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
2019-11-04 10:31:46	ga_s2bm_ard_3-2-1_54KUG_2019-11-04_final
2019-11-04 10:33:16	ga_s2bm_ard_3-2-1_54KTA_2019-11-04_final
2019-11-04 10:33:22	ga_s2bm_ard_3-2-1_53KRQ_2019-11-04_final
2019-11-04 10:33:22	ga_s2bm_ard_3-2-1_54KTA_2019-11-04_final
2019-11-04 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2019-11-04_final
2019-11-04 10:34:29	ga_s2bm_ard_3-2-1_54JTR_2019-11-04_final
2019-11-04 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2019-11-04_final
2019-11-04 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2019-11-04_final
2019-11-04 10:34:44	ga_s2bm_ard_3-2-1_54JTQ_2019-11-04_final
2019-11-04 10:34:47	ga_s2bm_ard_3-2-1_53JQK_2019-11-04_final
2019-11-04 10:34:51	ga_s2bm_ard_3-2-1_53JPK_2019-11-04_final
2019-11-04 10:34:57	ga_s2bm_ard_3-2-1_54JTP_2019-11-04_final
2019-11-04 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2019-11-04_final
2019-11-04 10:35:05	ga_s2bm_ard_3-2-1_53JPJ_2019-11-04_final
2019-11-04 10:35:09	ga_s2bm_ard_3-2-1_54JTN_2019-11-04_final
2019-11-04 10:35:16	ga_s2bm_ard_3-2-1_53JQH_2019-11-04_final
2019-11-04 10:35:20	ga_s2bm_ard_3-2-1_53JPH_2019-11-04_final
2019-11-04 10:35:23	ga_s2bm_ard_3-2-1_53JNH_2019-11-04_final
2019-11-04 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2019-11-04_final
2019-11-04 10:35:31	ga_s2bm_ard_3-2-1_53JQG_2019-11-04_final
2019-11-04 10:35:34	ga_s2bm_ard_3-2-1_53JPG_2019-11-04_final
2019-11-04 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2019-11-04_final
2019-11-04 10:35:49	ga_s2bm_ard_3-2-1_53JPF_2019-11-04_final
2019-11-04 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-11-04_final
2019-11-04 10:35:56	ga_s2bm_ard_3-2-1_53JMF_2019-11-04_final
2019-11-04 10:35:57	ga_s2bm_ard_3-2-1_53HQE_2019-11-04_final
2019-11-04 10:36:07	ga_s2bm_ard_3-2-1_53HNE_2019-11-04_final
2019-11-04 10:36:10	ga_s2bm_ard_3-2-1_53HME_2019-11-04_final
2019-11-04 10:36:17	ga_s2bm_ard_3-2-1_53HLE_2019-11-04_final
2019-11-04 10:36:17	ga_s2bm_ard_3-2-1_53HPD_2019-11-04_final
2019-11-04 10:36:21	ga_s2bm_ard_3-2-1_53HND_2019-11-04_final
2019-11-04 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2019-11-04_final
2019-11-04 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2019-11-04_final
2019-11-04 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2019-11-04_final
2019-11-04 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2019-11-04_final
2019-11-04 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2019-11-04_final.stac-item
2019-11-04 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2019-11-04_final
2019-11-04 10:36:50	ga_s2bm_ard_3-2-1_53HNB_2019-11-04_final
2019-11-04 10:36:54	ga_s2bm_ard_3-2-1_53HMB_2019-11-04_final.stac-item
2019-11-04 10:36:59	ga_s2bm_ard_3-2-1_53HPA_2019-11-04_final
2019-11-04 10:37:09	ga_s2bm_ard_3-2-1_53HPV_2019-11-04_final.stac-item
2019-11-04 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-11-04_final
2019-11-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-11-04_final
2019-11-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-11-04_final
2019-11-04 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-11-04_final
2019-11-05 10:01:50	ga_s2bm_ard_3-2-1_55KDA_2019-11-05_final
2019-11-05 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2019-11-05_final
2019-11-05 10:04:19	ga_s2bm_ard_3-2-1_55JCL_2019-11-05_final
2019-11-05 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2019-11-05_final
2019-11-05 10:04:25	ga_s2bm_ard_3-2-1_54JYR_2019-11-05_final
2019-11-05 10:04:33	ga_s2bm_ard_3-2-1_54JXR_2019-11-05_final
