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
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final.stac-item
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-06-08_final.stac-item
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_50KRC_2019-06-08_final.stac-item
2019-06-08 11:43:29	ga_s2bm_ard_3-2-1_50KQC_2019-06-08_final.stac-item
2019-06-12 09:42:18	ga_s2bm_ard_3-2-1_56KLD_2019-06-12_final.stac-item
2019-06-12 09:42:41	ga_s2bm_ard_3-2-1_55KGT_2019-06-12_final.stac-item
2019-06-16 11:02:47	ga_s2bm_ard_3-2-1_53KKU_2019-06-16_final.stac-item
2019-06-16 11:02:48	ga_s2bm_ard_3-2-1_52KHD_2019-06-16_final.stac-item
2019-06-16 11:02:52	ga_s2bm_ard_3-2-1_52KGD_2019-06-16_final.stac-item
2019-06-16 11:02:55	ga_s2bm_ard_3-2-1_52KFD_2019-06-16_final.stac-item
2019-06-16 11:02:59	ga_s2bm_ard_3-2-1_52KED_2019-06-16_final.stac-item
2019-06-16 11:03:02	ga_s2bm_ard_3-2-1_53KKT_2019-06-16_final.stac-item
2019-06-16 11:03:02	ga_s2bm_ard_3-2-1_52KHC_2019-06-16_final.stac-item
2019-06-16 11:03:06	ga_s2bm_ard_3-2-1_52KGC_2019-06-16_final.stac-item
2019-06-16 11:03:09	ga_s2bm_ard_3-2-1_52KFC_2019-06-16_final.stac-item
2019-06-16 11:03:12	ga_s2bm_ard_3-2-1_52KEC_2019-06-16_final.stac-item
2023-10-16 11:12:49	ga_s2bm_ard_3-2-1_52KED_2023-10-16_final
2023-10-16 11:12:52	ga_s2bm_ard_3-2-1_52KDD_2023-10-16_final
2023-10-16 11:12:55	ga_s2bm_ard_3-2-1_52KCD_2023-10-16_final
2023-10-16 11:12:56	ga_s2bm_ard_3-2-1_52KFC_2023-10-16_final
2023-10-16 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2023-10-16_final
2023-10-16 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2023-10-16_final
2023-10-16 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2023-10-16_final
2023-10-17 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2023-10-17_final
2023-10-17 10:42:38	ga_s2bm_ard_3-2-1_53KPU_2023-10-17_final
2023-10-17 10:42:41	ga_s2bm_ard_3-2-1_53KNU_2023-10-17_final
2023-10-17 10:42:46	ga_s2bm_ard_3-2-1_53KMU_2023-10-17_final
2023-10-17 10:42:49	ga_s2bm_ard_3-2-1_53KQT_2023-10-17_final
2023-10-17 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2023-10-17_final
2023-10-17 10:42:53	ga_s2bm_ard_3-2-1_53KNT_2023-10-17_final
2023-10-18 11:53:12	ga_s2bm_ard_3-2-1_50KND_2023-10-18_nrt
2023-10-18 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-10-18_final
2023-10-18 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-10-18_final
2023-10-20 10:52:40	ga_s2bm_ard_3-2-1_53KMU_2023-10-20_final
2023-10-20 10:52:43	ga_s2bm_ard_3-2-1_53KLU_2023-10-20_final
2023-10-20 10:52:46	ga_s2bm_ard_3-2-1_53KKU_2023-10-20_final
2023-10-20 10:52:47	ga_s2bm_ard_3-2-1_52KHD_2023-10-20_final
2023-10-20 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2023-10-20_final
2023-10-20 10:52:58	ga_s2bm_ard_3-2-1_53KLT_2023-10-20_final
2023-10-20 10:53:01	ga_s2bm_ard_3-2-1_53KKT_2023-10-20_final
2023-10-20 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2023-10-20_final
2023-10-21 10:22:26	ga_s2bm_ard_3-2-1_54KXD_2023-10-21_final
2023-10-21 10:22:29	ga_s2bm_ard_3-2-1_54KWD_2023-10-21_final
2023-10-21 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2023-10-21_final
2023-10-21 10:22:37	ga_s2bm_ard_3-2-1_54KUD_2023-10-21_final
2023-10-21 10:22:40	ga_s2bm_ard_3-2-1_54KXC_2023-10-21_final
2023-10-21 10:22:44	ga_s2bm_ard_3-2-1_54KWC_2023-10-21_final
2023-10-21 10:22:47	ga_s2bm_ard_3-2-1_54KVC_2023-10-21_final
2023-10-21 10:22:50	ga_s2bm_ard_3-2-1_54KUC_2023-10-21_final
2023-10-22 09:52:10	ga_s2bm_ard_3-2-1_56KKD_2023-10-22_nrt
2024-01-14 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2024-01-14_final
