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
2020-02-06 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2020-02-06_final
2020-02-06 11:57:14	ga_s2bm_ard_3-2-1_50HMG_2020-02-06_final.stac-item
2020-02-07 09:41:32	ga_s2bm_ard_3-2-1_56KMF_2020-02-07_final.stac-item
2020-02-07 09:42:30	ga_s2bm_ard_3-2-1_56KMB_2020-02-07_final.stac-item
2020-02-07 09:42:34	ga_s2bm_ard_3-2-1_56KLB_2020-02-07_final
2020-02-07 09:42:48	ga_s2bm_ard_3-2-1_56KLA_2020-02-07_final
2020-02-07 09:43:35	ga_s2bm_ard_3-2-1_56JKT_2020-02-07_final
2020-02-07 09:43:39	ga_s2bm_ard_3-2-1_55JGN_2020-02-07_final
2020-02-07 09:43:46	ga_s2bm_ard_3-2-1_56JLS_2020-02-07_final
2020-02-07 09:43:57	ga_s2bm_ard_3-2-1_55JFM_2020-02-07_final
2020-02-07 09:44:00	ga_s2bm_ard_3-2-1_56JLR_2020-02-07_final
2020-02-07 09:44:11	ga_s2bm_ard_3-2-1_55JFL_2020-02-07_final
2020-02-07 09:44:19	ga_s2bm_ard_3-2-1_55JEL_2020-02-07_final
2020-02-07 09:44:30	ga_s2bm_ard_3-2-1_55JEK_2020-02-07_final
2020-02-07 09:44:40	ga_s2bm_ard_3-2-1_55JFJ_2020-02-07_final
2020-02-07 09:44:43	ga_s2bm_ard_3-2-1_55JEJ_2020-02-07_final
2020-02-07 09:44:48	ga_s2bm_ard_3-2-1_56JKN_2020-02-07_final
2020-02-07 09:44:51	ga_s2bm_ard_3-2-1_55JGH_2020-02-07_final
2020-02-07 09:45:13	ga_s2bm_ard_3-2-1_55JEG_2020-02-07_final
2020-02-07 09:45:20	ga_s2bm_ard_3-2-1_55JDG_2020-02-07_final
2020-02-07 09:45:27	ga_s2bm_ard_3-2-1_55JEF_2020-02-07_final
2020-02-07 09:45:31	ga_s2bm_ard_3-2-1_55JDF_2020-02-07_final
2020-02-07 09:45:49	ga_s2bm_ard_3-2-1_55HGD_2020-02-07_final
2020-02-07 09:46:01	ga_s2bm_ard_3-2-1_55HGC_2020-02-07_final
2020-02-07 09:46:10	ga_s2bm_ard_3-2-1_55HEC_2020-02-07_final
2020-02-07 09:46:11	ga_s2bm_ard_3-2-1_55HDC_2020-02-07_final
2020-02-07 09:46:11	ga_s2bm_ard_3-2-1_55HGB_2020-02-07_final
2020-02-07 09:46:13	ga_s2bm_ard_3-2-1_55HGB_2020-02-07_final
2020-02-07 09:46:16	ga_s2bm_ard_3-2-1_55HEB_2020-02-07_final
2020-02-07 09:46:16	ga_s2bm_ard_3-2-1_55HEC_2020-02-07_final
2020-02-07 09:46:18	ga_s2bm_ard_3-2-1_55HDC_2020-02-07_final
2020-02-07 09:46:25	ga_s2bm_ard_3-2-1_55HEB_2020-02-07_final
2020-02-07 09:46:29	ga_s2bm_ard_3-2-1_55HDB_2020-02-07_final
2020-02-07 09:46:36	ga_s2bm_ard_3-2-1_55HFA_2020-02-07_final
2020-02-07 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2020-02-07_final
2020-02-07 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2020-02-07_final
2020-02-07 09:46:46	ga_s2bm_ard_3-2-1_55HCA_2020-02-07_final
2020-02-07 09:46:50	ga_s2bm_ard_3-2-1_55HFV_2020-02-07_final
2020-02-07 09:46:54	ga_s2bm_ard_3-2-1_55HEV_2020-02-07_final
2020-02-07 09:46:58	ga_s2bm_ard_3-2-1_55HDV_2020-02-07_final
2020-02-07 09:47:01	ga_s2bm_ard_3-2-1_55HCV_2020-02-07_final
2020-02-07 09:47:38	ga_s2bm_ard_3-2-1_55HES_2020-02-07_final
2020-02-07 09:47:41	ga_s2bm_ard_3-2-1_55HDS_2020-02-07_final
2020-02-07 09:47:45	ga_s2bm_ard_3-2-1_55HCS_2020-02-07_final
2020-02-07 09:47:48	ga_s2bm_ard_3-2-1_55HBS_2020-02-07_final
2020-02-07 09:47:49	ga_s2bm_ard_3-2-1_54HYB_2020-02-07_final
2020-02-07 09:47:52	ga_s2bm_ard_3-2-1_55GER_2020-02-07_final
2020-02-07 09:47:56	ga_s2bm_ard_3-2-1_55GDR_2020-02-07_final
2020-02-07 09:47:59	ga_s2bm_ard_3-2-1_55GCR_2020-02-07_final
2020-02-07 09:48:03	ga_s2bm_ard_3-2-1_55GBR_2020-02-07_final
2020-02-07 09:48:03	ga_s2bm_ard_3-2-1_54GYA_2020-02-07_final
2020-02-07 09:48:05	ga_s2bm_ard_3-2-1_55GEQ_2020-02-07_final
2020-02-07 09:48:10	ga_s2bm_ard_3-2-1_55GDQ_2020-02-07_final
