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
2021-08-30 09:45:27	ga_s2bm_ard_3-2-1_55JFF_2021-08-30_final
2021-08-30 09:45:30	ga_s2bm_ard_3-2-1_56HKK_2021-08-30_final
2021-08-30 09:45:37	ga_s2bm_ard_3-2-1_55HGE_2021-08-30_final
2021-08-30 09:45:41	ga_s2bm_ard_3-2-1_55HFE_2021-08-30_final
2021-08-30 09:45:45	ga_s2bm_ard_3-2-1_55HEE_2021-08-30_final
2021-08-30 09:45:48	ga_s2bm_ard_3-2-1_55HDE_2021-08-30_final
2021-08-30 09:45:56	ga_s2bm_ard_3-2-1_55HFD_2021-08-30_final
2021-08-30 09:46:00	ga_s2bm_ard_3-2-1_55HED_2021-08-30_final
2021-08-30 09:46:03	ga_s2bm_ard_3-2-1_55HDD_2021-08-30_final
2021-08-30 09:46:05	ga_s2bm_ard_3-2-1_55HGC_2021-08-30_final
2021-08-30 09:46:10	ga_s2bm_ard_3-2-1_55HFC_2021-08-30_final
2021-08-30 09:46:24	ga_s2bm_ard_3-2-1_55HFB_2021-08-30_final
2021-08-30 09:46:25	ga_s2bm_ard_3-2-1_55HCC_2021-08-30_final
2021-08-30 09:46:36	ga_s2bm_ard_3-2-1_55HCB_2021-08-30_final
2021-08-30 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2021-08-30_final
2021-08-30 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2021-08-30_final
2021-08-30 09:47:07	ga_s2bm_ard_3-2-1_55HFU_2021-08-30_final.stac-item
2021-08-30 09:47:12	ga_s2bm_ard_3-2-1_55HEU_2021-08-30_final
2021-08-30 09:47:16	ga_s2bm_ard_3-2-1_55HDU_2021-08-30_final
2021-08-30 09:47:17	ga_s2bm_ard_3-2-1_55HFT_2021-08-30_final.stac-item
2021-08-30 09:47:19	ga_s2bm_ard_3-2-1_55HCU_2021-08-30_final
2021-08-30 09:47:26	ga_s2bm_ard_3-2-1_55HET_2021-08-30_final
2021-08-30 09:47:30	ga_s2bm_ard_3-2-1_55HDT_2021-08-30_final
2021-08-30 09:47:34	ga_s2bm_ard_3-2-1_55HCT_2021-08-30_final
2021-08-30 09:47:38	ga_s2bm_ard_3-2-1_55HBT_2021-08-30_final
2021-08-30 09:47:41	ga_s2bm_ard_3-2-1_55HES_2021-08-30_final
2021-08-30 09:47:42	ga_s2bm_ard_3-2-1_54HYC_2021-08-30_final
2021-08-30 09:47:45	ga_s2bm_ard_3-2-1_55HDS_2021-08-30_final
2021-08-30 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2021-08-30_final
2021-08-30 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2021-08-30_final
2021-08-30 09:48:55	ga_s2bm_ard_3-2-1_55GDM_2021-08-30_final.stac-item
2021-08-30 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2021-08-30_final.stac-item
2021-08-30 11:20:55	ga_s2bm_ard_3-2-1_52LEL_2021-08-30_final.stac-item
2021-08-30 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2021-08-30_final.stac-item
2021-08-30 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2021-08-30_final
2021-08-30 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2021-08-30_final
2021-08-30 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2021-08-30_final
2021-08-30 11:21:44	ga_s2bm_ard_3-2-1_52LDH_2021-08-30_final
2021-08-30 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2021-08-30_final
2021-08-30 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2021-08-30_final
2021-08-30 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2021-08-30_final
2021-08-30 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2021-08-30_final
2021-08-30 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2021-08-30_final
2021-08-30 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2021-08-30_final
2021-08-30 11:22:05	ga_s2bm_ard_3-2-1_52KBG_2021-08-30_final
2021-08-30 11:22:06	ga_s2bm_ard_3-2-1_51KZB_2021-08-30_final
2021-08-30 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2021-08-30_final
2021-08-30 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2021-08-30_final
2021-08-30 11:22:16	ga_s2bm_ard_3-2-1_52KCF_2021-08-30_final
2021-08-30 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2021-08-30_final
2021-08-30 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2021-08-30_final
2021-08-30 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2021-08-30_final
2021-08-30 11:22:31	ga_s2bm_ard_3-2-1_52KCE_2021-08-30_final
2021-08-30 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2021-08-30_final
2021-08-30 11:22:35	ga_s2bm_ard_3-2-1_51KZV_2021-08-30_final
2021-08-30 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2021-08-30_final
2021-08-30 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2021-08-30_final
2021-08-30 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2021-08-30_final
2021-08-30 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2021-08-30_final
2021-08-30 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2021-08-30_final
2021-08-30 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-08-30_final
2021-08-30 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-08-30_final
2021-08-30 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2021-08-30_final
2021-08-30 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2021-08-30_final
2021-08-30 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2021-08-30_final
2021-08-30 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2021-08-30_final
2021-08-30 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2021-08-30_final
2021-08-30 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2021-08-30_final
2021-08-30 11:24:16	ga_s2bm_ard_3-2-1_52JBT_2021-08-30_final
2021-08-30 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2021-08-30_final
2021-08-30 11:24:24	ga_s2bm_ard_3-2-1_51JXN_2021-08-30_final
2021-08-30 11:24:27	ga_s2bm_ard_3-2-1_51JWN_2021-08-30_final
2021-08-30 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2021-08-30_final
2021-08-30 11:24:41	ga_s2bm_ard_3-2-1_52JBR_2021-08-30_final
2021-08-30 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2021-08-30_final
2021-08-30 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2021-08-30_final
2021-08-30 11:25:03	ga_s2bm_ard_3-2-1_51JYK_2021-08-30_final
2021-08-30 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2021-08-30_final
2021-08-30 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2021-08-30_final
2021-08-30 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-08-30_final
2021-08-30 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2021-08-30_final
2021-08-30 11:25:28	ga_s2bm_ard_3-2-1_51JVJ_2021-08-30_final
2021-08-30 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2021-08-30_final
2021-08-30 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2021-08-30_final
2021-08-30 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2021-08-30_final
2021-08-30 11:25:43	ga_s2bm_ard_3-2-1_51JVH_2021-08-30_final
2021-08-30 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2021-08-30_final
2021-08-30 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2021-08-30_final
2021-08-30 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2021-08-30_final
2021-08-30 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2021-08-30_final
2021-08-30 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2021-08-30_final
2021-08-30 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2021-08-30_final
2021-08-30 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2021-08-30_final
2021-08-30 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2021-08-30_final
2021-08-30 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2021-08-30_final
2021-08-30 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2021-08-30_final
2021-08-30 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-08-30_final
2021-08-30 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2021-08-30_final.stac-item
2021-08-30 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-30_final
2021-08-30 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2021-08-30_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