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
2022-08-01 11:44:56	ga_s2bm_ard_3-2-1_51JUL_2022-08-01_final
2022-08-01 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2022-08-01_final
2022-08-01 11:45:16	ga_s2bm_ard_3-2-1_50JNR_2022-08-01_final.stac-item
2022-08-01 11:45:19	ga_s2bm_ard_3-2-1_51JTK_2022-08-01_final
2022-08-01 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2022-08-01_final
2022-08-01 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2022-08-01_final
2022-08-01 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2022-08-01_final
2022-08-01 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2022-08-01_final
2022-08-01 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2022-08-01_final.stac-item
2022-08-01 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-08-01_final
2022-08-01 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2022-08-01_final
2022-08-01 11:46:12	ga_s2bm_ard_3-2-1_51JTF_2022-08-01_final
2022-08-01 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2022-08-01_final
2022-08-01 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2022-08-01_final
2022-08-01 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2022-08-01_final
2022-08-01 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2022-08-01_final
2022-08-01 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-08-01_final
2022-08-01 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2022-08-01_final
2022-08-01 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-08-01_final
2022-08-01 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-08-01_final
2022-08-01 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-08-01_final
2022-08-01 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-08-01_final
2022-08-01 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2022-08-01_final.stac-item
2022-08-01 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2022-08-01_final.stac-item
2022-08-02 09:34:09	ga_s2bm_ard_3-2-1_56JNR_2022-08-02_final.stac-item
2022-08-02 09:34:13	ga_s2bm_ard_3-2-1_56JMR_2022-08-02_final
2022-08-02 09:34:16	ga_s2bm_ard_3-2-1_56JLR_2022-08-02_final
2022-08-02 09:34:27	ga_s2bm_ard_3-2-1_56JMQ_2022-08-02_final
2022-08-02 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2022-08-02_final.stac-item
2022-08-02 09:34:42	ga_s2bm_ard_3-2-1_56JMP_2022-08-02_final
2022-08-02 09:34:45	ga_s2bm_ard_3-2-1_56JLP_2022-08-02_final
2022-08-02 09:34:48	ga_s2bm_ard_3-2-1_56JKP_2022-08-02_final
2022-08-02 09:34:55	ga_s2bm_ard_3-2-1_55JGJ_2022-08-02_final
2022-08-02 09:35:11	ga_s2bm_ard_3-2-1_56JMM_2022-08-02_final
2022-08-02 09:35:14	ga_s2bm_ard_3-2-1_56JLM_2022-08-02_final
2022-08-02 09:35:26	ga_s2bm_ard_3-2-1_56JML_2022-08-02_final
2022-08-02 09:35:29	ga_s2bm_ard_3-2-1_56JLL_2022-08-02_final
2022-08-02 09:35:32	ga_s2bm_ard_3-2-1_56JKL_2022-08-02_final
2022-08-02 09:35:35	ga_s2bm_ard_3-2-1_55JGF_2022-08-02_final
2022-08-02 09:35:40	ga_s2bm_ard_3-2-1_56HMK_2022-08-02_final
2022-08-02 09:35:47	ga_s2bm_ard_3-2-1_56HKK_2022-08-02_final
2022-08-02 09:35:49	ga_s2bm_ard_3-2-1_55HGE_2022-08-02_final
2022-08-02 09:35:53	ga_s2bm_ard_3-2-1_56HMJ_2022-08-02_final
2022-08-02 09:35:55	ga_s2bm_ard_3-2-1_55HFE_2022-08-02_final
2022-08-02 09:35:58	ga_s2bm_ard_3-2-1_56HLJ_2022-08-02_final
2022-08-02 09:36:07	ga_s2bm_ard_3-2-1_55HFD_2022-08-02_final
2022-08-02 09:36:18	ga_s2bm_ard_3-2-1_55HGC_2022-08-02_final
2022-08-02 09:36:27	ga_s2bm_ard_3-2-1_56HLG_2022-08-02_final.stac-item