2020-02-07 09:48:14	ga_s2bm_ard_3-2-1_55GCQ_2020-02-07_final
2020-02-07 09:48:16	ga_s2bm_ard_3-2-1_55GEP_2020-02-07_final
2020-02-07 09:48:17	ga_s2bm_ard_3-2-1_55GBQ_2020-02-07_final.stac-item
2020-02-07 09:48:17	ga_s2bm_ard_3-2-1_54GYV_2020-02-07_final.stac-item
2020-02-07 09:48:25	ga_s2bm_ard_3-2-1_55GDP_2020-02-07_final
2020-02-07 09:48:29	ga_s2bm_ard_3-2-1_55GCP_2020-02-07_final
2020-02-07 11:21:47	ga_s2bm_ard_3-2-1_52LBH_2020-02-07_final
2020-02-07 11:21:48	ga_s2bm_ard_3-2-1_51LZC_2020-02-07_final
2020-02-07 11:21:53	ga_s2bm_ard_3-2-1_51LYC_2020-02-07_final
2020-02-07 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2020-02-07_final
2020-02-07 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2020-02-07_final
2020-02-07 11:22:35	ga_s2bm_ard_3-2-1_51KYV_2020-02-07_final
2020-02-07 11:22:42	ga_s2bm_ard_3-2-1_52KCD_2020-02-07_final
2020-02-07 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2020-02-07_final
2020-02-07 11:22:57	ga_s2bm_ard_3-2-1_52KCC_2020-02-07_final
2020-02-07 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2020-02-07_final
2020-02-07 11:23:22	ga_s2bm_ard_3-2-1_52KCA_2020-02-07_final
2020-02-07 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2020-02-07_final
2020-02-07 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2020-02-07_final
2020-02-07 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2020-02-07_final
2020-02-07 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2020-02-07_final
2020-02-07 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2020-02-07_final
2020-02-07 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2020-02-07_final
2020-02-07 11:24:49	ga_s2bm_ard_3-2-1_51JXL_2020-02-07_final
2020-02-07 11:24:53	ga_s2bm_ard_3-2-1_51JWL_2020-02-07_final
2020-02-07 11:24:58	ga_s2bm_ard_3-2-1_51JVL_2020-02-07_final
2020-02-07 11:25:07	ga_s2bm_ard_3-2-1_51JWK_2020-02-07_final
2020-02-07 11:25:10	ga_s2bm_ard_3-2-1_51JVK_2020-02-07_final
2020-02-07 11:25:14	ga_s2bm_ard_3-2-1_51JXJ_2020-02-07_final
2020-02-07 11:25:16	ga_s2bm_ard_3-2-1_51JWJ_2020-02-07_final
2020-02-07 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2020-02-07_final
2020-02-07 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2020-02-07_final
2020-02-07 11:25:17	ga_s2bm_ard_3-2-1_51JVJ_2020-02-07_final
2020-02-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2020-02-07_final
2020-02-07 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2020-02-07_final
2020-02-07 11:25:25	ga_s2bm_ard_3-2-1_51JVJ_2020-02-07_final
2020-02-07 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2020-02-07_final
2020-02-07 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2020-02-07_final
2020-02-07 11:25:54	ga_s2bm_ard_3-2-1_51JVG_2020-02-07_final
2020-02-07 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2020-02-07_final
2020-02-07 11:26:09	ga_s2bm_ard_3-2-1_51JVF_2020-02-07_final
2020-02-07 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2020-02-07_final.stac-item
2020-02-07 11:26:48	ga_s2bm_ard_3-2-1_51HWC_2020-02-07_final.stac-item
2020-02-07 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2020-02-07_final
2020-02-07 11:27:02	ga_s2bm_ard_3-2-1_51HWB_2020-02-07_final.stac-item
2020-02-07 11:27:04	ga_s2bm_ard_3-2-1_51HVB_2020-02-07_final.stac-item
2020-02-07 11:27:06	ga_s2bm_ard_3-2-1_51HUB_2020-02-07_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