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
2023-06-13 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2023-06-13_final.stac-item
2023-06-13 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-06-13_final.stac-item
2023-06-13 12:04:41	ga_s2bm_ard_3-2-1_50JMT_2023-06-13_final.stac-item
2023-06-13 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-06-13_final.stac-item
2023-06-13 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-06-13_final.stac-item
2023-06-13 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-06-13_final.stac-item
2023-06-13 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-06-13_final.stac-item
2023-06-13 12:05:13	ga_s2bm_ard_3-2-1_49JFM_2023-06-13_final.stac-item
2023-06-13 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-06-13_final.stac-item
2023-06-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-06-13_final.stac-item
2023-06-13 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-06-13_final.stac-item
2023-06-13 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-06-13_final.stac-item
2023-06-13 12:05:52	ga_s2bm_ard_3-2-1_49JFJ_2023-06-13_nrt.stac-item
2023-06-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-06-13_final.stac-item
2023-06-14 09:50:03	ga_s2bm_ard_3-2-1_56LKN_2023-06-14_nrt.stac-item
2023-06-14 09:50:04	ga_s2bm_ard_3-2-1_55LHH_2023-06-14_nrt.stac-item
2023-06-14 09:50:07	ga_s2bm_ard_3-2-1_55LGH_2023-06-14_nrt.stac-item
2023-06-14 09:51:04	ga_s2bm_ard_3-2-1_56LLJ_2023-06-14_nrt.stac-item
2023-06-14 09:51:06	ga_s2bm_ard_3-2-1_56LKJ_2023-06-14_nrt.stac-item
2023-06-14 09:51:07	ga_s2bm_ard_3-2-1_55LHD_2023-06-14_nrt.stac-item
2023-06-14 09:51:08	ga_s2bm_ard_3-2-1_55LGD_2023-06-14_nrt.stac-item
2023-06-14 09:51:10	ga_s2bm_ard_3-2-1_55LFD_2023-06-14_nrt.stac-item
2023-06-14 09:51:30	ga_s2bm_ard_3-2-1_56KKG_2023-06-14_final.stac-item
2023-06-14 09:51:31	ga_s2bm_ard_3-2-1_55KHB_2023-06-14_final.stac-item
2023-06-14 09:51:35	ga_s2bm_ard_3-2-1_55KGB_2023-06-14_final.stac-item
2023-06-14 09:52:13	ga_s2bm_ard_3-2-1_56KKD_2023-06-14_nrt.stac-item
2023-06-14 09:52:15	ga_s2bm_ard_3-2-1_55KHU_2023-06-14_nrt.stac-item
2023-06-14 09:52:18	ga_s2bm_ard_3-2-1_55KGU_2023-06-14_final.stac-item
2023-06-14 09:52:24	ga_s2bm_ard_3-2-1_56KKC_2023-06-14_nrt.stac-item
2023-06-14 09:52:28	ga_s2bm_ard_3-2-1_55KHT_2023-06-14_nrt.stac-item
2023-06-14 09:52:33	ga_s2bm_ard_3-2-1_55KGT_2023-06-14_final.stac-item
2023-06-14 09:52:51	ga_s2bm_ard_3-2-1_55KFS_2023-06-14_final.stac-item
2023-06-14 09:52:54	ga_s2bm_ard_3-2-1_55KES_2023-06-14_final.stac-item
2023-06-14 09:53:00	ga_s2bm_ard_3-2-1_55KDS_2023-06-14_final.stac-item
2023-06-14 09:53:34	ga_s2bm_ard_3-2-1_55KFP_2023-06-14_final.stac-item
2023-06-14 09:53:42	ga_s2bm_ard_3-2-1_55JGN_2023-06-14_final.stac-item
2023-06-14 09:53:49	ga_s2bm_ard_3-2-1_55JFN_2023-06-14_final.stac-item
2023-06-14 09:53:52	ga_s2bm_ard_3-2-1_55JEN_2023-06-14_final.stac-item
2023-06-14 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2023-06-14_final.stac-item
2023-06-14 09:54:03	ga_s2bm_ard_3-2-1_55JFM_2023-06-14_final.stac-item
2023-06-14 09:54:36	ga_s2bm_ard_3-2-1_55JEK_2023-06-14_final.stac-item
2023-06-14 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2023-06-14_final.stac-item
2023-06-14 09:55:16	ga_s2bm_ard_3-2-1_55JBH_2023-06-14_final.stac-item
2023-06-14 09:55:19	ga_s2bm_ard_3-2-1_55JEG_2023-06-14_final.stac-item
2023-06-14 09:55:23	ga_s2bm_ard_3-2-1_55JDG_2023-06-14_final.stac-item
2023-06-14 09:55:34	ga_s2bm_ard_3-2-1_55JEF_2023-06-14_final.stac-item
2023-06-14 09:55:38	ga_s2bm_ard_3-2-1_55JDF_2023-06-14_final.stac-item
2023-06-14 09:55:41	ga_s2bm_ard_3-2-1_55JCF_2023-06-14_final.stac-item
2023-06-14 09:55:48	ga_s2bm_ard_3-2-1_55HEE_2023-06-14_final.stac-item
2023-06-14 09:55:52	ga_s2bm_ard_3-2-1_55HDE_2023-06-14_final.stac-item
2023-06-14 09:56:54	ga_s2bm_ard_3-2-1_55HCA_2023-06-14_final.stac-item
2023-06-14 09:56:57	ga_s2bm_ard_3-2-1_55HBA_2023-06-14_final.stac-item
