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
2022-11-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-11-12_final.stac-item
2022-11-12 11:53:31	ga_s2bm_ard_3-2-1_50KQB_2022-11-12_final.stac-item
2022-11-12 11:54:04	ga_s2bm_ard_3-2-1_50KPV_2022-11-12_final.stac-item
2022-11-12 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2022-11-12_final.stac-item
2022-11-12 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2022-11-12_final.stac-item
2022-11-12 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2022-11-12_final.stac-item
2022-11-12 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2022-11-12_final.stac-item
2022-11-12 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2022-11-12_final.stac-item
2022-11-12 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-11-12_final.stac-item
2022-11-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-12 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-11-12 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-12 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-12 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-11-12 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-11-12_final.stac-item
2022-11-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-11-12_final.stac-item
2022-11-12 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2022-11-12_final.stac-item
2022-11-12 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-11-12_interim.stac-item
2022-11-12 13:31:33	ga_s2bm_ard_3-2-1_46LHN_2022-11-12_interim.stac-item
2022-11-13 09:41:29	ga_s2bm_ard_3-2-1_56KKG_2022-11-13_final.stac-item
2022-11-13 09:41:31	ga_s2bm_ard_3-2-1_55KHB_2022-11-13_final.stac-item
2022-11-13 09:41:52	ga_s2bm_ard_3-2-1_56KME_2022-11-13_final.stac-item
2022-11-13 09:42:42	ga_s2bm_ard_3-2-1_56KKB_2022-11-13_final.stac-item
2022-11-13 09:42:46	ga_s2bm_ard_3-2-1_55KGS_2022-11-13_final.stac-item
2022-11-13 09:43:08	ga_s2bm_ard_3-2-1_56KLV_2022-11-13_final.stac-item
2022-11-13 09:43:37	ga_s2bm_ard_3-2-1_56JLT_2022-11-13_final.stac-item
2022-11-13 09:43:47	ga_s2bm_ard_3-2-1_55JFN_2022-11-13_final.stac-item
2022-11-13 09:43:52	ga_s2bm_ard_3-2-1_56JLS_2022-11-13_final.stac-item
2022-11-13 09:44:02	ga_s2bm_ard_3-2-1_55JFM_2022-11-13_final.stac-item
2022-11-13 09:44:49	ga_s2bm_ard_3-2-1_55JEJ_2022-11-13_final.stac-item
2022-11-13 09:45:11	ga_s2bm_ard_3-2-1_55JGG_2022-11-13_final.stac-item
2022-11-13 09:45:33	ga_s2bm_ard_3-2-1_55JEF_2022-11-13_final.stac-item
2022-11-13 09:45:37	ga_s2bm_ard_3-2-1_55JDF_2022-11-13_final.stac-item
2022-11-13 09:45:54	ga_s2bm_ard_3-2-1_55HGD_2022-11-13_final.stac-item
2022-11-13 09:45:58	ga_s2bm_ard_3-2-1_55HFD_2022-11-13_final.stac-item
2022-11-13 09:46:02	ga_s2bm_ard_3-2-1_55HED_2022-11-13_final.stac-item
2022-11-13 09:46:05	ga_s2bm_ard_3-2-1_55HDD_2022-11-13_final.stac-item
2022-11-13 09:46:07	ga_s2bm_ard_3-2-1_55HGC_2022-11-13_final.stac-item
2022-11-13 09:46:16	ga_s2bm_ard_3-2-1_55HEC_2022-11-13_final.stac-item
2022-11-13 09:46:20	ga_s2bm_ard_3-2-1_55HDC_2022-11-13_final.stac-item
2022-11-13 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2022-11-13_final.stac-item
2022-11-13 09:46:41	ga_s2bm_ard_3-2-1_55HFA_2022-11-13_final.stac-item
2022-11-13 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2022-11-13_final.stac-item
2022-11-13 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2022-11-13_final.stac-item
2022-11-13 09:46:52	ga_s2bm_ard_3-2-1_55HCA_2022-11-13_final.stac-item
2022-11-13 09:46:56	ga_s2bm_ard_3-2-1_55HFV_2022-11-13_final.stac-item
2022-11-13 09:47:00	ga_s2bm_ard_3-2-1_55HEV_2022-11-13_final.stac-item
2022-11-13 09:47:03	ga_s2bm_ard_3-2-1_55HDV_2022-11-13_final.stac-item
2022-11-13 09:47:07	ga_s2bm_ard_3-2-1_55HCV_2022-11-13_final.stac-item
2022-11-13 09:47:43	ga_s2bm_ard_3-2-1_55HES_2022-11-13_final.stac-item
2022-11-13 09:47:47	ga_s2bm_ard_3-2-1_55HDS_2022-11-13_final.stac-item
2022-11-13 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2022-11-13_final.stac-item
2022-11-13 09:47:53	ga_s2bm_ard_3-2-1_55HBS_2022-11-13_final.stac-item
