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
2019-09-19 10:14:20	ga_s2bm_ard_3-2-1_54JYR_2019-09-19_final
2019-09-19 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2019-09-19_final
2019-09-19 10:14:27	ga_s2bm_ard_3-2-1_54JWR_2019-09-19_final
2019-09-19 10:14:30	ga_s2bm_ard_3-2-1_54JVR_2019-09-19_final
2019-09-19 10:14:38	ga_s2bm_ard_3-2-1_54JXQ_2019-09-19_final
2019-09-19 10:14:42	ga_s2bm_ard_3-2-1_54JWQ_2019-09-19_final
2019-09-19 10:14:45	ga_s2bm_ard_3-2-1_54JVQ_2019-09-19_final
2019-09-19 10:14:52	ga_s2bm_ard_3-2-1_54JXP_2019-09-19_final
2019-09-19 10:14:56	ga_s2bm_ard_3-2-1_54JWP_2019-09-19_final
2019-09-19 10:15:00	ga_s2bm_ard_3-2-1_54JVP_2019-09-19_final
2019-09-19 10:15:07	ga_s2bm_ard_3-2-1_54JUP_2019-09-19_final
2019-09-19 10:15:18	ga_s2bm_ard_3-2-1_54JUN_2019-09-19_final
2019-09-19 10:15:21	ga_s2bm_ard_3-2-1_54JXM_2019-09-19_final
2019-09-19 10:15:25	ga_s2bm_ard_3-2-1_54JWM_2019-09-19_final
2019-09-19 10:15:28	ga_s2bm_ard_3-2-1_54JVM_2019-09-19_final
2019-09-19 10:15:32	ga_s2bm_ard_3-2-1_54JUM_2019-09-19_final
2019-09-19 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2019-09-19_final
2019-09-19 10:15:46	ga_s2bm_ard_3-2-1_54JUL_2019-09-19_final
2019-09-19 10:15:49	ga_s2bm_ard_3-2-1_54HXK_2019-09-19_final
2019-09-19 10:15:54	ga_s2bm_ard_3-2-1_54HWK_2019-09-19_final
2019-09-19 10:15:58	ga_s2bm_ard_3-2-1_54HVK_2019-09-19_final
2019-09-19 10:16:01	ga_s2bm_ard_3-2-1_54HUK_2019-09-19_final
2019-09-19 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2019-09-19_final
2019-09-19 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2019-09-19_final
2019-09-19 10:16:27	ga_s2bm_ard_3-2-1_54HVH_2019-09-19_final
2019-09-19 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2019-09-19_final
2019-09-19 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2019-09-19_final
2019-09-19 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2019-09-19_final
2019-09-19 10:16:59	ga_s2bm_ard_3-2-1_54HUF_2019-09-19_final
2019-09-19 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2019-09-19_final
2019-09-19 10:17:04	ga_s2bm_ard_3-2-1_53HQA_2019-09-19_final
2019-09-19 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2019-09-19_final
2019-09-19 10:17:28	ga_s2bm_ard_3-2-1_54HUD_2019-09-19_final.stac-item
2019-09-19 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2019-09-19_final
2019-09-19 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2019-09-19_final
2019-09-19 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2019-09-19_final
2019-09-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2019-09-19_final
2019-09-19 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2019-09-19_final
2019-09-19 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2019-09-19_final
2019-09-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2019-09-19_final
2019-09-19 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2019-09-19_final
2019-09-19 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2019-09-19_final
2019-09-19 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2019-09-19_final
2019-09-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2019-09-19_final
2019-09-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-19_final
2019-09-19 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2019-09-19_final
2019-09-19 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2019-09-19_final
2019-09-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2019-09-19_final
2019-09-19 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2019-09-19_final
