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

88 results

Time (local)	Label
2023-05-04 10:19:40	ga_s2bm_ard_3-2-1_54LZQ_2023-05-04_final.stac-item
2023-05-04 10:19:44	ga_s2bm_ard_3-2-1_54LYQ_2023-05-04_final.stac-item
2023-05-04 10:19:58	ga_s2bm_ard_3-2-1_54LYP_2023-05-04_final.stac-item
2023-05-04 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2023-05-04_final.stac-item
2023-05-04 10:20:42	ga_s2bm_ard_3-2-1_54LYL_2023-05-04_final.stac-item
2023-05-04 10:20:59	ga_s2bm_ard_3-2-1_54LXK_2023-05-04_final.stac-item
2023-05-04 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2023-05-04_final.stac-item
2023-05-04 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-05-04_final.stac-item
2023-05-04 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2023-05-04_final.stac-item
2023-05-04 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2023-05-04_final.stac-item
2023-05-04 10:24:01	ga_s2bm_ard_3-2-1_54JVT_2023-05-04_final.stac-item
2023-05-04 10:24:19	ga_s2bm_ard_3-2-1_54JTS_2023-05-04_final.stac-item
2023-05-04 10:26:00	ga_s2bm_ard_3-2-1_54HUK_2023-05-04_final.stac-item
2023-05-04 10:26:09	ga_s2bm_ard_3-2-1_53HPE_2023-05-04_final.stac-item
2023-05-04 10:26:29	ga_s2bm_ard_3-2-1_54HUH_2023-05-04_final.stac-item
2023-05-04 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2023-05-04_final.stac-item
2023-05-04 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-05-04_final.stac-item
2023-05-04 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-05-04_final.stac-item
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final.stac-item
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2023-05-04_final.stac-item
2023-05-04 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-05-04 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-05-04_final.stac-item
2023-05-04 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-05-04_final.stac-item
2023-05-04 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-05-04_final.stac-item
2023-05-04 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-05-04_final.stac-item
2023-05-04 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-05-04_final.stac-item
2023-05-05 09:51:28	ga_s2bm_ard_3-2-1_56KKG_2023-05-05_final.stac-item
2023-05-05 09:51:32	ga_s2bm_ard_3-2-1_55KGB_2023-05-05_final.stac-item
2023-05-05 09:52:16	ga_s2bm_ard_3-2-1_55KGU_2023-05-05_final.stac-item
2023-05-05 09:52:37	ga_s2bm_ard_3-2-1_55KHS_2023-05-05_final.stac-item
2023-05-05 09:52:48	ga_s2bm_ard_3-2-1_55KFS_2023-05-05_final.stac-item
2023-05-05 09:53:06	ga_s2bm_ard_3-2-1_55KER_2023-05-05_final.stac-item
2023-05-05 09:54:34	ga_s2bm_ard_3-2-1_55JEK_2023-05-05_final.stac-item
2023-05-05 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2023-05-05_final.stac-item
2023-05-05 09:55:24	ga_s2bm_ard_3-2-1_55JCG_2023-05-05_final.stac-item
2023-05-05 09:55:27	ga_s2bm_ard_3-2-1_55JBG_2023-05-05_final.stac-item
2023-05-05 09:55:53	ga_s2bm_ard_3-2-1_55HCE_2023-05-05_final.stac-item
2023-05-05 09:57:09	ga_s2bm_ard_3-2-1_55HBV_2023-05-05_final.stac-item
2023-05-05 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2023-05-05_final.stac-item
2023-05-05 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-05-05_final.stac-item
2023-05-05 09:58:22	ga_s2bm_ard_3-2-1_54GYV_2023-05-05_final.stac-item
2023-05-05 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-05-05_final.stac-item
