Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-03-29 11:47:33	ga_s2bm_ard_3-2-1_50HPF_2023-03-29_nrt.stac-item
2023-03-29 11:47:35	ga_s2bm_ard_3-2-1_50HNF_2023-03-29_nrt.stac-item
2023-03-30 09:29:44	ga_s2bm_ard_3-2-1_56LPP_2023-03-29_nrt.stac-item
2023-03-30 09:32:37	ga_s2bm_ard_3-2-1_56KPB_2023-03-30_final.stac-item
2023-03-30 09:32:41	ga_s2bm_ard_3-2-1_56KNB_2023-03-30_final.stac-item
2023-03-30 09:32:44	ga_s2bm_ard_3-2-1_56KMB_2023-03-30_final.stac-item
2023-03-30 09:32:50	ga_s2bm_ard_3-2-1_56KLB_2023-03-30_final.stac-item
2023-03-30 09:32:55	ga_s2bm_ard_3-2-1_56KNA_2023-03-30_final.stac-item
2023-03-30 09:32:59	ga_s2bm_ard_3-2-1_56KMA_2023-03-30_final.stac-item
2023-03-30 09:33:02	ga_s2bm_ard_3-2-1_56KLA_2023-03-30_final.stac-item
2023-03-30 09:33:21	ga_s2bm_ard_3-2-1_56KPU_2023-03-30_nrt.stac-item
2023-03-30 09:33:31	ga_s2bm_ard_3-2-1_56KLU_2023-03-30_final.stac-item
2023-03-30 09:33:33	ga_s2bm_ard_3-2-1_56JPT_2023-03-30_nrt.stac-item
2023-03-30 09:33:39	ga_s2bm_ard_3-2-1_56JNT_2023-03-30_final.stac-item
2023-03-30 09:33:43	ga_s2bm_ard_3-2-1_56JPS_2023-03-30_nrt.stac-item
2023-03-30 09:33:46	ga_s2bm_ard_3-2-1_56JLT_2023-03-30_final.stac-item
2023-03-30 09:33:53	ga_s2bm_ard_3-2-1_56JKT_2023-03-30_final.stac-item
2023-03-30 09:33:53	ga_s2bm_ard_3-2-1_56JNS_2023-03-30_final.stac-item
2023-03-30 09:33:57	ga_s2bm_ard_3-2-1_56JMS_2023-03-30_final.stac-item
2023-03-30 09:34:00	ga_s2bm_ard_3-2-1_56JLS_2023-03-30_final.stac-item
2023-03-30 09:34:04	ga_s2bm_ard_3-2-1_56JKS_2023-03-30_final.stac-item
2023-03-30 09:34:08	ga_s2bm_ard_3-2-1_56JNR_2023-03-30_final.stac-item
2023-03-30 09:34:11	ga_s2bm_ard_3-2-1_56JMR_2023-03-30_final.stac-item
2023-03-30 09:34:15	ga_s2bm_ard_3-2-1_56JLR_2023-03-30_final.stac-item
2023-03-30 09:34:23	ga_s2bm_ard_3-2-1_56JNQ_2023-03-30_final.stac-item
2023-03-30 09:34:26	ga_s2bm_ard_3-2-1_56JMQ_2023-03-30_final.stac-item
2023-03-30 09:34:36	ga_s2bm_ard_3-2-1_56JNP_2023-03-30_final.stac-item
2023-03-30 09:34:40	ga_s2bm_ard_3-2-1_56JMP_2023-03-30_final.stac-item
2023-03-30 09:34:53	ga_s2bm_ard_3-2-1_55JGJ_2023-03-30_final.stac-item
2023-03-30 09:35:05	ga_s2bm_ard_3-2-1_55JGH_2023-03-30_final.stac-item
2023-03-30 09:35:09	ga_s2bm_ard_3-2-1_56JMM_2023-03-30_final.stac-item
2023-03-30 09:35:18	ga_s2bm_ard_3-2-1_55JGG_2023-03-30_final.stac-item
2023-03-30 09:35:28	ga_s2bm_ard_3-2-1_56JLL_2023-03-30_final.stac-item
2023-03-30 09:35:38	ga_s2bm_ard_3-2-1_56HMK_2023-03-30_final.stac-item
2023-03-30 09:35:51	ga_s2bm_ard_3-2-1_56HMJ_2023-03-30_final.stac-item
2023-03-30 09:35:53	ga_s2bm_ard_3-2-1_55HFE_2023-03-30_final.stac-item
2023-03-30 09:35:57	ga_s2bm_ard_3-2-1_56HLJ_2023-03-30_final.stac-item
2023-03-30 09:36:00	ga_s2bm_ard_3-2-1_56HKJ_2023-03-30_final.stac-item
2023-03-30 09:36:02	ga_s2bm_ard_3-2-1_55HGD_2023-03-30_final.stac-item
2023-03-30 09:36:06	ga_s2bm_ard_3-2-1_55HFD_2023-03-30_final.stac-item
2023-03-30 09:36:15	ga_s2bm_ard_3-2-1_56HKH_2023-03-30_final.stac-item
2023-03-30 09:36:16	ga_s2bm_ard_3-2-1_55HGC_2023-03-30_final.stac-item
2023-03-30 09:36:40	ga_s2bm_ard_3-2-1_56HLF_2023-03-30_nrt.stac-item
2023-03-30 09:36:49	ga_s2bm_ard_3-2-1_55HFA_2023-03-30_final.stac-item
2023-03-30 09:36:54	ga_s2bm_ard_3-2-1_55HEA_2023-03-30_final.stac-item
2023-03-30 09:37:07	ga_s2bm_ard_3-2-1_56HLD_2023-03-30_nrt.stac-item
2023-03-30 09:37:13	ga_s2bm_ard_3-2-1_56HKD_2023-03-30_nrt.stac-item
2023-03-30 09:37:14	ga_s2bm_ard_3-2-1_55HGU_2023-03-30_final.stac-item
2023-03-30 09:37:18	ga_s2bm_ard_3-2-1_55HFU_2023-03-30_final.stac-item
2023-03-30 09:37:22	ga_s2bm_ard_3-2-1_55HEU_2023-03-30_final.stac-item
2023-03-30 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2023-03-30_final.stac-item
2023-03-30 09:37:51	ga_s2bm_ard_3-2-1_55HES_2023-03-30_final.stac-item
2023-03-30 09:37:55	ga_s2bm_ard_3-2-1_55HDS_2023-03-30_final.stac-item