2019-09-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-09-19_final
2019-09-19 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-09-19_final
2019-09-19 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2019-09-19_final
2019-09-19 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2019-09-19_final
2019-09-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-09-19_final
2019-09-19 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-09-19_final.stac-item
2019-09-20 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2019-09-20_final
2019-09-20 09:44:09	ga_s2bm_ard_3-2-1_56JKR_2019-09-20_final
2019-09-20 09:44:13	ga_s2bm_ard_3-2-1_55JGL_2019-09-20_final
2019-09-20 09:44:15	ga_s2bm_ard_3-2-1_56JLQ_2019-09-20_final
2019-09-20 09:44:16	ga_s2bm_ard_3-2-1_55JFL_2019-09-20_final
2019-09-20 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2019-09-20_final
2019-09-20 09:44:31	ga_s2bm_ard_3-2-1_55JFK_2019-09-20_final
2019-09-20 09:44:35	ga_s2bm_ard_3-2-1_55JEK_2019-09-20_final
2019-09-20 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2019-09-20_final
2019-09-20 09:44:48	ga_s2bm_ard_3-2-1_55JEJ_2019-09-20_final
2019-09-20 09:45:00	ga_s2bm_ard_3-2-1_55JFH_2019-09-20_final
2019-09-20 09:45:08	ga_s2bm_ard_3-2-1_56JKM_2019-09-20_final
2019-09-20 09:45:10	ga_s2bm_ard_3-2-1_55JGG_2019-09-20_final
2019-09-20 09:45:14	ga_s2bm_ard_3-2-1_55JFG_2019-09-20_final
2019-09-20 09:45:18	ga_s2bm_ard_3-2-1_55JEG_2019-09-20_final
2019-09-20 09:45:21	ga_s2bm_ard_3-2-1_56JKL_2019-09-20_final
2019-09-20 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2019-09-20_final
2019-09-20 09:45:25	ga_s2bm_ard_3-2-1_55JDG_2019-09-20_final
2019-09-20 09:45:29	ga_s2bm_ard_3-2-1_55JFF_2019-09-20_final
2019-09-20 09:45:32	ga_s2bm_ard_3-2-1_55JEF_2019-09-20_final
2019-09-20 09:45:36	ga_s2bm_ard_3-2-1_55JDF_2019-09-20_final
2019-09-20 09:45:43	ga_s2bm_ard_3-2-1_55HFE_2019-09-20_final
2019-09-20 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2019-09-20_final
2019-09-20 09:45:50	ga_s2bm_ard_3-2-1_55HDE_2019-09-20_final
2019-09-20 09:45:54	ga_s2bm_ard_3-2-1_55HGD_2019-09-20_final
2019-09-20 09:46:01	ga_s2bm_ard_3-2-1_55HED_2019-09-20_final
2019-09-20 09:46:05	ga_s2bm_ard_3-2-1_55HDD_2019-09-20_final
2019-09-20 09:46:12	ga_s2bm_ard_3-2-1_55HFC_2019-09-20_final
2019-09-20 09:46:19	ga_s2bm_ard_3-2-1_55HDC_2019-09-20_final
2019-09-20 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2019-09-20_final
2019-09-20 09:46:33	ga_s2bm_ard_3-2-1_55HCB_2019-09-20_final
2019-09-20 09:46:34	ga_s2bm_ard_3-2-1_55HFB_2019-09-20_final
2019-09-20 09:46:34	ga_s2bm_ard_3-2-1_55HFA_2019-09-20_final
2019-09-20 09:46:40	ga_s2bm_ard_3-2-1_55HCB_2019-09-20_final
2019-09-20 09:46:41	ga_s2bm_ard_3-2-1_55HFA_2019-09-20_final
2019-09-20 09:46:51	ga_s2bm_ard_3-2-1_55HCA_2019-09-20_final
2019-09-20 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2019-09-20_final.stac-item
2019-09-20 09:47:14	ga_s2bm_ard_3-2-1_55HEU_2019-09-20_final
2019-09-20 09:47:21	ga_s2bm_ard_3-2-1_55HCU_2019-09-20_final
2019-09-20 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2019-09-20_final
2019-09-20 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2019-09-20_final
2019-09-20 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2019-09-20_final
2019-09-20 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2019-09-20_final
2019-09-20 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2019-09-20_final
2019-09-20 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2019-09-20_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