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
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53HPB_2017-08-16_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HVE_2017-08-21_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KGQ_2017-09-22_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMK_2017-10-26_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JWL_2018-01-31_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCQ_2018-02-01_final.stac-item
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JNN_2018-02-12_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLQ_2018-04-27_final.stac-item
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52LHM_2018-06-24_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KVS_2018-07-20_final.stac-item
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNN_2018-08-14_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JRM_2018-08-21_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNN_2018-09-03_final.stac-item
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53HNB_2018-10-10_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEB_2018-11-01_final.stac-item
2019-01-27 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2019-01-27_final.stac-item
2019-01-29 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2019-01-29_final.stac-item
2019-03-30 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2019-03-30_final.stac-item
2019-04-13 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2019-04-13_final.stac-item
2019-10-15 10:31:47	ga_s2bm_ard_3-2-1_54KUG_2019-10-15_final.stac-item
2019-12-14 10:35:10	ga_s2bm_ard_3-2-1_53JMJ_2019-12-14_final.stac-item
2019-12-30 10:52:46	ga_s2bm_ard_3-2-1_52KHD_2019-12-30_final.stac-item
2020-01-31 09:57:58	ga_s2bm_ard_3-2-1_54GYA_2020-01-31_final.stac-item
2020-02-29 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-02-29_final.stac-item
2020-03-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-01_final.stac-item
2020-04-10 11:31:26	ga_s2bm_ard_3-2-1_52LBJ_2020-04-10_final.stac-item
2020-05-20 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-05-20_final.stac-item
2020-06-12 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-06-12_final.stac-item
2020-07-11 10:36:37	ga_s2bm_ard_3-2-1_53HNC_2020-07-11_final.stac-item
2020-07-15 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2020-07-15_final.stac-item
2020-08-07 10:25:27	ga_s2bm_ard_3-2-1_54JVM_2020-08-07_final.stac-item
2020-08-11 11:42:02	ga_s2bm_ard_3-2-1_51LVC_2020-08-11_final.stac-item
2020-08-12 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-08-12_final.stac-item
2020-08-28 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2020-08-28_final.stac-item
2020-10-04 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2020-10-04_final.stac-item
2020-12-03 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2020-12-03_final.stac-item
2020-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final.stac-item
2020-12-13 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2020-12-13_final.stac-item
2021-01-02 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-01-02_final.stac-item
2021-02-01 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-02-01_final.stac-item
2021-02-03 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2021-02-03_final.stac-item
2021-02-09 10:43:25	ga_s2bm_ard_3-2-1_53KNR_2021-02-09_final.stac-item
2021-02-19 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2021-02-19_final.stac-item
2021-03-20 11:12:23	ga_s2bm_ard_3-2-1_52KCF_2021-03-20_final.stac-item
2021-03-23 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-23_final.stac-item
2021-05-14 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-05-14_final.stac-item
2021-05-15 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-05-15_final.stac-item
2021-06-16 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2021-06-16_final.stac-item
2021-06-21 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2021-06-21_final.stac-item
2021-09-24 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2021-09-24_final.stac-item
2021-11-09 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2021-11-09_final.stac-item
2021-11-13 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2021-11-13_final.stac-item
2021-12-21 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-21_final.stac-item
2022-01-02 10:33:56	ga_s2bm_ard_3-2-1_54JTT_2022-01-02_final.stac-item
2022-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-01-07_final.stac-item
2022-02-01 10:33:57	ga_s2bm_ard_3-2-1_53JPN_2022-02-01_final.stac-item
2022-03-16 10:45:38	ga_s2bm_ard_3-2-1_53JLG_2022-03-16_final.stac-item
2022-03-31 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-03-31_final.stac-item
2022-04-14 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2022-04-14_final.stac-item
2022-04-17 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-04-17_final.stac-item
2022-04-22 10:34:33	ga_s2bm_ard_3-2-1_53JPL_2022-04-22_final.stac-item
2022-04-25 10:41:39	ga_s2bm_ard_3-2-1_53KRB_2022-04-25_final.stac-item
2022-04-30 11:33:06	ga_s2bm_ard_3-2-1_51KWT_2022-04-30_final.stac-item
2022-05-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-05-29_final.stac-item
2022-05-30 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2022-05-30_final.stac-item
2022-05-30 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2022-05-30_final.stac-item
2022-06-30 11:01:17	ga_s2bm_ard_3-2-1_53LKE_2022-06-30_final.stac-item
2022-07-08 10:25:40	ga_s2bm_ard_3-2-1_54JVL_2022-07-08_final.stac-item
2022-07-16 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2022-07-16_final.stac-item
2022-07-22 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-07-22_final.stac-item
2022-07-24 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2022-07-24_final.stac-item
2022-08-18 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2022-08-18_final.stac-item
2022-09-10 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2022-09-10_final.stac-item
2022-09-28 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2022-09-28_final.stac-item
2022-10-11 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2022-10-11_final.stac-item
2022-10-13 10:15:39	ga_s2bm_ard_3-2-1_54JWL_2022-10-13_final.stac-item
2022-12-17 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2022-12-17_final.stac-item
2022-12-28 10:33:45	ga_s2bm_ard_3-2-1_54KTU_2022-12-28_final.stac-item
2023-01-31 10:14:11	ga_s2bm_ard_3-2-1_54JWS_2023-01-31_final.stac-item
2023-02-16 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-02-16_nrt.stac-item
2023-03-01 10:41:50	ga_s2bm_ard_3-2-1_53KQB_2023-03-01_final
2023-03-05 10:21:43	ga_s2bm_ard_3-2-1_54KXG_2023-03-05_final
2023-03-25 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-25_final
2023-03-28 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-03-28_final
2023-04-12 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-04-12_final
2023-04-13 10:53:37	ga_s2bm_ard_3-2-1_53KMQ_2023-04-13_final
2023-04-27 10:32:44	ga_s2bm_ard_3-2-1_54KTC_2023-04-27_final
2023-08-04 11:06:28	ga_s2bm_ard_3-2-1_52HBK_2023-08-04_final
2023-08-19 10:17:05	ga_s2bm_ard_3-2-1_54HUF_2023-08-19_final
2023-08-20 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-08-20_final
2023-08-23 11:34:40	ga_s2bm_ard_3-2-1_51JTN_2023-08-23_final
2023-10-22 09:56:47	ga_s2bm_ard_3-2-1_54HXG_2023-10-22_final
2023-11-12 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2023-11-12_final
2023-12-01 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2023-12-01_final
2023-12-08 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-12-08_final
2023-12-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-12-24_final
2023-12-31 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-12-31_final
2024-03-01 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2024-03-01_final
2024-03-25 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2024-03-25_final
2024-03-27 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2024-03-27_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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