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
2023-12-10 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-12-10_final.stac-item
2023-12-10 12:05:43	ga_s2bm_ard_3-2-1_49JFJ_2023-12-10_nrt.stac-item
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final.stac-item
2023-12-10 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2023-12-10_final.stac-item
2023-12-11 09:49:54	ga_s2bm_ard_3-2-1_56LKN_2023-12-11_nrt.stac-item
2023-12-11 09:49:55	ga_s2bm_ard_3-2-1_55LHH_2023-12-11_nrt.stac-item
2023-12-11 09:49:56	ga_s2bm_ard_3-2-1_55LGH_2023-12-11_nrt.stac-item
2023-12-11 09:51:01	ga_s2bm_ard_3-2-1_56LLH_2023-12-11_nrt.stac-item
2023-12-11 09:51:07	ga_s2bm_ard_3-2-1_56LKH_2023-12-11_nrt.stac-item
2023-12-11 09:51:09	ga_s2bm_ard_3-2-1_55LHC_2023-12-11_final.stac-item
2023-12-11 09:51:12	ga_s2bm_ard_3-2-1_55LGC_2023-12-11_final.stac-item
2023-12-11 09:51:30	ga_s2bm_ard_3-2-1_55KFB_2023-12-11_final.stac-item
2023-12-11 09:51:36	ga_s2bm_ard_3-2-1_56KKF_2023-12-11_final.stac-item
2023-12-11 09:51:41	ga_s2bm_ard_3-2-1_55KGA_2023-12-11_nrt.stac-item
2023-12-11 09:51:50	ga_s2bm_ard_3-2-1_55KEA_2023-12-11_nrt.stac-item
2023-12-11 09:52:17	ga_s2bm_ard_3-2-1_55KEU_2023-12-11_final.stac-item
2023-12-11 09:52:43	ga_s2bm_ard_3-2-1_55KFS_2023-12-11_final.stac-item
2023-12-11 09:52:46	ga_s2bm_ard_3-2-1_55KES_2023-12-11_final.stac-item
2023-12-11 09:52:52	ga_s2bm_ard_3-2-1_55KDS_2023-12-11_final.stac-item
2023-12-11 09:53:00	ga_s2bm_ard_3-2-1_55KER_2023-12-11_final.stac-item
2023-12-11 09:53:04	ga_s2bm_ard_3-2-1_55KDR_2023-12-11_final.stac-item
2023-12-11 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2023-12-11_final.stac-item
2023-12-11 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2023-12-11_final.stac-item
2023-12-11 09:54:28	ga_s2bm_ard_3-2-1_55JEK_2023-12-11_final.stac-item
2023-12-11 09:54:31	ga_s2bm_ard_3-2-1_55JDK_2023-12-11_final.stac-item
2023-12-11 09:54:35	ga_s2bm_ard_3-2-1_55JFJ_2023-12-11_final.stac-item
2023-12-11 09:54:38	ga_s2bm_ard_3-2-1_55JEJ_2023-12-11_final.stac-item
2023-12-11 09:54:39	ga_s2bm_ard_3-2-1_55JDK_2023-12-11_final.stac-item
2023-12-11 09:54:39	ga_s2bm_ard_3-2-1_55JDJ_2023-12-11_final.stac-item
2023-12-11 09:54:40	ga_s2bm_ard_3-2-1_55JCK_2023-12-11_final.stac-item
2023-12-11 09:54:41	ga_s2bm_ard_3-2-1_55JCJ_2023-12-11_final.stac-item
2023-12-11 09:54:41	ga_s2bm_ard_3-2-1_55JFJ_2023-12-11_final.stac-item
2023-12-11 09:54:44	ga_s2bm_ard_3-2-1_55JEJ_2023-12-11_final.stac-item
2023-12-11 09:54:46	ga_s2bm_ard_3-2-1_55JDJ_2023-12-11_final.stac-item
2023-12-11 09:54:47	ga_s2bm_ard_3-2-1_55JFH_2023-12-11_final.stac-item
2023-12-11 09:54:49	ga_s2bm_ard_3-2-1_55JCJ_2023-12-11_final.stac-item
2023-12-11 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2023-12-11_final.stac-item
2023-12-11 09:55:11	ga_s2bm_ard_3-2-1_55JEG_2023-12-11_final.stac-item
2023-12-11 09:56:05	ga_s2bm_ard_3-2-1_55HBD_2023-12-11_final.stac-item
2023-12-11 09:56:07	ga_s2bm_ard_3-2-1_54HYJ_2023-12-11_final.stac-item
2023-12-11 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2023-12-11_final.stac-item
2023-12-11 09:56:21	ga_s2bm_ard_3-2-1_54HYH_2023-12-11_final.stac-item
2023-12-11 09:56:34	ga_s2bm_ard_3-2-1_55HBB_2023-12-11_final.stac-item
2023-12-11 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2023-12-11_final.stac-item
2023-12-11 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2023-12-11_final.stac-item
2023-12-11 09:56:49	ga_s2bm_ard_3-2-1_55HBA_2023-12-11_final.stac-item
2023-12-11 09:56:50	ga_s2bm_ard_3-2-1_54HYF_2023-12-11_final.stac-item
2023-12-11 09:56:54	ga_s2bm_ard_3-2-1_54HXF_2023-12-11_final.stac-item
2023-12-11 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2023-12-11_final.stac-item
2023-12-11 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2023-12-11_final.stac-item
2023-12-11 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2023-12-11_final.stac-item
2023-12-11 09:57:51	ga_s2bm_ard_3-2-1_54HXB_2023-12-11_nrt.stac-item
2023-12-11 09:57:55	ga_s2bm_ard_3-2-1_54HWB_2023-12-11_nrt.stac-item
