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
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53KPP_2017-09-25_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KCA_2017-12-09_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVT_2017-12-12_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KBV_2017-12-19_final.stac-item
2017-12-20 10:47:12	ga_s2bm_ard_3-2-1_53LPE_2017-12-20_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KDA_2017-12-26_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQH_2018-03-02_final.stac-item
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53JQN_2018-04-03_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_53JRM_2018-04-20_final.stac-item
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JQN_2018-06-22_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JRM_2018-08-31_final.stac-item
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNN_2018-09-03_final.stac-item
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JNM_2018-09-20_final.stac-item
2018-11-07 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-07_final.stac-item
2018-11-12 10:44:00	ga_s2bm_ard_3-2-1_53JPN_2018-11-12_final.stac-item
2018-11-24 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2018-11-24_final.stac-item
2018-11-24 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2018-11-24_final.stac-item
2018-11-27 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2018-11-27_final.stac-item
2018-12-09 10:33:43	ga_s2bm_ard_3-2-1_53KQP_2018-12-09_final.stac-item
2018-12-17 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-17_final.stac-item
2018-12-21 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2018-12-21_final.stac-item
2018-12-21 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2018-12-21_final.stac-item
2018-12-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-12-24_final.stac-item
2018-12-27 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-12-27_final.stac-item
2019-01-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2019-01-06_final.stac-item
2019-01-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2019-01-06_final.stac-item
2019-01-09 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-01-09_final.stac-item
2019-01-13 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-01-13_final.stac-item
2019-01-13 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2019-01-13_final.stac-item
2019-01-16 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-01-16_final.stac-item
2019-01-26 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-01-26_final.stac-item
2019-02-07 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2019-02-07_final.stac-item
2019-03-23 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2019-03-23_final.stac-item
2019-04-18 10:33:55	ga_s2bm_ard_3-2-1_53KQP_2019-04-18_final.stac-item
2019-07-04 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2019-07-04_final.stac-item
2019-07-05 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-05_final.stac-item
2019-07-17 10:34:08	ga_s2bm_ard_3-2-1_53JRN_2019-07-17_final.stac-item
2019-07-17 10:34:34	ga_s2bm_ard_3-2-1_53JNM_2019-07-17_final.stac-item
2019-07-27 10:34:41	ga_s2bm_ard_3-2-1_53JQL_2019-07-27_final.stac-item
2019-08-31 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2019-08-31_final.stac-item
2019-09-05 10:33:55	ga_s2bm_ard_3-2-1_53KPP_2019-09-05_final.stac-item
2019-11-12 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2019-11-12_final.stac-item
2019-12-17 10:44:01	ga_s2bm_ard_3-2-1_53JNN_2019-12-17_final.stac-item
2019-12-22 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-22_final.stac-item
2019-12-24 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2019-12-24_final.stac-item
2020-01-13 10:34:08	ga_s2bm_ard_3-2-1_53JRM_2020-01-13_final.stac-item
2020-01-14 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2020-01-14_final.stac-item
2020-01-20 10:24:12	ga_s2bm_ard_3-2-1_53JRM_2020-01-20_final.stac-item
2020-01-24 11:43:05	ga_s2bm_ard_3-2-1_51KUT_2020-01-24_final.stac-item
2020-02-15 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2020-02-15_final.stac-item
2020-04-29 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2020-04-29_final.stac-item
2020-06-21 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-06-21_final.stac-item
2020-07-31 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2020-07-31_final.stac-item
2020-08-14 10:17:29	ga_s2bm_ard_3-2-1_54HVD_2020-08-14_final.stac-item
2020-08-20 10:34:36	ga_s2bm_ard_3-2-1_53JQL_2020-08-20_final.stac-item
2020-09-22 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-09-22_final.stac-item
2020-11-06 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-11-06_final.stac-item
2020-11-09 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-11-09_final.stac-item
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final.stac-item
2020-12-21 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2020-12-21_final.stac-item
2020-12-26 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2020-12-26_final.stac-item
2021-01-05 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-01-05_final.stac-item
2021-01-10 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2021-01-10_final.stac-item
2021-02-11 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-02-11_final.stac-item
2021-02-11 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2021-02-11_final.stac-item
2021-04-27 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2021-04-27_final.stac-item
2021-05-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-05-19_final
2021-06-07 10:07:16	ga_s2bm_ard_3-2-1_54HVE_2021-06-07_final.stac-item
2021-06-26 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-06-26_final.stac-item
2021-09-01 10:24:37	ga_s2bm_ard_3-2-1_53JQL_2021-09-01_final.stac-item
2021-10-10 10:53:50	ga_s2bm_ard_3-2-1_53KMP_2021-10-10_final.stac-item
2021-10-22 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-10-22_final.stac-item
2021-12-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-04_final.stac-item
2021-12-13 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2021-12-13_final.stac-item
2021-12-19 10:50:15	ga_s2bm_ard_3-2-1_53LPH_2021-12-19_final
2022-02-09 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2022-02-09_final.stac-item
2022-02-22 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-22_final.stac-item
2022-03-23 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2022-03-23_final.stac-item
2022-04-12 10:33:42	ga_s2bm_ard_3-2-1_53KRP_2022-04-12_final.stac-item
2022-07-08 10:26:37	ga_s2bm_ard_3-2-1_53HQC_2022-07-08_final.stac-item
2022-07-18 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2022-07-18_final.stac-item
2022-07-21 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2022-07-21_final.stac-item
2022-07-31 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2022-07-31_final.stac-item
2022-09-12 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2022-09-12_final.stac-item
2022-10-22 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2022-10-22_final.stac-item
2022-12-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-12-26_final.stac-item
2022-12-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2022-12-26_final.stac-item
2023-01-16 11:00:40	ga_s2bm_ard_3-2-1_53LKG_2023-01-16_final.stac-item
2023-02-09 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2023-02-09_final.stac-item
2023-02-27 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-02-27_final
2023-03-09 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-03-09_final
2023-07-19 10:44:12	ga_s2bm_ard_3-2-1_53JNN_2023-07-19_final
2023-08-25 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-08-25_final
2023-09-14 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2023-09-14_final
2023-11-23 10:31:45	ga_s2bm_ard_3-2-1_53KRB_2023-11-23_final
2023-12-03 10:33:46	ga_s2bm_ard_3-2-1_53KQP_2023-12-03_final
2024-01-12 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2024-01-12_final
2024-01-22 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2024-01-22_final
2024-02-09 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2024-02-09_final
2024-02-17 10:51:01	ga_s2bm_ard_3-2-1_53LLF_2024-02-17_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

All years