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
2021-09-24 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2021-09-24_final
2021-09-25 10:01:12	ga_s2bm_ard_3-2-1_55LFC_2021-09-25_final
2021-09-25 10:01:22	ga_s2bm_ard_3-2-1_55LCC_2021-09-25_final
2021-09-25 10:01:30	ga_s2bm_ard_3-2-1_55KEB_2021-09-25_final
2021-09-25 10:01:34	ga_s2bm_ard_3-2-1_55KDB_2021-09-25_final
2021-09-25 10:01:59	ga_s2bm_ard_3-2-1_55KEV_2021-09-25_final
2021-09-25 10:02:03	ga_s2bm_ard_3-2-1_55KDV_2021-09-25_final
2021-09-25 10:02:03	ga_s2bm_ard_3-2-1_55KFU_2021-09-25_final
2021-09-25 10:02:13	ga_s2bm_ard_3-2-1_55KBV_2021-09-25_final
2021-09-25 10:02:14	ga_s2bm_ard_3-2-1_55KEU_2021-09-25_final
2021-09-25 10:02:17	ga_s2bm_ard_3-2-1_55KDU_2021-09-25_final
2021-09-25 10:02:20	ga_s2bm_ard_3-2-1_55KCU_2021-09-25_final
2021-09-25 10:02:53	ga_s2bm_ard_3-2-1_55KBS_2021-09-25_final
2021-09-25 10:03:07	ga_s2bm_ard_3-2-1_55KBR_2021-09-25_final
2021-09-25 10:03:15	ga_s2bm_ard_3-2-1_55KDQ_2021-09-25_final
2021-09-25 10:03:19	ga_s2bm_ard_3-2-1_55KCQ_2021-09-25_final
2021-09-25 10:03:30	ga_s2bm_ard_3-2-1_55KDP_2021-09-25_final
2021-09-25 10:03:44	ga_s2bm_ard_3-2-1_55JDN_2021-09-25_final
2021-09-25 10:03:51	ga_s2bm_ard_3-2-1_55JBN_2021-09-25_final
2021-09-25 10:03:54	ga_s2bm_ard_3-2-1_54JYT_2021-09-25_final
2021-09-25 10:03:59	ga_s2bm_ard_3-2-1_55JDM_2021-09-25_final
2021-09-25 10:04:02	ga_s2bm_ard_3-2-1_55JCM_2021-09-25_final
2021-09-25 10:04:06	ga_s2bm_ard_3-2-1_55JBM_2021-09-25_final
2021-09-25 10:04:09	ga_s2bm_ard_3-2-1_54JYS_2021-09-25_final
2021-09-25 10:04:11	ga_s2bm_ard_3-2-1_55JDL_2021-09-25_final
2021-09-25 10:04:19	ga_s2bm_ard_3-2-1_55JDL_2021-09-25_final
2021-09-25 10:04:31	ga_s2bm_ard_3-2-1_55JCK_2021-09-25_final
2021-09-25 10:04:35	ga_s2bm_ard_3-2-1_55JBK_2021-09-25_final
2021-09-25 10:04:38	ga_s2bm_ard_3-2-1_54JYQ_2021-09-25_final
2021-09-25 10:04:42	ga_s2bm_ard_3-2-1_54JXQ_2021-09-25_final
2021-09-25 10:04:46	ga_s2bm_ard_3-2-1_55JCJ_2021-09-25_final
2021-09-25 10:04:49	ga_s2bm_ard_3-2-1_55JBJ_2021-09-25_final
2021-09-25 10:04:52	ga_s2bm_ard_3-2-1_54JYP_2021-09-25_final
2021-09-25 10:05:10	ga_s2bm_ard_3-2-1_54JXN_2021-09-25_final
2021-09-25 10:05:27	ga_s2bm_ard_3-2-1_55JCF_2021-09-25_final
2021-09-25 10:05:31	ga_s2bm_ard_3-2-1_54JWM_2021-09-25_final
2021-09-25 10:05:39	ga_s2bm_ard_3-2-1_54JXL_2021-09-25_final
2021-09-25 10:05:47	ga_s2bm_ard_3-2-1_55HBE_2021-09-25_final
2021-09-25 10:05:50	ga_s2bm_ard_3-2-1_54HYK_2021-09-25_final
2021-09-25 10:05:54	ga_s2bm_ard_3-2-1_54HXK_2021-09-25_final
2021-09-25 10:06:04	ga_s2bm_ard_3-2-1_54HYJ_2021-09-25_final
2021-09-25 10:06:08	ga_s2bm_ard_3-2-1_54HXJ_2021-09-25_final
2021-09-25 10:06:17	ga_s2bm_ard_3-2-1_55HBC_2021-09-25_final
2021-09-25 10:06:33	ga_s2bm_ard_3-2-1_54HYG_2021-09-25_final
2021-09-25 10:06:37	ga_s2bm_ard_3-2-1_54HXG_2021-09-25_final
2021-09-25 10:06:44	ga_s2bm_ard_3-2-1_55HBA_2021-09-25_final
2021-09-25 10:06:48	ga_s2bm_ard_3-2-1_54HYF_2021-09-25_final
2021-09-25 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2021-09-25_final
2021-09-25 10:07:01	ga_s2bm_ard_3-2-1_54HYE_2021-09-25_final
2021-09-25 10:07:06	ga_s2bm_ard_3-2-1_54HXE_2021-09-25_final
2021-09-25 10:07:10	ga_s2bm_ard_3-2-1_54HWE_2021-09-25_final
2021-09-25 10:07:12	ga_s2bm_ard_3-2-1_54HYD_2021-09-25_final
2021-09-25 10:07:20	ga_s2bm_ard_3-2-1_54HXD_2021-09-25_final
2021-09-25 10:07:24	ga_s2bm_ard_3-2-1_54HWD_2021-09-25_final
2021-09-25 10:07:28	ga_s2bm_ard_3-2-1_54HVD_2021-09-25_final
