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
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_final
2022-08-31 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2022-08-31_final
2022-08-31 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2022-08-31_final
2022-08-31 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2022-08-31_final
2022-09-01 09:34:02	ga_s2bm_ard_3-2-1_55JHM_2022-09-01_final.stac-item
2022-09-01 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2022-09-01_final.stac-item
2022-09-01 09:34:09	ga_s2bm_ard_3-2-1_56JMR_2022-09-01_final.stac-item
2022-09-01 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2022-09-01_final.stac-item
2022-09-01 09:34:20	ga_s2bm_ard_3-2-1_56JNQ_2022-09-01_final.stac-item
2022-09-01 09:34:24	ga_s2bm_ard_3-2-1_56JMQ_2022-09-01_final.stac-item
2022-09-01 09:34:30	ga_s2bm_ard_3-2-1_56JKQ_2022-09-01_final.stac-item
2022-09-01 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2022-09-01_final.stac-item
2022-09-01 09:34:38	ga_s2bm_ard_3-2-1_56JMP_2022-09-01_final.stac-item
2022-09-01 09:34:42	ga_s2bm_ard_3-2-1_56JLP_2022-09-01_final.stac-item
2022-09-01 09:34:51	ga_s2bm_ard_3-2-1_55JGJ_2022-09-01_final.stac-item
2022-09-01 09:34:56	ga_s2bm_ard_3-2-1_56JLN_2022-09-01_final.stac-item
2022-09-01 09:34:59	ga_s2bm_ard_3-2-1_56JKN_2022-09-01_final.stac-item
2022-09-01 09:35:02	ga_s2bm_ard_3-2-1_55JGH_2022-09-01_final.stac-item
2022-09-01 09:35:07	ga_s2bm_ard_3-2-1_56JMM_2022-09-01_final.stac-item
2022-09-01 09:35:14	ga_s2bm_ard_3-2-1_56JKM_2022-09-01_final.stac-item
2022-09-01 09:35:16	ga_s2bm_ard_3-2-1_55JGG_2022-09-01_final.stac-item
2022-09-01 09:35:36	ga_s2bm_ard_3-2-1_56HMK_2022-09-01_final.stac-item
2022-09-01 09:35:43	ga_s2bm_ard_3-2-1_56HKK_2022-09-01_final.stac-item
2022-09-01 09:35:45	ga_s2bm_ard_3-2-1_55HGE_2022-09-01_final.stac-item
2022-09-01 09:35:49	ga_s2bm_ard_3-2-1_56HMJ_2022-09-01_final.stac-item
2022-09-01 09:35:51	ga_s2bm_ard_3-2-1_55HFE_2022-09-01_final.stac-item
2022-09-01 09:35:54	ga_s2bm_ard_3-2-1_56HLJ_2022-09-01_final.stac-item
2022-09-01 09:36:03	ga_s2bm_ard_3-2-1_55HFD_2022-09-01_final.stac-item
2022-09-01 09:36:12	ga_s2bm_ard_3-2-1_56HKH_2022-09-01_final.stac-item
2022-09-01 09:36:14	ga_s2bm_ard_3-2-1_55HGC_2022-09-01_final.stac-item
2022-09-01 09:36:47	ga_s2bm_ard_3-2-1_55HFA_2022-09-01_final.stac-item
2022-09-01 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2022-09-01_final.stac-item
2022-09-01 09:37:12	ga_s2bm_ard_3-2-1_55HGU_2022-09-01_final.stac-item
2022-09-01 09:37:16	ga_s2bm_ard_3-2-1_55HFU_2022-09-01_final.stac-item
2022-09-01 09:37:20	ga_s2bm_ard_3-2-1_55HEU_2022-09-01_final.stac-item
2022-09-01 09:37:30	ga_s2bm_ard_3-2-1_55HFT_2022-09-01_final.stac-item
2022-09-01 09:37:34	ga_s2bm_ard_3-2-1_55HET_2022-09-01_final.stac-item
2022-09-01 09:37:41	ga_s2bm_ard_3-2-1_55HDT_2022-09-01_final.stac-item
2022-09-01 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2022-09-01_final.stac-item
2022-09-01 09:38:03	ga_s2bm_ard_3-2-1_55GER_2022-09-01_final.stac-item
2022-09-01 09:38:06	ga_s2bm_ard_3-2-1_55GDR_2022-09-01_final.stac-item
2022-09-01 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2022-09-01_final.stac-item
2022-09-01 09:38:17	ga_s2bm_ard_3-2-1_55GEQ_2022-09-01_final.stac-item
2022-09-01 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2022-09-01_final.stac-item
2022-09-01 09:38:42	ga_s2bm_ard_3-2-1_55GFN_2022-09-01_final.stac-item
2022-09-01 09:38:46	ga_s2bm_ard_3-2-1_55GEN_2022-09-01_final.stac-item
2022-09-01 09:38:50	ga_s2bm_ard_3-2-1_55GDN_2022-09-01_final.stac-item
2022-09-01 09:38:54	ga_s2bm_ard_3-2-1_55GCN_2022-09-01_final.stac-item
2022-09-01 09:39:01	ga_s2bm_ard_3-2-1_55GEM_2022-09-01_final.stac-item
2022-09-01 09:39:03	ga_s2bm_ard_3-2-1_55GDM_2022-09-01_final.stac-item
2022-09-01 09:39:04	ga_s2bm_ard_3-2-1_55GCM_2022-09-01_final.stac-item
2022-09-01 11:11:13	ga_s2bm_ard_3-2-1_52LGK_2022-09-01_final.stac-item
2022-09-01 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2022-09-01_final.stac-item
