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
2023-10-02 09:49:59	ga_s2bm_ard_3-2-1_56LKN_2023-10-02_nrt.stac-item
2023-10-02 09:50:00	ga_s2bm_ard_3-2-1_55LHH_2023-10-02_nrt.stac-item
2023-10-02 09:50:01	ga_s2bm_ard_3-2-1_55LGH_2023-10-02_nrt.stac-item
2023-10-02 09:51:01	ga_s2bm_ard_3-2-1_56LLJ_2023-10-02_nrt.stac-item
2023-10-02 09:51:03	ga_s2bm_ard_3-2-1_56LKJ_2023-10-02_nrt.stac-item
2023-10-02 09:51:03	ga_s2bm_ard_3-2-1_55LHD_2023-10-02_nrt.stac-item
2023-10-02 09:51:05	ga_s2bm_ard_3-2-1_55LGD_2023-10-02_nrt.stac-item
2023-10-02 09:51:07	ga_s2bm_ard_3-2-1_55LFD_2023-10-02_nrt.stac-item
2023-10-02 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2023-10-02_final.stac-item
2023-10-02 09:51:28	ga_s2bm_ard_3-2-1_55KHB_2023-10-02_final.stac-item
2023-10-02 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2023-10-02_final.stac-item
2023-10-02 09:51:35	ga_s2bm_ard_3-2-1_55KFB_2023-10-02_final.stac-item
2023-10-02 09:51:41	ga_s2bm_ard_3-2-1_56KKF_2023-10-02_final.stac-item
2023-10-02 09:51:42	ga_s2bm_ard_3-2-1_55KHA_2023-10-02_nrt.stac-item
2023-10-02 09:51:46	ga_s2bm_ard_3-2-1_55KGA_2023-10-02_nrt.stac-item
2023-10-02 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2023-10-02_final.stac-item
2023-10-02 09:51:55	ga_s2bm_ard_3-2-1_55KEA_2023-10-02_nrt.stac-item
2023-10-02 09:52:09	ga_s2bm_ard_3-2-1_56KKD_2023-10-02_nrt.stac-item
2023-10-02 09:52:11	ga_s2bm_ard_3-2-1_55KHU_2023-10-02_nrt.stac-item
2023-10-02 09:52:15	ga_s2bm_ard_3-2-1_55KGU_2023-10-02_final.stac-item
2023-10-02 09:52:21	ga_s2bm_ard_3-2-1_56KKC_2023-10-02_nrt.stac-item
2023-10-02 09:52:25	ga_s2bm_ard_3-2-1_55KHT_2023-10-02_nrt.stac-item
2023-10-02 09:52:29	ga_s2bm_ard_3-2-1_55KGT_2023-10-02_final.stac-item
2023-10-02 09:52:37	ga_s2bm_ard_3-2-1_55KHS_2023-10-02_final.stac-item
2023-10-02 09:52:47	ga_s2bm_ard_3-2-1_55KFS_2023-10-02_final.stac-item
2023-10-02 09:52:51	ga_s2bm_ard_3-2-1_55KES_2023-10-02_final.stac-item
2023-10-02 09:52:57	ga_s2bm_ard_3-2-1_55KDS_2023-10-02_final.stac-item
2023-10-02 09:53:05	ga_s2bm_ard_3-2-1_55KER_2023-10-02_final.stac-item
2023-10-02 09:53:09	ga_s2bm_ard_3-2-1_55KDR_2023-10-02_final.stac-item
2023-10-02 09:53:13	ga_s2bm_ard_3-2-1_55KGQ_2023-10-02_final.stac-item
2023-10-02 09:53:39	ga_s2bm_ard_3-2-1_55JGN_2023-10-02_final.stac-item
2023-10-02 09:53:45	ga_s2bm_ard_3-2-1_55JFN_2023-10-02_final.stac-item
2023-10-02 09:53:49	ga_s2bm_ard_3-2-1_55JGM_2023-10-02_final.stac-item
2023-10-02 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2023-10-02_final.stac-item
2023-10-02 09:53:59	ga_s2bm_ard_3-2-1_55JCN_2023-10-02_final.stac-item
2023-10-02 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2023-10-02_final.stac-item
2023-10-02 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2023-10-02_final.stac-item
2023-10-02 09:55:16	ga_s2bm_ard_3-2-1_55JEG_2023-10-02_final.stac-item
2023-10-02 09:55:30	ga_s2bm_ard_3-2-1_55JEF_2023-10-02_final.stac-item
2023-10-02 09:55:56	ga_s2bm_ard_3-2-1_55HED_2023-10-02_final.stac-item
2023-10-02 09:56:03	ga_s2bm_ard_3-2-1_55HDD_2023-10-02_final.stac-item
2023-10-02 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2023-10-02_final.stac-item
2023-10-02 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2023-10-02_final.stac-item
2023-10-02 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2023-10-02_final.stac-item
2023-10-02 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2023-10-02_final.stac-item
2023-10-02 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2023-10-02_final.stac-item
2023-10-02 09:56:47	ga_s2bm_ard_3-2-1_54HXG_2023-10-02_final.stac-item
2023-10-02 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2023-10-02_final.stac-item
2023-10-02 09:57:56	ga_s2bm_ard_3-2-1_54HXB_2023-10-02_nrt.stac-item
2023-10-02 09:58:00	ga_s2bm_ard_3-2-1_54HWB_2023-10-02_nrt.stac-item
2023-10-02 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2023-10-02_final.stac-item
2023-10-02 11:30:37	ga_s2bm_ard_3-2-1_52LBN_2023-10-02_nrt.stac-item
2023-10-02 11:30:39	ga_s2bm_ard_3-2-1_51LZH_2023-10-02_nrt.stac-item