2019-11-05 10:04:33	ga_s2bm_ard_3-2-1_55JCK_2019-11-05_final
2019-11-05 10:04:37	ga_s2bm_ard_3-2-1_55JBK_2019-11-05_final
2019-11-05 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2019-11-05_final
2019-11-05 10:04:44	ga_s2bm_ard_3-2-1_54JXQ_2019-11-05_final
2019-11-05 10:04:48	ga_s2bm_ard_3-2-1_55JCJ_2019-11-05_final
2019-11-05 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2019-11-05_final
2019-11-05 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2019-11-05_final
2019-11-05 10:04:57	ga_s2bm_ard_3-2-1_54JXP_2019-11-05_final
2019-11-05 10:05:03	ga_s2bm_ard_3-2-1_55JCH_2019-11-05_final
2019-11-05 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2019-11-05_final
2019-11-05 10:05:12	ga_s2bm_ard_3-2-1_54JXN_2019-11-05_final
2019-11-05 10:05:17	ga_s2bm_ard_3-2-1_55JCG_2019-11-05_final
2019-11-05 10:05:20	ga_s2bm_ard_3-2-1_55JBG_2019-11-05_final
2019-11-05 10:05:23	ga_s2bm_ard_3-2-1_54JYM_2019-11-05_final
2019-11-05 10:05:27	ga_s2bm_ard_3-2-1_54JXM_2019-11-05_final
2019-11-05 10:05:29	ga_s2bm_ard_3-2-1_55JCF_2019-11-05_final
2019-11-05 10:05:35	ga_s2bm_ard_3-2-1_55JBF_2019-11-05_final
2019-11-05 10:05:37	ga_s2bm_ard_3-2-1_54JYL_2019-11-05_final
2019-11-05 10:05:39	ga_s2bm_ard_3-2-1_55HCE_2019-11-05_final
2019-11-05 10:05:41	ga_s2bm_ard_3-2-1_54JXL_2019-11-05_final
2019-11-05 10:05:45	ga_s2bm_ard_3-2-1_54JWL_2019-11-05_final
2019-11-05 10:05:49	ga_s2bm_ard_3-2-1_55HBE_2019-11-05_final
2019-11-05 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2019-11-05_final
2019-11-05 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2019-11-05_final
2019-11-05 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2019-11-05_final
2019-11-05 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2019-11-05_final
2019-11-05 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2019-11-05_final
2019-11-05 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2019-11-05_final
2019-11-05 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2019-11-05_final
2019-11-05 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2019-11-05_final
2019-11-05 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2019-11-05_final
2019-11-05 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2019-11-05_final
2019-11-05 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2019-11-05_final
2019-11-05 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2019-11-05_final
2019-11-05 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2019-11-05_final
2019-11-05 10:06:43	ga_s2bm_ard_3-2-1_54HWG_2019-11-05_final
2019-11-05 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2019-11-05_final
2019-11-05 10:06:53	ga_s2bm_ard_3-2-1_54HXF_2019-11-05_final
2019-11-05 10:06:56	ga_s2bm_ard_3-2-1_55HBV_2019-11-05_final
2019-11-05 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2019-11-05_final
2019-11-05 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2019-11-05_final
2019-11-05 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2019-11-05_final
2019-11-05 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2019-11-05_final
2019-11-05 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2019-11-05_final
2019-11-05 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2019-11-05_final
2019-11-05 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2019-11-05_final
2019-11-05 10:07:22	ga_s2bm_ard_3-2-1_54HXD_2019-11-05_final
2019-11-05 10:07:35	ga_s2bm_ard_3-2-1_54HUD_2019-11-05_final.stac-item
2019-11-05 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2019-11-05_final

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