2023-05-05 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-05-05_final.stac-item
2023-05-05 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-05-05_final.stac-item
2023-05-05 11:34:46	ga_s2bm_ard_3-2-1_51JVM_2023-05-05_final.stac-item
2023-05-05 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2023-05-05_final.stac-item
2023-05-05 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2023-05-05_final.stac-item
2023-05-05 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-05-05_final.stac-item
2023-05-05 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-05-05_final.stac-item
2023-05-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-05-05_final.stac-item
2023-05-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-05-05_final.stac-item
2023-05-06 09:24:26	ga_s2bm_ard_3-2-1_56JNQ_2023-05-05_final.stac-item
2023-05-06 09:25:28	ga_s2bm_ard_3-2-1_56JML_2023-05-05_final.stac-item
2023-05-06 09:26:15	ga_s2bm_ard_3-2-1_56HLH_2023-05-05_final.stac-item
2023-05-06 09:26:34	ga_s2bm_ard_3-2-1_56HKG_2023-05-05_final.stac-item
2023-05-06 09:26:47	ga_s2bm_ard_3-2-1_56HKF_2023-05-05_final.stac-item
2023-05-06 09:27:03	ga_s2bm_ard_3-2-1_55HGV_2023-05-05_final.stac-item
2023-05-06 09:28:04	ga_s2bm_ard_3-2-1_55GFR_2023-05-05_final.stac-item
2023-05-06 09:28:19	ga_s2bm_ard_3-2-1_55GFQ_2023-05-05_final.stac-item
2023-05-06 09:28:31	ga_s2bm_ard_3-2-1_55GFP_2023-05-05_final.stac-item
2023-05-06 09:29:07	ga_s2bm_ard_3-2-1_55GEM_2023-05-05_final.stac-item
2023-05-16 09:26:38	ga_s2bm_ard_3-2-1_56HNF_2023-05-15_nrt.stac-item
2023-05-16 11:00:15	ga_s2bm_ard_3-2-1_53LLJ_2023-05-16_nrt.stac-item
2023-05-16 11:00:20	ga_s2bm_ard_3-2-1_52LHP_2023-05-16_nrt.stac-item
2023-05-16 11:06:39	ga_s2bm_ard_3-2-1_52HEH_2023-05-16_nrt.stac-item
2023-05-17 10:30:05	ga_s2bm_ard_3-2-1_54LVP_2023-05-17_nrt.stac-item
2023-05-17 10:30:08	ga_s2bm_ard_3-2-1_54LUP_2023-05-17_nrt.stac-item
2023-05-17 10:30:20	ga_s2bm_ard_3-2-1_54LVN_2023-05-17_nrt.stac-item
2023-05-17 10:30:23	ga_s2bm_ard_3-2-1_54LUN_2023-05-17_nrt.stac-item
2023-05-17 10:30:37	ga_s2bm_ard_3-2-1_54LUM_2023-05-17_nrt.stac-item
2023-05-17 10:30:42	ga_s2bm_ard_3-2-1_54LTM_2023-05-17_nrt.stac-item
2023-05-17 10:30:52	ga_s2bm_ard_3-2-1_54LUL_2023-05-17_nrt.stac-item
2023-05-17 10:30:55	ga_s2bm_ard_3-2-1_54LTL_2023-05-17_nrt.stac-item
2023-05-17 10:31:06	ga_s2bm_ard_3-2-1_54LUK_2023-05-17_nrt.stac-item
2023-05-17 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-05-17_nrt.stac-item
2023-05-17 10:31:12	ga_s2bm_ard_3-2-1_53LRE_2023-05-17_nrt.stac-item
2023-05-17 10:31:14	ga_s2bm_ard_3-2-1_54LUK_2023-05-17_nrt.stac-item
2023-05-17 10:31:15	ga_s2bm_ard_3-2-1_54LTK_2023-05-17_nrt.stac-item
2023-05-17 10:31:16	ga_s2bm_ard_3-2-1_54LTJ_2023-05-17_nrt.stac-item
2023-05-17 10:31:16	ga_s2bm_ard_3-2-1_53LRE_2023-05-17_nrt.stac-item
2023-05-17 10:31:24	ga_s2bm_ard_3-2-1_54LTJ_2023-05-17_nrt.stac-item
2023-05-17 10:31:25	ga_s2bm_ard_3-2-1_53LRD_2023-05-17_nrt.stac-item
2023-05-17 10:31:39	ga_s2bm_ard_3-2-1_54LTH_2023-05-17_nrt.stac-item
2023-05-17 10:31:40	ga_s2bm_ard_3-2-1_53LRC_2023-05-17_nrt.stac-item
2023-05-17 10:36:47	ga_s2bm_ard_3-2-1_53HLC_2023-05-17_nrt.stac-item
2023-05-17 10:37:02	ga_s2bm_ard_3-2-1_53HLB_2023-05-17_nrt.stac-item
2023-05-17 10:37:06	ga_s2bm_ard_3-2-1_53HNA_2023-05-17_nrt.stac-item
2023-05-17 10:37:10	ga_s2bm_ard_3-2-1_53HLA_2023-05-17_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

Other products

All years