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:

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First 100 results (query limit)

Time (local)	Label
2022-09-29 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-29_final.stac-item
2022-09-29 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-09-29_final.stac-item
2022-09-30 08:24:20	ga_s2bm_ard_3-2-1_59JKJ_2022-09-29_interim.stac-item
2022-09-30 08:24:21	ga_s2bm_ard_3-2-1_58JGP_2022-09-29_interim.stac-item
2022-09-30 08:24:27	ga_s2bm_ard_3-2-1_59JKH_2022-09-29_final.stac-item
2022-09-30 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2022-09-30_final.stac-item
2022-09-30 10:01:35	ga_s2bm_ard_3-2-1_55KDB_2022-09-30_final.stac-item
2022-09-30 10:01:42	ga_s2bm_ard_3-2-1_55KFA_2022-09-30_final.stac-item
2022-09-30 10:01:53	ga_s2bm_ard_3-2-1_55KCA_2022-09-30_final.stac-item
2022-09-30 10:02:05	ga_s2bm_ard_3-2-1_55KFU_2022-09-30_final.stac-item
2022-09-30 10:02:15	ga_s2bm_ard_3-2-1_55KEU_2022-09-30_final.stac-item
2022-09-30 10:02:19	ga_s2bm_ard_3-2-1_55KDU_2022-09-30_final.stac-item
2022-09-30 10:02:26	ga_s2bm_ard_3-2-1_55KBU_2022-09-30_final.stac-item
2022-09-30 10:02:39	ga_s2bm_ard_3-2-1_55KBT_2022-09-30_final.stac-item
2022-09-30 10:02:54	ga_s2bm_ard_3-2-1_54KZB_2022-09-30_final.stac-item
2022-09-30 10:03:08	ga_s2bm_ard_3-2-1_55KEQ_2022-09-30_final.stac-item
2022-09-30 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2022-09-30_final.stac-item
2022-09-30 10:03:23	ga_s2bm_ard_3-2-1_54KZV_2022-09-30_final.stac-item
2022-09-30 10:03:31	ga_s2bm_ard_3-2-1_55KDP_2022-09-30_final.stac-item
2022-09-30 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2022-09-30_final.stac-item
2022-09-30 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2022-09-30_final.stac-item
2022-09-30 10:03:49	ga_s2bm_ard_3-2-1_55JCN_2022-09-30_final.stac-item
2022-09-30 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2022-09-30_final.stac-item
2022-09-30 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2022-09-30_final.stac-item
2022-09-30 10:03:55	ga_s2bm_ard_3-2-1_54JYT_2022-09-30_final.stac-item
2022-09-30 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2022-09-30_final.stac-item
2022-09-30 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2022-09-30_final.stac-item
2022-09-30 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2022-09-30_final.stac-item
2022-09-30 10:04:18	ga_s2bm_ard_3-2-1_55JCL_2022-09-30_final.stac-item
2022-09-30 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2022-09-30_final.stac-item
2022-09-30 10:04:47	ga_s2bm_ard_3-2-1_55JCJ_2022-09-30_final.stac-item
2022-09-30 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2022-09-30_final.stac-item
2022-09-30 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2022-09-30_final.stac-item
2022-09-30 10:05:31	ga_s2bm_ard_3-2-1_55JBF_2022-09-30_final.stac-item
2022-09-30 10:05:32	ga_s2bm_ard_3-2-1_54JYL_2022-09-30_final.stac-item
2022-09-30 10:05:32	ga_s2bm_ard_3-2-1_54JWM_2022-09-30_final.stac-item
2022-09-30 10:05:34	ga_s2bm_ard_3-2-1_54JXM_2022-09-30_final.stac-item
2022-09-30 10:05:34	ga_s2bm_ard_3-2-1_55JCF_2022-09-30_final.stac-item
2022-09-30 10:05:35	ga_s2bm_ard_3-2-1_54JWM_2022-09-30_final.stac-item
2022-09-30 10:05:36	ga_s2bm_ard_3-2-1_54JWL_2022-09-30_final.stac-item
2022-09-30 10:05:39	ga_s2bm_ard_3-2-1_54JYL_2022-09-30_final.stac-item
2022-09-30 10:05:44	ga_s2bm_ard_3-2-1_54JWL_2022-09-30_final.stac-item
2022-09-30 10:06:13	ga_s2bm_ard_3-2-1_54HWJ_2022-09-30_final.stac-item
2022-09-30 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2022-09-30_final.stac-item
2022-09-30 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2022-09-30_final.stac-item
2022-09-30 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2022-09-30_final.stac-item
2022-09-30 10:06:32	ga_s2bm_ard_3-2-1_55HBB_2022-09-30_final.stac-item
2022-09-30 10:06:33	ga_s2bm_ard_3-2-1_54HVH_2022-09-30_final.stac-item
2022-09-30 10:06:34	ga_s2bm_ard_3-2-1_54HYG_2022-09-30_final.stac-item
2022-09-30 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2022-09-30_final.stac-item
2022-09-30 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2022-09-30_final.stac-item
2022-09-30 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2022-09-30_final.stac-item
