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
2021-08-10 09:41:45	ga_s2bm_ard_3-2-1_56KKF_2021-08-10_final
2021-08-10 09:41:53	ga_s2bm_ard_3-2-1_56KME_2021-08-10_final.stac-item
2021-08-10 09:42:44	ga_s2bm_ard_3-2-1_56KKB_2021-08-10_final
2021-08-10 09:42:47	ga_s2bm_ard_3-2-1_55KGS_2021-08-10_final
2021-08-10 09:42:50	ga_s2bm_ard_3-2-1_56KMA_2021-08-10_final
2021-08-10 09:42:55	ga_s2bm_ard_3-2-1_56KLA_2021-08-10_final
2021-08-10 09:43:09	ga_s2bm_ard_3-2-1_56KLV_2021-08-10_final
2021-08-10 09:43:13	ga_s2bm_ard_3-2-1_56KKV_2021-08-10_final
2021-08-10 09:43:39	ga_s2bm_ard_3-2-1_56JLT_2021-08-10_final
2021-08-10 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2021-08-10_final
2021-08-10 09:43:49	ga_s2bm_ard_3-2-1_55JFN_2021-08-10_final
2021-08-10 09:43:53	ga_s2bm_ard_3-2-1_56JLS_2021-08-10_final
2021-08-10 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2021-08-10_final
2021-08-10 09:44:11	ga_s2bm_ard_3-2-1_56JKR_2021-08-10_final
2021-08-10 09:44:14	ga_s2bm_ard_3-2-1_55JGL_2021-08-10_final
2021-08-10 09:44:17	ga_s2bm_ard_3-2-1_56JLQ_2021-08-10_final
2021-08-10 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2021-08-10_final
2021-08-10 09:44:40	ga_s2bm_ard_3-2-1_56JKP_2021-08-10_final
2021-08-10 09:44:43	ga_s2bm_ard_3-2-1_55JGJ_2021-08-10_final
2021-08-10 09:45:01	ga_s2bm_ard_3-2-1_55JFH_2021-08-10_final
2021-08-10 09:45:05	ga_s2bm_ard_3-2-1_55JEH_2021-08-10_final
2021-08-10 09:45:09	ga_s2bm_ard_3-2-1_56JKM_2021-08-10_final
2021-08-10 09:45:12	ga_s2bm_ard_3-2-1_55JGG_2021-08-10_final
2021-08-10 09:45:23	ga_s2bm_ard_3-2-1_56JKL_2021-08-10_final
2021-08-10 09:45:26	ga_s2bm_ard_3-2-1_55JGF_2021-08-10_final
2021-08-10 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2021-08-10_final
2021-08-10 09:45:59	ga_s2bm_ard_3-2-1_55HFD_2021-08-10_final
2021-08-10 09:46:03	ga_s2bm_ard_3-2-1_55HED_2021-08-10_final
2021-08-10 09:46:06	ga_s2bm_ard_3-2-1_55HDD_2021-08-10_final
2021-08-10 09:46:17	ga_s2bm_ard_3-2-1_55HEC_2021-08-10_final
2021-08-10 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2021-08-10_final
2021-08-10 09:46:28	ga_s2bm_ard_3-2-1_55HCC_2021-08-10_final
2021-08-10 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2021-08-10_final
2021-08-10 09:46:35	ga_s2bm_ard_3-2-1_55HDB_2021-08-10_final
2021-08-10 09:47:20	ga_s2bm_ard_3-2-1_55HFT_2021-08-10_final.stac-item
2021-08-10 09:47:30	ga_s2bm_ard_3-2-1_55HET_2021-08-10_final
2021-08-10 09:47:34	ga_s2bm_ard_3-2-1_55HDT_2021-08-10_final
2021-08-10 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2021-08-10_final
2021-08-10 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2021-08-10_final
2021-08-10 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2021-08-10_final
2021-08-10 09:48:46	ga_s2bm_ard_3-2-1_55GDN_2021-08-10_final
2021-08-10 09:48:50	ga_s2bm_ard_3-2-1_55GCN_2021-08-10_final
2021-08-10 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2021-08-10_final.stac-item
2021-08-10 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2021-08-10_final.stac-item
2021-08-10 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2021-08-10_final.stac-item
2021-08-10 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2021-08-10_final.stac-item
2021-08-10 11:21:22	ga_s2bm_ard_3-2-1_52LCK_2021-08-10_final.stac-item
2021-08-10 11:21:47	ga_s2bm_ard_3-2-1_52LDH_2021-08-10_final
2021-08-10 11:22:09	ga_s2bm_ard_3-2-1_52KBG_2021-08-10_final
2021-08-10 11:22:10	ga_s2bm_ard_3-2-1_51KZB_2021-08-10_final
2021-08-10 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2021-08-10_final
2021-08-10 11:22:23	ga_s2bm_ard_3-2-1_52KBF_2021-08-10_final
2021-08-10 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2021-08-10_final
2021-08-10 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-08-10_final
2021-08-10 11:22:38	ga_s2bm_ard_3-2-1_51KZV_2021-08-10_final
2021-08-10 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2021-08-10_final
2021-08-10 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2021-08-10_final
2021-08-10 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2021-08-10_final
2021-08-10 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2021-08-10_final
2021-08-10 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2021-08-10_final
2021-08-10 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2021-08-10_final
2021-08-10 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-08-10_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2021-08-10_final
2021-08-10 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final
2021-08-10 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-08-10_final
2021-08-10 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2021-08-10_final
2021-08-10 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-08-10_final
2021-08-10 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2021-08-10_final
2021-08-10 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-08-10_final
2021-08-10 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2021-08-10_final
2021-08-10 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2021-08-10_final
2021-08-10 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2021-08-10_final
2021-08-10 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-08-10_final
2021-08-10 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-08-10_final
2021-08-10 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2021-08-10_final
2021-08-10 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-08-10_final
2021-08-10 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-08-10_final
2021-08-10 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-08-10_final
2021-08-10 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-08-10_final
2021-08-10 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2021-08-10_final
2021-08-10 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2021-08-10_final
2021-08-10 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2021-08-10_final
2021-08-10 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-08-10_final
2021-08-10 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-08-10_final
2021-08-10 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-08-10_final
2021-08-10 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-08-10_final
2021-08-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2021-08-10_final
2021-08-10 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-08-10_final
2021-08-10 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-08-10_final
2021-08-10 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-08-10_final
2021-08-10 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-08-10_final.stac-item
2021-08-10 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-08-10_final
2021-08-10 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-08-10_final
2021-08-10 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2021-08-10_final.stac-item
2021-08-10 11:27:04	ga_s2bm_ard_3-2-1_51HWC_2021-08-10_final.stac-item
2021-08-10 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2021-08-10_final
2021-08-10 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2021-08-10_final
2021-08-10 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2021-08-10_final.stac-item
2021-08-10 11:27:11	ga_s2bm_ard_3-2-1_51HVB_2021-08-10_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