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
2020-03-10 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2020-03-10_final
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2020-03-10_final
2020-03-10 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2020-03-10_final
2020-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-10_final
2020-03-10 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2020-03-10_final
2020-03-10 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-03-10_final
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-10_final
2020-03-10 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2020-03-10_final
2020-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-10_final
2020-03-11 09:51:16	ga_s2bm_ard_3-2-1_55LFC_2020-03-11_final
2020-03-11 09:51:23	ga_s2bm_ard_3-2-1_56KKG_2020-03-11_final.stac-item
2020-03-11 09:51:24	ga_s2bm_ard_3-2-1_55KHB_2020-03-11_final.stac-item
2020-03-11 09:51:28	ga_s2bm_ard_3-2-1_55KGB_2020-03-11_final
2020-03-11 09:52:04	ga_s2bm_ard_3-2-1_55KEV_2020-03-11_final
2020-03-11 09:52:11	ga_s2bm_ard_3-2-1_55KGU_2020-03-11_final
2020-03-11 09:52:26	ga_s2bm_ard_3-2-1_55KGT_2020-03-11_final
2020-03-11 09:52:29	ga_s2bm_ard_3-2-1_55KFT_2020-03-11_final
2020-03-11 09:52:33	ga_s2bm_ard_3-2-1_55KET_2020-03-11_final
2020-03-11 09:52:40	ga_s2bm_ard_3-2-1_55KGS_2020-03-11_final
2020-03-11 09:52:58	ga_s2bm_ard_3-2-1_55KFR_2020-03-11_final
2020-03-11 09:53:06	ga_s2bm_ard_3-2-1_55KFR_2020-03-11_final
2020-03-11 09:53:06	ga_s2bm_ard_3-2-1_55KFQ_2020-03-11_final
2020-03-11 09:53:13	ga_s2bm_ard_3-2-1_55KFQ_2020-03-11_final
2020-03-11 09:53:23	ga_s2bm_ard_3-2-1_55KGP_2020-03-11_final
2020-03-11 09:53:41	ga_s2bm_ard_3-2-1_55JFN_2020-03-11_final
2020-03-11 09:53:46	ga_s2bm_ard_3-2-1_55JGM_2020-03-11_final
2020-03-11 09:53:56	ga_s2bm_ard_3-2-1_55JCN_2020-03-11_final
2020-03-11 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2020-03-11_final
2020-03-11 09:54:32	ga_s2bm_ard_3-2-1_55JDK_2020-03-11_final
2020-03-11 09:54:43	ga_s2bm_ard_3-2-1_55JEJ_2020-03-11_final
2020-03-11 09:54:47	ga_s2bm_ard_3-2-1_55JDJ_2020-03-11_final
2020-03-11 09:55:52	ga_s2bm_ard_3-2-1_55HED_2020-03-11_final
2020-03-11 09:55:59	ga_s2bm_ard_3-2-1_55HDD_2020-03-11_final
2020-03-11 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2020-03-11_final
2020-03-11 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2020-03-11_final
2020-03-11 09:56:14	ga_s2bm_ard_3-2-1_55HDC_2020-03-11_final
2020-03-11 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2020-03-11_final
2020-03-11 09:56:22	ga_s2bm_ard_3-2-1_54HYH_2020-03-11_final
2020-03-11 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2020-03-11_final
2020-03-11 09:56:35	ga_s2bm_ard_3-2-1_55HBB_2020-03-11_final
2020-03-11 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2020-03-11_final
2020-03-11 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2020-03-11_final
2020-03-11 09:56:56	ga_s2bm_ard_3-2-1_55HDV_2020-03-11_final
2020-03-11 09:57:01	ga_s2bm_ard_3-2-1_55HCV_2020-03-11_final
2020-03-11 09:57:04	ga_s2bm_ard_3-2-1_55HBV_2020-03-11_final
2020-03-11 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2020-03-11_final
2020-03-11 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2020-03-11_final
2020-03-11 09:57:45	ga_s2bm_ard_3-2-1_55HCS_2020-03-11_final
2020-03-11 09:57:48	ga_s2bm_ard_3-2-1_55HBS_2020-03-11_final
2020-03-11 09:57:49	ga_s2bm_ard_3-2-1_54HYB_2020-03-11_final
2020-03-11 09:57:59	ga_s2bm_ard_3-2-1_55GCR_2020-03-11_final
2020-03-11 09:58:03	ga_s2bm_ard_3-2-1_55GBR_2020-03-11_final
2020-03-11 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2020-03-11_final
2020-03-11 09:58:12	ga_s2bm_ard_3-2-1_55GCQ_2020-03-11_final
2020-03-11 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2020-03-11_final.stac-item
2020-03-11 09:58:17	ga_s2bm_ard_3-2-1_54GYV_2020-03-11_final.stac-item
2020-03-11 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2020-03-11_final
2020-03-11 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2020-03-11_final
2020-03-11 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-03-11_final
2020-03-11 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2020-03-11_final
2020-03-11 11:31:27	ga_s2bm_ard_3-2-1_52LBJ_2020-03-11_final
2020-03-11 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2020-03-11_final
2020-03-11 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2020-03-11_final
2020-03-11 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2020-03-11_final
2020-03-11 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2020-03-11_final
2020-03-11 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2020-03-11_final
2020-03-11 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2020-03-11_final
2020-03-11 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2020-03-11_final
2020-03-11 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2020-03-11_final
2020-03-11 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2020-03-11_final
2020-03-11 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2020-03-11_final
2020-03-11 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-03-11_final
2020-03-11 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2020-03-11_final
2020-03-11 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2020-03-11_final
2020-03-11 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-03-11_final
2020-03-11 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2020-03-11_final
2020-03-11 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2020-03-11_final
2020-03-11 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-11_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-03-11 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2020-03-11_final
2020-03-11 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-03-11 11:33:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-11_final
2020-03-11 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-03-11 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2020-03-11_final
2020-03-11 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2020-03-11_final
2020-03-11 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2020-03-11_final
2020-03-11 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2020-03-11_final
2020-03-11 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2020-03-11_final
2020-03-11 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2020-03-11_final
2020-03-11 11:34:47	ga_s2bm_ard_3-2-1_51JTM_2020-03-11_final
2020-03-11 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2020-03-11_final
2020-03-11 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2020-03-11_final
2020-03-11 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2020-03-11_final
2020-03-11 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2020-03-11_final
2020-03-11 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2020-03-11_final
2020-03-11 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2020-03-11_final
2020-03-11 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-11_final
2020-03-11 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-11_final
2020-03-11 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-03-11_final
2020-03-11 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2020-03-11_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