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
2023-10-08 11:57:27	ga_s2bm_ard_3-2-1_49HFB_2023-10-08_nrt.stac-item
2023-10-08 11:57:28	ga_s2bm_ard_3-2-1_50HMF_2023-10-08_nrt.stac-item
2023-10-09 09:41:22	ga_s2bm_ard_3-2-1_56KNG_2023-10-09_nrt.stac-item
2023-10-09 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2023-10-09_final.stac-item
2023-10-09 09:41:46	ga_s2bm_ard_3-2-1_56KKF_2023-10-09_final.stac-item
2023-10-09 09:42:44	ga_s2bm_ard_3-2-1_55KHS_2023-10-09_final.stac-item
2023-10-09 09:43:13	ga_s2bm_ard_3-2-1_56KKV_2023-10-09_final.stac-item
2023-10-09 09:43:39	ga_s2bm_ard_3-2-1_56JLT_2023-10-09_final.stac-item
2023-10-09 09:43:49	ga_s2bm_ard_3-2-1_55JFN_2023-10-09_final.stac-item
2023-10-09 09:44:11	ga_s2bm_ard_3-2-1_56JKR_2023-10-09_final.stac-item
2023-10-09 09:44:15	ga_s2bm_ard_3-2-1_55JGL_2023-10-09_final.stac-item
2023-10-09 09:44:17	ga_s2bm_ard_3-2-1_56JLQ_2023-10-09_final.stac-item
2023-10-09 09:44:26	ga_s2bm_ard_3-2-1_56JKQ_2023-10-09_final.stac-item
2023-10-09 09:44:29	ga_s2bm_ard_3-2-1_55JGK_2023-10-09_final.stac-item
2023-10-09 09:44:33	ga_s2bm_ard_3-2-1_55JFK_2023-10-09_final.stac-item
2023-10-09 09:44:37	ga_s2bm_ard_3-2-1_55JEK_2023-10-09_final.stac-item
2023-10-09 09:44:40	ga_s2bm_ard_3-2-1_56JKP_2023-10-09_final.stac-item
2023-10-09 09:44:44	ga_s2bm_ard_3-2-1_55JGJ_2023-10-09_final.stac-item
2023-10-09 09:44:50	ga_s2bm_ard_3-2-1_55JEJ_2023-10-09_final.stac-item
2023-10-09 09:45:02	ga_s2bm_ard_3-2-1_55JFH_2023-10-09_final.stac-item
2023-10-09 09:45:05	ga_s2bm_ard_3-2-1_55JEH_2023-10-09_final.stac-item
2023-10-09 09:45:10	ga_s2bm_ard_3-2-1_56JKM_2023-10-09_final.stac-item
2023-10-09 09:45:12	ga_s2bm_ard_3-2-1_55JGG_2023-10-09_final.stac-item
2023-10-09 09:45:16	ga_s2bm_ard_3-2-1_55JFG_2023-10-09_final.stac-item
2023-10-09 09:45:23	ga_s2bm_ard_3-2-1_56JKL_2023-10-09_final.stac-item
2023-10-09 09:45:27	ga_s2bm_ard_3-2-1_55JGF_2023-10-09_final.stac-item
2023-10-09 09:45:34	ga_s2bm_ard_3-2-1_56HKK_2023-10-09_final.stac-item
2023-10-09 09:45:34	ga_s2bm_ard_3-2-1_55JEF_2023-10-09_final.stac-item
2023-10-09 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2023-10-09_final.stac-item
2023-10-09 09:45:41	ga_s2bm_ard_3-2-1_55HGE_2023-10-09_final.stac-item
2023-10-09 09:45:45	ga_s2bm_ard_3-2-1_55HFE_2023-10-09_final.stac-item
2023-10-09 09:45:49	ga_s2bm_ard_3-2-1_55HEE_2023-10-09_final.stac-item
2023-10-09 09:45:52	ga_s2bm_ard_3-2-1_55HDE_2023-10-09_final.stac-item
2023-10-09 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2023-10-09_final.stac-item
2023-10-09 09:46:28	ga_s2bm_ard_3-2-1_55HFB_2023-10-09_final.stac-item
2023-10-09 09:46:40	ga_s2bm_ard_3-2-1_55HCB_2023-10-09_final.stac-item
2023-10-09 09:46:45	ga_s2bm_ard_3-2-1_55HCB_2023-10-09_final.stac-item
2023-10-09 09:46:57	ga_s2bm_ard_3-2-1_55HFV_2023-10-09_final.stac-item
2023-10-09 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2023-10-09_final.stac-item
2023-10-09 09:47:05	ga_s2bm_ard_3-2-1_55HDV_2023-10-09_final.stac-item
2023-10-09 09:47:20	ga_s2bm_ard_3-2-1_55HFT_2023-10-09_final.stac-item
2023-10-09 09:47:30	ga_s2bm_ard_3-2-1_55HET_2023-10-09_final.stac-item
2023-10-09 09:47:34	ga_s2bm_ard_3-2-1_55HDT_2023-10-09_final.stac-item
2023-10-09 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2023-10-09_final.stac-item
2023-10-09 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2023-10-09_final.stac-item
2023-10-09 09:47:45	ga_s2bm_ard_3-2-1_55HES_2023-10-09_final.stac-item
2023-10-09 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2023-10-09_final.stac-item
2023-10-09 09:47:48	ga_s2bm_ard_3-2-1_55HDS_2023-10-09_final.stac-item
2023-10-09 09:47:52	ga_s2bm_ard_3-2-1_55HCS_2023-10-09_final.stac-item
2023-10-09 09:47:55	ga_s2bm_ard_3-2-1_55HBS_2023-10-09_final.stac-item
2023-10-09 09:47:56	ga_s2bm_ard_3-2-1_54HYB_2023-10-09_final.stac-item
2023-10-09 09:47:59	ga_s2bm_ard_3-2-1_55GER_2023-10-09_final.stac-item
2023-10-09 09:48:03	ga_s2bm_ard_3-2-1_55GDR_2023-10-09_final.stac-item
2023-10-09 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2023-10-09_final.stac-item
