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
2023-05-01 11:57:30	ga_s2bm_ard_3-2-1_49HFB_2023-05-01_nrt.stac-item
2023-05-01 11:57:30	ga_s2bm_ard_3-2-1_50HMF_2023-05-01_nrt.stac-item
2023-05-01 11:57:32	ga_s2bm_ard_3-2-1_50HLF_2023-05-01_nrt.stac-item
2023-05-02 09:39:44	ga_s2bm_ard_3-2-1_56LMP_2023-05-02_nrt.stac-item
2023-05-02 09:39:51	ga_s2bm_ard_3-2-1_56LLP_2023-05-02_nrt.stac-item
2023-05-02 09:40:14	ga_s2bm_ard_3-2-1_56LPL_2023-05-02_nrt.stac-item
2023-05-02 09:40:16	ga_s2bm_ard_3-2-1_56LNL_2023-05-02_nrt.stac-item
2023-05-02 09:41:36	ga_s2bm_ard_3-2-1_56KNF_2023-05-02_nrt.stac-item
2023-05-02 09:41:40	ga_s2bm_ard_3-2-1_56KMF_2023-05-02_final.stac-item
2023-05-02 09:41:44	ga_s2bm_ard_3-2-1_56KLF_2023-05-02_final.stac-item
2023-05-02 09:41:47	ga_s2bm_ard_3-2-1_55KHA_2023-05-02_nrt.stac-item
2023-05-02 09:41:48	ga_s2bm_ard_3-2-1_56KNE_2023-05-02_nrt.stac-item
2023-05-02 09:41:55	ga_s2bm_ard_3-2-1_56KME_2023-05-02_final.stac-item
2023-05-02 09:42:09	ga_s2bm_ard_3-2-1_56KMD_2023-05-02_final.stac-item
2023-05-02 09:42:16	ga_s2bm_ard_3-2-1_56KKD_2023-05-02_nrt.stac-item
2023-05-02 09:42:17	ga_s2bm_ard_3-2-1_55KHU_2023-05-02_nrt.stac-item
2023-05-02 09:43:03	ga_s2bm_ard_3-2-1_56KMV_2023-05-02_nrt.stac-item
2023-05-02 09:43:14	ga_s2bm_ard_3-2-1_56KKV_2023-05-02_final.stac-item
2023-05-02 09:43:14	ga_s2bm_ard_3-2-1_55KHQ_2023-05-02_final.stac-item
2023-05-02 09:43:26	ga_s2bm_ard_3-2-1_55KFQ_2023-05-02_final.stac-item
2023-05-02 09:43:29	ga_s2bm_ard_3-2-1_56KKU_2023-05-02_final.stac-item
2023-05-02 09:43:40	ga_s2bm_ard_3-2-1_56JLT_2023-05-02_final.stac-item
2023-05-02 09:43:47	ga_s2bm_ard_3-2-1_55JGN_2023-05-02_final.stac-item
2023-05-02 09:43:58	ga_s2bm_ard_3-2-1_56JKS_2023-05-02_final.stac-item
2023-05-02 09:44:05	ga_s2bm_ard_3-2-1_55JFM_2023-05-02_final.stac-item
2023-05-02 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2023-05-02_final.stac-item
2023-05-02 09:44:20	ga_s2bm_ard_3-2-1_55JFL_2023-05-02_final.stac-item
2023-05-02 09:44:27	ga_s2bm_ard_3-2-1_55JEL_2023-05-02_final.stac-item
2023-05-02 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2023-05-02_final.stac-item
2023-05-02 09:44:56	ga_s2bm_ard_3-2-1_56JKN_2023-05-02_final.stac-item
2023-05-02 09:44:59	ga_s2bm_ard_3-2-1_55JGH_2023-05-02_final.stac-item
2023-05-02 09:45:32	ga_s2bm_ard_3-2-1_55JFF_2023-05-02_final.stac-item
2023-05-02 09:45:35	ga_s2bm_ard_3-2-1_56HKK_2023-05-02_final.stac-item
2023-05-02 09:45:42	ga_s2bm_ard_3-2-1_55HGE_2023-05-02_final.stac-item
2023-05-02 09:46:01	ga_s2bm_ard_3-2-1_55HFD_2023-05-02_final.stac-item
2023-05-02 09:46:09	ga_s2bm_ard_3-2-1_55HGC_2023-05-02_final.stac-item
2023-05-02 09:46:19	ga_s2bm_ard_3-2-1_55HEC_2023-05-02_final.stac-item
2023-05-02 09:46:23	ga_s2bm_ard_3-2-1_55HDC_2023-05-02_final.stac-item
2023-05-02 09:46:29	ga_s2bm_ard_3-2-1_55HFB_2023-05-02_final.stac-item
2023-05-02 09:46:33	ga_s2bm_ard_3-2-1_55HEB_2023-05-02_final.stac-item
2023-05-02 09:46:41	ga_s2bm_ard_3-2-1_55HCB_2023-05-02_final.stac-item
2023-05-02 09:46:44	ga_s2bm_ard_3-2-1_55HFA_2023-05-02_final.stac-item
2023-05-02 09:46:48	ga_s2bm_ard_3-2-1_55HEA_2023-05-02_final.stac-item
2023-05-02 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-05-02_final.stac-item
2023-05-02 09:47:31	ga_s2bm_ard_3-2-1_55HBU_2023-05-02_final.stac-item
2023-05-02 09:47:46	ga_s2bm_ard_3-2-1_55HES_2023-05-02_final.stac-item
2023-05-02 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2023-05-02_final.stac-item
2023-05-02 09:47:53	ga_s2bm_ard_3-2-1_55HCS_2023-05-02_final.stac-item
2023-05-02 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2023-05-02_final.stac-item
2023-05-02 09:47:57	ga_s2bm_ard_3-2-1_54HYB_2023-05-02_final.stac-item
2023-05-02 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2023-05-02_final.stac-item
2023-05-02 09:48:49	ga_s2bm_ard_3-2-1_54GYT_2023-05-02_nrt.stac-item
2023-05-02 09:48:51	ga_s2bm_ard_3-2-1_54GXT_2023-05-02_nrt.stac-item
