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
2022-06-18 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2022-06-18_final
2022-06-18 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-06-18_final
2022-06-18 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-06-18_final
2022-06-18 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-06-18_final
2022-06-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-06-18_final
2022-06-19 09:51:29	ga_s2bm_ard_3-2-1_56KKG_2022-06-19_final.stac-item
2022-06-19 09:51:30	ga_s2bm_ard_3-2-1_55KHB_2022-06-19_final.stac-item
2022-06-19 09:51:34	ga_s2bm_ard_3-2-1_55KGB_2022-06-19_final
2022-06-19 09:52:10	ga_s2bm_ard_3-2-1_55KEV_2022-06-19_final
2022-06-19 09:52:36	ga_s2bm_ard_3-2-1_55KFT_2022-06-19_final
2022-06-19 09:52:39	ga_s2bm_ard_3-2-1_55KET_2022-06-19_final
2022-06-19 09:52:46	ga_s2bm_ard_3-2-1_55KGS_2022-06-19_final
2022-06-19 09:53:05	ga_s2bm_ard_3-2-1_55KFR_2022-06-19_final
2022-06-19 09:53:19	ga_s2bm_ard_3-2-1_55KFQ_2022-06-19_final
2022-06-19 09:53:37	ga_s2bm_ard_3-2-1_55KEP_2022-06-19_final
2022-06-19 09:53:40	ga_s2bm_ard_3-2-1_55KDP_2022-06-19_final
2022-06-19 09:54:31	ga_s2bm_ard_3-2-1_55JFK_2022-06-19_final
2022-06-19 09:54:42	ga_s2bm_ard_3-2-1_55JCK_2022-06-19_final
2022-06-19 09:54:56	ga_s2bm_ard_3-2-1_55JCJ_2022-06-19_final
2022-06-19 09:55:05	ga_s2bm_ard_3-2-1_55JCJ_2022-06-19_final
2022-06-19 09:55:22	ga_s2bm_ard_3-2-1_55JDG_2022-06-19_final
2022-06-19 09:55:28	ga_s2bm_ard_3-2-1_55JBG_2022-06-19_final
2022-06-19 09:55:33	ga_s2bm_ard_3-2-1_55JEF_2022-06-19_final
2022-06-19 09:55:37	ga_s2bm_ard_3-2-1_55JDF_2022-06-19_final
2022-06-19 09:55:43	ga_s2bm_ard_3-2-1_55JBF_2022-06-19_final
2022-06-19 09:55:55	ga_s2bm_ard_3-2-1_55HCE_2022-06-19_final
2022-06-19 09:56:09	ga_s2bm_ard_3-2-1_55HCD_2022-06-19_final
2022-06-19 09:56:12	ga_s2bm_ard_3-2-1_55HBD_2022-06-19_final
2022-06-19 09:56:14	ga_s2bm_ard_3-2-1_54HYJ_2022-06-19_final
2022-06-19 09:56:20	ga_s2bm_ard_3-2-1_55HDC_2022-06-19_final
2022-06-19 09:56:27	ga_s2bm_ard_3-2-1_55HBC_2022-06-19_final
2022-06-19 09:56:29	ga_s2bm_ard_3-2-1_54HYH_2022-06-19_final
2022-06-19 09:56:35	ga_s2bm_ard_3-2-1_55HDB_2022-06-19_final
2022-06-19 09:56:38	ga_s2bm_ard_3-2-1_55HCB_2022-06-19_final
2022-06-19 09:56:41	ga_s2bm_ard_3-2-1_55HBB_2022-06-19_final
2022-06-19 09:56:43	ga_s2bm_ard_3-2-1_54HYG_2022-06-19_final
2022-06-19 09:56:49	ga_s2bm_ard_3-2-1_55HDA_2022-06-19_final
2022-06-19 09:56:50	ga_s2bm_ard_3-2-1_54HXG_2022-06-19_final
2022-06-19 09:57:02	ga_s2bm_ard_3-2-1_55HDV_2022-06-19_final
2022-06-19 09:57:07	ga_s2bm_ard_3-2-1_55HCV_2022-06-19_final
2022-06-19 09:57:11	ga_s2bm_ard_3-2-1_55HBV_2022-06-19_final
2022-06-19 09:57:12	ga_s2bm_ard_3-2-1_54HYE_2022-06-19_final
2022-06-19 09:57:12	ga_s2bm_ard_3-2-1_55HDU_2022-06-19_final
2022-06-19 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2022-06-19_final
2022-06-19 09:57:36	ga_s2bm_ard_3-2-1_55HCT_2022-06-19_final
2022-06-19 09:57:40	ga_s2bm_ard_3-2-1_55HBT_2022-06-19_final
2022-06-19 09:57:41	ga_s2bm_ard_3-2-1_54HYC_2022-06-19_final
2022-06-19 09:57:45	ga_s2bm_ard_3-2-1_54HXC_2022-06-19_final
2022-06-19 09:57:49	ga_s2bm_ard_3-2-1_54HWC_2022-06-19_final
2022-06-19 09:57:51	ga_s2bm_ard_3-2-1_55HCS_2022-06-19_final
2022-06-19 09:57:54	ga_s2bm_ard_3-2-1_55HBS_2022-06-19_final
2022-06-19 09:57:55	ga_s2bm_ard_3-2-1_54HYB_2022-06-19_final
2022-06-19 09:58:05	ga_s2bm_ard_3-2-1_55GCR_2022-06-19_final
2022-06-19 09:58:09	ga_s2bm_ard_3-2-1_55GBR_2022-06-19_final
