Search ga_s2bm_ard_3 on 9th September 2023

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
2023-09-09 09:41:19	ga_s2bm_ard_3-2-1_56LNH_2023-09-09_nrt.stac-item
2023-09-09 09:41:36	ga_s2bm_ard_3-2-1_55KHB_2023-09-09_final.stac-item
2023-09-09 09:41:50	ga_s2bm_ard_3-2-1_56KNE_2023-09-09_nrt.stac-item
2023-09-09 09:41:56	ga_s2bm_ard_3-2-1_56KME_2023-09-09_final.stac-item
2023-09-09 09:42:00	ga_s2bm_ard_3-2-1_56KLE_2023-09-09_final.stac-item
2023-09-09 09:42:18	ga_s2bm_ard_3-2-1_56KKD_2023-09-09_nrt.stac-item
2023-09-09 09:42:19	ga_s2bm_ard_3-2-1_55KHU_2023-09-09_nrt.stac-item
2023-09-09 09:42:32	ga_s2bm_ard_3-2-1_56KKC_2023-09-09_nrt.stac-item
2023-09-09 09:42:33	ga_s2bm_ard_3-2-1_55KHT_2023-09-09_nrt.stac-item
2023-09-09 09:42:37	ga_s2bm_ard_3-2-1_55KGT_2023-09-09_final.stac-item
2023-09-09 09:42:47	ga_s2bm_ard_3-2-1_56KKB_2023-09-09_final.stac-item
2023-09-09 09:42:51	ga_s2bm_ard_3-2-1_55KGS_2023-09-09_final.stac-item
2023-09-09 09:43:05	ga_s2bm_ard_3-2-1_56KMV_2023-09-09_nrt.stac-item
2023-09-09 09:43:08	ga_s2bm_ard_3-2-1_56KLV_2023-09-09_final.stac-item
2023-09-09 09:43:09	ga_s2bm_ard_3-2-1_56KMV_2023-09-09_nrt.stac-item
2023-09-09 09:43:15	ga_s2bm_ard_3-2-1_56KLV_2023-09-09_final.stac-item
2023-09-09 09:43:31	ga_s2bm_ard_3-2-1_55KHP_2023-09-09_final.stac-item
2023-09-09 09:43:52	ga_s2bm_ard_3-2-1_55JFN_2023-09-09_final.stac-item
2023-09-09 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-09-09_final.stac-item
2023-09-09 09:44:00	ga_s2bm_ard_3-2-1_55JHM_2023-09-09_final.stac-item
2023-09-09 09:44:07	ga_s2bm_ard_3-2-1_55JFM_2023-09-09_final.stac-item
2023-09-09 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2023-09-09_final.stac-item
2023-09-09 09:45:34	ga_s2bm_ard_3-2-1_55JFF_2023-09-09_final.stac-item
2023-09-09 09:46:03	ga_s2bm_ard_3-2-1_55HFD_2023-09-09_final.stac-item
2023-09-09 09:46:06	ga_s2bm_ard_3-2-1_55HED_2023-09-09_final.stac-item
2023-09-09 09:46:10	ga_s2bm_ard_3-2-1_55HDD_2023-09-09_final.stac-item
2023-09-09 09:46:46	ga_s2bm_ard_3-2-1_55HFA_2023-09-09_final.stac-item
2023-09-09 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2023-09-09_final.stac-item
2023-09-09 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2023-09-09_final.stac-item
2023-09-09 09:46:56	ga_s2bm_ard_3-2-1_55HCA_2023-09-09_final.stac-item
2023-09-09 09:47:00	ga_s2bm_ard_3-2-1_55HFV_2023-09-09_final.stac-item
2023-09-09 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2023-09-09_final.stac-item
2023-09-09 09:47:08	ga_s2bm_ard_3-2-1_55HDV_2023-09-09_final.stac-item
2023-09-09 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2023-09-09_final.stac-item
2023-09-09 09:47:48	ga_s2bm_ard_3-2-1_55HES_2023-09-09_final.stac-item
2023-09-09 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2023-09-09_final.stac-item
2023-09-09 09:47:58	ga_s2bm_ard_3-2-1_55HBS_2023-09-09_final.stac-item
2023-09-09 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2023-09-09_final.stac-item
2023-09-09 09:48:02	ga_s2bm_ard_3-2-1_55GER_2023-09-09_final.stac-item
2023-09-09 09:48:06	ga_s2bm_ard_3-2-1_55GDR_2023-09-09_final.stac-item
2023-09-09 09:48:09	ga_s2bm_ard_3-2-1_55GCR_2023-09-09_final.stac-item
2023-09-09 09:48:13	ga_s2bm_ard_3-2-1_55GBR_2023-09-09_final.stac-item
2023-09-09 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2023-09-09_final.stac-item
2023-09-09 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2023-09-09_final.stac-item
2023-09-09 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2023-09-09_final.stac-item
2023-09-09 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2023-09-09_final.stac-item
2023-09-09 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2023-09-09_final.stac-item
2023-09-09 09:48:42	ga_s2bm_ard_3-2-1_54GYU_2023-09-09_nrt.stac-item
2023-09-09 09:48:42	ga_s2bm_ard_3-2-1_55GBP_2023-09-09_nrt.stac-item
2023-09-09 09:48:47	ga_s2bm_ard_3-2-1_54GXU_2023-09-09_nrt.stac-item
2023-09-09 09:48:49	ga_s2bm_ard_3-2-1_55GDN_2023-09-09_final.stac-item