2022-08-02 09:36:36	ga_s2bm_ard_3-2-1_55HFB_2022-08-02_final
2022-08-02 09:36:47	ga_s2bm_ard_3-2-1_55HGA_2022-08-02_final
2022-08-02 09:36:50	ga_s2bm_ard_3-2-1_55HFA_2022-08-02_final
2022-08-02 09:37:01	ga_s2bm_ard_3-2-1_55HGV_2022-08-02_final
2022-08-02 09:37:15	ga_s2bm_ard_3-2-1_55HGU_2022-08-02_final.stac-item
2022-08-02 09:37:19	ga_s2bm_ard_3-2-1_55HFU_2022-08-02_final.stac-item
2022-08-02 09:37:23	ga_s2bm_ard_3-2-1_55HEU_2022-08-02_final
2022-08-02 09:37:34	ga_s2bm_ard_3-2-1_55HFT_2022-08-02_final.stac-item
2022-08-02 09:37:38	ga_s2bm_ard_3-2-1_55HET_2022-08-02_final
2022-08-02 09:37:44	ga_s2bm_ard_3-2-1_55HDT_2022-08-02_final
2022-08-02 09:37:48	ga_s2bm_ard_3-2-1_55HFS_2022-08-02_final.stac-item
2022-08-02 09:37:52	ga_s2bm_ard_3-2-1_55HES_2022-08-02_final
2022-08-02 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2022-08-02_final
2022-08-02 09:38:31	ga_s2bm_ard_3-2-1_55GFP_2022-08-02_final
2022-08-02 09:38:35	ga_s2bm_ard_3-2-1_55GEP_2022-08-02_final
2022-08-02 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2022-08-02_final
2022-08-02 09:38:45	ga_s2bm_ard_3-2-1_55GCP_2022-08-02_final
2022-08-02 09:38:46	ga_s2bm_ard_3-2-1_55GFN_2022-08-02_final
2022-08-02 09:38:50	ga_s2bm_ard_3-2-1_55GEN_2022-08-02_final
2022-08-02 09:38:54	ga_s2bm_ard_3-2-1_55GDN_2022-08-02_final
2022-08-02 09:38:57	ga_s2bm_ard_3-2-1_55GCN_2022-08-02_final
2022-08-02 09:39:04	ga_s2bm_ard_3-2-1_55GEM_2022-08-02_final.stac-item
2022-08-02 09:39:07	ga_s2bm_ard_3-2-1_55GDM_2022-08-02_final.stac-item
2022-08-02 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2022-08-02_final.stac-item
2022-08-02 11:11:38	ga_s2bm_ard_3-2-1_52LEJ_2022-08-02_final
2022-08-02 11:11:42	ga_s2bm_ard_3-2-1_52LDJ_2022-08-02_final
2022-08-02 11:11:53	ga_s2bm_ard_3-2-1_52LEH_2022-08-02_final
2022-08-02 11:11:56	ga_s2bm_ard_3-2-1_52LDH_2022-08-02_final
2022-08-02 11:12:04	ga_s2bm_ard_3-2-1_52LDH_2022-08-02_final
2022-08-02 11:12:36	ga_s2bm_ard_3-2-1_52KEE_2022-08-02_final
2022-08-02 11:12:40	ga_s2bm_ard_3-2-1_52KDE_2022-08-02_final
2022-08-02 11:14:51	ga_s2bm_ard_3-2-1_52JDR_2022-08-02_final
2022-08-02 11:14:54	ga_s2bm_ard_3-2-1_52JCR_2022-08-02_final
2022-08-02 11:15:12	ga_s2bm_ard_3-2-1_52JBQ_2022-08-02_final
2022-08-02 11:15:15	ga_s2bm_ard_3-2-1_51JYK_2022-08-02_final
2022-08-02 11:15:17	ga_s2bm_ard_3-2-1_52JDP_2022-08-02_final
2022-08-02 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2022-08-02_final
2022-08-02 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2022-08-02_final
2022-08-02 11:15:29	ga_s2bm_ard_3-2-1_51JYJ_2022-08-02_final
2022-08-02 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2022-08-02_final
2022-08-02 11:15:37	ga_s2bm_ard_3-2-1_52JCN_2022-08-02_final
2022-08-02 11:15:44	ga_s2bm_ard_3-2-1_51JYH_2022-08-02_final
2022-08-02 11:15:52	ga_s2bm_ard_3-2-1_52JCM_2022-08-02_final
2022-08-02 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2022-08-02_final
2022-08-02 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2022-08-02_final
2022-08-02 11:16:10	ga_s2bm_ard_3-2-1_52JBL_2022-08-02_final
2022-08-02 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2022-08-02_final
2022-08-02 11:16:25	ga_s2bm_ard_3-2-1_52HBK_2022-08-02_final
2022-08-02 11:16:27	ga_s2bm_ard_3-2-1_51HYE_2022-08-02_final
2022-08-02 11:16:35	ga_s2bm_ard_3-2-1_51HWE_2022-08-02_final
2022-08-02 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2022-08-02_final
2022-08-02 11:16:49	ga_s2bm_ard_3-2-1_51HWD_2022-08-02_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