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
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYP_2018-01-28_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KYU_2018-02-07_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_52KBB_2018-02-07_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2018-02-10_final.stac-item
2018-02-18 10:47:17	ga_s2bm_ard_3-2-1_53LMF_2018-02-18_final.stac-item
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52JGM_2018-02-25_final.stac-item
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LEJ_2018-03-06_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KUR_2018-04-01_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JNM_2018-05-03_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JWN_2018-05-31_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVQ_2018-05-31_final.stac-item
2018-06-29 10:26:13	ga_s2bm_ard_3-2-1_53HQC_2018-06-29_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-29_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51HUE_2018-09-05_final.stac-item
2019-02-07 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-02-07_final.stac-item
2019-03-13 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2019-03-13_final.stac-item
2019-03-19 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2019-03-19_final.stac-item
2019-05-07 11:03:35	ga_s2bm_ard_3-2-1_52KGA_2019-05-07_final.stac-item
2019-05-17 11:00:57	ga_s2bm_ard_3-2-1_53LMF_2019-05-17_final.stac-item
2019-05-18 10:34:45	ga_s2bm_ard_3-2-1_53JPL_2019-05-18_final.stac-item
2019-05-26 11:33:47	ga_s2bm_ard_3-2-1_51KXR_2019-05-26_final.stac-item
2019-06-06 11:03:02	ga_s2bm_ard_3-2-1_53KKT_2019-06-06_final.stac-item
2019-10-12 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2019-10-12_final.stac-item
2019-10-23 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2019-10-23_final.stac-item
2019-11-14 10:33:34	ga_s2bm_ard_3-2-1_53KQQ_2019-11-14_final.stac-item
2019-12-04 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2019-12-04_final.stac-item
2019-12-24 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2019-12-24_final.stac-item
2019-12-25 11:42:16	ga_s2bm_ard_3-2-1_51KWA_2019-12-25_final.stac-item
2020-01-20 10:26:40	ga_s2bm_ard_3-2-1_53HQB_2020-01-20_final.stac-item
2020-02-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-02-20_final.stac-item
2020-02-24 11:10:29	ga_s2bm_ard_3-2-1_52LFN_2020-02-24_final
2020-05-02 10:36:03	ga_s2bm_ard_3-2-1_53HNE_2020-05-02_final.stac-item
2020-05-21 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2020-05-21_final.stac-item
2020-05-27 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2020-05-27_final.stac-item
2020-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-12_final.stac-item
2020-07-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final.stac-item
2020-07-25 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2020-07-25_final.stac-item
2020-08-21 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2020-08-21_final.stac-item
2020-09-01 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-09-01_final.stac-item
2020-10-09 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-10-09_final.stac-item
2020-10-27 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-10-27_final.stac-item
2020-10-30 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2020-10-30_final.stac-item
2021-01-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-01-18_final.stac-item
2021-02-01 11:22:26	ga_s2bm_ard_3-2-1_51KYA_2021-02-01_final.stac-item
2021-02-13 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-02-13_final.stac-item
2021-05-02 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-05-02_final.stac-item
2021-06-10 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-10_final.stac-item
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final.stac-item
2021-07-16 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2021-07-16_final.stac-item
2021-07-26 10:36:34	ga_s2bm_ard_3-2-1_53HPC_2021-07-26_final.stac-item
2021-07-30 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2021-07-30_final.stac-item
2021-08-01 10:54:13	ga_s2bm_ard_3-2-1_52JHT_2021-08-01_final.stac-item
2021-09-26 11:10:45	ga_s2bm_ard_3-2-1_52LFM_2021-09-26_final
2021-10-21 10:27:06	ga_s2bm_ard_3-2-1_53HPA_2021-10-21_final.stac-item
2021-11-02 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2021-11-02_final.stac-item
2021-11-10 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2021-11-10_final.stac-item
2021-11-15 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2021-11-15_final.stac-item
2021-11-22 11:02:55	ga_s2bm_ard_3-2-1_52KGC_2021-11-22_final.stac-item
2021-12-03 10:34:56	ga_s2bm_ard_3-2-1_53JQJ_2021-12-03_final.stac-item
2022-01-05 10:43:48	ga_s2bm_ard_3-2-1_53KNP_2022-01-05_final.stac-item
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_52JBT_2022-02-03_final.stac-item
2022-02-15 11:54:27	ga_s2bm_ard_3-2-1_50JPT_2022-02-15_final.stac-item
2022-03-20 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-03-20_final.stac-item
2022-05-23 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2022-05-23_final.stac-item
2022-05-27 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2022-05-27_final.stac-item
2022-06-01 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2022-06-01_final.stac-item
2022-07-02 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2022-07-02_final.stac-item
2022-07-02 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2022-07-02_final.stac-item
2022-07-30 11:00:41	ga_s2bm_ard_3-2-1_53LMG_2022-07-30_final.stac-item
2022-09-08 11:00:31	ga_s2bm_ard_3-2-1_53LKH_2022-09-08_final.stac-item
2022-09-12 10:44:19	ga_s2bm_ard_3-2-1_53JPM_2022-09-12_final.stac-item
2022-09-14 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2022-09-14_final.stac-item
2022-10-02 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2022-10-02_final.stac-item
2022-10-29 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-10-29_final.stac-item
2022-11-19 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2022-11-19_final.stac-item
2022-11-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-11-19_final.stac-item
2023-01-02 11:22:47	ga_s2bm_ard_3-2-1_52KCD_2023-01-02_final.stac-item
2023-01-12 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2023-01-12_final.stac-item
2023-01-21 11:53:40	ga_s2bm_ard_3-2-1_50KMB_2023-01-21_final.stac-item
2023-03-25 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2023-03-25_final
2023-03-29 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-03-29_final
2023-05-11 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-05-11_final
2023-05-21 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-05-21_final
2023-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-27_final
2023-08-22 10:24:23	ga_s2bm_ard_3-2-1_53JRM_2023-08-22_final
2023-10-06 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2023-10-06_final
2023-10-10 10:54:17	ga_s2bm_ard_3-2-1_53JLM_2023-10-10_final
2023-10-12 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-10-12_final
2023-11-15 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2023-11-15_final
2023-11-22 11:03:29	ga_s2bm_ard_3-2-1_52KHV_2023-11-22_final
2023-12-31 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-31_final
2024-01-05 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2024-01-05_final
2024-01-14 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2024-01-14_final
2024-01-22 10:32:36	ga_s2bm_ard_3-2-1_53KQU_2024-01-22_final
2024-01-24 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2024-01-24_final
2024-02-01 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2024-02-01_final
2024-03-10 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2024-03-10_final
2024-03-13 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2024-03-13_final
2024-03-31 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2024-03-31_final
2024-04-20 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2024-04-20_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