2023-03-30 09:38:05	ga_s2bm_ard_3-2-1_55GER_2023-03-30_final.stac-item
2023-03-30 09:38:11	ga_s2bm_ard_3-2-1_56GKV_2023-03-30_nrt.stac-item
2023-03-30 09:38:11	ga_s2bm_ard_3-2-1_55GGQ_2023-03-30_nrt.stac-item
2023-03-30 09:38:16	ga_s2bm_ard_3-2-1_55GFQ_2023-03-30_final.stac-item
2023-03-30 09:38:20	ga_s2bm_ard_3-2-1_55GEQ_2023-03-30_final.stac-item
2023-03-30 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2023-03-30_final.stac-item
2023-03-30 11:10:07	ga_s2bm_ard_3-2-1_53LKJ_2023-03-30_final.stac-item
2023-03-30 11:10:14	ga_s2bm_ard_3-2-1_52LHP_2023-03-30_nrt.stac-item
2023-03-30 11:10:18	ga_s2bm_ard_3-2-1_52LGP_2023-03-30_nrt.stac-item
2023-03-30 11:10:21	ga_s2bm_ard_3-2-1_52LFP_2023-03-30_nrt.stac-item
2023-03-30 11:10:24	ga_s2bm_ard_3-2-1_52LEP_2023-03-30_nrt.stac-item
2023-03-30 11:10:28	ga_s2bm_ard_3-2-1_52LHN_2023-03-30_final.stac-item
2023-03-30 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2023-03-30_final.stac-item
2023-03-30 11:11:01	ga_s2bm_ard_3-2-1_52LGL_2023-03-30_final.stac-item
2023-03-30 11:11:05	ga_s2bm_ard_3-2-1_52LFL_2023-03-30_final.stac-item
2023-03-30 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2023-03-30_final.stac-item
2023-03-30 11:11:53	ga_s2bm_ard_3-2-1_52KGG_2023-03-30_final.stac-item
2023-03-30 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2023-03-30_final.stac-item
2023-03-30 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2023-03-30_final.stac-item
2023-03-30 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2023-03-30_final.stac-item
2023-03-30 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2023-03-30_final.stac-item
2023-03-30 11:13:33	ga_s2bm_ard_3-2-1_52KEA_2023-03-30_final.stac-item
2023-03-30 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-30_final.stac-item
2023-03-30 11:13:43	ga_s2bm_ard_3-2-1_52KBA_2023-03-30_final.stac-item
2023-03-30 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2023-03-30_final.stac-item
2023-03-30 11:14:09	ga_s2bm_ard_3-2-1_52KCU_2023-03-30_final.stac-item
2023-03-30 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2023-03-30_final.stac-item
2023-03-30 11:14:20	ga_s2bm_ard_3-2-1_52JDT_2023-03-30_final.stac-item
2023-03-30 11:14:24	ga_s2bm_ard_3-2-1_52JCT_2023-03-30_final.stac-item
2023-03-30 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2023-03-30_final.stac-item
2023-03-30 11:14:32	ga_s2bm_ard_3-2-1_51JYN_2023-03-30_final.stac-item
2023-03-30 11:14:35	ga_s2bm_ard_3-2-1_52JDS_2023-03-30_final.stac-item
2023-03-30 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2023-03-30_final.stac-item
2023-03-30 11:14:41	ga_s2bm_ard_3-2-1_52JBS_2023-03-30_final.stac-item
2023-03-30 11:14:49	ga_s2bm_ard_3-2-1_52JDR_2023-03-30_final.stac-item
2023-03-30 11:14:53	ga_s2bm_ard_3-2-1_52JCR_2023-03-30_final.stac-item
2023-03-30 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-03-30_final.stac-item
2023-03-30 11:15:22	ga_s2bm_ard_3-2-1_52JCP_2023-03-30_final.stac-item
2023-03-30 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2023-03-30_final.stac-item
2023-03-30 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2023-03-30_final.stac-item
2023-03-30 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2023-03-30_final.stac-item
2023-03-30 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2023-03-30_final.stac-item
2023-03-30 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2023-03-30_final.stac-item
2023-03-30 11:16:23	ga_s2bm_ard_3-2-1_51JWF_2023-03-30_final.stac-item
2023-03-30 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2023-03-30_final.stac-item
2023-03-30 11:16:38	ga_s2bm_ard_3-2-1_52HBJ_2023-03-30_nrt.stac-item
2023-03-30 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2023-03-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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