Search ga_s2bm_ard_3 on 15th August 2020

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
2020-08-15 09:41:30	ga_s2bm_ard_3-2-1_56KLG_2020-08-15_final.stac-item
2020-08-15 09:41:33	ga_s2bm_ard_3-2-1_56KKG_2020-08-15_final.stac-item
2020-08-15 09:41:36	ga_s2bm_ard_3-2-1_55KHB_2020-08-15_final.stac-item
2020-08-15 09:41:42	ga_s2bm_ard_3-2-1_56KMF_2020-08-15_final.stac-item
2020-08-15 09:41:45	ga_s2bm_ard_3-2-1_56KLF_2020-08-15_final
2020-08-15 09:42:37	ga_s2bm_ard_3-2-1_55KGT_2020-08-15_final
2020-08-15 09:42:47	ga_s2bm_ard_3-2-1_55KHS_2020-08-15_final
2020-08-15 09:42:50	ga_s2bm_ard_3-2-1_55KGS_2020-08-15_final
2020-08-15 09:42:53	ga_s2bm_ard_3-2-1_56KMA_2020-08-15_final
2020-08-15 09:42:58	ga_s2bm_ard_3-2-1_56KLA_2020-08-15_final
2020-08-15 09:43:01	ga_s2bm_ard_3-2-1_55KHR_2020-08-15_final
2020-08-15 09:43:05	ga_s2bm_ard_3-2-1_55KGR_2020-08-15_final
2020-08-15 09:43:16	ga_s2bm_ard_3-2-1_55KHQ_2020-08-15_final
2020-08-15 09:43:41	ga_s2bm_ard_3-2-1_56JLT_2020-08-15_final
2020-08-15 09:43:44	ga_s2bm_ard_3-2-1_55JHN_2020-08-15_final
2020-08-15 09:43:51	ga_s2bm_ard_3-2-1_55JFN_2020-08-15_final
2020-08-15 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2020-08-15_final
2020-08-15 09:44:03	ga_s2bm_ard_3-2-1_55JGM_2020-08-15_final
2020-08-15 09:44:17	ga_s2bm_ard_3-2-1_55JGL_2020-08-15_final
2020-08-15 09:44:32	ga_s2bm_ard_3-2-1_55JGK_2020-08-15_final
2020-08-15 09:44:39	ga_s2bm_ard_3-2-1_55JEK_2020-08-15_final
2020-08-15 09:44:43	ga_s2bm_ard_3-2-1_56JKP_2020-08-15_final
2020-08-15 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2020-08-15_final
2020-08-15 09:44:53	ga_s2bm_ard_3-2-1_55JEJ_2020-08-15_final
2020-08-15 09:45:12	ga_s2bm_ard_3-2-1_56JKM_2020-08-15_final
2020-08-15 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2020-08-15_final
2020-08-15 09:45:19	ga_s2bm_ard_3-2-1_55JFG_2020-08-15_final
2020-08-15 09:45:33	ga_s2bm_ard_3-2-1_55JFF_2020-08-15_final
2020-08-15 09:45:44	ga_s2bm_ard_3-2-1_55HGE_2020-08-15_final
2020-08-15 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2020-08-15_final
2020-08-15 09:46:35	ga_s2bm_ard_3-2-1_55HEB_2020-08-15_final
2020-08-15 09:46:38	ga_s2bm_ard_3-2-1_55HDB_2020-08-15_final
2020-08-15 09:47:00	ga_s2bm_ard_3-2-1_55HFV_2020-08-15_final
2020-08-15 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2020-08-15_final
2020-08-15 09:47:07	ga_s2bm_ard_3-2-1_55HDV_2020-08-15_final
2020-08-15 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2020-08-15_final
2020-08-15 09:47:47	ga_s2bm_ard_3-2-1_55HES_2020-08-15_final
2020-08-15 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2020-08-15_final
2020-08-15 09:47:57	ga_s2bm_ard_3-2-1_55HBS_2020-08-15_final
2020-08-15 09:47:58	ga_s2bm_ard_3-2-1_54HYB_2020-08-15_final
2020-08-15 09:48:02	ga_s2bm_ard_3-2-1_55GER_2020-08-15_final
2020-08-15 09:48:05	ga_s2bm_ard_3-2-1_55GDR_2020-08-15_final
2020-08-15 09:48:09	ga_s2bm_ard_3-2-1_55GCR_2020-08-15_final
2020-08-15 09:48:12	ga_s2bm_ard_3-2-1_55GBR_2020-08-15_final
2020-08-15 09:48:12	ga_s2bm_ard_3-2-1_54GYA_2020-08-15_final
2020-08-15 09:48:15	ga_s2bm_ard_3-2-1_55GEQ_2020-08-15_final
2020-08-15 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2020-08-15_final
2020-08-15 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2020-08-15_final
2020-08-15 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2020-08-15_final
2020-08-15 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2020-08-15_final.stac-item
2020-08-15 09:48:27	ga_s2bm_ard_3-2-1_54GYV_2020-08-15_final.stac-item
2020-08-15 09:48:34	ga_s2bm_ard_3-2-1_55GDP_2020-08-15_final
2020-08-15 09:48:38	ga_s2bm_ard_3-2-1_55GCP_2020-08-15_final
