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
2018-11-22 10:44:25	ga_s2bm_ard_3-2-1_53JPL_2018-11-22_final
2018-11-22 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2018-11-22_final
2018-11-22 10:44:45	ga_s2bm_ard_3-2-1_53JKL_2018-11-22_final
2018-11-22 10:44:53	ga_s2bm_ard_3-2-1_53JLK_2018-11-22_final
2018-11-22 10:44:57	ga_s2bm_ard_3-2-1_53JKK_2018-11-22_final
2018-11-22 10:45:08	ga_s2bm_ard_3-2-1_53JLJ_2018-11-22_final
2018-11-22 10:45:11	ga_s2bm_ard_3-2-1_53JKJ_2018-11-22_final
2018-11-22 10:45:15	ga_s2bm_ard_3-2-1_53JNH_2018-11-22_final
2018-11-22 10:45:19	ga_s2bm_ard_3-2-1_53JMH_2018-11-22_final
2018-11-22 10:45:23	ga_s2bm_ard_3-2-1_53JLH_2018-11-22_final
2018-11-22 10:45:26	ga_s2bm_ard_3-2-1_53JKH_2018-11-22_final
2018-11-22 10:45:28	ga_s2bm_ard_3-2-1_53JNG_2018-11-22_final
2018-11-22 10:45:33	ga_s2bm_ard_3-2-1_53JMG_2018-11-22_final
2018-11-22 10:45:37	ga_s2bm_ard_3-2-1_53JLG_2018-11-22_final
2018-11-22 10:45:38	ga_s2bm_ard_3-2-1_53JNF_2018-11-22_final
2018-11-22 10:45:40	ga_s2bm_ard_3-2-1_53JKG_2018-11-22_final
2018-11-22 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2018-11-22_final
2018-11-22 10:45:48	ga_s2bm_ard_3-2-1_53JMF_2018-11-22_final
2018-11-22 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2018-11-22_final
2018-11-22 10:45:55	ga_s2bm_ard_3-2-1_53JKF_2018-11-22_final
2018-11-22 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2018-11-22_final
2018-11-22 10:46:03	ga_s2bm_ard_3-2-1_53HME_2018-11-22_final
2018-11-22 10:46:06	ga_s2bm_ard_3-2-1_53HLE_2018-11-22_final
2018-11-22 10:46:09	ga_s2bm_ard_3-2-1_53HKE_2018-11-22_final.stac-item
2018-11-22 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2018-11-22_final.stac-item
2018-11-22 10:46:21	ga_s2bm_ard_3-2-1_53HLD_2018-11-22_final
2018-11-22 10:46:28	ga_s2bm_ard_3-2-1_53HMC_2018-11-22_final.stac-item
2018-11-23 10:09:55	ga_s2bm_ard_3-2-1_54LZP_2018-11-23_final
2018-11-23 10:10:47	ga_s2bm_ard_3-2-1_55LCE_2018-11-23_final
2018-11-23 10:10:50	ga_s2bm_ard_3-2-1_55LBE_2018-11-23_final
2018-11-23 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2018-11-23_final
2018-11-23 10:10:57	ga_s2bm_ard_3-2-1_54LYK_2018-11-23_final
2018-11-23 10:11:16	ga_s2bm_ard_3-2-1_55LCC_2018-11-23_final
2018-11-23 10:11:19	ga_s2bm_ard_3-2-1_55LBC_2018-11-23_final
2018-11-23 10:11:20	ga_s2bm_ard_3-2-1_54LZH_2018-11-23_final
2018-11-23 10:11:24	ga_s2bm_ard_3-2-1_54LYH_2018-11-23_final
2018-11-23 10:11:30	ga_s2bm_ard_3-2-1_55KCB_2018-11-23_final
2018-11-23 10:11:48	ga_s2bm_ard_3-2-1_55KBA_2018-11-23_final
2018-11-23 10:11:49	ga_s2bm_ard_3-2-1_54KZF_2018-11-23_final
2018-11-23 10:11:53	ga_s2bm_ard_3-2-1_54KYF_2018-11-23_final
2018-11-23 10:12:00	ga_s2bm_ard_3-2-1_55KCV_2018-11-23_final
2018-11-23 10:12:03	ga_s2bm_ard_3-2-1_55KBV_2018-11-23_final
2018-11-23 10:12:04	ga_s2bm_ard_3-2-1_54KZE_2018-11-23_final
2018-11-23 10:12:07	ga_s2bm_ard_3-2-1_54KYE_2018-11-23_final
2018-11-23 10:12:11	ga_s2bm_ard_3-2-1_54KXE_2018-11-23_final
2018-11-23 10:12:13	ga_s2bm_ard_3-2-1_55KCU_2018-11-23_final
2018-11-23 10:12:46	ga_s2bm_ard_3-2-1_55KBS_2018-11-23_final
2018-11-23 10:13:01	ga_s2bm_ard_3-2-1_55KBR_2018-11-23_final
2018-11-23 10:13:05	ga_s2bm_ard_3-2-1_54KYA_2018-11-23_final
