020-01-31 11:33:34	ga_s2bm_ard_3-2-1_51KWR_2020-01-31_final.stac-item
2020-02-06 11:56:11	ga_s2bm_ard_3-2-1_50JNL_2020-02-06_final.stac-item
2020-03-07 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2020-03-07_final.stac-item
2020-04-10 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-04-10_final.stac-item
2020-04-23 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-04-23_final.stac-item
2020-04-27 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-04-27_final.stac-item
2020-05-07 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2020-05-07_final.stac-item
2020-06-10 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2020-06-10_final.stac-item
2020-06-26 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-26_final.stac-item
2020-07-11 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-11_final.stac-item
2020-07-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-07-19_final.stac-item
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final.stac-item
2020-10-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-27_final.stac-item
2020-12-13 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2020-12-13_final.stac-item
2020-12-29 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-12-29_final.stac-item
2021-01-16 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2021-01-16_final.stac-item
2021-02-14 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-02-14_final.stac-item
2021-04-18 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-04-18_final.stac-item
2021-06-14 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2021-06-14_final.stac-item
2021-06-24 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2021-06-24_final.stac-item
2021-07-01 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-07-01_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-14 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-14_final.stac-item
2021-07-28 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2021-07-28_final.stac-item
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final.stac-item
2021-08-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-08-19_final.stac-item
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final.stac-item
2021-10-06 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2021-10-06_final.stac-item
2021-10-28 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-10-28_final.stac-item
2021-11-04 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-11-04_final.stac-item
2021-11-24 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2021-11-24_final.stac-item
2021-11-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-11-27_final.stac-item
2021-12-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2021-12-08_final.stac-item
2022-01-18 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2022-01-18_final.stac-item
2022-01-27 11:24:02	ga_s2bm_ard_3-2-1_51KYP_2022-01-27_final.stac-item
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final.stac-item
2022-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-02-22_final.stac-item
2022-03-11 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2022-03-11_final.stac-item
2022-03-31 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-03-31_final.stac-item
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final.stac-item
2022-05-10 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2022-05-10_final.stac-item
2022-05-13 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-05-13_final.stac-item
2022-05-21 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2022-05-21_final.stac-item
2022-06-12 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-06-12_final.stac-item
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final.stac-item
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final
2022-09-04 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2022-09-04_final.stac-item
2022-10-07 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-10-07_final.stac-item
2022-11-26 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2022-11-26_final.stac-item
2022-12-12 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2022-12-12_final.stac-item
2022-12-23 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-12-23_final.stac-item
2022-12-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-12-28_final.stac-item
2023-02-04 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2023-02-04_final.stac-item
2023-02-23 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-02-23_final
2023-03-06 11:34:32	ga_s2bm_ard_3-2-1_51JVN_2023-03-06_final
2023-04-07 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-04-07_final
2023-04-22 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-04-22_final
2023-06-06 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-06_final
2023-07-27 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-07-27_final
2023-08-10 11:25:44	ga_s2bm_ard_3-2-1_51JXH_2023-08-10_final
2023-08-26 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-08-26_final
2023-09-25 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-09-25_final
2023-10-12 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-10-12_final
2023-10-29 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-29_final
2023-11-11 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-11-11_final
2023-12-10 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-12-10_final
2024-01-26 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-01-26_final
2024-01-27 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2024-01-27_final
2024-01-30 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2024-01-30_final
2024-02-12 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2024-02-12_final
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_final
2024-03-18 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-03-18_final
2024-05-19 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2024-05-19_nrt

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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