2022-11-13 09:47:54	ga_s2bm_ard_3-2-1_54HYB_2022-11-13_final.stac-item
2022-11-13 09:47:58	ga_s2bm_ard_3-2-1_55GER_2022-11-13_final.stac-item
2022-11-13 09:48:01	ga_s2bm_ard_3-2-1_55GDR_2022-11-13_final.stac-item
2022-11-13 09:48:05	ga_s2bm_ard_3-2-1_55GCR_2022-11-13_final.stac-item
2022-11-13 09:48:08	ga_s2bm_ard_3-2-1_55GBR_2022-11-13_final.stac-item
2022-11-13 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2022-11-13_final.stac-item
2022-11-13 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2022-11-13_final.stac-item
2022-11-13 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2022-11-13_final.stac-item
2022-11-13 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2022-11-13_final.stac-item
2022-11-13 09:48:21	ga_s2bm_ard_3-2-1_55GBQ_2022-11-13_final.stac-item
2022-11-13 09:48:21	ga_s2bm_ard_3-2-1_55GEP_2022-11-13_final.stac-item
2022-11-13 09:48:21	ga_s2bm_ard_3-2-1_54GYV_2022-11-13_final.stac-item
2022-11-13 09:48:24	ga_s2bm_ard_3-2-1_55GEP_2022-11-13_final.stac-item
2022-11-13 09:48:26	ga_s2bm_ard_3-2-1_55GCQ_2022-11-13_final.stac-item
2022-11-13 09:48:28	ga_s2bm_ard_3-2-1_55GBQ_2022-11-13_final.stac-item
2022-11-13 09:48:28	ga_s2bm_ard_3-2-1_54GYV_2022-11-13_final.stac-item
2022-11-13 09:48:45	ga_s2bm_ard_3-2-1_55GDN_2022-11-13_final.stac-item
2022-11-13 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2022-11-13_final.stac-item
2022-11-13 11:20:57	ga_s2bm_ard_3-2-1_52LEL_2022-11-13_final.stac-item
2022-11-13 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2022-11-13_final.stac-item
2022-11-13 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2022-11-13_final.stac-item
2022-11-13 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2022-11-13_final.stac-item
2022-11-13 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2022-11-13_final.stac-item
2022-11-13 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2022-11-13_final.stac-item
2022-11-13 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-11-13_final.stac-item
2022-11-13 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2022-11-13_final.stac-item
2022-11-13 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-11-13_final.stac-item
2022-11-13 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2022-11-13_final.stac-item
2022-11-13 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2022-11-13_final.stac-item
2022-11-13 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2022-11-13_final.stac-item
2022-11-13 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-11-13_final.stac-item
2022-11-13 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2022-11-13_final.stac-item
2022-11-13 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2022-11-13_final.stac-item
2022-11-13 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2022-11-13_final.stac-item
2022-11-13 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2022-11-13_final.stac-item
2022-11-13 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2022-11-13_final.stac-item
2022-11-13 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2022-11-13_final.stac-item
2022-11-13 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2022-11-13_final.stac-item
2022-11-13 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2022-11-13_final.stac-item
2022-11-13 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-11-13_final.stac-item
2022-11-13 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2022-11-13_final.stac-item
2022-11-13 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2022-11-13_final.stac-item
2022-11-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2022-11-13_final.stac-item
2022-11-13 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-11-13_final.stac-item
2022-11-13 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2022-11-13_final.stac-item
2022-11-13 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2022-11-13_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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