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
2023-01-07 10:33:18	ga_s2bm_ard_3-2-1_53KQR_2023-01-07_final.stac-item
2023-01-07 10:33:21	ga_s2bm_ard_3-2-1_53KPR_2023-01-07_final.stac-item
2023-01-07 10:33:25	ga_s2bm_ard_3-2-1_54KUV_2023-01-07_final.stac-item
2023-01-07 10:33:28	ga_s2bm_ard_3-2-1_54KTV_2023-01-07_final.stac-item
2023-01-07 10:33:29	ga_s2bm_ard_3-2-1_53KRQ_2023-01-07_final.stac-item
2023-01-07 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2023-01-07_final.stac-item
2023-01-07 10:33:35	ga_s2bm_ard_3-2-1_53KPQ_2023-01-07_final.stac-item
2023-01-07 10:33:36	ga_s2bm_ard_3-2-1_54KUU_2023-01-07_final.stac-item
2023-01-07 10:33:38	ga_s2bm_ard_3-2-1_54KTU_2023-01-07_final.stac-item
2023-01-07 10:33:38	ga_s2bm_ard_3-2-1_53KRP_2023-01-07_final.stac-item
2023-01-07 10:33:40	ga_s2bm_ard_3-2-1_53KQQ_2023-01-07_final.stac-item
2023-01-07 10:33:40	ga_s2bm_ard_3-2-1_53KQP_2023-01-07_final.stac-item
2023-01-07 10:33:41	ga_s2bm_ard_3-2-1_53KPQ_2023-01-07_final.stac-item
2023-01-07 10:33:41	ga_s2bm_ard_3-2-1_53KPP_2023-01-07_final.stac-item
2023-01-07 10:33:42	ga_s2bm_ard_3-2-1_54KUU_2023-01-07_final.stac-item
2023-01-07 10:33:45	ga_s2bm_ard_3-2-1_54KTU_2023-01-07_final.stac-item
2023-01-07 10:33:45	ga_s2bm_ard_3-2-1_53KRP_2023-01-07_final.stac-item
2023-01-07 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-01-07_final.stac-item
2023-01-07 10:33:50	ga_s2bm_ard_3-2-1_54JUT_2023-01-07_final.stac-item
2023-01-07 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2023-01-07_final.stac-item
2023-01-07 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-01-07_final.stac-item
2023-01-07 10:33:57	ga_s2bm_ard_3-2-1_54JTT_2023-01-07_final.stac-item
2023-01-07 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2023-01-07_final.stac-item
2023-01-07 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2023-01-07_final.stac-item
2023-01-07 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-07_final.stac-item
2023-01-07 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-01-07_final.stac-item
2023-01-07 10:34:12	ga_s2bm_ard_3-2-1_54JTS_2023-01-07_final.stac-item
2023-01-07 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2023-01-07_final.stac-item
2023-01-07 10:34:19	ga_s2bm_ard_3-2-1_53JPM_2023-01-07_final.stac-item
2023-01-07 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2023-01-07_final.stac-item
2023-01-07 10:36:00	ga_s2bm_ard_3-2-1_53HPE_2023-01-07_final.stac-item
2023-01-07 10:36:04	ga_s2bm_ard_3-2-1_53HNE_2023-01-07_final.stac-item
2023-01-07 10:36:08	ga_s2bm_ard_3-2-1_53HME_2023-01-07_final.stac-item
2023-01-07 10:36:14	ga_s2bm_ard_3-2-1_53HLE_2023-01-07_final.stac-item
2023-01-07 10:36:15	ga_s2bm_ard_3-2-1_53HPD_2023-01-07_final.stac-item
2023-01-07 10:36:19	ga_s2bm_ard_3-2-1_53HND_2023-01-07_final.stac-item
2023-01-07 10:36:22	ga_s2bm_ard_3-2-1_53HMD_2023-01-07_final.stac-item
2023-01-07 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-07_final.stac-item
2023-01-07 10:36:29	ga_s2bm_ard_3-2-1_53HPC_2023-01-07_final.stac-item
2023-01-07 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2023-01-07_final.stac-item
2023-01-07 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2023-01-07_final
2023-01-07 10:36:40	ga_s2bm_ard_3-2-1_53HLC_2023-01-07_nrt.stac-item
2023-01-07 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2023-01-07_final
2023-01-07 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2023-01-07_final.stac-item
2023-01-07 10:36:55	ga_s2bm_ard_3-2-1_53HLB_2023-01-07_nrt.stac-item
2023-01-07 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2023-01-07_final.stac-item
2023-01-07 10:37:00	ga_s2bm_ard_3-2-1_53HNA_2023-01-07_nrt.stac-item
2023-01-07 10:37:02	ga_s2bm_ard_3-2-1_53HMA_2023-01-07_nrt.stac-item
2023-01-07 10:37:04	ga_s2bm_ard_3-2-1_53HLA_2023-01-07_nrt.stac-item
