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
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final
2020-11-18 12:14:32	ga_s2bm_ard_3-2-1_49JHN_2020-11-18_final
2020-11-18 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-11-18_final
2020-11-18 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2020-11-18_final
2020-11-19 10:01:12	ga_s2bm_ard_3-2-1_55LCD_2020-11-19_final
2020-11-19 10:01:29	ga_s2bm_ard_3-2-1_55KFB_2020-11-19_final
2020-11-19 10:01:33	ga_s2bm_ard_3-2-1_55KEB_2020-11-19_final
2020-11-19 10:01:36	ga_s2bm_ard_3-2-1_55KDB_2020-11-19_final
2020-11-19 10:01:39	ga_s2bm_ard_3-2-1_55KCB_2020-11-19_final
2020-11-19 10:01:43	ga_s2bm_ard_3-2-1_55KFA_2020-11-19_final
2020-11-19 10:01:51	ga_s2bm_ard_3-2-1_55KDA_2020-11-19_final
2020-11-19 10:01:54	ga_s2bm_ard_3-2-1_55KCA_2020-11-19_final
2020-11-19 10:02:23	ga_s2bm_ard_3-2-1_55KCU_2020-11-19_final
2020-11-19 10:02:40	ga_s2bm_ard_3-2-1_55KBT_2020-11-19_final
2020-11-19 10:02:42	ga_s2bm_ard_3-2-1_54KZC_2020-11-19_final
2020-11-19 10:02:45	ga_s2bm_ard_3-2-1_55KES_2020-11-19_final
2020-11-19 10:02:49	ga_s2bm_ard_3-2-1_55KDS_2020-11-19_final
2020-11-19 10:02:52	ga_s2bm_ard_3-2-1_55KCS_2020-11-19_final
2020-11-19 10:02:55	ga_s2bm_ard_3-2-1_54KZB_2020-11-19_final
2020-11-19 10:02:59	ga_s2bm_ard_3-2-1_55KER_2020-11-19_final
2020-11-19 10:03:03	ga_s2bm_ard_3-2-1_55KDR_2020-11-19_final
2020-11-19 10:03:10	ga_s2bm_ard_3-2-1_55KBR_2020-11-19_final
2020-11-19 10:03:10	ga_s2bm_ard_3-2-1_54KZA_2020-11-19_final
2020-11-19 10:03:21	ga_s2bm_ard_3-2-1_55KCQ_2020-11-19_final
2020-11-19 10:03:24	ga_s2bm_ard_3-2-1_55KBQ_2020-11-19_final
2020-11-19 10:03:25	ga_s2bm_ard_3-2-1_54KZV_2020-11-19_final
2020-11-19 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2020-11-19_final
2020-11-19 10:03:39	ga_s2bm_ard_3-2-1_55KBP_2020-11-19_final
2020-11-19 10:03:39	ga_s2bm_ard_3-2-1_54KZU_2020-11-19_final
2020-11-19 10:03:47	ga_s2bm_ard_3-2-1_55JDN_2020-11-19_final
2020-11-19 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2020-11-19_final
2020-11-19 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2020-11-19_final
2020-11-19 10:03:53	ga_s2bm_ard_3-2-1_55JBN_2020-11-19_final
2020-11-19 10:03:57	ga_s2bm_ard_3-2-1_54JYT_2020-11-19_final
2020-11-19 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2020-11-19_final
2020-11-19 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2020-11-19_final
2020-11-19 10:04:08	ga_s2bm_ard_3-2-1_54JZS_2020-11-19_final
2020-11-19 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2020-11-19_final
2020-11-19 10:04:19	ga_s2bm_ard_3-2-1_55JCL_2020-11-19_final
2020-11-19 10:04:24	ga_s2bm_ard_3-2-1_55JDK_2020-11-19_final
2020-11-19 10:04:33	ga_s2bm_ard_3-2-1_54JXR_2020-11-19_final
2020-11-19 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2020-11-19_final
2020-11-19 10:05:04	ga_s2bm_ard_3-2-1_54JYN_2020-11-19_final
2020-11-19 10:05:10	ga_s2bm_ard_3-2-1_55JBH_2020-11-19_final
2020-11-19 10:05:11	ga_s2bm_ard_3-2-1_54JYN_2020-11-19_final
2020-11-19 10:05:45	ga_s2bm_ard_3-2-1_54JWL_2020-11-19_final
2020-11-19 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2020-11-19_final
2020-11-19 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2020-11-19_final
2020-11-19 10:06:56	ga_s2bm_ard_3-2-1_55HBV_2020-11-19_final
2020-11-19 10:06:58	ga_s2bm_ard_3-2-1_54HWF_2020-11-19_final
2020-11-19 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2020-11-19_final
2020-11-19 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2020-11-19_final
2020-11-19 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2020-11-19_final
2020-11-19 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2020-11-19_final.stac-item
2020-11-19 11:41:01	ga_s2bm_ard_3-2-1_51LVG_2020-11-19_final
2020-11-19 11:41:16	ga_s2bm_ard_3-2-1_51LVF_2020-11-19_final
2020-11-19 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2020-11-19_final
2020-11-19 11:41:27	ga_s2bm_ard_3-2-1_51LWE_2020-11-19_final
2020-11-19 11:41:30	ga_s2bm_ard_3-2-1_51LVE_2020-11-19_final
2020-11-19 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2020-11-19_final
2020-11-19 11:41:48	ga_s2bm_ard_3-2-1_51LUD_2020-11-19_final.stac-item
2020-11-19 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2020-11-19_final
2020-11-19 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2020-11-19_final
2020-11-19 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2020-11-19_final.stac-item
2020-11-19 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2020-11-19_final
2020-11-19 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2020-11-19_final
2020-11-19 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2020-11-19_final
2020-11-19 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2020-11-19_final
2020-11-19 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2020-11-19_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2020-11-19_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-11-19_final
2020-11-19 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2020-11-19_final
2020-11-19 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2020-11-19_final
2020-11-19 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2020-11-19_final
2020-11-19 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2020-11-19_final
2020-11-19 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2020-11-19_final
2020-11-19 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2020-11-19_final
2020-11-19 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2020-11-19_final
2020-11-19 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2020-11-19_final
2020-11-19 11:44:06	ga_s2bm_ard_3-2-1_50KQV_2020-11-19_final
2020-11-19 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2020-11-19_final
2020-11-19 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2020-11-19_final
2020-11-19 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2020-11-19_final
2020-11-19 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2020-11-19_final
2020-11-19 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2020-11-19_final
2020-11-19 11:44:24	ga_s2bm_ard_3-2-1_50KPU_2020-11-19_final
2020-11-19 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-11-19_final
2020-11-19 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2020-11-19_final
2020-11-19 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2020-11-19_final
2020-11-19 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2020-11-19_final
2020-11-19 11:44:41	ga_s2bm_ard_3-2-1_51JUM_2020-11-19_final
2020-11-19 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2020-11-19_final
2020-11-19 11:44:52	ga_s2bm_ard_3-2-1_51JUL_2020-11-19_final
2020-11-19 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2020-11-19_final
2020-11-19 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2020-11-19_final
2020-11-19 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2020-11-19_final
2020-11-19 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2020-11-19_final
2020-11-19 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2020-11-19_final
2020-11-19 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2020-11-19_final
2020-11-19 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2020-11-19_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