2022-09-01 11:11:38	ga_s2bm_ard_3-2-1_52LDJ_2022-09-01_final.stac-item
2022-09-01 11:11:41	ga_s2bm_ard_3-2-1_52LGH_2022-09-01_final.stac-item
2022-09-01 11:11:46	ga_s2bm_ard_3-2-1_52LFH_2022-09-01_final.stac-item
2022-09-01 11:11:49	ga_s2bm_ard_3-2-1_52LEH_2022-09-01_final.stac-item
2022-09-01 11:11:53	ga_s2bm_ard_3-2-1_52LDH_2022-09-01_final.stac-item
2022-09-01 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2022-09-01_final.stac-item
2022-09-01 11:11:58	ga_s2bm_ard_3-2-1_52KEG_2022-09-01_final.stac-item
2022-09-01 11:12:00	ga_s2bm_ard_3-2-1_52LDH_2022-09-01_final.stac-item
2022-09-01 11:12:03	ga_s2bm_ard_3-2-1_52KFG_2022-09-01_final.stac-item
2022-09-01 11:12:05	ga_s2bm_ard_3-2-1_52KEG_2022-09-01_final.stac-item
2022-09-01 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2022-09-01_final.stac-item
2022-09-01 11:12:12	ga_s2bm_ard_3-2-1_52KCG_2022-09-01_final.stac-item
2022-09-01 11:12:15	ga_s2bm_ard_3-2-1_52KFF_2022-09-01_final.stac-item
2022-09-01 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2022-09-01_final.stac-item
2022-09-01 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2022-09-01_final.stac-item
2022-09-01 11:12:25	ga_s2bm_ard_3-2-1_52KCF_2022-09-01_final.stac-item
2022-09-01 11:12:29	ga_s2bm_ard_3-2-1_52KFE_2022-09-01_final.stac-item
2022-09-01 11:12:33	ga_s2bm_ard_3-2-1_52KEE_2022-09-01_final.stac-item
2022-09-01 11:12:36	ga_s2bm_ard_3-2-1_52KDE_2022-09-01_final.stac-item
2022-09-01 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2022-09-01_final.stac-item
2022-09-01 11:12:43	ga_s2bm_ard_3-2-1_52KFD_2022-09-01_final.stac-item
2022-09-01 11:12:47	ga_s2bm_ard_3-2-1_52KED_2022-09-01_final.stac-item
2022-09-01 11:12:51	ga_s2bm_ard_3-2-1_52KDD_2022-09-01_final.stac-item
2022-09-01 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2022-09-01_final.stac-item
2022-09-01 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2022-09-01_final.stac-item
2022-09-01 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2022-09-01_final.stac-item
2022-09-01 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2022-09-01_final.stac-item
2022-09-01 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2022-09-01_final.stac-item
2022-09-01 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2022-09-01_final.stac-item
2022-09-01 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2022-09-01_final.stac-item
2022-09-01 11:14:47	ga_s2bm_ard_3-2-1_52JDR_2022-09-01_final.stac-item
2022-09-01 11:14:50	ga_s2bm_ard_3-2-1_52JCR_2022-09-01_final.stac-item
2022-09-01 11:15:01	ga_s2bm_ard_3-2-1_52JDQ_2022-09-01_final.stac-item
2022-09-01 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2022-09-01_final.stac-item
2022-09-01 11:15:13	ga_s2bm_ard_3-2-1_52JDP_2022-09-01_final.stac-item
2022-09-01 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2022-09-01_final.stac-item
2022-09-01 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2022-09-01_final.stac-item
2022-09-01 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2022-09-01_final.stac-item
2022-09-01 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2022-09-01_final.stac-item
2022-09-01 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2022-09-01_final.stac-item
2022-09-01 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2022-09-01_final.stac-item
2022-09-01 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2022-09-01_final.stac-item
2022-09-01 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2022-09-01_final.stac-item
2022-09-01 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-01_final.stac-item
2022-09-01 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2022-09-01_final.stac-item
2022-09-01 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-09-01_final.stac-item
2022-09-01 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2022-09-01_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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