2022-09-30 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2022-09-30_final.stac-item
2022-09-30 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2022-09-30_final.stac-item
2022-09-30 10:07:36	ga_s2bm_ard_3-2-1_54HXC_2022-09-30_final.stac-item
2022-09-30 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2022-09-30_final.stac-item
2022-09-30 10:07:43	ga_s2bm_ard_3-2-1_54HVC_2022-09-30_final.stac-item
2022-09-30 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2022-09-30_final.stac-item
2022-09-30 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2022-09-30_final.stac-item
2022-09-30 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2022-09-30_final.stac-item
2022-09-30 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2022-09-30_final.stac-item
2022-09-30 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-09-30_final.stac-item
2022-09-30 11:42:01	ga_s2bm_ard_3-2-1_51LUC_2022-09-30_final.stac-item
2022-09-30 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-09-30_final.stac-item
2022-09-30 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2022-09-30_final.stac-item
2022-09-30 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2022-09-30_final.stac-item
2022-09-30 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-09-30_final.stac-item
2022-09-30 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-09-30_final.stac-item
2022-09-30 11:43:08	ga_s2bm_ard_3-2-1_50KQD_2022-09-30_final.stac-item
2022-09-30 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-09-30_final.stac-item
2022-09-30 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-09-30_final.stac-item
2022-09-30 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-09-30_final.stac-item
2022-09-30 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-09-30_final.stac-item
2022-09-30 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2022-09-30_final.stac-item
2022-09-30 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2022-09-30_final.stac-item
2022-09-30 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2022-09-30_final.stac-item
2022-09-30 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2022-09-30_final.stac-item
2022-09-30 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-09-30_final.stac-item
2022-09-30 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-09-30_final.stac-item
2022-09-30 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2022-09-30_final.stac-item
2022-09-30 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2022-09-30_final.stac-item
2022-09-30 11:44:44	ga_s2bm_ard_3-2-1_50JRS_2022-09-30_final.stac-item
2022-09-30 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2022-09-30_final.stac-item
2022-09-30 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2022-09-30_final.stac-item
2022-09-30 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2022-09-30_final.stac-item
2022-09-30 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2022-09-30_final.stac-item
2022-09-30 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2022-09-30_final.stac-item
2022-09-30 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2022-09-30_final.stac-item
2022-09-30 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-09-30_final.stac-item
2022-09-30 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2022-09-30_final.stac-item
2022-09-30 11:46:07	ga_s2bm_ard_3-2-1_51JTF_2022-09-30_final.stac-item
2022-09-30 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-09-30_final.stac-item
2022-09-30 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2022-09-30_final.stac-item
2022-09-30 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2022-09-30_final.stac-item
2022-09-30 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-09-30_final.stac-item
2022-09-30 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-09-30_final.stac-item
2022-09-30 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-09-30_final.stac-item
2022-09-30 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-09-30_final.stac-item
2022-09-30 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-09-30_final.stac-item
2022-09-30 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-09-30_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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