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
2022-08-04 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2022-08-04_final
2022-08-04 11:54:56	ga_s2bm_ard_3-2-1_50JNS_2022-08-04_final.stac-item
2022-08-04 11:55:02	ga_s2bm_ard_3-2-1_50JLS_2022-08-04_final
2022-08-04 11:55:20	ga_s2bm_ard_3-2-1_50JPQ_2022-08-04_final.stac-item
2022-08-04 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-08-04_final.stac-item
2022-08-04 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-08-04_final.stac-item
2022-08-04 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2022-08-04_final
2022-08-04 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2022-08-04_final
2022-08-04 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-08-04_final
2022-08-04 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2022-08-04_final
2022-08-04 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-08-04_final
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final
2022-08-05 09:41:49	ga_s2bm_ard_3-2-1_56KKF_2022-08-05_final
2022-08-05 09:41:57	ga_s2bm_ard_3-2-1_56KME_2022-08-05_final.stac-item
2022-08-05 09:42:41	ga_s2bm_ard_3-2-1_56KMB_2022-08-05_final.stac-item
2022-08-05 09:42:44	ga_s2bm_ard_3-2-1_56KLB_2022-08-05_final
2022-08-05 09:42:54	ga_s2bm_ard_3-2-1_56KMA_2022-08-05_final
2022-08-05 09:43:06	ga_s2bm_ard_3-2-1_55KGR_2022-08-05_final
2022-08-05 09:43:16	ga_s2bm_ard_3-2-1_56KKV_2022-08-05_final
2022-08-05 09:43:20	ga_s2bm_ard_3-2-1_55KGQ_2022-08-05_final
2022-08-05 09:43:27	ga_s2bm_ard_3-2-1_56KLU_2022-08-05_final
2022-08-05 09:43:31	ga_s2bm_ard_3-2-1_56KKU_2022-08-05_final
2022-08-05 09:43:35	ga_s2bm_ard_3-2-1_55KGP_2022-08-05_final
2022-08-05 09:43:46	ga_s2bm_ard_3-2-1_56JKT_2022-08-05_final
2022-08-05 09:43:49	ga_s2bm_ard_3-2-1_55JGN_2022-08-05_final
2022-08-05 09:43:57	ga_s2bm_ard_3-2-1_56JLS_2022-08-05_final
2022-08-05 09:44:00	ga_s2bm_ard_3-2-1_56JKS_2022-08-05_final
2022-08-05 09:44:04	ga_s2bm_ard_3-2-1_55JGM_2022-08-05_final
2022-08-05 09:44:07	ga_s2bm_ard_3-2-1_55JFM_2022-08-05_final
2022-08-05 09:44:18	ga_s2bm_ard_3-2-1_55JGL_2022-08-05_final
2022-08-05 09:44:20	ga_s2bm_ard_3-2-1_56JLQ_2022-08-05_final
2022-08-05 09:44:36	ga_s2bm_ard_3-2-1_55JFK_2022-08-05_final
2022-08-05 09:45:05	ga_s2bm_ard_3-2-1_55JFH_2022-08-05_final
2022-08-05 09:45:09	ga_s2bm_ard_3-2-1_55JEH_2022-08-05_final
2022-08-05 09:45:13	ga_s2bm_ard_3-2-1_56JKM_2022-08-05_final
2022-08-05 09:45:16	ga_s2bm_ard_3-2-1_55JGG_2022-08-05_final
2022-08-05 09:45:19	ga_s2bm_ard_3-2-1_55JFG_2022-08-05_final
2022-08-05 09:45:26	ga_s2bm_ard_3-2-1_56JKL_2022-08-05_final
2022-08-05 09:45:30	ga_s2bm_ard_3-2-1_55JGF_2022-08-05_final
2022-08-05 09:45:37	ga_s2bm_ard_3-2-1_55JEF_2022-08-05_final
2022-08-05 09:45:42	ga_s2bm_ard_3-2-1_55JDF_2022-08-05_final
2022-08-05 09:45:48	ga_s2bm_ard_3-2-1_55HFE_2022-08-05_final
2022-08-05 09:46:03	ga_s2bm_ard_3-2-1_55HFD_2022-08-05_final
2022-08-05 09:46:07	ga_s2bm_ard_3-2-1_55HED_2022-08-05_final
2022-08-05 09:46:10	ga_s2bm_ard_3-2-1_55HDD_2022-08-05_final
2022-08-05 09:46:12	ga_s2bm_ard_3-2-1_55HGC_2022-08-05_final
2022-08-05 09:46:17	ga_s2bm_ard_3-2-1_55HFC_2022-08-05_final
2022-08-05 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2022-08-05_final
2022-08-05 09:46:32	ga_s2bm_ard_3-2-1_55HCC_2022-08-05_final
2022-08-05 09:47:24	ga_s2bm_ard_3-2-1_55HFT_2022-08-05_final.stac-item
2022-08-05 09:47:33	ga_s2bm_ard_3-2-1_55HET_2022-08-05_final
2022-08-05 09:47:37	ga_s2bm_ard_3-2-1_55HDT_2022-08-05_final
