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
2023-08-17 09:33:27	ga_s2bm_ard_3-2-1_56KNU_2023-08-17_nrt
2023-08-17 09:33:30	ga_s2bm_ard_3-2-1_56KMU_2023-08-17_final
2023-08-17 09:33:33	ga_s2bm_ard_3-2-1_56KLU_2023-08-17_final
2023-08-17 09:33:35	ga_s2bm_ard_3-2-1_56JPT_2023-08-17_nrt
2023-08-17 09:33:41	ga_s2bm_ard_3-2-1_56JNT_2023-08-17_final
2023-08-17 09:33:44	ga_s2bm_ard_3-2-1_56JMT_2023-08-17_final
2023-08-17 09:33:45	ga_s2bm_ard_3-2-1_56JPS_2023-08-17_nrt
2023-08-17 09:33:48	ga_s2bm_ard_3-2-1_56JLT_2023-08-17_final
2023-08-17 09:33:51	ga_s2bm_ard_3-2-1_56JNS_2023-08-17_final
2023-08-17 09:33:53	ga_s2bm_ard_3-2-1_56JMS_2023-08-17_final
2023-08-17 09:33:54	ga_s2bm_ard_3-2-1_56JKT_2023-08-17_final
2023-08-17 09:33:55	ga_s2bm_ard_3-2-1_56JLT_2023-08-17_final
2023-08-17 09:33:55	ga_s2bm_ard_3-2-1_56JLS_2023-08-17_final
2023-08-17 09:33:56	ga_s2bm_ard_3-2-1_56JKT_2023-08-17_final
2023-08-17 09:33:57	ga_s2bm_ard_3-2-1_56JKS_2023-08-17_final
2023-08-17 09:33:58	ga_s2bm_ard_3-2-1_56JNS_2023-08-17_final
2023-08-17 09:34:00	ga_s2bm_ard_3-2-1_56JMS_2023-08-17_final
2023-08-17 09:34:02	ga_s2bm_ard_3-2-1_56JLS_2023-08-17_final
2023-08-17 09:34:06	ga_s2bm_ard_3-2-1_55JHM_2023-08-17_final
2023-08-17 09:34:06	ga_s2bm_ard_3-2-1_56JKS_2023-08-17_final
2023-08-17 09:34:10	ga_s2bm_ard_3-2-1_56JNR_2023-08-17_final
2023-08-17 09:34:14	ga_s2bm_ard_3-2-1_56JMR_2023-08-17_final
2023-08-17 09:34:17	ga_s2bm_ard_3-2-1_56JLR_2023-08-17_final
2023-08-17 09:34:20	ga_s2bm_ard_3-2-1_56JKR_2023-08-17_final
2023-08-17 09:34:25	ga_s2bm_ard_3-2-1_56JNQ_2023-08-17_final
2023-08-17 09:34:28	ga_s2bm_ard_3-2-1_56JMQ_2023-08-17_final
2023-08-17 09:34:31	ga_s2bm_ard_3-2-1_56JLQ_2023-08-17_final
2023-08-17 09:34:34	ga_s2bm_ard_3-2-1_56JKQ_2023-08-17_final
2023-08-17 09:34:38	ga_s2bm_ard_3-2-1_56JNP_2023-08-17_final
2023-08-17 09:34:43	ga_s2bm_ard_3-2-1_56JMP_2023-08-17_final
2023-08-17 09:34:46	ga_s2bm_ard_3-2-1_56JLP_2023-08-17_final
2023-08-17 09:34:49	ga_s2bm_ard_3-2-1_56JNN_2023-08-17_final
2023-08-17 09:34:49	ga_s2bm_ard_3-2-1_56JKP_2023-08-17_final
2023-08-17 09:34:56	ga_s2bm_ard_3-2-1_55JGJ_2023-08-17_final
2023-08-17 09:35:01	ga_s2bm_ard_3-2-1_56JLN_2023-08-17_final
2023-08-17 09:35:04	ga_s2bm_ard_3-2-1_56JKN_2023-08-17_final
2023-08-17 09:35:07	ga_s2bm_ard_3-2-1_55JGH_2023-08-17_final
2023-08-17 09:35:11	ga_s2bm_ard_3-2-1_56JMM_2023-08-17_final
2023-08-17 09:35:15	ga_s2bm_ard_3-2-1_56JLM_2023-08-17_final
2023-08-17 09:35:18	ga_s2bm_ard_3-2-1_56JKM_2023-08-17_final
2023-08-17 09:35:21	ga_s2bm_ard_3-2-1_55JGG_2023-08-17_final
2023-08-17 09:35:26	ga_s2bm_ard_3-2-1_56JML_2023-08-17_final
2023-08-17 09:35:30	ga_s2bm_ard_3-2-1_56JLL_2023-08-17_final
2023-08-17 09:35:35	ga_s2bm_ard_3-2-1_55JGF_2023-08-17_final
2023-08-17 09:35:40	ga_s2bm_ard_3-2-1_56HMK_2023-08-17_final
2023-08-17 09:35:44	ga_s2bm_ard_3-2-1_56HLK_2023-08-17_final
2023-08-17 09:35:48	ga_s2bm_ard_3-2-1_56HKK_2023-08-17_final
2023-08-17 09:35:50	ga_s2bm_ard_3-2-1_55HGE_2023-08-17_final
2023-08-17 09:35:53	ga_s2bm_ard_3-2-1_56HMJ_2023-08-17_final
2023-08-17 09:35:55	ga_s2bm_ard_3-2-1_55HFE_2023-08-17_final
