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
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-13_final
2020-03-13 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2020-03-13_final
2020-03-13 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-03-13_final
2020-03-13 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2020-03-13_final
2020-03-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-13_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-03-13 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2020-03-13_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-03-13_final
2020-03-13 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2020-03-13_final
2020-03-14 10:01:10	ga_s2bm_ard_3-2-1_55LCD_2020-03-14_final
2020-03-14 10:01:30	ga_s2bm_ard_3-2-1_55KEB_2020-03-14_final
2020-03-14 10:01:33	ga_s2bm_ard_3-2-1_55KDB_2020-03-14_final
2020-03-14 10:02:24	ga_s2bm_ard_3-2-1_55KBU_2020-03-14_final
2020-03-14 10:02:38	ga_s2bm_ard_3-2-1_55KBT_2020-03-14_final
2020-03-14 10:02:40	ga_s2bm_ard_3-2-1_54KZC_2020-03-14_final
2020-03-14 10:02:49	ga_s2bm_ard_3-2-1_55KCS_2020-03-14_final
2020-03-14 10:03:07	ga_s2bm_ard_3-2-1_55KBR_2020-03-14_final
2020-03-14 10:03:07	ga_s2bm_ard_3-2-1_54KZA_2020-03-14_final
2020-03-14 10:03:29	ga_s2bm_ard_3-2-1_55KDP_2020-03-14_final
2020-03-14 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2020-03-14_final
2020-03-14 10:03:36	ga_s2bm_ard_3-2-1_54KZU_2020-03-14_final
2020-03-14 10:03:41	ga_s2bm_ard_3-2-1_54KYU_2020-03-14_final
2020-03-14 10:03:44	ga_s2bm_ard_3-2-1_55JDN_2020-03-14_final
2020-03-14 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2020-03-14_final
2020-03-14 10:03:51	ga_s2bm_ard_3-2-1_55JBN_2020-03-14_final
2020-03-14 10:03:54	ga_s2bm_ard_3-2-1_54JYT_2020-03-14_final
2020-03-14 10:03:58	ga_s2bm_ard_3-2-1_55JDM_2020-03-14_final
2020-03-14 10:04:02	ga_s2bm_ard_3-2-1_55JCM_2020-03-14_final
2020-03-14 10:04:05	ga_s2bm_ard_3-2-1_55JBM_2020-03-14_final
2020-03-14 10:04:09	ga_s2bm_ard_3-2-1_54JYS_2020-03-14_final
2020-03-14 10:04:12	ga_s2bm_ard_3-2-1_55JDL_2020-03-14_final
2020-03-14 10:04:22	ga_s2bm_ard_3-2-1_55JDK_2020-03-14_final
2020-03-14 10:04:31	ga_s2bm_ard_3-2-1_55JCK_2020-03-14_final
2020-03-14 10:04:35	ga_s2bm_ard_3-2-1_55JBK_2020-03-14_final
2020-03-14 10:04:37	ga_s2bm_ard_3-2-1_54JYQ_2020-03-14_final
2020-03-14 10:04:42	ga_s2bm_ard_3-2-1_54JXQ_2020-03-14_final
2020-03-14 10:04:49	ga_s2bm_ard_3-2-1_55JBJ_2020-03-14_final
2020-03-14 10:04:52	ga_s2bm_ard_3-2-1_54JYP_2020-03-14_final
2020-03-14 10:05:00	ga_s2bm_ard_3-2-1_55JCH_2020-03-14_final
2020-03-14 10:05:10	ga_s2bm_ard_3-2-1_54JXN_2020-03-14_final
2020-03-14 10:05:14	ga_s2bm_ard_3-2-1_55JCG_2020-03-14_final
2020-03-14 10:05:18	ga_s2bm_ard_3-2-1_55JBG_2020-03-14_final
2020-03-14 10:05:25	ga_s2bm_ard_3-2-1_54JXM_2020-03-14_final
2020-03-14 10:05:31	ga_s2bm_ard_3-2-1_54JWM_2020-03-14_final
2020-03-14 10:05:39	ga_s2bm_ard_3-2-1_54JXL_2020-03-14_final
2020-03-14 10:05:47	ga_s2bm_ard_3-2-1_55HBE_2020-03-14_final
2020-03-14 10:05:50	ga_s2bm_ard_3-2-1_54HYK_2020-03-14_final
2020-03-14 10:06:02	ga_s2bm_ard_3-2-1_55HBD_2020-03-14_final
2020-03-14 10:06:04	ga_s2bm_ard_3-2-1_54HYJ_2020-03-14_final
2020-03-14 10:06:17	ga_s2bm_ard_3-2-1_55HBC_2020-03-14_final
2020-03-14 10:06:18	ga_s2bm_ard_3-2-1_54HYH_2020-03-14_final
2020-03-14 10:06:22	ga_s2bm_ard_3-2-1_54HXH_2020-03-14_final
2020-03-14 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2020-03-14_final
2020-03-14 10:06:32	ga_s2bm_ard_3-2-1_54HVH_2020-03-14_final
2020-03-14 10:06:55	ga_s2bm_ard_3-2-1_54HWF_2020-03-14_final
2020-03-14 10:06:58	ga_s2bm_ard_3-2-1_54HVF_2020-03-14_final
2020-03-14 10:07:20	ga_s2bm_ard_3-2-1_54HXD_2020-03-14_final
2020-03-14 10:07:24	ga_s2bm_ard_3-2-1_54HWD_2020-03-14_final
2020-03-14 10:07:28	ga_s2bm_ard_3-2-1_54HVD_2020-03-14_final
2020-03-14 10:07:33	ga_s2bm_ard_3-2-1_54HUD_2020-03-14_final.stac-item
2020-03-14 11:41:13	ga_s2bm_ard_3-2-1_51LVF_2020-03-14_final
2020-03-14 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2020-03-14_final
2020-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-14_final
2020-03-14 11:43:07	ga_s2bm_ard_3-2-1_50KQD_2020-03-14_final.stac-item
2020-03-14 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-03-14_final
2020-03-14 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2020-03-14_final
2020-03-14 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2020-03-14_final
2020-03-14 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-03-14_final
2020-03-14 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2020-03-14_final
2020-03-14 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2020-03-14_final
2020-03-14 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2020-03-14_final
2020-03-14 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2020-03-14_final
2020-03-14 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2020-03-14_final
2020-03-14 11:44:21	ga_s2bm_ard_3-2-1_50KPU_2020-03-14_final
2020-03-14 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2020-03-14_final
2020-03-14 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2020-03-14_final
2020-03-14 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2020-03-14_final
2020-03-14 11:44:39	ga_s2bm_ard_3-2-1_51JUM_2020-03-14_final
2020-03-14 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2020-03-14_final
2020-03-14 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2020-03-14_final
2020-03-14 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2020-03-14_final
2020-03-14 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2020-03-14_final
2020-03-14 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2020-03-14_final
2020-03-14 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2020-03-14_final
2020-03-14 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2020-03-14_final
2020-03-14 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2020-03-14_final
2020-03-14 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2020-03-14_final
2020-03-14 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2020-03-14_final
2020-03-14 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-03-14_final
2020-03-14 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2020-03-14_final
2020-03-14 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-03-14_final
2020-03-14 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final
2020-03-14 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-03-14 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-03-14_final
2020-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-14_final
2020-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-14_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final

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