2023-10-02 11:30:42	ga_s2bm_ard_3-2-1_51LYH_2023-10-02_nrt.stac-item
2023-10-02 11:31:06	ga_s2bm_ard_3-2-1_52LBL_2023-10-02_nrt.stac-item
2023-10-02 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-10-02_nrt.stac-item
2023-10-02 11:31:11	ga_s2bm_ard_3-2-1_51LYF_2023-10-02_nrt.stac-item
2023-10-02 11:31:15	ga_s2bm_ard_3-2-1_51LXF_2023-10-02_nrt.stac-item
2023-10-02 11:31:19	ga_s2bm_ard_3-2-1_51LWF_2023-10-02_nrt.stac-item
2023-10-02 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2023-10-02_final.stac-item
2023-10-02 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2023-10-02_final.stac-item
2023-10-02 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2023-10-02_final.stac-item
2023-10-02 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2023-10-02_final.stac-item
2023-10-02 11:32:01	ga_s2bm_ard_3-2-1_51KZB_2023-10-02_final.stac-item
2023-10-02 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2023-10-02_final.stac-item
2023-10-02 11:32:09	ga_s2bm_ard_3-2-1_51KYB_2023-10-02_final.stac-item
2023-10-02 11:32:13	ga_s2bm_ard_3-2-1_51KXB_2023-10-02_final.stac-item
2023-10-02 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2023-10-02_final.stac-item
2023-10-02 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-10-02_final.stac-item
2023-10-02 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2023-10-02_final.stac-item
2023-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-10-02_final.stac-item
2023-10-02 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-10-02_final.stac-item
2023-10-02 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2023-10-02_final.stac-item
2023-10-02 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2023-10-02_final.stac-item
2023-10-02 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-10-02_final.stac-item
2023-10-02 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-10-02_final.stac-item
2023-10-02 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-10-02_final.stac-item
2023-10-02 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-10-02_final.stac-item
2023-10-02 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-10-02_final.stac-item
2023-10-02 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-10-02_final.stac-item
2023-10-02 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2023-10-02_final.stac-item
2023-10-02 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-10-02_final.stac-item
2023-10-02 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2023-10-02_final.stac-item
2023-10-02 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2023-10-02_final.stac-item
2023-10-02 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2023-10-02_final.stac-item
2023-10-02 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-10-02_final.stac-item
2023-10-02 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2023-10-02_final.stac-item
2023-10-02 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2023-10-02_final.stac-item
2023-10-02 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2023-10-02_final.stac-item
2023-10-02 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2023-10-02_final.stac-item
2023-10-02 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2023-10-02_final.stac-item
2023-10-02 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-10-02_final.stac-item
2023-10-02 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2023-10-02_final.stac-item
2023-10-02 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-02_final.stac-item
2023-10-02 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-02_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2023-10-02_final.stac-item
2023-10-02 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-02_final.stac-item
2023-10-02 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-02_final.stac-item
2023-10-02 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-10-02_final.stac-item
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_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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