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:

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First 100 results (query limit)

Time (local)	Label
2023-12-30 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2023-12-30_final.stac-item
2023-12-30 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2023-12-30_final.stac-item
2023-12-30 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-12-30_final.stac-item
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final.stac-item
2023-12-30 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2023-12-30_final.stac-item
2023-12-30 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-12-30_final.stac-item
2023-12-30 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-30_final.stac-item
2023-12-30 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2023-12-30_final.stac-item
2023-12-30 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2023-12-30_final.stac-item
2023-12-30 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-12-30_final.stac-item
2023-12-30 12:06:14	ga_s2bm_ard_3-2-1_49JGG_2023-12-30_nrt.stac-item
2023-12-31 09:51:05	ga_s2bm_ard_3-2-1_56LLH_2023-12-31_nrt.stac-item
2023-12-31 09:51:11	ga_s2bm_ard_3-2-1_56LKH_2023-12-31_nrt.stac-item
2023-12-31 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2023-12-31_final.stac-item
2023-12-31 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2023-12-31_final.stac-item
2023-12-31 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2023-12-31_final.stac-item
2023-12-31 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2023-12-31_final.stac-item
2023-12-31 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2023-12-31_final.stac-item
2023-12-31 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2023-12-31_final.stac-item
2023-12-31 09:52:03	ga_s2bm_ard_3-2-1_55KFV_2023-12-31_nrt.stac-item
2023-12-31 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2023-12-31_final.stac-item
2023-12-31 09:52:20	ga_s2bm_ard_3-2-1_56KKC_2023-12-31_nrt.stac-item
2023-12-31 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2023-12-31_final.stac-item
2023-12-31 09:52:24	ga_s2bm_ard_3-2-1_55KHT_2023-12-31_nrt.stac-item
2023-12-31 09:52:29	ga_s2bm_ard_3-2-1_55KGT_2023-12-31_final.stac-item
2023-12-31 09:52:47	ga_s2bm_ard_3-2-1_55KFS_2023-12-31_final.stac-item
2023-12-31 09:52:50	ga_s2bm_ard_3-2-1_55KES_2023-12-31_final.stac-item
2023-12-31 09:52:56	ga_s2bm_ard_3-2-1_55KDS_2023-12-31_final.stac-item
2023-12-31 09:53:38	ga_s2bm_ard_3-2-1_55JGN_2023-12-31_final.stac-item
2023-12-31 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2023-12-31_final.stac-item
2023-12-31 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2023-12-31_final.stac-item
2023-12-31 09:54:28	ga_s2bm_ard_3-2-1_55JFK_2023-12-31_final.stac-item
2023-12-31 09:54:36	ga_s2bm_ard_3-2-1_55JCK_2023-12-31_final.stac-item
2023-12-31 09:54:40	ga_s2bm_ard_3-2-1_55JEJ_2023-12-31_final.stac-item
2023-12-31 09:54:47	ga_s2bm_ard_3-2-1_55JEJ_2023-12-31_final.stac-item
2023-12-31 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2023-12-31_final.stac-item
2023-12-31 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2023-12-31_final.stac-item
2023-12-31 09:55:01	ga_s2bm_ard_3-2-1_55JEH_2023-12-31_final.stac-item
2023-12-31 09:55:05	ga_s2bm_ard_3-2-1_55JDH_2023-12-31_final.stac-item
2023-12-31 09:55:25	ga_s2bm_ard_3-2-1_55JBG_2023-12-31_final.stac-item
2023-12-31 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2023-12-31_final.stac-item
2023-12-31 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2023-12-31_final.stac-item
2023-12-31 09:56:02	ga_s2bm_ard_3-2-1_55HDD_2023-12-31_final.stac-item
2023-12-31 09:56:09	ga_s2bm_ard_3-2-1_55HBD_2023-12-31_final.stac-item
2023-12-31 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2023-12-31_final.stac-item
2023-12-31 09:56:47	ga_s2bm_ard_3-2-1_54HXG_2023-12-31_final.stac-item
2023-12-31 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2023-12-31_final.stac-item
2023-12-31 09:57:56	ga_s2bm_ard_3-2-1_54HXB_2023-12-31_nrt.stac-item
2023-12-31 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2023-12-31_final.stac-item
2023-12-31 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2023-12-31_final.stac-item
2023-12-31 11:31:25	ga_s2bm_ard_3-2-1_51LYE_2023-12-31_final.stac-item
2023-12-31 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2023-12-31_final.stac-item
2023-12-31 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2023-12-31_final.stac-item
2023-12-31 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2023-12-31_final.stac-item
2023-12-31 11:31:46	ga_s2bm_ard_3-2-1_51LWD_2023-12-31_nrt.stac-item
2023-12-31 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2023-12-31_final.stac-item
2023-12-31 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2023-12-31_final.stac-item
2023-12-31 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2023-12-31_final.stac-item
2023-12-31 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2023-12-31_final.stac-item
2023-12-31 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2023-12-31_final.stac-item
2023-12-31 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2023-12-31_final.stac-item
2023-12-31 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2023-12-31_final.stac-item
2023-12-31 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2023-12-31_final.stac-item
2023-12-31 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-12-31_final.stac-item
2023-12-31 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-12-31_final.stac-item
2023-12-31 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-12-31_final.stac-item
2023-12-31 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-12-31_final.stac-item
2023-12-31 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-12-31_final.stac-item
2023-12-31 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-12-31_final.stac-item
2023-12-31 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-12-31_final.stac-item
2023-12-31 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-12-31_final.stac-item
2023-12-31 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-31_final.stac-item
2023-12-31 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2023-12-31_final.stac-item
2023-12-31 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-12-31_final.stac-item
2023-12-31 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2023-12-31_final.stac-item
2023-12-31 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2023-12-31_final.stac-item
2023-12-31 11:35:05	ga_s2bm_ard_3-2-1_51JTL_2023-12-31_final.stac-item
2023-12-31 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2023-12-31_final.stac-item
2023-12-31 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2023-12-31_final.stac-item
2023-12-31 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2023-12-31_final.stac-item
2023-12-31 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2023-12-31_final.stac-item
2023-12-31 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2023-12-31_final.stac-item
2023-12-31 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-12-31_final.stac-item
2023-12-31 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2023-12-31_final.stac-item
2023-12-31 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2023-12-31_final.stac-item
2023-12-31 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2023-12-31_final.stac-item
2023-12-31 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-12-31_final.stac-item
2023-12-31 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final.stac-item
2023-12-31 11:35:54	ga_s2bm_ard_3-2-1_51JUH_2023-12-31_final.stac-item
2023-12-31 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2023-12-31_final.stac-item
2023-12-31 11:35:55	ga_s2bm_ard_3-2-1_51JTH_2023-12-31_final.stac-item
2023-12-31 11:35:56	ga_s2bm_ard_3-2-1_51JTG_2023-12-31_final.stac-item
2023-12-31 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final.stac-item
2023-12-31 11:35:57	ga_s2bm_ard_3-2-1_50JQM_2023-12-31_final.stac-item
2023-12-31 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2023-12-31_final.stac-item
2023-12-31 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2023-12-31_final.stac-item
2023-12-31 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-12-31_final.stac-item
2023-12-31 11:36:34	ga_s2bm_ard_3-2-1_51HVD_2023-12-31_final.stac-item
2023-12-31 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-12-31_final.stac-item
2023-12-31 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-12-31_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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