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
2020-12-22 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-12-22_final
2020-12-22 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2020-12-22_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-22 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-22_final
2020-12-23 09:41:23	ga_s2bm_ard_3-2-1_56KLG_2020-12-23_final.stac-item
2020-12-23 09:41:26	ga_s2bm_ard_3-2-1_56KKG_2020-12-23_final.stac-item
2020-12-23 09:41:41	ga_s2bm_ard_3-2-1_56KKF_2020-12-23_final
2020-12-23 09:41:49	ga_s2bm_ard_3-2-1_56KME_2020-12-23_final.stac-item
2020-12-23 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2020-12-23_final.stac-item
2020-12-23 09:42:30	ga_s2bm_ard_3-2-1_55KGT_2020-12-23_final
2020-12-23 09:42:33	ga_s2bm_ard_3-2-1_56KMB_2020-12-23_final.stac-item
2020-12-23 09:42:36	ga_s2bm_ard_3-2-1_56KLB_2020-12-23_final
2020-12-23 09:42:40	ga_s2bm_ard_3-2-1_56KKB_2020-12-23_final
2020-12-23 09:42:43	ga_s2bm_ard_3-2-1_55KGS_2020-12-23_final
2020-12-23 09:42:46	ga_s2bm_ard_3-2-1_56KMA_2020-12-23_final
2020-12-23 09:42:51	ga_s2bm_ard_3-2-1_56KLA_2020-12-23_final
2020-12-23 09:42:54	ga_s2bm_ard_3-2-1_56KKA_2020-12-23_final
2020-12-23 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2020-12-23_final
2020-12-23 09:42:58	ga_s2bm_ard_3-2-1_55KGR_2020-12-23_final
2020-12-23 09:43:05	ga_s2bm_ard_3-2-1_56KLV_2020-12-23_final
2020-12-23 09:43:23	ga_s2bm_ard_3-2-1_56KKU_2020-12-23_final
2020-12-23 09:43:27	ga_s2bm_ard_3-2-1_55KGP_2020-12-23_final
2020-12-23 09:43:31	ga_s2bm_ard_3-2-1_55KFP_2020-12-23_final
2020-12-23 09:43:38	ga_s2bm_ard_3-2-1_56JKT_2020-12-23_final
2020-12-23 09:43:41	ga_s2bm_ard_3-2-1_55JGN_2020-12-23_final
2020-12-23 09:43:49	ga_s2bm_ard_3-2-1_56JLS_2020-12-23_final
2020-12-23 09:43:52	ga_s2bm_ard_3-2-1_55JHM_2020-12-23_final
2020-12-23 09:43:52	ga_s2bm_ard_3-2-1_56JKS_2020-12-23_final
2020-12-23 09:43:56	ga_s2bm_ard_3-2-1_55JGM_2020-12-23_final
2020-12-23 09:43:59	ga_s2bm_ard_3-2-1_55JFM_2020-12-23_final
2020-12-23 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2020-12-23_final
2020-12-23 09:44:07	ga_s2bm_ard_3-2-1_56JKR_2020-12-23_final
2020-12-23 09:44:10	ga_s2bm_ard_3-2-1_55JGL_2020-12-23_final
2020-12-23 09:44:13	ga_s2bm_ard_3-2-1_56JLQ_2020-12-23_final
2020-12-23 09:44:14	ga_s2bm_ard_3-2-1_55JFL_2020-12-23_final
2020-12-23 09:44:28	ga_s2bm_ard_3-2-1_55JFK_2020-12-23_final
2020-12-23 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2020-12-23_final
2020-12-23 09:44:46	ga_s2bm_ard_3-2-1_55JEJ_2020-12-23_final
2020-12-23 09:44:57	ga_s2bm_ard_3-2-1_55JFH_2020-12-23_final
2020-12-23 09:45:05	ga_s2bm_ard_3-2-1_56JKM_2020-12-23_final
2020-12-23 09:45:08	ga_s2bm_ard_3-2-1_55JGG_2020-12-23_final
2020-12-23 09:45:12	ga_s2bm_ard_3-2-1_55JFG_2020-12-23_final
2020-12-23 09:45:18	ga_s2bm_ard_3-2-1_56JKL_2020-12-23_final
2020-12-23 09:45:22	ga_s2bm_ard_3-2-1_55JGF_2020-12-23_final
2020-12-23 09:45:30	ga_s2bm_ard_3-2-1_55JEF_2020-12-23_final
2020-12-23 09:45:34	ga_s2bm_ard_3-2-1_55JDF_2020-12-23_final
2020-12-23 09:45:41	ga_s2bm_ard_3-2-1_55HFE_2020-12-23_final
2020-12-23 09:45:51	ga_s2bm_ard_3-2-1_55HGD_2020-12-23_final
2020-12-23 09:45:55	ga_s2bm_ard_3-2-1_55HFD_2020-12-23_final
2020-12-23 09:45:59	ga_s2bm_ard_3-2-1_55HED_2020-12-23_final
2020-12-23 09:46:02	ga_s2bm_ard_3-2-1_55HDD_2020-12-23_final
2020-12-23 09:46:04	ga_s2bm_ard_3-2-1_55HGC_2020-12-23_final
