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
2019-05-22 11:54:52	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-05-22_final
2019-05-22 11:55:29	ga_s2bm_ard_3-2-1_50JNQ_2019-05-22_final
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final
2019-05-22 11:55:58	ga_s2bm_ard_3-2-1_50JNN_2019-05-22_final
2019-05-22 11:56:02	ga_s2bm_ard_3-2-1_50JMN_2019-05-22_final
2019-05-22 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-05-22_final
2019-05-22 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2019-05-22_final
2019-05-22 11:56:31	ga_s2bm_ard_3-2-1_50JML_2019-05-22_final
2019-05-22 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-05-22_final
2019-05-22 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-05-22_final
2019-05-22 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-05-22_final
2019-05-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-22_final
2019-05-22 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-05-22_final.stac-item
2019-05-23 09:41:41	ga_s2bm_ard_3-2-1_55KHB_2019-05-23_final.stac-item
2019-05-23 09:42:01	ga_s2bm_ard_3-2-1_56KME_2019-05-23_final.stac-item
2019-05-23 09:42:42	ga_s2bm_ard_3-2-1_55KGT_2019-05-23_final
2019-05-23 09:42:48	ga_s2bm_ard_3-2-1_56KLB_2019-05-23_final
2019-05-23 09:42:58	ga_s2bm_ard_3-2-1_56KMA_2019-05-23_final
2019-05-23 09:43:06	ga_s2bm_ard_3-2-1_56KKA_2019-05-23_final
2019-05-23 09:43:10	ga_s2bm_ard_3-2-1_55KGR_2019-05-23_final
2019-05-23 09:43:43	ga_s2bm_ard_3-2-1_55KFP_2019-05-23_final
2019-05-23 09:44:01	ga_s2bm_ard_3-2-1_56JLS_2019-05-23_final
2019-05-23 09:44:19	ga_s2bm_ard_3-2-1_56JKR_2019-05-23_final
2019-05-23 09:44:22	ga_s2bm_ard_3-2-1_55JGL_2019-05-23_final
2019-05-23 09:44:32	ga_s2bm_ard_3-2-1_56JKQ_2019-05-23_final
2019-05-23 09:44:34	ga_s2bm_ard_3-2-1_55JGK_2019-05-23_final
2019-05-23 09:44:37	ga_s2bm_ard_3-2-1_55JEK_2019-05-23_final
2019-05-23 09:44:39	ga_s2bm_ard_3-2-1_56JKQ_2019-05-23_final
2019-05-23 09:44:40	ga_s2bm_ard_3-2-1_55JGK_2019-05-23_final
2019-05-23 09:44:45	ga_s2bm_ard_3-2-1_55JEK_2019-05-23_final
2019-05-23 09:44:48	ga_s2bm_ard_3-2-1_56JKP_2019-05-23_final
2019-05-23 09:44:51	ga_s2bm_ard_3-2-1_55JGJ_2019-05-23_final
2019-05-23 09:45:13	ga_s2bm_ard_3-2-1_55JEH_2019-05-23_final
2019-05-23 09:45:17	ga_s2bm_ard_3-2-1_56JKM_2019-05-23_final
2019-05-23 09:45:20	ga_s2bm_ard_3-2-1_55JGG_2019-05-23_final
2019-05-23 09:45:27	ga_s2bm_ard_3-2-1_55JEG_2019-05-23_final
2019-05-23 09:45:35	ga_s2bm_ard_3-2-1_55JDG_2019-05-23_final
2019-05-23 09:45:38	ga_s2bm_ard_3-2-1_55JFF_2019-05-23_final
2019-05-23 09:45:41	ga_s2bm_ard_3-2-1_56HKK_2019-05-23_final
2019-05-23 09:45:42	ga_s2bm_ard_3-2-1_55JEF_2019-05-23_final
2019-05-23 09:45:46	ga_s2bm_ard_3-2-1_55JDF_2019-05-23_final
2019-05-23 09:45:56	ga_s2bm_ard_3-2-1_55HEE_2019-05-23_final
2019-05-23 09:45:59	ga_s2bm_ard_3-2-1_55HDE_2019-05-23_final
2019-05-23 09:46:03	ga_s2bm_ard_3-2-1_55HGD_2019-05-23_final
2019-05-23 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-05-23_final
2019-05-23 09:46:14	ga_s2bm_ard_3-2-1_55HDD_2019-05-23_final
2019-05-23 09:46:16	ga_s2bm_ard_3-2-1_55HGC_2019-05-23_final
2019-05-23 09:46:25	ga_s2bm_ard_3-2-1_55HEC_2019-05-23_final
2019-05-23 09:46:29	ga_s2bm_ard_3-2-1_55HDC_2019-05-23_final