2022-06-19 09:58:09	ga_s2bm_ard_3-2-1_54GYA_2022-06-19_final
2022-06-19 09:58:17	ga_s2bm_ard_3-2-1_55GCQ_2022-06-19_final
2022-06-19 09:58:23	ga_s2bm_ard_3-2-1_55GBQ_2022-06-19_final.stac-item
2022-06-19 09:58:24	ga_s2bm_ard_3-2-1_54GYV_2022-06-19_final.stac-item
2022-06-19 11:32:03	ga_s2bm_ard_3-2-1_51KZB_2022-06-19_final
2022-06-19 11:32:04	ga_s2bm_ard_3-2-1_51LWC_2022-06-19_final
2022-06-19 11:32:12	ga_s2bm_ard_3-2-1_51KYB_2022-06-19_final
2022-06-19 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2022-06-19_final
2022-06-19 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2022-06-19_final
2022-06-19 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-06-19_final
2022-06-19 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2022-06-19_final
2022-06-19 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-06-19_final
2022-06-19 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2022-06-19_final
2022-06-19 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2022-06-19_final
2022-06-19 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2022-06-19_final
2022-06-19 11:33:52	ga_s2bm_ard_3-2-1_51KUR_2022-06-19_final
2022-06-19 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-06-19_final
2022-06-19 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2022-06-19_final
2022-06-19 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-06-19_final
2022-06-19 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2022-06-19_final
2022-06-19 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2022-06-19_final
2022-06-19 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2022-06-19_final
2022-06-19 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2022-06-19_final
2022-06-19 11:35:02	ga_s2bm_ard_3-2-1_51JVL_2022-06-19_final
2022-06-19 11:35:08	ga_s2bm_ard_3-2-1_51JTL_2022-06-19_final
2022-06-19 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2022-06-19_final
2022-06-19 11:35:34	ga_s2bm_ard_3-2-1_51JUJ_2022-06-19_final
2022-06-19 11:36:00	ga_s2bm_ard_3-2-1_51JVG_2022-06-19_final
2022-06-19 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2022-06-19_final
2022-06-19 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2022-06-19_final
2022-06-19 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2022-06-19_final
2022-06-19 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2022-06-19_final
2022-06-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-06-19_final
2022-06-19 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2022-06-19_final
2022-06-19 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2022-06-19_final
2022-06-19 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2022-06-19_final
2022-06-19 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-06-19_final
2022-06-19 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2022-06-19_final
2022-06-19 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-06-19_final
2022-06-19 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-06-19_final
2022-06-19 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2022-06-19_final
2022-06-19 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-06-19_final
2022-06-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-06-19_final
2022-06-19 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2022-06-19_final.stac-item
2022-06-19 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2022-06-19_final.stac-item
2022-06-19 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2022-06-19_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