2024-01-14 11:12:43	ga_s2bm_ard_3-2-1_52KED_2024-01-14_final
2024-01-14 11:12:48	ga_s2bm_ard_3-2-1_52KFD_2024-01-14_final
2024-01-14 11:12:48	ga_s2bm_ard_3-2-1_52KFC_2024-01-14_final
2024-01-14 11:12:49	ga_s2bm_ard_3-2-1_52KEC_2024-01-14_final
2024-01-14 11:12:50	ga_s2bm_ard_3-2-1_52KED_2024-01-14_final
2024-01-14 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2024-01-14_final
2024-01-14 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2024-01-14_final
2024-01-14 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2024-01-14_final
2024-01-14 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2024-01-14_final
2024-01-14 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2024-01-14_final
2024-01-14 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2024-01-14_final
2024-01-16 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-01-16_final
2024-01-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-01-16_final
2024-01-16 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-01-16_final
2024-01-17 11:22:47	ga_s2bm_ard_3-2-1_52KCD_2024-01-17_final
2024-01-17 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2024-01-17_final
2024-01-17 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-01-17_final
2024-01-17 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2024-01-17_final
2024-01-17 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-01-17_final
2024-01-17 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2024-01-17_final
2024-01-17 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2024-01-17_final
2024-01-17 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-01-17_final
2024-01-17 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2024-01-17_final
2024-01-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-01-17_final
2024-01-19 10:22:23	ga_s2bm_ard_3-2-1_54KXD_2024-01-19_final
2024-01-19 10:22:27	ga_s2bm_ard_3-2-1_54KWD_2024-01-19_final
2024-01-19 10:22:30	ga_s2bm_ard_3-2-1_54KVD_2024-01-19_final
2024-01-19 10:22:34	ga_s2bm_ard_3-2-1_54KUD_2024-01-19_final
2024-01-19 10:22:38	ga_s2bm_ard_3-2-1_54KXC_2024-01-19_final
2024-01-19 10:22:41	ga_s2bm_ard_3-2-1_54KWC_2024-01-19_final
2024-01-19 10:22:44	ga_s2bm_ard_3-2-1_54KVC_2024-01-19_final
2024-01-19 10:22:47	ga_s2bm_ard_3-2-1_54KUC_2024-01-19_final
2024-01-20 09:52:07	ga_s2bm_ard_3-2-1_56KKD_2024-01-20_nrt
2024-01-20 09:52:09	ga_s2bm_ard_3-2-1_55KHU_2024-01-20_nrt
2024-01-20 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2024-01-20_final
2024-01-20 09:52:16	ga_s2bm_ard_3-2-1_55KFU_2024-01-20_final
2024-01-20 09:52:18	ga_s2bm_ard_3-2-1_56KKC_2024-01-20_nrt
2024-01-20 09:52:19	ga_s2bm_ard_3-2-1_55KEU_2024-01-20_final
2024-01-20 09:52:23	ga_s2bm_ard_3-2-1_55KHT_2024-01-20_nrt
2024-01-20 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2024-01-20_final
2024-01-20 09:52:31	ga_s2bm_ard_3-2-1_55KFT_2024-01-20_final
2024-01-20 09:52:34	ga_s2bm_ard_3-2-1_55KET_2024-01-20_final
2024-01-20 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-01-20_final
2024-01-20 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-01-20_final
2024-01-20 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2024-01-20_final
2024-01-20 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2024-01-20_final
2024-01-20 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2024-01-20_final
2024-01-20 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2024-01-20_final
2024-01-20 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2024-01-20_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