2023-06-14 09:56:58	ga_s2bm_ard_3-2-1_54HYF_2023-06-14_final.stac-item
2023-06-14 09:57:02	ga_s2bm_ard_3-2-1_54HXF_2023-06-14_final.stac-item
2023-06-14 09:57:13	ga_s2bm_ard_3-2-1_55HDU_2023-06-14_final.stac-item
2023-06-14 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2023-06-14_final.stac-item
2023-06-14 09:57:23	ga_s2bm_ard_3-2-1_55HCU_2023-06-14_final.stac-item
2023-06-14 09:57:26	ga_s2bm_ard_3-2-1_55HBU_2023-06-14_final.stac-item
2023-06-14 09:57:27	ga_s2bm_ard_3-2-1_54HYD_2023-06-14_final.stac-item
2023-06-14 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2023-06-14_final.stac-item
2023-06-14 09:58:34	ga_s2bm_ard_3-2-1_54GYU_2023-06-14_nrt.stac-item
2023-06-14 09:58:34	ga_s2bm_ard_3-2-1_55GBP_2023-06-14_nrt.stac-item
2023-06-14 11:30:40	ga_s2bm_ard_3-2-1_52LBN_2023-06-14_nrt.stac-item
2023-06-14 11:30:42	ga_s2bm_ard_3-2-1_51LZH_2023-06-14_nrt.stac-item
2023-06-14 11:30:46	ga_s2bm_ard_3-2-1_51LYH_2023-06-14_nrt.stac-item
2023-06-14 11:31:22	ga_s2bm_ard_3-2-1_51LWF_2023-06-14_nrt.stac-item
2023-06-14 11:31:34	ga_s2bm_ard_3-2-1_52LBJ_2023-06-14_final.stac-item
2023-06-14 11:31:40	ga_s2bm_ard_3-2-1_51LZD_2023-06-14_final.stac-item
2023-06-14 11:31:44	ga_s2bm_ard_3-2-1_51LYD_2023-06-14_final.stac-item
2023-06-14 11:31:47	ga_s2bm_ard_3-2-1_51LXD_2023-06-14_final.stac-item
2023-06-14 11:32:04	ga_s2bm_ard_3-2-1_51KZB_2023-06-14_final.stac-item
2023-06-14 11:32:12	ga_s2bm_ard_3-2-1_51KYB_2023-06-14_final.stac-item
2023-06-14 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-06-14_final.stac-item
2023-06-14 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-06-14_final.stac-item
2023-06-14 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-06-14_final.stac-item
2023-06-14 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-06-14_final.stac-item
2023-06-14 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-06-14_final.stac-item
2023-06-14 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-06-14_final.stac-item
2023-06-14 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2023-06-14_final.stac-item
2023-06-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-06-14_final.stac-item
2023-06-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-06-14_final.stac-item
2023-06-14 11:34:20	ga_s2bm_ard_3-2-1_51JXN_2023-06-14_final.stac-item
2023-06-14 11:34:30	ga_s2bm_ard_3-2-1_51JWN_2023-06-14_final.stac-item
2023-06-14 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2023-06-14_final.stac-item
2023-06-14 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2023-06-14_final.stac-item
2023-06-14 11:34:42	ga_s2bm_ard_3-2-1_50JRT_2023-06-14_final.stac-item
2023-06-14 11:34:45	ga_s2bm_ard_3-2-1_51JWM_2023-06-14_final.stac-item
2023-06-14 11:34:48	ga_s2bm_ard_3-2-1_51JVM_2023-06-14_final.stac-item
2023-06-14 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2023-06-14_final.stac-item
2023-06-14 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2023-06-14_final.stac-item
2023-06-14 11:35:24	ga_s2bm_ard_3-2-1_51JWJ_2023-06-14_final.stac-item
2023-06-14 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2023-06-14_final.stac-item
2023-06-14 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-06-14_final.stac-item
2023-06-14 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-06-14_final.stac-item
2023-06-14 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-06-14_final.stac-item
2023-06-14 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-06-14_final.stac-item
2023-06-14 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-06-14_nrt.stac-item
2023-06-14 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-06-14_nrt.stac-item
2023-06-14 11:37:33	ga_s2bm_ard_3-2-1_50HQF_2023-06-14_nrt.stac-item
2023-06-14 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-06-14_nrt.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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