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
2022-02-06 11:22:57	ga_s2bm_ard_3-2-1_52KCC_2022-02-06_final
2022-02-06 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2022-02-06_final
2022-02-06 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2022-02-06_final
2022-02-06 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2022-02-06_final
2022-02-06 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2022-02-06_final
2022-02-06 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2022-02-06_final
2022-02-06 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2022-02-06_final
2022-02-06 11:23:22	ga_s2bm_ard_3-2-1_52KCA_2022-02-06_final
2022-02-06 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-02-06_final
2022-02-06 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2022-02-06_final
2022-02-06 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2022-02-06_final
2022-02-06 11:23:33	ga_s2bm_ard_3-2-1_51KYR_2022-02-06_final
2022-02-06 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2022-02-06_final
2022-02-06 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2022-02-06_final
2022-02-06 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2022-02-06_final
2022-02-06 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-02-06_final
2022-02-06 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2022-02-06_final
2022-02-06 11:23:59	ga_s2bm_ard_3-2-1_51KZP_2022-02-06_final
2022-02-06 11:23:59	ga_s2bm_ard_3-2-1_52KBU_2022-02-06_final
2022-02-06 11:24:02	ga_s2bm_ard_3-2-1_51KYP_2022-02-06_final
2022-02-06 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2022-02-06_final
2022-02-06 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2022-02-06_final
2022-02-06 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-02-06_final
2022-02-06 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2022-02-06_final
2022-02-06 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2022-02-06_final
2022-02-06 11:24:27	ga_s2bm_ard_3-2-1_51JZM_2022-02-06_final
2022-02-06 11:24:27	ga_s2bm_ard_3-2-1_52JBS_2022-02-06_final
2022-02-06 11:24:31	ga_s2bm_ard_3-2-1_51JYM_2022-02-06_final
2022-02-06 11:24:38	ga_s2bm_ard_3-2-1_52JBR_2022-02-06_final
2022-02-06 11:24:38	ga_s2bm_ard_3-2-1_51JWM_2022-02-06_final
2022-02-06 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2022-02-06_final
2022-02-06 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2022-02-06_final
2022-02-06 11:25:07	ga_s2bm_ard_3-2-1_51JWK_2022-02-06_final
2022-02-06 11:25:11	ga_s2bm_ard_3-2-1_51JVK_2022-02-06_final
2022-02-06 11:25:25	ga_s2bm_ard_3-2-1_51JVJ_2022-02-06_final
2022-02-06 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2022-02-06_final
2022-02-06 11:26:20	ga_s2bm_ard_3-2-1_51HWE_2022-02-06_final
2022-02-06 11:26:24	ga_s2bm_ard_3-2-1_51HVE_2022-02-06_final
2022-02-06 11:26:30	ga_s2bm_ard_3-2-1_51HXD_2022-02-06_final
2022-02-06 11:26:34	ga_s2bm_ard_3-2-1_51HWD_2022-02-06_final
2022-02-06 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2022-02-06_final
2022-02-06 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2022-02-06_final.stac-item
2022-02-06 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2022-02-06_final
2022-02-06 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2022-02-06_final
2022-02-06 11:27:02	ga_s2bm_ard_3-2-1_51HTC_2022-02-06_final
2022-02-06 11:27:06	ga_s2bm_ard_3-2-1_51HUB_2022-02-06_final.stac-item
