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
2022-01-29 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-01-29_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-01-29_final
2022-01-29 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2022-01-29_final
2022-01-29 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2022-01-29_final
2022-01-29 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-01-29_final
2022-01-29 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2022-01-29_final
2022-01-29 12:05:31	ga_s2bm_ard_3-2-1_50JLP_2022-01-29_final
2022-01-29 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-01-29_final
2022-01-29 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2022-01-29_final.stac-item
2022-01-29 12:06:08	ga_s2bm_ard_3-2-1_50JLL_2022-01-29_final
2022-01-30 09:51:13	ga_s2bm_ard_3-2-1_55LFC_2022-01-30_final
2022-01-30 09:51:27	ga_s2bm_ard_3-2-1_55KFB_2022-01-30_final
2022-01-30 09:52:11	ga_s2bm_ard_3-2-1_55KFU_2022-01-30_final
2022-01-30 09:52:25	ga_s2bm_ard_3-2-1_55KFT_2022-01-30_final
2022-01-30 09:52:29	ga_s2bm_ard_3-2-1_55KET_2022-01-30_final
2022-01-30 09:52:36	ga_s2bm_ard_3-2-1_55KGS_2022-01-30_final
2022-01-30 09:52:50	ga_s2bm_ard_3-2-1_55KGR_2022-01-30_final
2022-01-30 09:52:54	ga_s2bm_ard_3-2-1_55KFR_2022-01-30_final
2022-01-30 09:53:09	ga_s2bm_ard_3-2-1_55KFQ_2022-01-30_final
2022-01-30 09:53:12	ga_s2bm_ard_3-2-1_55KEQ_2022-01-30_final
2022-01-30 09:53:15	ga_s2bm_ard_3-2-1_55KDQ_2022-01-30_final
2022-01-30 09:53:19	ga_s2bm_ard_3-2-1_55KGP_2022-01-30_final
2022-01-30 09:53:23	ga_s2bm_ard_3-2-1_55KFP_2022-01-30_final
2022-01-30 09:53:27	ga_s2bm_ard_3-2-1_55KEP_2022-01-30_final
2022-01-30 09:53:30	ga_s2bm_ard_3-2-1_55KDP_2022-01-30_final
2022-01-30 09:54:07	ga_s2bm_ard_3-2-1_55JFL_2022-01-30_final
2022-01-30 09:54:10	ga_s2bm_ard_3-2-1_55JEL_2022-01-30_final
2022-01-30 09:54:14	ga_s2bm_ard_3-2-1_55JDL_2022-01-30_final
2022-01-30 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2022-01-30_final
2022-01-30 09:54:28	ga_s2bm_ard_3-2-1_55JDK_2022-01-30_final
2022-01-30 09:54:34	ga_s2bm_ard_3-2-1_55JFJ_2022-01-30_final
2022-01-30 09:54:46	ga_s2bm_ard_3-2-1_55JCJ_2022-01-30_final
2022-01-30 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2022-01-30_final
2022-01-30 09:55:08	ga_s2bm_ard_3-2-1_55JEG_2022-01-30_final
2022-01-30 09:55:12	ga_s2bm_ard_3-2-1_55JDG_2022-01-30_final
2022-01-30 09:55:30	ga_s2bm_ard_3-2-1_55JCF_2022-01-30_final
2022-01-30 09:55:37	ga_s2bm_ard_3-2-1_55HEE_2022-01-30_final
2022-01-30 09:55:41	ga_s2bm_ard_3-2-1_55HDE_2022-01-30_final
2022-01-30 09:55:44	ga_s2bm_ard_3-2-1_55HCE_2022-01-30_final
2022-01-30 09:55:59	ga_s2bm_ard_3-2-1_55HCD_2022-01-30_final
2022-01-30 09:56:02	ga_s2bm_ard_3-2-1_55HBD_2022-01-30_final
2022-01-30 09:56:31	ga_s2bm_ard_3-2-1_55HBB_2022-01-30_final
2022-01-30 09:56:33	ga_s2bm_ard_3-2-1_54HYG_2022-01-30_final
2022-01-30 09:56:39	ga_s2bm_ard_3-2-1_55HDA_2022-01-30_final
2022-01-30 09:56:43	ga_s2bm_ard_3-2-1_55HCA_2022-01-30_final
2022-01-30 09:56:46	ga_s2bm_ard_3-2-1_55HBA_2022-01-30_final
2022-01-30 09:56:47	ga_s2bm_ard_3-2-1_54HYF_2022-01-30_final
2022-01-30 09:56:51	ga_s2bm_ard_3-2-1_54HXF_2022-01-30_final
2022-01-30 09:57:26	ga_s2bm_ard_3-2-1_55HCT_2022-01-30_final
2022-01-30 09:57:30	ga_s2bm_ard_3-2-1_55HBT_2022-01-30_final
2022-01-30 09:57:31	ga_s2bm_ard_3-2-1_54HYC_2022-01-30_final
2022-01-30 09:57:34	ga_s2bm_ard_3-2-1_54HXC_2022-01-30_final
2022-01-30 09:57:39	ga_s2bm_ard_3-2-1_54HWC_2022-01-30_final
