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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-09-22_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JKM_2017-11-08_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53HNC_2017-11-11_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final.stac-item
2017-12-08 10:16:45	ga_s2bm_ard_3-2-1_54HVF_2017-12-08_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53JKF_2017-12-10_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KDU_2018-02-01_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKU_2018-03-01_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JUR_2018-03-21_final.stac-item
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KHA_2018-04-12_final.stac-item
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JRN_2018-04-23_final.stac-item
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KXT_2018-06-30_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KXV_2018-07-10_final.stac-item
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KVC_2018-07-29_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51LVC_2018-09-21_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51LWC_2018-10-11_final.stac-item
2018-11-10 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2018-11-10_final.stac-item
2019-01-26 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2019-01-26_final.stac-item
2019-03-08 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2019-03-08_final.stac-item
2019-03-14 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2019-03-14_final.stac-item
2019-03-21 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2019-03-21_final.stac-item
2019-05-12 10:17:01	ga_s2bm_ard_3-2-1_54HWF_2019-05-12_final.stac-item
2019-05-15 10:26:49	ga_s2bm_ard_3-2-1_53HNC_2019-05-15_final.stac-item
2019-08-04 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-08-04_final.stac-item
2019-08-31 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2019-08-31_final.stac-item
2019-09-27 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2019-09-27_final.stac-item
2019-10-20 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2019-10-20_final.stac-item
2019-12-21 10:26:54	ga_s2bm_ard_3-2-1_54HTF_2019-12-21_final.stac-item
2019-12-28 10:16:12	ga_s2bm_ard_3-2-1_54HUJ_2019-12-28_final.stac-item
2020-01-04 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2020-01-04_final.stac-item
2020-01-08 11:21:35	ga_s2bm_ard_3-2-1_51LZD_2020-01-08_final.stac-item
2020-01-08 11:22:03	ga_s2bm_ard_3-2-1_52KBG_2020-01-08_final.stac-item
2020-02-16 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2020-02-16_final.stac-item
2020-02-24 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-02-24_final.stac-item
2020-03-10 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2020-03-10_final.stac-item
2020-04-02 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2020-04-02_final.stac-item
2020-04-07 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2020-04-07_final.stac-item
2020-05-01 11:05:04	ga_s2bm_ard_3-2-1_52JCQ_2020-05-01_final.stac-item
2020-06-26 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2020-06-26_final.stac-item
2020-06-27 10:51:10	ga_s2bm_ard_3-2-1_53LNE_2020-06-27_final.stac-item
2020-07-02 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-07-02_final.stac-item
2020-07-05 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-07-05_final.stac-item
2020-08-07 10:24:34	ga_s2bm_ard_3-2-1_54JUR_2020-08-07_final.stac-item
2020-09-07 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2020-09-07_final.stac-item
2020-09-22 10:42:48	ga_s2bm_ard_3-2-1_53KMU_2020-09-22_final.stac-item
2020-09-26 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2020-09-26_final.stac-item
2020-10-18 11:03:38	ga_s2bm_ard_3-2-1_52KEA_2020-10-18_final.stac-item
2020-11-02 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-11-02_final.stac-item
2020-11-16 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2020-11-16_final.stac-item
2020-12-23 11:22:14	ga_s2bm_ard_3-2-1_51KZA_2020-12-23_final.stac-item
2021-01-05 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-01-05_final.stac-item
2021-02-09 10:43:13	ga_s2bm_ard_3-2-1_53KQR_2021-02-09_final.stac-item
2021-02-14 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2021-02-14_final.stac-item
2021-02-22 10:52:23	ga_s2bm_ard_3-2-1_53KNV_2021-02-22_final.stac-item
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2021-02-26_final.stac-item
2021-03-05 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-03-05_final.stac-item
2021-03-21 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2021-03-21_final.stac-item
2021-04-12 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2021-04-12_final.stac-item
2021-06-06 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-06-06_final.stac-item
2021-06-26 10:36:17	ga_s2bm_ard_3-2-1_53HLE_2021-06-26_final.stac-item
2021-08-30 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2021-08-30_final.stac-item
2021-09-04 10:33:37	ga_s2bm_ard_3-2-1_54KUU_2021-09-04_final.stac-item
2021-09-11 10:24:15	ga_s2bm_ard_3-2-1_53JRM_2021-09-11_final.stac-item
2022-01-16 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2022-01-16_final.stac-item
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final.stac-item
2022-01-30 09:57:34	ga_s2bm_ard_3-2-1_54HXC_2022-01-30_final.stac-item
2022-01-30 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2022-01-30_final.stac-item
2022-01-31 11:00:34	ga_s2bm_ard_3-2-1_53LLG_2022-01-31_final.stac-item
2022-02-01 10:34:19	ga_s2bm_ard_3-2-1_53JNM_2022-02-01_final.stac-item
2022-02-21 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2022-02-21_final.stac-item
2022-03-05 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-03-05_final.stac-item
2022-03-13 10:31:48	ga_s2bm_ard_3-2-1_53KRB_2022-03-13_final
2022-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2022-03-15_final.stac-item
2022-04-12 10:35:12	ga_s2bm_ard_3-2-1_53JMJ_2022-04-12_final.stac-item
2022-06-30 11:06:11	ga_s2bm_ard_3-2-1_52JCL_2022-06-30_final.stac-item
2022-07-07 10:56:09	ga_s2bm_ard_3-2-1_52JEL_2022-07-07_final.stac-item
2022-07-19 09:56:01	ga_s2bm_ard_3-2-1_54HYK_2022-07-19_final.stac-item
2022-08-20 10:34:01	ga_s2bm_ard_3-2-1_54JTT_2022-08-20_final.stac-item
2022-08-31 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2022-08-31_final.stac-item
2022-09-20 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2022-09-20_final.stac-item
2022-10-30 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2022-10-30_final.stac-item
2022-11-20 11:11:39	ga_s2bm_ard_3-2-1_52LGH_2022-11-20_final.stac-item
2023-01-11 10:15:58	ga_s2bm_ard_3-2-1_54HUK_2023-01-11_final.stac-item
2023-01-17 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-01-17_final.stac-item
2023-01-17 10:32:16	ga_s2bm_ard_3-2-1_53KRV_2023-01-17_final.stac-item
2023-03-10 11:10:41	ga_s2bm_ard_3-2-1_52LHM_2023-03-10_final
2023-03-26 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2023-03-26_final
2023-03-27 11:04:38	ga_s2bm_ard_3-2-1_52JGR_2023-03-27_final
2023-03-28 10:35:00	ga_s2bm_ard_3-2-1_54JTP_2023-03-28_final
2023-04-09 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2023-04-09_final
2023-05-06 11:05:25	ga_s2bm_ard_3-2-1_52JCP_2023-05-06_final
2023-06-07 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-06-07_final
2023-07-05 11:03:25	ga_s2bm_ard_3-2-1_52KEB_2023-07-05_final
2023-07-23 10:26:46	ga_s2bm_ard_3-2-1_53HNC_2023-07-23_final
2023-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2023-10-08_final
2023-10-27 10:42:39	ga_s2bm_ard_3-2-1_53KPU_2023-10-27_final
2023-10-30 10:54:32	ga_s2bm_ard_3-2-1_53JLM_2023-10-30_final
2023-11-12 11:04:46	ga_s2bm_ard_3-2-1_52JDR_2023-11-12_final
2024-02-15 10:12:15	ga_s2bm_ard_3-2-1_54KXE_2024-02-15_final
2024-03-06 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2024-03-06_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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