2022-02-06 11:27:08	ga_s2bm_ard_3-2-1_51HTB_2022-02-06_final.stac-item
2022-02-07 10:50:15	ga_s2bm_ard_3-2-1_53LPH_2022-02-07_final.stac-item
2022-02-07 10:50:18	ga_s2bm_ard_3-2-1_53LNH_2022-02-07_final.stac-item
2022-02-07 10:50:21	ga_s2bm_ard_3-2-1_53LMH_2022-02-07_final.stac-item
2022-02-07 10:50:29	ga_s2bm_ard_3-2-1_53LPG_2022-02-07_final
2022-02-07 10:50:58	ga_s2bm_ard_3-2-1_53LPE_2022-02-07_final
2022-02-07 10:51:02	ga_s2bm_ard_3-2-1_53LNE_2022-02-07_final
2022-02-07 10:51:05	ga_s2bm_ard_3-2-1_53LME_2022-02-07_final
2022-02-07 10:51:08	ga_s2bm_ard_3-2-1_53LLE_2022-02-07_final
2022-02-07 10:51:13	ga_s2bm_ard_3-2-1_53LPD_2022-02-07_final
2022-02-07 10:51:56	ga_s2bm_ard_3-2-1_53KKB_2022-02-07_final
2022-02-07 10:52:24	ga_s2bm_ard_3-2-1_53KKV_2022-02-07_final
2022-02-07 10:52:25	ga_s2bm_ard_3-2-1_52KHE_2022-02-07_final
2022-02-07 10:52:40	ga_s2bm_ard_3-2-1_53KNT_2022-02-07_final
2022-02-07 10:52:46	ga_s2bm_ard_3-2-1_53KMT_2022-02-07_final
2022-02-07 10:52:50	ga_s2bm_ard_3-2-1_53KLT_2022-02-07_final
2022-02-07 10:52:53	ga_s2bm_ard_3-2-1_53KKT_2022-02-07_final
2022-02-07 10:52:54	ga_s2bm_ard_3-2-1_52KHC_2022-02-07_final
2022-02-07 10:53:01	ga_s2bm_ard_3-2-1_53KMS_2022-02-07_final
2022-02-07 10:53:05	ga_s2bm_ard_3-2-1_53KLS_2022-02-07_final
2022-02-07 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2022-02-07_final
2022-02-07 10:53:08	ga_s2bm_ard_3-2-1_52KHB_2022-02-07_final
2022-02-07 10:53:13	ga_s2bm_ard_3-2-1_53KMR_2022-02-07_final
2022-02-07 10:53:15	ga_s2bm_ard_3-2-1_53KLR_2022-02-07_final
2022-02-07 10:53:17	ga_s2bm_ard_3-2-1_53KKR_2022-02-07_final
2022-02-07 10:53:19	ga_s2bm_ard_3-2-1_52KGA_2022-02-07_final
2022-02-07 10:53:20	ga_s2bm_ard_3-2-1_53KMR_2022-02-07_final
2022-02-07 10:53:22	ga_s2bm_ard_3-2-1_53KLR_2022-02-07_final
2022-02-07 10:53:23	ga_s2bm_ard_3-2-1_53KKR_2022-02-07_final
2022-02-07 10:53:26	ga_s2bm_ard_3-2-1_52KGA_2022-02-07_final
2022-02-07 10:53:30	ga_s2bm_ard_3-2-1_53KMQ_2022-02-07_final
2022-02-07 10:53:34	ga_s2bm_ard_3-2-1_53KLQ_2022-02-07_final
2022-02-07 10:53:37	ga_s2bm_ard_3-2-1_53KKQ_2022-02-07_final
2022-02-07 10:53:40	ga_s2bm_ard_3-2-1_52KGV_2022-02-07_final
2022-02-07 10:53:44	ga_s2bm_ard_3-2-1_53KMP_2022-02-07_final
2022-02-07 10:53:48	ga_s2bm_ard_3-2-1_53KLP_2022-02-07_final
2022-02-07 10:53:51	ga_s2bm_ard_3-2-1_53KKP_2022-02-07_final
2022-02-07 10:53:55	ga_s2bm_ard_3-2-1_52KGU_2022-02-07_final
2022-02-07 10:54:06	ga_s2bm_ard_3-2-1_52JHT_2022-02-07_final
2022-02-07 10:54:06	ga_s2bm_ard_3-2-1_53JKN_2022-02-07_final
2022-02-07 10:54:10	ga_s2bm_ard_3-2-1_52JGT_2022-02-07_final
2022-02-07 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2022-02-07_final
2022-02-07 10:54:21	ga_s2bm_ard_3-2-1_53JKM_2022-02-07_final
2022-02-07 10:54:24	ga_s2bm_ard_3-2-1_52JGS_2022-02-07_final
2022-02-07 10:54:28	ga_s2bm_ard_3-2-1_52JFS_2022-02-07_final
2022-02-07 10:54:32	ga_s2bm_ard_3-2-1_53JLL_2022-02-07_final
2022-02-07 10:54:42	ga_s2bm_ard_3-2-1_52JFR_2022-02-07_final
2022-02-07 10:54:46	ga_s2bm_ard_3-2-1_53JLK_2022-02-07_final
2022-02-07 10:54:50	ga_s2bm_ard_3-2-1_53JKK_2022-02-07_final
2022-02-07 10:54:53	ga_s2bm_ard_3-2-1_52JGQ_2022-02-07_final
2022-02-07 10:55:17	ga_s2bm_ard_3-2-1_52JEP_2022-02-07_final
2022-02-07 10:55:19	ga_s2bm_ard_3-2-1_53JKH_2022-02-07_final
2022-02-07 10:55:22	ga_s2bm_ard_3-2-1_52JGN_2022-02-07_final
2022-02-07 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2022-02-07_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