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_50KKA_2017-08-26_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51JUN_2017-11-02_final.stac-item
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51HXD_2017-11-06_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-11-24_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50JPL_2017-12-22_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KYB_2018-01-08_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLN_2018-01-27_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KNC_2018-01-30_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVB_2018-02-03_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUS_2018-04-14_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HXD_2018-04-18_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUV_2018-05-24_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQJ_2018-05-31_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_51KUS_2018-06-13_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMK_2018-08-02_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMJ_2018-09-14_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-14_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JKN_2018-10-04_final.stac-item
2018-12-06 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2018-12-06_final.stac-item
2019-03-21 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2019-03-21_final.stac-item
2019-04-15 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2019-04-15_final.stac-item
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2019-08-23_final.stac-item
2019-09-05 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2019-09-05_final.stac-item
2019-10-20 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2019-10-20_final.stac-item
2019-11-02 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-02_final.stac-item
2019-11-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-11-05_final.stac-item
2019-11-05 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-11-05_final.stac-item
2019-11-08 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2019-11-08_final.stac-item
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final.stac-item
2019-11-25 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2019-11-25_final.stac-item
2019-12-06 11:15:01	ga_s2bm_ard_3-2-1_52JBQ_2019-12-06_final.stac-item
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final.stac-item
2019-12-21 12:04:20	ga_s2bm_ard_3-2-1_50KLU_2019-12-21_final.stac-item
2020-01-18 11:21:19	ga_s2bm_ard_3-2-1_51LZE_2020-01-18_final.stac-item
2020-02-19 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-02-19_final.stac-item
2020-03-21 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2020-03-21_final.stac-item
2020-03-31 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2020-03-31_final.stac-item
2020-04-17 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2020-04-17_final.stac-item
2020-05-13 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2020-05-13_final.stac-item
2020-05-13 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2020-05-13_final.stac-item
2020-06-12 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2020-06-12_final.stac-item
2020-07-03 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2020-07-03_final.stac-item
2020-07-08 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2020-07-08_final.stac-item
2020-08-02 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-08-02_final.stac-item
2020-08-08 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2020-08-08_final.stac-item
2020-08-15 11:21:29	ga_s2bm_ard_3-2-1_51LZE_2020-08-15_final.stac-item
2020-08-18 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-08-18_final.stac-item
2020-08-26 10:55:34	ga_s2bm_ard_3-2-1_52JFN_2020-08-26_final.stac-item
2020-09-22 10:46:02	ga_s2bm_ard_3-2-1_52JGL_2020-09-22_final.stac-item
2020-10-10 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2020-10-10_final.stac-item
2020-10-27 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-27_final.stac-item
2020-10-30 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2020-10-30_final.stac-item
2020-12-16 11:35:15	ga_s2bm_ard_3-2-1_51JWJ_2020-12-16_final.stac-item
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final.stac-item
2021-01-15 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2021-01-15_final.stac-item
2021-02-20 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-02-20_final.stac-item
2021-03-13 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-03-13_final.stac-item
2021-03-15 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-03-15_final.stac-item
2021-04-14 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-04-14_final.stac-item
2021-05-15 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-05-15_final.stac-item
2021-07-04 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-07-04_final.stac-item
2021-07-18 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-07-18_final.stac-item
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2021-07-23_final.stac-item
2021-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2021-09-02_final.stac-item
2021-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-10-05_final.stac-item
2021-12-17 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2021-12-17_final.stac-item
2021-12-21 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2021-12-21_final.stac-item
2021-12-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-12-27_final.stac-item
2022-01-19 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-19_final.stac-item
2022-01-30 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2022-01-30_final.stac-item
2022-02-06 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2022-02-06_final.stac-item
2022-02-25 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-02-25_final.stac-item
2022-03-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2022-03-14_final.stac-item
2022-03-18 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2022-03-18_final.stac-item
2022-03-30 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-03-30_final.stac-item
2022-04-27 11:23:03	ga_s2bm_ard_3-2-1_51KYT_2022-04-27_final.stac-item
2022-05-20 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-05-20_final.stac-item
2022-05-27 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2022-05-27_final.stac-item
2022-08-30 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2022-08-30_final.stac-item
2023-01-15 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2023-01-15_final.stac-item
2023-02-03 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-03_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final
2023-03-28 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-03-28_final
2023-05-19 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-05-19_final
2023-06-04 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-06-04_final
2023-06-07 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-06-07_final
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final
2023-08-16 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2023-08-16_final
2023-09-12 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-09-12_final
2023-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-22_final
2023-11-20 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-11-20_final
2023-12-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-12-13_final
2023-12-15 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2023-12-15_final
2024-01-10 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2024-01-10_final
2024-03-07 11:22:36	ga_s2bm_ard_3-2-1_51KYV_2024-03-07_final
2024-03-17 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2024-03-17_final
2024-04-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-04-12_final
2024-04-22 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-04-22_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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