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
2023-10-01 12:05:21	ga_s2bm_ard_3-2-1_49JFL_2023-10-01_nrt.stac-item
2023-10-01 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-01_final.stac-item
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final.stac-item
2023-10-01 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-01_final.stac-item
2023-10-01 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-01_final.stac-item
2023-10-01 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2023-10-01_final.stac-item
2023-10-02 09:49:56	ga_s2bm_ard_3-2-1_56LLN_2023-10-02_nrt.stac-item
2023-10-02 09:51:56	ga_s2bm_ard_3-2-1_56KKE_2023-10-02_nrt.stac-item
2023-10-02 09:51:57	ga_s2bm_ard_3-2-1_55KHV_2023-10-02_nrt.stac-item
2023-10-02 09:52:00	ga_s2bm_ard_3-2-1_55KGV_2023-10-02_nrt.stac-item
2023-10-02 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2023-10-02_final.stac-item
2023-10-02 09:52:33	ga_s2bm_ard_3-2-1_55KFT_2023-10-02_final.stac-item
2023-10-02 09:52:36	ga_s2bm_ard_3-2-1_55KET_2023-10-02_final.stac-item
2023-10-02 09:53:02	ga_s2bm_ard_3-2-1_55KFR_2023-10-02_final.stac-item
2023-10-02 09:53:16	ga_s2bm_ard_3-2-1_55KFQ_2023-10-02_final.stac-item
2023-10-02 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2023-10-02_final.stac-item
2023-10-02 09:53:22	ga_s2bm_ard_3-2-1_55KGQ_2023-10-02_final.stac-item
2023-10-02 09:53:34	ga_s2bm_ard_3-2-1_55KEP_2023-10-02_final.stac-item
2023-10-02 09:53:38	ga_s2bm_ard_3-2-1_55KDP_2023-10-02_final.stac-item
2023-10-02 09:53:49	ga_s2bm_ard_3-2-1_55JGM_2023-10-02_final.stac-item
2023-10-02 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2023-10-02_final.stac-item
2023-10-02 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-10-02_final.stac-item
2023-10-02 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-10-02_final.stac-item
2023-10-02 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2023-10-02_final.stac-item
2023-10-02 09:55:08	ga_s2bm_ard_3-2-1_55JCH_2023-10-02_final.stac-item
2023-10-02 09:55:16	ga_s2bm_ard_3-2-1_55JEG_2023-10-02_final.stac-item
2023-10-02 09:55:19	ga_s2bm_ard_3-2-1_55JDG_2023-10-02_final.stac-item
2023-10-02 09:55:30	ga_s2bm_ard_3-2-1_55JEF_2023-10-02_final.stac-item
2023-10-02 09:55:34	ga_s2bm_ard_3-2-1_55JDF_2023-10-02_final.stac-item
2023-10-02 09:55:44	ga_s2bm_ard_3-2-1_55HEE_2023-10-02_final.stac-item
2023-10-02 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2023-10-02_final.stac-item
2023-10-02 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2023-10-02_final.stac-item
2023-10-02 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2023-10-02_final.stac-item
2023-10-02 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2023-10-02_final.stac-item
2023-10-02 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2023-10-02_final.stac-item
2023-10-02 09:56:26	ga_s2bm_ard_3-2-1_54HYH_2023-10-02_final.stac-item
2023-10-02 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2023-10-02_final.stac-item
2023-10-02 09:56:36	ga_s2bm_ard_3-2-1_55HCB_2023-10-02_final.stac-item
2023-10-02 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2023-10-02_final.stac-item
2023-10-02 09:56:47	ga_s2bm_ard_3-2-1_54HXG_2023-10-02_final.stac-item
2023-10-02 09:57:10	ga_s2bm_ard_3-2-1_55HDU_2023-10-02_final.stac-item
2023-10-02 09:57:19	ga_s2bm_ard_3-2-1_55HCU_2023-10-02_final.stac-item
2023-10-02 09:57:23	ga_s2bm_ard_3-2-1_55HBU_2023-10-02_final.stac-item
2023-10-02 09:57:24	ga_s2bm_ard_3-2-1_54HYD_2023-10-02_final.stac-item
2023-10-02 09:57:28	ga_s2bm_ard_3-2-1_54HXD_2023-10-02_final.stac-item
2023-10-02 09:57:34	ga_s2bm_ard_3-2-1_55HCT_2023-10-02_final.stac-item
2023-10-02 09:57:37	ga_s2bm_ard_3-2-1_55HBT_2023-10-02_final.stac-item
2023-10-02 09:57:38	ga_s2bm_ard_3-2-1_54HYC_2023-10-02_final.stac-item
2023-10-02 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2023-10-02_final.stac-item
2023-10-02 09:57:47	ga_s2bm_ard_3-2-1_54HWC_2023-10-02_final.stac-item
2023-10-02 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2023-10-02_final.stac-item
2023-10-02 09:57:56	ga_s2bm_ard_3-2-1_54HXB_2023-10-02_nrt.stac-item