2019-05-23 09:46:40	ga_s2bm_ard_3-2-1_55HEB_2019-05-23_final
2019-05-23 09:46:43	ga_s2bm_ard_3-2-1_55HDB_2019-05-23_final
2019-05-23 09:46:47	ga_s2bm_ard_3-2-1_55HCB_2019-05-23_final
2019-05-23 09:46:54	ga_s2bm_ard_3-2-1_55HEA_2019-05-23_final
2019-05-23 09:46:58	ga_s2bm_ard_3-2-1_55HDA_2019-05-23_final
2019-05-23 09:47:52	ga_s2bm_ard_3-2-1_55HES_2019-05-23_final
2019-05-23 09:47:56	ga_s2bm_ard_3-2-1_55HDS_2019-05-23_final
2019-05-23 09:47:59	ga_s2bm_ard_3-2-1_55HCS_2019-05-23_final
2019-05-23 09:48:02	ga_s2bm_ard_3-2-1_55HBS_2019-05-23_final
2019-05-23 09:48:03	ga_s2bm_ard_3-2-1_54HYB_2019-05-23_final
2019-05-23 09:48:30	ga_s2bm_ard_3-2-1_55GEP_2019-05-23_final
2019-05-23 09:48:39	ga_s2bm_ard_3-2-1_55GDP_2019-05-23_final
2019-05-23 09:48:43	ga_s2bm_ard_3-2-1_55GCP_2019-05-23_final
2019-05-23 09:48:54	ga_s2bm_ard_3-2-1_55GDN_2019-05-23_final
2019-05-23 09:48:57	ga_s2bm_ard_3-2-1_55GCN_2019-05-23_final
2019-05-23 09:49:08	ga_s2bm_ard_3-2-1_55GDM_2019-05-23_final.stac-item
2019-05-23 09:49:10	ga_s2bm_ard_3-2-1_55GCM_2019-05-23_final.stac-item
2019-05-23 11:21:33	ga_s2bm_ard_3-2-1_52LBK_2019-05-23_final
2019-05-23 11:21:34	ga_s2bm_ard_3-2-1_51LZE_2019-05-23_final
2019-05-23 11:21:47	ga_s2bm_ard_3-2-1_52LBJ_2019-05-23_final
2019-05-23 11:21:49	ga_s2bm_ard_3-2-1_51LZD_2019-05-23_final
2019-05-23 11:21:55	ga_s2bm_ard_3-2-1_52LDH_2019-05-23_final
2019-05-23 11:21:59	ga_s2bm_ard_3-2-1_52LCH_2019-05-23_final
2019-05-23 11:22:17	ga_s2bm_ard_3-2-1_51KZB_2019-05-23_final
2019-05-23 11:23:11	ga_s2bm_ard_3-2-1_52KCC_2019-05-23_final
2019-05-23 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-05-23_final
2019-05-23 11:23:29	ga_s2bm_ard_3-2-1_52KBB_2019-05-23_final
2019-05-23 11:24:20	ga_s2bm_ard_3-2-1_51KXP_2019-05-23_final
2019-05-23 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-05-23_final
2019-05-23 11:24:45	ga_s2bm_ard_3-2-1_51JYM_2019-05-23_final
2019-05-23 11:24:52	ga_s2bm_ard_3-2-1_52JBR_2019-05-23_final
2019-05-23 11:25:14	ga_s2bm_ard_3-2-1_51JYK_2019-05-23_final
2019-05-23 11:25:22	ga_s2bm_ard_3-2-1_51JWK_2019-05-23_final
2019-05-23 11:25:25	ga_s2bm_ard_3-2-1_51JVK_2019-05-23_final
2019-05-23 11:25:29	ga_s2bm_ard_3-2-1_51JYJ_2019-05-23_final
2019-05-23 11:25:51	ga_s2bm_ard_3-2-1_51JWH_2019-05-23_final
2019-05-23 11:25:53	ga_s2bm_ard_3-2-1_51JYG_2019-05-23_final
2019-05-23 11:25:54	ga_s2bm_ard_3-2-1_51JVH_2019-05-23_final
2019-05-23 11:26:16	ga_s2bm_ard_3-2-1_51JXF_2019-05-23_final
2019-05-23 11:26:20	ga_s2bm_ard_3-2-1_51JWF_2019-05-23_final
2019-05-23 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-05-23_final
2019-05-23 11:26:26	ga_s2bm_ard_3-2-1_51JUF_2019-05-23_final
2019-05-23 11:26:34	ga_s2bm_ard_3-2-1_51HWE_2019-05-23_final
2019-05-23 11:26:38	ga_s2bm_ard_3-2-1_51HVE_2019-05-23_final
2019-05-23 11:26:49	ga_s2bm_ard_3-2-1_51HWD_2019-05-23_final
2019-05-23 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2019-05-23_final.stac-item
2019-05-23 11:27:16	ga_s2bm_ard_3-2-1_51HTC_2019-05-23_final
2019-05-23 11:27:17	ga_s2bm_ard_3-2-1_51HWB_2019-05-23_final.stac-item
2019-05-23 11:27:19	ga_s2bm_ard_3-2-1_51HVB_2019-05-23_final.stac-item
2019-05-23 11:27:21	ga_s2bm_ard_3-2-1_51HUB_2019-05-23_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