2023-09-09 09:48:53	ga_s2bm_ard_3-2-1_55GCN_2023-09-09_final.stac-item
2023-09-09 09:48:56	ga_s2bm_ard_3-2-1_54GYT_2023-09-09_nrt.stac-item
2023-09-09 09:48:59	ga_s2bm_ard_3-2-1_54GXT_2023-09-09_nrt.stac-item
2023-09-09 09:49:01	ga_s2bm_ard_3-2-1_55GDM_2023-09-09_final.stac-item
2023-09-09 09:49:03	ga_s2bm_ard_3-2-1_55GCM_2023-09-09_final.stac-item
2023-09-09 09:49:04	ga_s2bm_ard_3-2-1_54GYS_2023-09-09_nrt.stac-item
2023-09-09 09:49:06	ga_s2bm_ard_3-2-1_54GXS_2023-09-09_nrt.stac-item
2023-09-09 11:20:49	ga_s2bm_ard_3-2-1_52LEM_2023-09-09_nrt.stac-item
2023-09-09 11:20:53	ga_s2bm_ard_3-2-1_52LDM_2023-09-09_nrt.stac-item
2023-09-09 11:21:02	ga_s2bm_ard_3-2-1_52LEL_2023-09-09_final.stac-item
2023-09-09 11:21:07	ga_s2bm_ard_3-2-1_52LDL_2023-09-09_nrt.stac-item
2023-09-09 11:21:11	ga_s2bm_ard_3-2-1_52LCL_2023-09-09_nrt.stac-item
2023-09-09 11:21:14	ga_s2bm_ard_3-2-1_52LBL_2023-09-09_nrt.stac-item
2023-09-09 11:21:15	ga_s2bm_ard_3-2-1_51LZF_2023-09-09_nrt.stac-item
2023-09-09 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-09-09_final.stac-item
2023-09-09 11:21:40	ga_s2bm_ard_3-2-1_52LCJ_2023-09-09_final.stac-item
2023-09-09 11:21:43	ga_s2bm_ard_3-2-1_52LBJ_2023-09-09_final.stac-item
2023-09-09 11:21:44	ga_s2bm_ard_3-2-1_51LZD_2023-09-09_final.stac-item
2023-09-09 11:21:51	ga_s2bm_ard_3-2-1_52LDH_2023-09-09_final.stac-item
2023-09-09 11:21:54	ga_s2bm_ard_3-2-1_52LCH_2023-09-09_final.stac-item
2023-09-09 11:21:58	ga_s2bm_ard_3-2-1_51LZC_2023-09-09_final.stac-item
2023-09-09 11:22:13	ga_s2bm_ard_3-2-1_51KZB_2023-09-09_final.stac-item
2023-09-09 11:22:23	ga_s2bm_ard_3-2-1_52KCF_2023-09-09_final.stac-item
2023-09-09 11:22:38	ga_s2bm_ard_3-2-1_52KCE_2023-09-09_final.stac-item
2023-09-09 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2023-09-09_final.stac-item
2023-09-09 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-09-09_final.stac-item
2023-09-09 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-09-09_final.stac-item
2023-09-09 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2023-09-09_final.stac-item
2023-09-09 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-09-09_final.stac-item
2023-09-09 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-09-09_final.stac-item
2023-09-09 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-09-09_final.stac-item
2023-09-09 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-09-09_final.stac-item
2023-09-09 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-09_final.stac-item
2023-09-09 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-09-09_final.stac-item
2023-09-09 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-09-09_final.stac-item
2023-09-09 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2023-09-09_final.stac-item
2023-09-09 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2023-09-09_final.stac-item
2023-09-09 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2023-09-09_final.stac-item
2023-09-09 11:24:41	ga_s2bm_ard_3-2-1_51JWN_2023-09-09_final.stac-item
2023-09-09 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2023-09-09_final.stac-item
2023-09-09 11:25:32	ga_s2bm_ard_3-2-1_51JWJ_2023-09-09_final.stac-item
2023-09-09 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2023-09-09_final.stac-item
2023-09-09 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2023-09-09_final.stac-item
2023-09-09 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2023-09-09_final.stac-item
2023-09-09 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2023-09-09_final.stac-item
2023-09-09 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-09-09_final.stac-item
2023-09-09 11:26:48	ga_s2bm_ard_3-2-1_51HVD_2023-09-09_final.stac-item
2023-09-09 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-09_final.stac-item
2023-09-09 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-09-09_final.stac-item

Return to ga_s2bm_ard_3 on 9th September 2023 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

2023

September

9th