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
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final
2021-05-14 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-05-14_final
2021-05-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-05-14_final
2021-05-14 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-05-14_final
2021-05-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-05-14_final
2021-05-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-05-14_final
2021-05-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-05-14_final
2021-05-15 09:51:39	ga_s2bm_ard_3-2-1_56KKF_2021-05-15_final
2021-05-15 09:52:30	ga_s2bm_ard_3-2-1_55KFT_2021-05-15_final
2021-05-15 09:52:34	ga_s2bm_ard_3-2-1_55KET_2021-05-15_final
2021-05-15 09:52:41	ga_s2bm_ard_3-2-1_55KGS_2021-05-15_final
2021-05-15 09:52:56	ga_s2bm_ard_3-2-1_55KGR_2021-05-15_final
2021-05-15 09:52:59	ga_s2bm_ard_3-2-1_55KFR_2021-05-15_final
2021-05-15 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2021-05-15_final
2021-05-15 09:53:20	ga_s2bm_ard_3-2-1_55KDQ_2021-05-15_final
2021-05-15 09:53:24	ga_s2bm_ard_3-2-1_55KGP_2021-05-15_final
2021-05-15 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2021-05-15_final
2021-05-15 09:53:32	ga_s2bm_ard_3-2-1_55KEP_2021-05-15_final
2021-05-15 09:53:35	ga_s2bm_ard_3-2-1_55KDP_2021-05-15_final
2021-05-15 09:53:46	ga_s2bm_ard_3-2-1_55JGM_2021-05-15_final
2021-05-15 09:54:01	ga_s2bm_ard_3-2-1_55JEM_2021-05-15_final
2021-05-15 09:54:04	ga_s2bm_ard_3-2-1_55JDM_2021-05-15_final
2021-05-15 09:54:30	ga_s2bm_ard_3-2-1_55JEK_2021-05-15_final
2021-05-15 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2021-05-15_final
2021-05-15 09:54:59	ga_s2bm_ard_3-2-1_55JEH_2021-05-15_final
2021-05-15 09:55:03	ga_s2bm_ard_3-2-1_55JDH_2021-05-15_final
2021-05-15 09:55:23	ga_s2bm_ard_3-2-1_55JBG_2021-05-15_final
2021-05-15 09:55:28	ga_s2bm_ard_3-2-1_55JEF_2021-05-15_final
2021-05-15 09:55:32	ga_s2bm_ard_3-2-1_55JDF_2021-05-15_final
2021-05-15 09:55:53	ga_s2bm_ard_3-2-1_55HBE_2021-05-15_final
2021-05-15 09:56:07	ga_s2bm_ard_3-2-1_55HBD_2021-05-15_final
2021-05-15 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2021-05-15_final
2021-05-15 09:56:15	ga_s2bm_ard_3-2-1_55HDC_2021-05-15_final
2021-05-15 09:56:22	ga_s2bm_ard_3-2-1_55HBC_2021-05-15_final
2021-05-15 09:56:24	ga_s2bm_ard_3-2-1_54HYH_2021-05-15_final
2021-05-15 09:56:33	ga_s2bm_ard_3-2-1_55HCB_2021-05-15_final
2021-05-15 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2021-05-15_final
2021-05-15 09:56:38	ga_s2bm_ard_3-2-1_54HYG_2021-05-15_final
2021-05-15 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2021-05-15_final
2021-05-15 09:56:45	ga_s2bm_ard_3-2-1_54HXG_2021-05-15_final
2021-05-15 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2021-05-15_final
2021-05-15 09:57:02	ga_s2bm_ard_3-2-1_55HCV_2021-05-15_final
2021-05-15 09:57:05	ga_s2bm_ard_3-2-1_55HBV_2021-05-15_final
2021-05-15 09:57:07	ga_s2bm_ard_3-2-1_54HYE_2021-05-15_final
2021-05-15 09:57:07	ga_s2bm_ard_3-2-1_55HDU_2021-05-15_final
2021-05-15 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2021-05-15_final
2021-05-15 09:57:12	ga_s2bm_ard_3-2-1_55HCU_2021-05-15_final
2021-05-15 09:57:13	ga_s2bm_ard_3-2-1_55HBV_2021-05-15_final
2021-05-15 09:57:13	ga_s2bm_ard_3-2-1_55HBU_2021-05-15_final
2021-05-15 09:57:14	ga_s2bm_ard_3-2-1_54HYE_2021-05-15_final
2021-05-15 09:57:14	ga_s2bm_ard_3-2-1_54HYD_2021-05-15_final
2021-05-15 09:57:15	ga_s2bm_ard_3-2-1_54HXE_2021-05-15_final
2021-05-15 09:57:18	ga_s2bm_ard_3-2-1_55HCU_2021-05-15_final
2021-05-15 09:57:20	ga_s2bm_ard_3-2-1_55HBU_2021-05-15_final
2021-05-15 09:57:21	ga_s2bm_ard_3-2-1_54HYD_2021-05-15_final
2021-05-15 09:57:25	ga_s2bm_ard_3-2-1_54HXD_2021-05-15_final
2021-05-15 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-05-15_final
2021-05-15 09:58:00	ga_s2bm_ard_3-2-1_55GCR_2021-05-15_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_55GBR_2021-05-15_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2021-05-15_final
2021-05-15 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-05-15_final
2021-05-15 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2021-05-15_final.stac-item
2021-05-15 09:58:18	ga_s2bm_ard_3-2-1_54GYV_2021-05-15_final.stac-item
2021-05-15 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2021-05-15_final
2021-05-15 11:31:30	ga_s2bm_ard_3-2-1_51LWE_2021-05-15_final
2021-05-15 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2021-05-15_final
2021-05-15 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2021-05-15_final
2021-05-15 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-05-15_final
2021-05-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-05-15_final
2021-05-15 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-05-15_final
2021-05-15 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-05-15_final
2021-05-15 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-05-15_final
2021-05-15 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-05-15_final
2021-05-15 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-05-15_final
2021-05-15 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-05-15_final
2021-05-15 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-05-15_final
2021-05-15 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-05-15_final
2021-05-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-05-15_final
2021-05-15 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-05-15_final
2021-05-15 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-05-15_final
2021-05-15 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2021-05-15_final
2021-05-15 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2021-05-15_final
2021-05-15 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-05-15_final
2021-05-15 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2021-05-15_final
2021-05-15 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-05-15_final
2021-05-15 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-05-15_final
2021-05-15 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2021-05-15_final
2021-05-15 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2021-05-15_final
2021-05-15 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-05-15_final
2021-05-15 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-05-15_final
2021-05-15 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-05-15_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-05-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-05-15_final
2021-05-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-05-15_final
2021-05-15 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2021-05-15_final.stac-item
2021-05-15 11:37:14	ga_s2bm_ard_3-2-1_51HTB_2021-05-15_final.stac-item
2021-05-15 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-05-15_final.stac-item
2021-05-15 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-05-15_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

Other products

All years