2021-09-25 10:07:33	ga_s2bm_ard_3-2-1_54HUD_2021-09-25_final.stac-item
2021-09-25 10:07:35	ga_s2bm_ard_3-2-1_54HXC_2021-09-25_final
2021-09-25 10:07:39	ga_s2bm_ard_3-2-1_54HWC_2021-09-25_final
2021-09-25 10:07:42	ga_s2bm_ard_3-2-1_54HVC_2021-09-25_final.stac-item
2021-09-25 11:41:24	ga_s2bm_ard_3-2-1_51LWE_2021-09-25_final
2021-09-25 11:41:28	ga_s2bm_ard_3-2-1_51LVE_2021-09-25_final
2021-09-25 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2021-09-25_final
2021-09-25 11:42:00	ga_s2bm_ard_3-2-1_51LUC_2021-09-25_final.stac-item
2021-09-25 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2021-09-25_final
2021-09-25 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2021-09-25_final
2021-09-25 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-09-25_final
2021-09-25 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-09-25_final
2021-09-25 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-09-25_final
2021-09-25 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-09-25_final
2021-09-25 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2021-09-25_final
2021-09-25 11:43:34	ga_s2bm_ard_3-2-1_50KQB_2021-09-25_final
2021-09-25 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2021-09-25_final
2021-09-25 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2021-09-25_final
2021-09-25 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2021-09-25_final
2021-09-25 11:44:08	ga_s2bm_ard_3-2-1_50KPV_2021-09-25_final
2021-09-25 11:44:14	ga_s2bm_ard_3-2-1_51KTP_2021-09-25_final
2021-09-25 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2021-09-25_final
2021-09-25 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2021-09-25_final
2021-09-25 11:44:39	ga_s2bm_ard_3-2-1_51JUM_2021-09-25_final
2021-09-25 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2021-09-25_final
2021-09-25 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2021-09-25_final
2021-09-25 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2021-09-25_final
2021-09-25 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2021-09-25_final
2021-09-25 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-09-25_final
2021-09-25 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2021-09-25_final
2021-09-25 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2021-09-25_final
2021-09-25 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2021-09-25_final
2021-09-25 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-09-25_final
2021-09-25 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-09-25_final
2021-09-25 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2021-09-25_final
2021-09-25 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-09-25_final
2021-09-25 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-09-25_final
2021-09-25 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-09-25_final
2021-09-25 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-09-25_final
2021-09-25 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-09-25_final
2021-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-09-25_final
2021-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-09-25_final
2021-09-25 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-09-25_final
2021-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-09-25_final
2021-09-25 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-09-25_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