2023-08-17 09:35:59	ga_s2bm_ard_3-2-1_56HLJ_2023-08-17_final
2023-08-17 09:36:02	ga_s2bm_ard_3-2-1_56HKJ_2023-08-17_final
2023-08-17 09:36:03	ga_s2bm_ard_3-2-1_56HMH_2023-08-17_nrt
2023-08-17 09:36:04	ga_s2bm_ard_3-2-1_55HGD_2023-08-17_final
2023-08-17 09:36:08	ga_s2bm_ard_3-2-1_55HFD_2023-08-17_final
2023-08-17 09:36:13	ga_s2bm_ard_3-2-1_56HLH_2023-08-17_final
2023-08-17 09:36:17	ga_s2bm_ard_3-2-1_56HKH_2023-08-17_final
2023-08-17 09:36:19	ga_s2bm_ard_3-2-1_55HGC_2023-08-17_final
2023-08-17 09:36:22	ga_s2bm_ard_3-2-1_55HFC_2023-08-17_final
2023-08-17 09:36:28	ga_s2bm_ard_3-2-1_56HLG_2023-08-17_final
2023-08-17 09:36:31	ga_s2bm_ard_3-2-1_56HKG_2023-08-17_final
2023-08-17 09:36:33	ga_s2bm_ard_3-2-1_55HGB_2023-08-17_final
2023-08-17 09:36:37	ga_s2bm_ard_3-2-1_55HFB_2023-08-17_final
2023-08-17 09:36:43	ga_s2bm_ard_3-2-1_56HLF_2023-08-17_nrt
2023-08-17 09:36:46	ga_s2bm_ard_3-2-1_56HKF_2023-08-17_final
2023-08-17 09:36:47	ga_s2bm_ard_3-2-1_55HGA_2023-08-17_final
2023-08-17 09:36:51	ga_s2bm_ard_3-2-1_55HFA_2023-08-17_final
2023-08-17 09:36:56	ga_s2bm_ard_3-2-1_55HEA_2023-08-17_final
2023-08-17 09:36:56	ga_s2bm_ard_3-2-1_56HLE_2023-08-17_nrt
2023-08-17 09:37:00	ga_s2bm_ard_3-2-1_56HKE_2023-08-17_nrt
2023-08-17 09:37:02	ga_s2bm_ard_3-2-1_55HGV_2023-08-17_final
2023-08-17 09:37:06	ga_s2bm_ard_3-2-1_55HFV_2023-08-17_final
2023-08-17 09:37:09	ga_s2bm_ard_3-2-1_56HLD_2023-08-17_nrt
2023-08-17 09:37:09	ga_s2bm_ard_3-2-1_55HEV_2023-08-17_final
2023-08-17 09:37:15	ga_s2bm_ard_3-2-1_56HKD_2023-08-17_nrt
2023-08-17 09:37:16	ga_s2bm_ard_3-2-1_55HGU_2023-08-17_final
2023-08-17 09:37:20	ga_s2bm_ard_3-2-1_55HFU_2023-08-17_final
2023-08-17 09:37:24	ga_s2bm_ard_3-2-1_55HEU_2023-08-17_final
2023-08-17 09:37:29	ga_s2bm_ard_3-2-1_56HKC_2023-08-17_nrt
2023-08-17 09:37:30	ga_s2bm_ard_3-2-1_55HGT_2023-08-17_nrt
2023-08-17 09:37:34	ga_s2bm_ard_3-2-1_55HFT_2023-08-17_final
2023-08-17 09:37:38	ga_s2bm_ard_3-2-1_55HET_2023-08-17_final
2023-08-17 09:37:44	ga_s2bm_ard_3-2-1_56HKB_2023-08-17_nrt
2023-08-17 09:37:45	ga_s2bm_ard_3-2-1_55HGS_2023-08-17_nrt
2023-08-17 09:37:45	ga_s2bm_ard_3-2-1_55HDT_2023-08-17_final
2023-08-17 09:37:49	ga_s2bm_ard_3-2-1_55HFS_2023-08-17_final
2023-08-17 09:37:53	ga_s2bm_ard_3-2-1_55HES_2023-08-17_final
2023-08-17 09:37:57	ga_s2bm_ard_3-2-1_55HDS_2023-08-17_final
2023-08-17 09:37:59	ga_s2bm_ard_3-2-1_56GKA_2023-08-17_nrt
2023-08-17 09:37:59	ga_s2bm_ard_3-2-1_55GGR_2023-08-17_nrt
2023-08-17 09:38:03	ga_s2bm_ard_3-2-1_55GFR_2023-08-17_final
2023-08-17 09:38:07	ga_s2bm_ard_3-2-1_55GER_2023-08-17_final
2023-08-17 09:38:11	ga_s2bm_ard_3-2-1_55GDR_2023-08-17_final
2023-08-17 09:38:13	ga_s2bm_ard_3-2-1_56GKV_2023-08-17_nrt
2023-08-17 09:38:13	ga_s2bm_ard_3-2-1_55GGQ_2023-08-17_nrt
2023-08-17 09:38:18	ga_s2bm_ard_3-2-1_55GFQ_2023-08-17_final
2023-08-17 09:38:22	ga_s2bm_ard_3-2-1_55GEQ_2023-08-17_final
2023-08-17 09:38:25	ga_s2bm_ard_3-2-1_55GGP_2023-08-17_nrt
2023-08-17 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-08-17_final
2023-08-17 09:38:26	ga_s2bm_ard_3-2-1_56GKU_2023-08-17_nrt

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