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
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53KPP_2017-07-27_final.stac-item
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53HME_2017-08-16_final.stac-item
2017-10-10 09:45:45	ga_s2bm_ard_3-2-1_54GYA_2017-10-10_final.stac-item
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HNC_2017-10-12_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPN_2017-11-04_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54HTJ_2017-11-28_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUL_2018-02-20_final.stac-item
2018-03-26 11:07:07	ga_s2bm_ard_3-2-1_52LFL_2018-03-26_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KEB_2018-05-05_final.stac-item
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_53HNC_2018-05-10_final.stac-item
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_54JVM_2018-10-27_final.stac-item
2018-12-04 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2018-12-04_final.stac-item
2018-12-29 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2018-12-29_final.stac-item
2019-01-18 10:33:49	ga_s2bm_ard_3-2-1_53KQP_2019-01-18_final.stac-item
2019-01-31 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2019-01-31_final.stac-item
2019-03-29 10:32:24	ga_s2bm_ard_3-2-1_53KQV_2019-03-29_final.stac-item
2019-04-01 10:41:44	ga_s2bm_ard_3-2-1_53LNC_2019-04-01_final.stac-item
2019-04-15 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2019-04-15_final.stac-item
2019-05-02 10:14:39	ga_s2bm_ard_3-2-1_54JVR_2019-05-02_final.stac-item
2019-06-12 11:23:35	ga_s2bm_ard_3-2-1_51KXS_2019-06-12_final.stac-item
2019-08-06 10:34:21	ga_s2bm_ard_3-2-1_53JNN_2019-08-06_final.stac-item
2019-09-06 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2019-09-06_final.stac-item
2019-11-14 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2019-11-14_final.stac-item
2019-12-02 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2019-12-02_final.stac-item
2019-12-14 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2019-12-14_final.stac-item
2019-12-22 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2019-12-22_final.stac-item
2019-12-22 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2019-12-22_final.stac-item
2020-01-05 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2020-01-05_final.stac-item
2020-01-08 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2020-01-08_final.stac-item
2020-02-03 10:06:54	ga_s2bm_ard_3-2-1_54HVF_2020-02-03_final.stac-item
2020-02-16 10:16:56	ga_s2bm_ard_3-2-1_54HUF_2020-02-16_final.stac-item
2020-04-10 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-04-10_final.stac-item
2020-04-17 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2020-04-17_final.stac-item
2020-05-23 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2020-05-23_final.stac-item
2020-07-08 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-07-08_final.stac-item
2020-08-15 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-08-15_final.stac-item
2020-08-21 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2020-08-21_final.stac-item
2020-08-30 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-08-30_final.stac-item
2020-10-04 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2020-10-04_final.stac-item
2020-10-23 10:16:34	ga_s2bm_ard_3-2-1_54HUH_2020-10-23_final.stac-item
2020-10-30 10:07:33	ga_s2bm_ard_3-2-1_54HVD_2020-10-30_final.stac-item
2020-11-15 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2020-11-15_final.stac-item
2020-11-23 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2020-11-23_final.stac-item
2021-01-05 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2021-01-05_final.stac-item
2021-01-11 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2021-01-11_final.stac-item
2021-01-15 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2021-01-15_final.stac-item
2021-02-07 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-02-07_final.stac-item
2021-02-14 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-02-14_final.stac-item
2021-03-22 10:17:02	ga_s2bm_ard_3-2-1_54HWE_2021-03-22_final.stac-item
2021-04-02 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2021-04-02_final.stac-item
2021-04-26 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2021-04-26_final.stac-item
2021-05-22 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2021-05-22_final.stac-item
2021-06-16 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2021-06-16_final.stac-item
2021-06-25 11:02:59	ga_s2bm_ard_3-2-1_52KGC_2021-06-25_final.stac-item
2021-07-31 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-07-31_final.stac-item
2021-08-02 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2021-08-02_final.stac-item
2021-08-10 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2021-08-10_final.stac-item
2021-09-12 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-09-12_final.stac-item
2021-09-12 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-09-12_final.stac-item
2021-10-05 10:07:44	ga_s2bm_ard_3-2-1_54HVC_2021-10-05_final
2021-10-24 10:34:01	ga_s2bm_ard_3-2-1_54JTT_2021-10-24_final.stac-item
2021-12-21 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-12-21_final.stac-item
2022-01-12 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2022-01-12_final.stac-item
2022-02-17 10:55:47	ga_s2bm_ard_3-2-1_53JKF_2022-02-17_final.stac-item
2022-04-09 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-04-09_final.stac-item
2022-04-14 11:16:04	ga_s2bm_ard_3-2-1_51JYF_2022-04-14_final.stac-item
2022-04-23 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-04-23_final.stac-item
2022-04-25 10:45:05	ga_s2bm_ard_3-2-1_53JLJ_2022-04-25_final.stac-item
2022-05-19 10:26:50	ga_s2bm_ard_3-2-1_54HUF_2022-05-19_final.stac-item
2022-05-29 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2022-05-29_final.stac-item
2022-07-14 10:43:52	ga_s2bm_ard_3-2-1_53KPP_2022-07-14_final.stac-item
2022-07-19 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-19_final.stac-item
2022-09-04 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2022-09-04_final.stac-item
2022-09-27 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-09-27_final.stac-item
2022-11-16 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2022-11-16_final.stac-item
2022-11-17 11:02:33	ga_s2bm_ard_3-2-1_52KFE_2022-11-17_final.stac-item
2023-01-27 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2023-01-27_final.stac-item
2023-02-13 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-02-13_final
2023-03-12 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-03-12_final
2023-03-31 10:43:58	ga_s2bm_ard_3-2-1_53KMP_2023-03-31_final
2023-04-02 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-04-02_final
2023-04-17 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2023-04-17_final
2023-05-12 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-05-12_final
2023-05-27 10:34:18	ga_s2bm_ard_3-2-1_53JNN_2023-05-27_final
2023-06-03 10:26:36	ga_s2bm_ard_3-2-1_53HQC_2023-06-03_final
2023-06-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-06-11_final
2023-06-29 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2023-06-29_final
2023-07-14 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-07-14_final
2023-07-21 11:23:13	ga_s2bm_ard_3-2-1_51KZT_2023-07-21_final
2023-09-15 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2023-09-15_final
2023-11-09 10:53:51	ga_s2bm_ard_3-2-1_53KMP_2023-11-09_final
2023-11-30 10:26:04	ga_s2bm_ard_3-2-1_54HTK_2023-11-30_final
2023-12-21 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-12-21_final
2024-01-07 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2024-01-07_final
2024-01-18 10:52:30	ga_s2bm_ard_3-2-1_52KHE_2024-01-18_final
2024-02-09 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2024-02-09_final
2024-03-03 10:04:29	ga_s2bm_ard_3-2-1_54JXR_2024-03-03_final
2024-04-06 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-04-06_final
2024-04-16 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2024-04-16_final
2024-05-11 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2024-05-11_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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