2023-10-02 09:58:00	ga_s2bm_ard_3-2-1_54HWB_2023-10-02_nrt.stac-item
2023-10-02 09:58:25	ga_s2bm_ard_3-2-1_55GCP_2023-10-02_final.stac-item
2023-10-02 09:58:30	ga_s2bm_ard_3-2-1_54GYU_2023-10-02_nrt.stac-item
2023-10-02 09:58:30	ga_s2bm_ard_3-2-1_55GBP_2023-10-02_nrt.stac-item
2023-10-02 09:58:32	ga_s2bm_ard_3-2-1_54GXU_2023-10-02_nrt.stac-item
2023-10-02 11:30:45	ga_s2bm_ard_3-2-1_51LXH_2023-10-02_nrt.stac-item
2023-10-02 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2023-10-02_final.stac-item
2023-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-10-02_final.stac-item
2023-10-02 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-10-02_final.stac-item
2023-10-02 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-10-02_final.stac-item
2023-10-02 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-02_final.stac-item
2023-10-02 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-10-02_final.stac-item
2023-10-02 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-02_final.stac-item
2023-10-02 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-02_final.stac-item
2023-10-02 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2023-10-02_final.stac-item
2023-10-02 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2023-10-02_final.stac-item
2023-10-02 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-10-02_final.stac-item
2023-10-02 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2023-10-02_final.stac-item
2023-10-02 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-10-02_final.stac-item
2023-10-02 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-10-02_final.stac-item
2023-10-02 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2023-10-02_final.stac-item
2023-10-02 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2023-10-02_final.stac-item
2023-10-02 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2023-10-02_final.stac-item
2023-10-02 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2023-10-02_final.stac-item
2023-10-02 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2023-10-02_final.stac-item
2023-10-02 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2023-10-02_final.stac-item
2023-10-02 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-02_final.stac-item
2023-10-02 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2023-10-02_final.stac-item
2023-10-02 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2023-10-02_final.stac-item
2023-10-02 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-10-02_final.stac-item
2023-10-02 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-10-02_final.stac-item
2023-10-02 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2023-10-02_final.stac-item
2023-10-02 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-02_final.stac-item
2023-10-02 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2023-10-02_final.stac-item
2023-10-02 11:36:25	ga_s2bm_ard_3-2-1_51HVE_2023-10-02_final.stac-item
2023-10-02 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-02_final.stac-item
2023-10-02 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-02_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2023-10-02_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-10-02_final.stac-item
2023-10-02 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-10-02_final.stac-item
2023-10-02 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-02_final.stac-item
2023-10-02 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-02_final.stac-item
2023-10-02 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-02_final.stac-item
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_final.stac-item
2023-10-02 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2023-10-02_final.stac-item
2023-10-02 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2023-10-02_final.stac-item
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final.stac-item
2023-10-02 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-10-02_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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