2023-01-07 10:37:06	ga_s2bm_ard_3-2-1_53HNV_2023-01-07_nrt.stac-item
2023-01-07 12:10:26	ga_s2bm_ard_3-2-1_50LNP_2023-01-07_nrt.stac-item
2023-01-07 12:10:27	ga_s2bm_ard_3-2-1_50LMP_2023-01-07_nrt.stac-item
2023-01-07 12:13:24	ga_s2bm_ard_3-2-1_49KFU_2023-01-07_nrt.stac-item
2023-01-07 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-01-07_nrt.stac-item
2023-01-07 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2023-01-07_nrt.stac-item
2023-01-07 12:13:29	ga_s2bm_ard_3-2-1_49KGT_2023-01-07_nrt.stac-item
2023-01-07 12:13:31	ga_s2bm_ard_3-2-1_49KFT_2023-01-07_nrt.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2023-01-07_final
2023-01-07 12:13:41	ga_s2bm_ard_3-2-1_49KGS_2023-01-07_nrt.stac-item
2023-01-07 12:13:45	ga_s2bm_ard_3-2-1_49KFS_2023-01-07_nrt.stac-item
2023-01-07 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-07_final.stac-item
2023-01-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-07_final.stac-item
2023-01-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-07_final.stac-item
2023-01-07 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-01-07_nrt.stac-item
2023-01-07 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2023-01-07_final.stac-item
2023-01-07 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-01-07_final.stac-item
2023-01-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-01-07_final.stac-item
2023-01-08 10:05:09	ga_s2bm_ard_3-2-1_54JXN_2023-01-08_final.stac-item
2023-01-08 10:05:14	ga_s2bm_ard_3-2-1_55JCG_2023-01-08_final.stac-item
2023-01-08 10:05:17	ga_s2bm_ard_3-2-1_55JBG_2023-01-08_final.stac-item
2023-01-08 10:05:20	ga_s2bm_ard_3-2-1_54JYM_2023-01-08_final.stac-item
2023-01-08 10:05:24	ga_s2bm_ard_3-2-1_54JXM_2023-01-08_final.stac-item
2023-01-08 10:05:26	ga_s2bm_ard_3-2-1_55JCF_2023-01-08_final.stac-item
2023-01-08 10:05:30	ga_s2bm_ard_3-2-1_54JWM_2023-01-08_final.stac-item
2023-01-08 10:05:32	ga_s2bm_ard_3-2-1_55JBF_2023-01-08_final.stac-item
2023-01-08 10:05:35	ga_s2bm_ard_3-2-1_54JYL_2023-01-08_final.stac-item
2023-01-08 10:05:36	ga_s2bm_ard_3-2-1_55HCE_2023-01-08_final.stac-item
2023-01-08 10:05:38	ga_s2bm_ard_3-2-1_54JXL_2023-01-08_final.stac-item
2023-01-08 10:05:42	ga_s2bm_ard_3-2-1_54JWL_2023-01-08_final.stac-item
2023-01-08 10:05:46	ga_s2bm_ard_3-2-1_55HBE_2023-01-08_final.stac-item
2023-01-08 10:05:49	ga_s2bm_ard_3-2-1_54HYK_2023-01-08_final.stac-item
2023-01-08 10:05:53	ga_s2bm_ard_3-2-1_54HXK_2023-01-08_final.stac-item
2023-01-08 10:05:56	ga_s2bm_ard_3-2-1_54HWK_2023-01-08_final.stac-item
2023-01-08 10:06:01	ga_s2bm_ard_3-2-1_55HBD_2023-01-08_final.stac-item
2023-01-08 10:06:03	ga_s2bm_ard_3-2-1_54HYJ_2023-01-08_final.stac-item
2023-01-08 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2023-01-08_final.stac-item
2023-01-08 10:06:11	ga_s2bm_ard_3-2-1_54HWJ_2023-01-08_final.stac-item
2023-01-08 10:06:16	ga_s2bm_ard_3-2-1_55HBC_2023-01-08_final.stac-item
2023-01-08 10:06:17	ga_s2bm_ard_3-2-1_54HYH_2023-01-08_final.stac-item
2023-01-08 10:06:22	ga_s2bm_ard_3-2-1_54HXH_2023-01-08_final.stac-item
2023-01-08 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2023-01-08_final.stac-item
2023-01-08 10:06:30	ga_s2bm_ard_3-2-1_55HBB_2023-01-08_final.stac-item
2023-01-08 10:06:31	ga_s2bm_ard_3-2-1_54HVH_2023-01-08_final.stac-item
2023-01-08 10:06:32	ga_s2bm_ard_3-2-1_54HYG_2023-01-08_final.stac-item
2023-01-08 10:06:36	ga_s2bm_ard_3-2-1_54HXG_2023-01-08_final.stac-item
2023-01-08 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2023-01-08_final.stac-item
2023-01-08 10:06:43	ga_s2bm_ard_3-2-1_55HBA_2023-01-08_final.stac-item
2023-01-08 10:06:43	ga_s2bm_ard_3-2-1_54HVG_2023-01-08_final.stac-item
2023-01-08 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2023-01-08_final.stac-item

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