2023-12-11 09:57:58	ga_s2bm_ard_3-2-1_55GCR_2023-12-11_final.stac-item
2023-12-11 09:58:01	ga_s2bm_ard_3-2-1_55GBR_2023-12-11_final.stac-item
2023-12-11 09:58:02	ga_s2bm_ard_3-2-1_54GYA_2023-12-11_final.stac-item
2023-12-11 09:58:06	ga_s2bm_ard_3-2-1_54GXA_2023-12-11_nrt.stac-item
2023-12-11 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-12-11_nrt.stac-item
2023-12-11 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2023-12-11_final.stac-item
2023-12-11 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2023-12-11_final.stac-item
2023-12-11 09:58:16	ga_s2bm_ard_3-2-1_54GYV_2023-12-11_final.stac-item
2023-12-11 09:58:20	ga_s2bm_ard_3-2-1_54GXV_2023-12-11_nrt.stac-item
2023-12-11 09:58:23	ga_s2bm_ard_3-2-1_54GWV_2023-12-11_nrt.stac-item
2023-12-11 11:30:32	ga_s2bm_ard_3-2-1_52LBN_2023-12-11_nrt.stac-item
2023-12-11 11:30:34	ga_s2bm_ard_3-2-1_51LZH_2023-12-11_nrt.stac-item
2023-12-11 11:30:38	ga_s2bm_ard_3-2-1_51LYH_2023-12-11_nrt.stac-item
2023-12-11 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2023-12-11_final.stac-item
2023-12-11 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2023-12-11_final.stac-item
2023-12-11 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2023-12-11_final.stac-item
2023-12-11 11:32:19	ga_s2bm_ard_3-2-1_51KYA_2023-12-11_final.stac-item
2023-12-11 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2023-12-11_final.stac-item
2023-12-11 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2023-12-11_final.stac-item
2023-12-11 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-12-11_final.stac-item
2023-12-11 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-11_final.stac-item
2023-12-11 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-12-11_final.stac-item
2023-12-11 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-12-11_final.stac-item
2023-12-11 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-12-11_final.stac-item
2023-12-11 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-12-11_final.stac-item
2023-12-11 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-12-11_final.stac-item
2023-12-11 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2023-12-11_final.stac-item
2023-12-11 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2023-12-11_final.stac-item
2023-12-11 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2023-12-11_final.stac-item
2023-12-11 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-12-11_final.stac-item
2023-12-11 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2023-12-11_final.stac-item
2023-12-11 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2023-12-11_final.stac-item
2023-12-11 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2023-12-11_final.stac-item
2023-12-11 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2023-12-11_final.stac-item
2023-12-11 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2023-12-11_final.stac-item
2023-12-11 11:35:44	ga_s2bm_ard_3-2-1_50JQN_2023-12-11_final.stac-item
2023-12-11 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-12-11_final.stac-item
2023-12-11 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2023-12-11_final.stac-item
2023-12-11 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2023-12-11_final.stac-item
2023-12-11 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2023-12-11_final.stac-item
2023-12-11 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-12-11_final.stac-item
2023-12-11 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2023-12-11_final.stac-item
2023-12-11 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-12-11_final.stac-item
2023-12-11 11:37:22	ga_s2bm_ard_3-2-1_51HUA_2023-12-11_nrt.stac-item
2023-12-11 11:37:25	ga_s2bm_ard_3-2-1_51HTA_2023-12-11_nrt.stac-item
2023-12-11 11:37:25	ga_s2bm_ard_3-2-1_50HQF_2023-12-11_nrt.stac-item
2023-12-11 11:37:27	ga_s2bm_ard_3-2-1_50HPF_2023-12-11_nrt.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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