2023-05-02 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2023-05-02_final.stac-item
2023-05-02 09:48:56	ga_s2bm_ard_3-2-1_54GYT_2023-05-02_nrt.stac-item
2023-05-02 11:20:18	ga_s2bm_ard_3-2-1_52LEP_2023-05-02_nrt.stac-item
2023-05-02 11:20:22	ga_s2bm_ard_3-2-1_52LDP_2023-05-02_nrt.stac-item
2023-05-02 11:20:43	ga_s2bm_ard_3-2-1_52LDM_2023-05-02_nrt.stac-item
2023-05-02 11:20:48	ga_s2bm_ard_3-2-1_52LEM_2023-05-02_nrt.stac-item
2023-05-02 11:20:51	ga_s2bm_ard_3-2-1_52LDM_2023-05-02_nrt.stac-item
2023-05-02 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-05-02_final.stac-item
2023-05-02 11:21:05	ga_s2bm_ard_3-2-1_52LDL_2023-05-02_nrt.stac-item
2023-05-02 11:21:09	ga_s2bm_ard_3-2-1_52LCL_2023-05-02_nrt.stac-item
2023-05-02 11:21:12	ga_s2bm_ard_3-2-1_52LBL_2023-05-02_nrt.stac-item
2023-05-02 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-05-02_nrt.stac-item
2023-05-02 11:22:21	ga_s2bm_ard_3-2-1_52KCF_2023-05-02_final.stac-item
2023-05-02 11:22:26	ga_s2bm_ard_3-2-1_51KZA_2023-05-02_final.stac-item
2023-05-02 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2023-05-02_final.stac-item
2023-05-02 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-05-02_final.stac-item
2023-05-02 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-05-02_final.stac-item
2023-05-02 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-05-02_final.stac-item
2023-05-02 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-05-02_final.stac-item
2023-05-02 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-05-02_final.stac-item
2023-05-02 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-02_final.stac-item
2023-05-02 11:24:21	ga_s2bm_ard_3-2-1_52JBT_2023-05-02_final.stac-item
2023-05-02 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-05-02_final.stac-item
2023-05-02 11:24:35	ga_s2bm_ard_3-2-1_52JBS_2023-05-02_final.stac-item
2023-05-02 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-05-02_final.stac-item
2023-05-02 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2023-05-02_final.stac-item
2023-05-02 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2023-05-02_final.stac-item
2023-05-02 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2023-05-02_final.stac-item
2023-05-02 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2023-05-02_final.stac-item
2023-05-02 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2023-05-02_final.stac-item
2023-05-02 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2023-05-02_final.stac-item
2023-05-02 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final.stac-item
2023-05-02 11:26:18	ga_s2bm_ard_3-2-1_51JXF_2023-05-02_final.stac-item
2023-05-02 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2023-05-02_final.stac-item
2023-05-02 11:26:19	ga_s2bm_ard_3-2-1_51HWE_2023-05-02_final.stac-item
2023-05-02 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-05-02_final.stac-item
2023-05-02 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2023-05-02_final.stac-item
2023-05-02 11:26:32	ga_s2bm_ard_3-2-1_51HVE_2023-05-02_final.stac-item
2023-05-02 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-05-02_final.stac-item
2023-05-02 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-05-02_final.stac-item
2023-05-02 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2023-05-02_final.stac-item
2023-05-02 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-05-02_final.stac-item
2023-05-02 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-05-02_final.stac-item
2023-05-02 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-05-02_final.stac-item
2023-05-02 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2023-05-02_final.stac-item
2023-05-02 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2023-05-02_final.stac-item
2023-05-02 11:27:14	ga_s2bm_ard_3-2-1_51HUB_2023-05-02_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

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