2018-11-23 10:13:09	ga_s2bm_ard_3-2-1_54KXA_2018-11-23_final
2018-11-23 10:13:12	ga_s2bm_ard_3-2-1_54KWA_2018-11-23_final
2018-11-23 10:13:16	ga_s2bm_ard_3-2-1_55KBQ_2018-11-23_final
2018-11-23 10:13:20	ga_s2bm_ard_3-2-1_54KYV_2018-11-23_final
2018-11-23 10:13:23	ga_s2bm_ard_3-2-1_54KXV_2018-11-23_final
2018-11-23 10:14:17	ga_s2bm_ard_3-2-1_54JYR_2018-11-23_final
2018-11-23 10:14:21	ga_s2bm_ard_3-2-1_54JXR_2018-11-23_final
2018-11-23 10:14:25	ga_s2bm_ard_3-2-1_54JWR_2018-11-23_final
2018-11-23 10:14:32	ga_s2bm_ard_3-2-1_54JYQ_2018-11-23_final
2018-11-23 10:14:36	ga_s2bm_ard_3-2-1_54JXQ_2018-11-23_final
2018-11-23 10:14:44	ga_s2bm_ard_3-2-1_54JYP_2018-11-23_final
2018-11-23 10:14:54	ga_s2bm_ard_3-2-1_54JYN_2018-11-23_final
2018-11-23 10:15:00	ga_s2bm_ard_3-2-1_54JXN_2018-11-23_final
2018-11-23 10:15:02	ga_s2bm_ard_3-2-1_54JWN_2018-11-23_final
2018-11-23 10:15:03	ga_s2bm_ard_3-2-1_54JUP_2018-11-23_final
2018-11-23 10:15:03	ga_s2bm_ard_3-2-1_54JVN_2018-11-23_final
2018-11-23 10:15:05	ga_s2bm_ard_3-2-1_54JUP_2018-11-23_final
2018-11-23 10:15:07	ga_s2bm_ard_3-2-1_54JXN_2018-11-23_final
2018-11-23 10:15:09	ga_s2bm_ard_3-2-1_54JWN_2018-11-23_final
2018-11-23 10:15:12	ga_s2bm_ard_3-2-1_54JVN_2018-11-23_final
2018-11-23 10:15:15	ga_s2bm_ard_3-2-1_54JUN_2018-11-23_final
2018-11-23 10:15:19	ga_s2bm_ard_3-2-1_54JXM_2018-11-23_final
2018-11-23 10:15:23	ga_s2bm_ard_3-2-1_54JWM_2018-11-23_final
2018-11-23 10:15:26	ga_s2bm_ard_3-2-1_54JVM_2018-11-23_final
2018-11-23 10:15:29	ga_s2bm_ard_3-2-1_54JUM_2018-11-23_final
2018-11-23 10:15:33	ga_s2bm_ard_3-2-1_54JXL_2018-11-23_final
2018-11-23 10:15:37	ga_s2bm_ard_3-2-1_54JWL_2018-11-23_final
2018-11-23 10:15:41	ga_s2bm_ard_3-2-1_54JVL_2018-11-23_final
2018-11-23 10:15:44	ga_s2bm_ard_3-2-1_54JUL_2018-11-23_final
2018-11-23 10:15:46	ga_s2bm_ard_3-2-1_54HXK_2018-11-23_final
2018-11-23 10:15:52	ga_s2bm_ard_3-2-1_54HWK_2018-11-23_final
2018-11-23 10:15:55	ga_s2bm_ard_3-2-1_54HVK_2018-11-23_final
2018-11-23 10:15:57	ga_s2bm_ard_3-2-1_54HXJ_2018-11-23_final
2018-11-23 10:15:59	ga_s2bm_ard_3-2-1_54HUK_2018-11-23_final
2018-11-23 10:16:13	ga_s2bm_ard_3-2-1_54HUJ_2018-11-23_final
2018-11-23 10:16:21	ga_s2bm_ard_3-2-1_54HWH_2018-11-23_final
2018-11-23 10:16:24	ga_s2bm_ard_3-2-1_54HVH_2018-11-23_final
2018-11-23 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2018-11-23_final
2018-11-23 10:16:35	ga_s2bm_ard_3-2-1_54HWG_2018-11-23_final
2018-11-23 10:16:39	ga_s2bm_ard_3-2-1_54HVG_2018-11-23_final
2018-11-23 10:16:42	ga_s2bm_ard_3-2-1_54HUG_2018-11-23_final
2018-11-23 10:16:45	ga_s2bm_ard_3-2-1_54HTG_2018-11-23_final
2018-11-23 10:16:57	ga_s2bm_ard_3-2-1_54HUF_2018-11-23_final
2018-11-23 10:17:00	ga_s2bm_ard_3-2-1_54HWE_2018-11-23_final
2018-11-23 10:17:00	ga_s2bm_ard_3-2-1_54HTF_2018-11-23_final
2018-11-23 10:17:01	ga_s2bm_ard_3-2-1_53HQA_2018-11-23_final
2018-11-23 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2018-11-23_final
2018-11-23 10:17:11	ga_s2bm_ard_3-2-1_54HUE_2018-11-23_final.stac-item
2018-11-23 10:17:15	ga_s2bm_ard_3-2-1_54HTE_2018-11-23_final.stac-item
2018-11-23 10:17:16	ga_s2bm_ard_3-2-1_53HQV_2018-11-23_final.stac-item
2018-11-23 10:17:22	ga_s2bm_ard_3-2-1_54HVD_2018-11-23_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