2020-08-15 11:21:01	ga_s2bm_ard_3-2-1_52LEL_2020-08-15_final.stac-item
2020-08-15 11:21:39	ga_s2bm_ard_3-2-1_52LCJ_2020-08-15_final
2020-08-15 11:21:42	ga_s2bm_ard_3-2-1_52LBJ_2020-08-15_final
2020-08-15 11:21:43	ga_s2bm_ard_3-2-1_51LZD_2020-08-15_final
2020-08-15 11:22:08	ga_s2bm_ard_3-2-1_52KCG_2020-08-15_final
2020-08-15 11:22:11	ga_s2bm_ard_3-2-1_52KBG_2020-08-15_final
2020-08-15 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2020-08-15_final
2020-08-15 11:22:15	ga_s2bm_ard_3-2-1_51KYB_2020-08-15_final
2020-08-15 11:22:22	ga_s2bm_ard_3-2-1_52KCF_2020-08-15_final
2020-08-15 11:22:40	ga_s2bm_ard_3-2-1_52KBE_2020-08-15_final
2020-08-15 11:22:45	ga_s2bm_ard_3-2-1_51KYV_2020-08-15_final
2020-08-15 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2020-08-15_final
2020-08-15 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2020-08-15_final
2020-08-15 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2020-08-15_final
2020-08-15 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2020-08-15_final
2020-08-15 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2020-08-15_final
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2020-08-15_final
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-15_final
2020-08-15 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2020-08-15_final
2020-08-15 11:23:20	ga_s2bm_ard_3-2-1_52KCB_2020-08-15_final
2020-08-15 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-08-15_final
2020-08-15 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-08-15_final
2020-08-15 11:23:31	ga_s2bm_ard_3-2-1_52KCA_2020-08-15_final
2020-08-15 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-08-15_final
2020-08-15 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-08-15_final
2020-08-15 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-08-15_final
2020-08-15 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-08-15_final
2020-08-15 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-08-15_final
2020-08-15 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2020-08-15_final
2020-08-15 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2020-08-15_final
2020-08-15 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2020-08-15_final
2020-08-15 11:24:33	ga_s2bm_ard_3-2-1_51JWN_2020-08-15_final
2020-08-15 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2020-08-15_final
2020-08-15 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2020-08-15_final
2020-08-15 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2020-08-15_final
2020-08-15 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2020-08-15_final
2020-08-15 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2020-08-15_final
2020-08-15 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2020-08-15_final
2020-08-15 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2020-08-15_final
2020-08-15 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2020-08-15_final
2020-08-15 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2020-08-15_final
2020-08-15 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2020-08-15_final
2020-08-15 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2020-08-15_final
2020-08-15 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2020-08-15_final
2020-08-15 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2020-08-15_final
2020-08-15 11:26:42	ga_s2bm_ard_3-2-1_51HXD_2020-08-15_final
2020-08-15 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2020-08-15_final

Return to ga_s2bm_ard_3 on 15th August 2020 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

2020

August

15th