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
2023-02-13 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2023-02-13_final.stac-item
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final.stac-item
2023-02-13 12:05:18	ga_s2bm_ard_3-2-1_49JFL_2023-02-13_nrt.stac-item
2023-02-13 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2023-02-13_final.stac-item
2023-02-13 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2023-02-13_final.stac-item
2023-02-13 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2023-02-13_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final.stac-item
2023-02-13 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-02-13_final.stac-item
2023-02-13 12:05:46	ga_s2bm_ard_3-2-1_49JFJ_2023-02-13_nrt.stac-item
2023-02-13 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-02-13_final.stac-item
2023-02-13 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2023-02-13_final.stac-item
2023-02-13 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-02-13_final.stac-item
2023-02-13 12:06:11	ga_s2bm_ard_3-2-1_49JGG_2023-02-13_nrt.stac-item
2023-02-13 12:06:13	ga_s2bm_ard_3-2-1_50JLL_2023-02-13_final.stac-item
2023-02-13 12:06:15	ga_s2bm_ard_3-2-1_49JFG_2023-02-13_nrt.stac-item
2023-02-13 12:06:21	ga_s2bm_ard_3-2-1_50JKL_2023-02-13_nrt.stac-item
2023-02-13 12:06:22	ga_s2bm_ard_3-2-1_49JGF_2023-02-13_nrt.stac-item
2023-02-13 12:06:24	ga_s2bm_ard_3-2-1_49JFF_2023-02-13_nrt.stac-item
2023-02-14 09:52:04	ga_s2bm_ard_3-2-1_55KEV_2023-02-14_final.stac-item
2023-02-14 09:54:11	ga_s2bm_ard_3-2-1_55JFL_2023-02-14_final.stac-item
2023-02-14 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2023-02-14_final.stac-item
2023-02-14 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2023-02-14_final.stac-item
2023-02-14 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2023-02-14_final.stac-item
2023-02-14 09:54:26	ga_s2bm_ard_3-2-1_55JFK_2023-02-14_final.stac-item
2023-02-14 09:54:39	ga_s2bm_ard_3-2-1_55JFJ_2023-02-14_final.stac-item
2023-02-14 09:54:44	ga_s2bm_ard_3-2-1_55JEJ_2023-02-14_final.stac-item
2023-02-14 09:54:47	ga_s2bm_ard_3-2-1_55JDJ_2023-02-14_final.stac-item
2023-02-14 09:54:51	ga_s2bm_ard_3-2-1_55JCJ_2023-02-14_final.stac-item
2023-02-14 09:54:58	ga_s2bm_ard_3-2-1_55JEH_2023-02-14_final.stac-item
2023-02-14 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2023-02-14_final.stac-item
2023-02-14 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2023-02-14_final.stac-item
2023-02-14 09:55:13	ga_s2bm_ard_3-2-1_55JEG_2023-02-14_final.stac-item
2023-02-14 09:55:16	ga_s2bm_ard_3-2-1_55JDG_2023-02-14_final.stac-item
2023-02-14 09:55:23	ga_s2bm_ard_3-2-1_55JBG_2023-02-14_final.stac-item
2023-02-14 09:55:27	ga_s2bm_ard_3-2-1_55JEF_2023-02-14_final.stac-item
2023-02-14 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2023-02-14_final.stac-item
2023-02-14 09:55:37	ga_s2bm_ard_3-2-1_55JBF_2023-02-14_final.stac-item
2023-02-14 09:55:41	ga_s2bm_ard_3-2-1_55HEE_2023-02-14_final.stac-item
2023-02-14 09:55:45	ga_s2bm_ard_3-2-1_55HDE_2023-02-14_final.stac-item
2023-02-14 09:55:49	ga_s2bm_ard_3-2-1_55HCE_2023-02-14_final.stac-item
2023-02-14 09:56:00	ga_s2bm_ard_3-2-1_55HDD_2023-02-14_final.stac-item
2023-02-14 09:56:03	ga_s2bm_ard_3-2-1_55HCD_2023-02-14_final.stac-item
2023-02-14 09:56:18	ga_s2bm_ard_3-2-1_55HCC_2023-02-14_final.stac-item
2023-02-14 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2023-02-14_final.stac-item
2023-02-14 09:56:23	ga_s2bm_ard_3-2-1_54HYH_2023-02-14_final.stac-item
2023-02-14 09:56:32	ga_s2bm_ard_3-2-1_55HCB_2023-02-14_final.stac-item
2023-02-14 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2023-02-14_final.stac-item
2023-02-14 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2023-02-14_final.stac-item
2023-02-14 09:57:07	ga_s2bm_ard_3-2-1_55HDU_2023-02-14_final.stac-item
2023-02-14 09:57:16	ga_s2bm_ard_3-2-1_55HCU_2023-02-14_final.stac-item
2023-02-14 09:57:20	ga_s2bm_ard_3-2-1_55HBU_2023-02-14_final.stac-item
2023-02-14 09:57:20	ga_s2bm_ard_3-2-1_54HYD_2023-02-14_final.stac-item
