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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final.stac-item
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HPK_2017-09-03_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50KMB_2017-09-29_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUC_2017-11-19_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JVL_2018-01-21_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KNB_2018-01-30_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUR_2018-02-03_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KPC_2018-03-08_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUR_2018-03-25_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HUD_2018-05-21_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-06-12_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLQ_2018-08-05_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51JZN_2018-10-12_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JMM_2018-11-03_final.stac-item
2018-11-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-11-26_final.stac-item
2019-01-05 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2019-01-05_final.stac-item
2019-01-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-01-08_final.stac-item
2019-03-01 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2019-03-01_final.stac-item
2019-03-29 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-03-29_final.stac-item
2019-06-08 11:46:30	ga_s2bm_ard_3-2-1_50JNL_2019-06-08_final.stac-item
2019-06-22 11:26:40	ga_s2bm_ard_3-2-1_51HUE_2019-06-22_final.stac-item
2019-08-01 11:25:17	ga_s2bm_ard_3-2-1_51JXK_2019-08-01_final.stac-item
2019-11-02 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-11-02_final.stac-item
2019-11-12 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2019-11-12_final.stac-item
2020-02-02 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-02-02_final.stac-item
2020-02-06 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2020-02-06_final.stac-item
2020-03-07 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2020-03-07_final.stac-item
2020-03-31 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2020-03-31_final.stac-item
2020-04-13 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2020-04-13_final.stac-item
2020-04-14 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-04-14_final.stac-item
2020-04-27 11:26:27	ga_s2bm_ard_3-2-1_51HUE_2020-04-27_final.stac-item
2020-05-13 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2020-05-13_final.stac-item
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-06-28_final.stac-item
2020-07-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-02_final.stac-item
2020-07-09 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-07-09_final.stac-item
2020-07-13 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2020-07-13_final.stac-item
2020-08-14 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2020-08-14_final.stac-item
2020-08-24 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-24_final.stac-item
2020-08-28 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2020-08-28_final.stac-item
2020-09-09 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-09_final.stac-item
2021-01-01 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-01-01_final.stac-item
2021-01-18 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-01-18_final.stac-item
2021-01-25 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-01-25_final.stac-item
2021-02-13 12:05:32	ga_s2bm_ard_3-2-1_50JKP_2021-02-13_final.stac-item
2021-02-23 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-02-23_final.stac-item
2021-03-25 12:04:07	ga_s2bm_ard_3-2-1_49KHQ_2021-03-25_final.stac-item
2021-03-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-03-29_final.stac-item
2021-04-02 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2021-04-02_final.stac-item
2021-04-28 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-04-28_final.stac-item
2021-05-02 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2021-05-02_final.stac-item
2021-05-18 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-05-18_final.stac-item
2021-06-21 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-06-21_final.stac-item
2021-06-24 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-06-24_final.stac-item
2021-07-14 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2021-07-14_final.stac-item
2021-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-30_final.stac-item
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-08-02_final.stac-item
2021-08-03 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-03_final.stac-item
2021-09-15 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-09-15_final.stac-item
2021-10-02 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-10-02_final.stac-item
2021-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-10-08_final.stac-item
2021-10-22 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-22_final.stac-item
2021-10-25 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2021-10-25_final.stac-item
2021-11-04 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-11-04_final.stac-item
2021-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2021-11-18_final.stac-item
2021-11-20 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-11-20_final.stac-item
2021-11-28 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2021-11-28_final.stac-item
2022-01-27 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-01-27_final.stac-item
2022-02-25 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2022-02-25_final.stac-item
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final.stac-item
2022-03-14 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2022-03-14_final.stac-item
2022-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-14_final.stac-item
2022-03-23 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-03-23_final.stac-item
2022-03-28 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2022-03-28_final.stac-item
2022-04-16 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2022-04-16_final.stac-item
2022-04-30 11:36:51	ga_s2bm_ard_3-2-1_51HUC_2022-04-30_final.stac-item
2022-05-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-05-17_final.stac-item
2022-05-20 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2022-05-20_final.stac-item
2022-05-27 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-05-27_final.stac-item
2022-05-27 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2022-05-27_final.stac-item
2022-05-29 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-05-29_final.stac-item
2022-05-30 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-05-30_final.stac-item
2022-06-05 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-06-05_final.stac-item
2022-07-01 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-01_final.stac-item
2022-07-19 11:34:30	ga_s2bm_ard_3-2-1_51JWN_2022-07-19_final.stac-item
2022-09-03 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2022-09-03_final.stac-item
2022-11-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2022-11-06_final.stac-item
2022-11-19 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-19_final.stac-item
2022-12-05 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2022-12-05_final.stac-item
2022-12-08 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-12-08_final.stac-item
2022-12-19 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-12-19_final.stac-item
2022-12-26 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-12-26_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final
2023-04-05 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2023-04-05_final
2023-04-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-04-08_final
2023-07-16 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-07-16_final
2023-08-29 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-08-29_final
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final
2024-02-19 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2024-02-19_final
2024-03-30 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2024-03-30_final
2024-04-13 12:51:00	ga_s2bm_ard_3-2-1_48LWP_2024-04-13_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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