2022-08-05 09:47:41	ga_s2bm_ard_3-2-1_55HCT_2022-08-05_final
2022-08-05 09:47:45	ga_s2bm_ard_3-2-1_55HBT_2022-08-05_final
2022-08-05 09:47:49	ga_s2bm_ard_3-2-1_54HYC_2022-08-05_final
2022-08-05 09:47:52	ga_s2bm_ard_3-2-1_55HDS_2022-08-05_final
2022-08-05 09:47:55	ga_s2bm_ard_3-2-1_55HCS_2022-08-05_final
2022-08-05 09:47:58	ga_s2bm_ard_3-2-1_55HBS_2022-08-05_final
2022-08-05 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2022-08-05_final
2022-08-05 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2022-08-05_final
2022-08-05 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2022-08-05_final
2022-08-05 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2022-08-05_final
2022-08-05 09:48:48	ga_s2bm_ard_3-2-1_55GDN_2022-08-05_final
2022-08-05 09:48:50	ga_s2bm_ard_3-2-1_55GCN_2022-08-05_final
2022-08-05 09:48:55	ga_s2bm_ard_3-2-1_55GDN_2022-08-05_final
2022-08-05 09:48:56	ga_s2bm_ard_3-2-1_55GCN_2022-08-05_final
2022-08-05 09:49:02	ga_s2bm_ard_3-2-1_55GDM_2022-08-05_final.stac-item
2022-08-05 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2022-08-05_final.stac-item
2022-08-05 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2022-08-05_final
2022-08-05 11:21:51	ga_s2bm_ard_3-2-1_52LDH_2022-08-05_final
2022-08-05 11:22:27	ga_s2bm_ard_3-2-1_52KBF_2022-08-05_final
2022-08-05 11:22:28	ga_s2bm_ard_3-2-1_51KZA_2022-08-05_final
2022-08-05 11:22:31	ga_s2bm_ard_3-2-1_51KYA_2022-08-05_final
2022-08-05 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-08-05_final
2022-08-05 11:23:58	ga_s2bm_ard_3-2-1_51KYQ_2022-08-05_final
2022-08-05 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2022-08-05_final
2022-08-05 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2022-08-05_final
2022-08-05 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2022-08-05_final
2022-08-05 11:24:16	ga_s2bm_ard_3-2-1_51KXP_2022-08-05_final
2022-08-05 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2022-08-05_final
2022-08-05 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2022-08-05_final
2022-08-05 11:24:37	ga_s2bm_ard_3-2-1_52JBS_2022-08-05_final
2022-08-05 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2022-08-05_final
2022-08-05 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2022-08-05_final
2022-08-05 11:24:48	ga_s2bm_ard_3-2-1_52JBR_2022-08-05_final
2022-08-05 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2022-08-05_final
2022-08-05 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2022-08-05_final
2022-08-05 11:25:43	ga_s2bm_ard_3-2-1_51JXH_2022-08-05_final
2022-08-05 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2022-08-05_final
2022-08-05 11:25:57	ga_s2bm_ard_3-2-1_51JXG_2022-08-05_final
2022-08-05 11:26:26	ga_s2bm_ard_3-2-1_51HXE_2022-08-05_final
2022-08-05 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2022-08-05_final
2022-08-05 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2022-08-05_final
2022-08-05 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-08-05_final
2022-08-05 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2022-08-05_final
2022-08-05 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-08-05_final
2022-08-05 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2022-08-05_final.stac-item
2022-08-05 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2022-08-05_final
2022-08-05 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2022-08-05_final
2022-08-05 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2022-08-05_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