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
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_53HQB_2017-07-14_final.stac-item
2017-08-03 12:03:47	ga_s2bm_ard_3-2-1_50KKA_2017-08-03_final.stac-item
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51KXQ_2017-09-10_final.stac-item
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53JQJ_2017-09-25_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KEB_2017-09-27_final.stac-item
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KQT_2017-10-28_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2017-11-01_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53KRB_2017-11-14_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXR_2017-11-19_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JUN_2017-12-05_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JNL_2017-12-08_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZR_2017-12-09_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-12-11_final.stac-item
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JMN_2017-12-27_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUV_2018-01-04_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUV_2018-01-24_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWT_2018-02-20_final.stac-item
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51LUF_2018-06-13_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52LGK_2018-09-19_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWU_2018-10-08_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKP_2018-10-17_final.stac-item
2018-11-10 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2018-11-10_final.stac-item
2018-11-22 10:42:21	ga_s2bm_ard_3-2-1_53KNV_2018-11-22_final.stac-item
2018-12-18 11:00:39	ga_s2bm_ard_3-2-1_52LHM_2018-12-18_final.stac-item
2019-01-16 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2019-01-16_final.stac-item
2019-02-05 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-02-05_final.stac-item
2019-02-28 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2019-02-28_final.stac-item
2019-05-09 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2019-05-09_final.stac-item
2019-06-19 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-06-19_final.stac-item
2019-06-24 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-06-24_final.stac-item
2019-07-19 11:14:03	ga_s2bm_ard_3-2-1_52KBV_2019-07-19_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final.stac-item
2019-09-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2019-09-20_final.stac-item
2019-09-22 10:25:05	ga_s2bm_ard_3-2-1_53JQJ_2019-09-22_final.stac-item
2019-10-14 11:05:56	ga_s2bm_ard_3-2-1_52JDM_2019-10-14_final.stac-item
2019-11-25 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2019-11-25_final.stac-item
2020-01-25 11:10:36	ga_s2bm_ard_3-2-1_52LGM_2020-01-25_final.stac-item
2020-01-29 10:54:01	ga_s2bm_ard_3-2-1_53JLN_2020-01-29_final.stac-item
2020-03-23 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2020-03-23_final.stac-item
2020-05-24 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2020-05-24_final.stac-item
2020-06-15 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2020-06-15_final
2020-06-23 11:13:32	ga_s2bm_ard_3-2-1_52KEA_2020-06-23_final.stac-item
2020-07-03 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2020-07-03_final.stac-item
2020-07-18 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2020-07-18_final.stac-item
2020-08-01 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-01_final.stac-item
2020-08-17 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2020-08-17_final.stac-item
2020-08-20 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2020-08-20_final.stac-item
2020-09-06 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2020-09-06_final.stac-item
2020-09-18 11:00:45	ga_s2bm_ard_3-2-1_53LKG_2020-09-18_final.stac-item
2020-09-21 11:11:03	ga_s2bm_ard_3-2-1_52LFL_2020-09-21_final.stac-item
2021-02-05 11:00:25	ga_s2bm_ard_3-2-1_53LLH_2021-02-05_final
2021-02-18 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2021-02-18_final.stac-item
2021-03-05 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-03-05_final.stac-item
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final.stac-item
2021-04-22 11:23:59	ga_s2bm_ard_3-2-1_52KBU_2021-04-22_final.stac-item
2021-05-05 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2021-05-05_final.stac-item
2021-06-21 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-21_final
2021-06-24 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2021-06-24_final.stac-item
2021-06-27 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-06-27_final.stac-item
2021-07-03 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2021-07-03_final.stac-item
2021-07-26 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2021-07-26_final.stac-item
2021-07-31 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2021-07-31_final.stac-item
2021-09-09 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2021-09-09_final.stac-item
2021-10-19 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2021-10-19_final.stac-item
2021-11-18 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2021-11-18_final.stac-item
2021-12-22 11:00:25	ga_s2bm_ard_3-2-1_52LHN_2021-12-22_final.stac-item
2022-01-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-01-23_final.stac-item
2022-03-05 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2022-03-05_final.stac-item
2022-04-03 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-04-03_final.stac-item
2022-04-22 10:31:45	ga_s2bm_ard_3-2-1_53KRB_2022-04-22_final.stac-item
2022-05-04 11:16:15	ga_s2bm_ard_3-2-1_52HBK_2022-05-04_final.stac-item
2022-07-18 10:26:58	ga_s2bm_ard_3-2-1_53HNB_2022-07-18_final.stac-item
2022-08-12 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2022-08-12_final.stac-item
2022-11-17 11:00:36	ga_s2bm_ard_3-2-1_53LMG_2022-11-17_final.stac-item
2022-11-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-11-19_final.stac-item
2022-11-21 10:43:08	ga_s2bm_ard_3-2-1_53KNS_2022-11-21_final.stac-item
2022-12-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-12-26_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-29 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-29_final.stac-item
2023-02-01 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2023-02-01_final
2023-02-04 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-02-04_final.stac-item
2023-02-18 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2023-02-18_final
2023-03-05 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2023-03-05_final
2023-03-26 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-03-26_final
2023-04-03 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2023-04-03_final
2023-06-14 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-06-14_final
2023-07-16 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2023-07-16_final
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final
2023-09-18 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2023-09-18_final
2023-09-25 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-09-25_final
2023-10-02 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-10-02_final
2023-12-18 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2023-12-18_final
2023-12-21 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-12-21_final
2024-01-10 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2024-01-10_final
2024-01-20 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2024-01-20_final
2024-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2024-01-20_final
2024-03-05 10:42:08	ga_s2bm_ard_3-2-1_53KRV_2024-03-05_final
2024-03-05 10:42:20	ga_s2bm_ard_3-2-1_53KNV_2024-03-05_final
2024-03-29 12:04:31	ga_s2bm_ard_3-2-1_50KLU_2024-03-29_final
2024-04-12 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2024-04-12_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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