2022-01-30 09:57:59	ga_s2bm_ard_3-2-1_55GBR_2022-01-30_final
2022-01-30 09:58:13	ga_s2bm_ard_3-2-1_55GBQ_2022-01-30_final.stac-item
2022-01-30 09:58:13	ga_s2bm_ard_3-2-1_54GYV_2022-01-30_final.stac-item
2022-01-30 11:31:12	ga_s2bm_ard_3-2-1_52LBK_2022-01-30_final
2022-01-30 11:31:23	ga_s2bm_ard_3-2-1_52LBJ_2022-01-30_final
2022-01-30 11:31:25	ga_s2bm_ard_3-2-1_51LWE_2022-01-30_final
2022-01-30 11:31:33	ga_s2bm_ard_3-2-1_51LYD_2022-01-30_final
2022-01-30 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2022-01-30_final
2022-01-30 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2022-01-30_final
2022-01-30 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2022-01-30_final
2022-01-30 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2022-01-30_final
2022-01-30 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2022-01-30_final
2022-01-30 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2022-01-30_final
2022-01-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-01-30_final
2022-01-30 11:32:56	ga_s2bm_ard_3-2-1_51KYT_2022-01-30_final
2022-01-30 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2022-01-30_final
2022-01-30 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-01-30_final
2022-01-30 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2022-01-30_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-01-30 11:33:17	ga_s2bm_ard_3-2-1_51KXS_2022-01-30_final
2022-01-30 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-01-30_final
2022-01-30 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2022-01-30_final
2022-01-30 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-01-30_final
2022-01-30 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-01-30_final
2022-01-30 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-01-30_final
2022-01-30 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-01-30_final
2022-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-01-30_final
2022-01-30 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2022-01-30_final
2022-01-30 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2022-01-30_final
2022-01-30 11:33:59	ga_s2bm_ard_3-2-1_51KXP_2022-01-30_final
2022-01-30 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2022-01-30_final
2022-01-30 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2022-01-30_final
2022-01-30 11:34:43	ga_s2bm_ard_3-2-1_51JTM_2022-01-30_final
2022-01-30 11:34:55	ga_s2bm_ard_3-2-1_51JUL_2022-01-30_final
2022-01-30 11:35:13	ga_s2bm_ard_3-2-1_51JWJ_2022-01-30_final
2022-01-30 11:35:24	ga_s2bm_ard_3-2-1_51JUJ_2022-01-30_final
2022-01-30 11:35:44	ga_s2bm_ard_3-2-1_50JQN_2022-01-30_final
2022-01-30 11:35:50	ga_s2bm_ard_3-2-1_51JVG_2022-01-30_final
2022-01-30 11:36:08	ga_s2bm_ard_3-2-1_51JUF_2022-01-30_final
2022-01-30 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2022-01-30_final
2022-01-30 11:36:22	ga_s2bm_ard_3-2-1_51HUE_2022-01-30_final
2022-01-30 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2022-01-30_final
2022-01-30 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2022-01-30_final
2022-01-30 11:36:40	ga_s2bm_ard_3-2-1_51HTD_2022-01-30_final
2022-01-30 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2022-01-30_final
2022-01-30 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2022-01-30_final
2022-01-30 11:37:09	ga_s2bm_ard_3-2-1_51HTB_2022-01-30_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

Other products

All years