2020-12-23 09:46:09	ga_s2bm_ard_3-2-1_55HFC_2020-12-23_final
2020-12-23 09:46:13	ga_s2bm_ard_3-2-1_55HEC_2020-12-23_final
2020-12-23 09:46:14	ga_s2bm_ard_3-2-1_55HGB_2020-12-23_final
2020-12-23 09:46:17	ga_s2bm_ard_3-2-1_55HDC_2020-12-23_final
2020-12-23 09:46:24	ga_s2bm_ard_3-2-1_55HCC_2020-12-23_final
2020-12-23 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2020-12-23_final
2020-12-23 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2020-12-23_final
2020-12-23 09:47:06	ga_s2bm_ard_3-2-1_55HFU_2020-12-23_final.stac-item
2020-12-23 09:47:11	ga_s2bm_ard_3-2-1_55HEU_2020-12-23_final
2020-12-23 09:47:33	ga_s2bm_ard_3-2-1_55HCT_2020-12-23_final
2020-12-23 09:47:37	ga_s2bm_ard_3-2-1_55HBT_2020-12-23_final
2020-12-23 09:47:40	ga_s2bm_ard_3-2-1_55HES_2020-12-23_final
2020-12-23 09:47:41	ga_s2bm_ard_3-2-1_54HYC_2020-12-23_final
2020-12-23 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2020-12-23_final
2020-12-23 09:47:47	ga_s2bm_ard_3-2-1_55HCS_2020-12-23_final
2020-12-23 09:47:50	ga_s2bm_ard_3-2-1_55HBS_2020-12-23_final
2020-12-23 09:47:52	ga_s2bm_ard_3-2-1_54HYB_2020-12-23_final
2020-12-23 09:48:05	ga_s2bm_ard_3-2-1_55GEQ_2020-12-23_final
2020-12-23 09:48:07	ga_s2bm_ard_3-2-1_55GDQ_2020-12-23_final
2020-12-23 09:48:09	ga_s2bm_ard_3-2-1_55GCQ_2020-12-23_final
2020-12-23 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2020-12-23_final
2020-12-23 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2020-12-23_final
2020-12-23 09:48:16	ga_s2bm_ard_3-2-1_55GCQ_2020-12-23_final
2020-12-23 09:48:19	ga_s2bm_ard_3-2-1_55GEP_2020-12-23_final
2020-12-23 09:48:20	ga_s2bm_ard_3-2-1_55GBQ_2020-12-23_final.stac-item
2020-12-23 09:48:20	ga_s2bm_ard_3-2-1_54GYV_2020-12-23_final.stac-item
2020-12-23 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2020-12-23_final
2020-12-23 09:48:31	ga_s2bm_ard_3-2-1_55GCP_2020-12-23_final
2020-12-23 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2020-12-23_final
2020-12-23 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2020-12-23_final
2020-12-23 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2020-12-23_final.stac-item
2020-12-23 11:21:18	ga_s2bm_ard_3-2-1_52LCK_2020-12-23_final.stac-item
2020-12-23 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2020-12-23_final
2020-12-23 11:21:22	ga_s2bm_ard_3-2-1_51LZE_2020-12-23_final
2020-12-23 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-12-23_final
2020-12-23 11:21:32	ga_s2bm_ard_3-2-1_52LCJ_2020-12-23_final
2020-12-23 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2020-12-23_final
2020-12-23 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2020-12-23_final
2020-12-23 11:21:43	ga_s2bm_ard_3-2-1_52LDH_2020-12-23_final
2020-12-23 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2020-12-23_final
2020-12-23 11:21:50	ga_s2bm_ard_3-2-1_52LBH_2020-12-23_final
2020-12-23 11:21:51	ga_s2bm_ard_3-2-1_51LZC_2020-12-23_final
2020-12-23 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2020-12-23_final
2020-12-23 11:22:01	ga_s2bm_ard_3-2-1_52KCG_2020-12-23_final
2020-12-23 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2020-12-23_final
2020-12-23 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2020-12-23_final
2020-12-23 11:22:14	ga_s2bm_ard_3-2-1_52KBF_2020-12-23_final
2020-12-23 11:22:14	ga_s2bm_ard_3-2-1_51KZA_2020-12-23_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