2023-02-14 09:57:25	ga_s2bm_ard_3-2-1_54HXD_2023-02-14_final.stac-item
2023-02-14 09:57:31	ga_s2bm_ard_3-2-1_55HCT_2023-02-14_final.stac-item
2023-02-14 09:57:34	ga_s2bm_ard_3-2-1_55HBT_2023-02-14_final.stac-item
2023-02-14 09:57:35	ga_s2bm_ard_3-2-1_54HYC_2023-02-14_final.stac-item
2023-02-14 09:57:39	ga_s2bm_ard_3-2-1_54HXC_2023-02-14_final.stac-item
2023-02-14 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2023-02-14_final.stac-item
2023-02-14 09:57:59	ga_s2bm_ard_3-2-1_55GCR_2023-02-14_final.stac-item
2023-02-14 09:58:03	ga_s2bm_ard_3-2-1_55GBR_2023-02-14_final.stac-item
2023-02-14 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2023-02-14_final.stac-item
2023-02-14 09:58:08	ga_s2bm_ard_3-2-1_54GXA_2023-02-14_nrt.stac-item
2023-02-14 09:58:12	ga_s2bm_ard_3-2-1_54GWA_2023-02-14_nrt.stac-item
2023-02-14 09:58:12	ga_s2bm_ard_3-2-1_55GCQ_2023-02-14_final.stac-item
2023-02-14 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2023-02-14_final.stac-item
2023-02-14 09:58:18	ga_s2bm_ard_3-2-1_54GYV_2023-02-14_final.stac-item
2023-02-14 09:58:22	ga_s2bm_ard_3-2-1_54GXV_2023-02-14_nrt.stac-item
2023-02-14 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2023-02-14_final.stac-item
2023-02-14 09:58:24	ga_s2bm_ard_3-2-1_54GWV_2023-02-14_nrt.stac-item
2023-02-14 09:58:27	ga_s2bm_ard_3-2-1_55GBP_2023-02-14_nrt.stac-item
2023-02-14 09:58:29	ga_s2bm_ard_3-2-1_54GXU_2023-02-14_nrt.stac-item
2023-02-14 09:58:30	ga_s2bm_ard_3-2-1_54GVV_2023-02-14_nrt.stac-item
2023-02-14 11:31:44	ga_s2bm_ard_3-2-1_51LWD_2023-02-14_nrt.stac-item
2023-02-14 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2023-02-14_final.stac-item
2023-02-14 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2023-02-14_final.stac-item
2023-02-14 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2023-02-14_final.stac-item
2023-02-14 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2023-02-14_final.stac-item
2023-02-14 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2023-02-14_final.stac-item
2023-02-14 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-02-14_final.stac-item
2023-02-14 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2023-02-14_final.stac-item
2023-02-14 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2023-02-14_final.stac-item
2023-02-14 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2023-02-14_final.stac-item
2023-02-14 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2023-02-14_final.stac-item
2023-02-14 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2023-02-14_final.stac-item
2023-02-14 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2023-02-14_final.stac-item
2023-02-14 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-02-14_final.stac-item
2023-02-14 11:35:54	ga_s2bm_ard_3-2-1_51JVG_2023-02-14_final.stac-item
2023-02-14 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2023-02-14_final.stac-item
2023-02-14 11:36:01	ga_s2bm_ard_3-2-1_51JTG_2023-02-14_final.stac-item
2023-02-14 11:36:16	ga_s2bm_ard_3-2-1_51JTF_2023-02-14_final.stac-item
2023-02-14 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-02-14_final.stac-item
2023-02-14 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2023-02-14_final.stac-item
2023-02-14 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2023-02-14_final.stac-item
2023-02-14 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2023-02-14_final.stac-item
2023-02-14 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2023-02-14_final.stac-item
2023-02-14 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-02-14_final.stac-item
2023-02-14 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-02-14_final.stac-item
2023-02-14 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2023-02-14_final.stac-item
2023-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-02-14_final.stac-item
2023-02-14 11:37:14	ga_s2bm_ard_3-2-1_51HTB_2023-02-14_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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