2023-10-09 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2023-10-09_final.stac-item
2023-10-09 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2023-10-09_final.stac-item
2023-10-09 09:48:12	ga_s2bm_ard_3-2-1_55GEQ_2023-10-09_final.stac-item
2023-10-09 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2023-10-09_final.stac-item
2023-10-09 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2023-10-09_final.stac-item
2023-10-09 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2023-10-09_final.stac-item
2023-10-09 09:48:24	ga_s2bm_ard_3-2-1_54GYV_2023-10-09_final.stac-item
2023-10-09 09:48:32	ga_s2bm_ard_3-2-1_55GDP_2023-10-09_final.stac-item
2023-10-09 09:48:36	ga_s2bm_ard_3-2-1_55GCP_2023-10-09_final.stac-item
2023-10-09 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2023-10-09_final.stac-item
2023-10-09 11:21:41	ga_s2bm_ard_3-2-1_51LZD_2023-10-09_final.stac-item
2023-10-09 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2023-10-09_final.stac-item
2023-10-09 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2023-10-09_final.stac-item
2023-10-09 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2023-10-09_final.stac-item
2023-10-09 11:22:02	ga_s2bm_ard_3-2-1_52KDG_2023-10-09_final.stac-item
2023-10-09 11:22:13	ga_s2bm_ard_3-2-1_52KDF_2023-10-09_final.stac-item
2023-10-09 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2023-10-09_final.stac-item
2023-10-09 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2023-10-09_final.stac-item
2023-10-09 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-10-09_final.stac-item
2023-10-09 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-10-09_final.stac-item
2023-10-09 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2023-10-09_final.stac-item
2023-10-09 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-10-09_final.stac-item
2023-10-09 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2023-10-09_final.stac-item
2023-10-09 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2023-10-09_final.stac-item
2023-10-09 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2023-10-09_final.stac-item
2023-10-09 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2023-10-09_final.stac-item
2023-10-09 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2023-10-09_final.stac-item
2023-10-09 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2023-10-09_final.stac-item
2023-10-09 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2023-10-09_final.stac-item
2023-10-09 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2023-10-09_final.stac-item
2023-10-09 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2023-10-09_final.stac-item
2023-10-09 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2023-10-09_final.stac-item
2023-10-09 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-10-09_final.stac-item
2023-10-09 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2023-10-09_final.stac-item
2023-10-09 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2023-10-09_final.stac-item
2023-10-09 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2023-10-09_final.stac-item
2023-10-09 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2023-10-09_final.stac-item
2023-10-09 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2023-10-09_final.stac-item
2023-10-09 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-09_final.stac-item
2023-10-09 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2023-10-09_final.stac-item
2023-10-09 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2023-10-09_final.stac-item
2023-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2023-10-09_final.stac-item
2023-10-09 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2023-10-09_final.stac-item
2023-10-09 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2023-10-09_final.stac-item
2023-10-09 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2023-10-09_final.stac-item
2023-10-09 11:27:12	ga_s2bm_ard_3-2-1_51HUB_2023-10-09_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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