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
2019-01-09 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2019-01-09_final
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final
2019-01-09 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2019-01-09_final.stac-item
2019-01-09 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2019-01-09_final.stac-item
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-01-10 09:32:58	ga_s2bm_ard_3-2-1_56KLA_2019-01-10_final
2019-01-10 09:33:12	ga_s2bm_ard_3-2-1_56KLV_2019-01-10_final
2019-01-10 09:33:23	ga_s2bm_ard_3-2-1_56KMU_2019-01-10_final
2019-01-10 09:33:49	ga_s2bm_ard_3-2-1_56JNS_2019-01-10_final
2019-01-10 09:33:53	ga_s2bm_ard_3-2-1_56JMS_2019-01-10_final
2019-01-10 09:34:00	ga_s2bm_ard_3-2-1_55JHM_2019-01-10_final
2019-01-10 09:34:00	ga_s2bm_ard_3-2-1_56JKS_2019-01-10_final
2019-01-10 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2019-01-10_final.stac-item
2019-01-10 09:34:07	ga_s2bm_ard_3-2-1_56JMR_2019-01-10_final
2019-01-10 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2019-01-10_final
2019-01-10 09:34:13	ga_s2bm_ard_3-2-1_56JKR_2019-01-10_final
2019-01-10 09:34:28	ga_s2bm_ard_3-2-1_56JKQ_2019-01-10_final
2019-01-10 09:34:39	ga_s2bm_ard_3-2-1_56JLP_2019-01-10_final
2019-01-10 09:34:42	ga_s2bm_ard_3-2-1_56JNN_2019-01-10_final
2019-01-10 09:34:43	ga_s2bm_ard_3-2-1_56JKP_2019-01-10_final
2019-01-10 09:34:49	ga_s2bm_ard_3-2-1_55JGJ_2019-01-10_final
2019-01-10 09:34:50	ga_s2bm_ard_3-2-1_56JMN_2019-01-10_final
2019-01-10 09:35:00	ga_s2bm_ard_3-2-1_55JGH_2019-01-10_final
2019-01-10 09:35:05	ga_s2bm_ard_3-2-1_56JMM_2019-01-10_final
2019-01-10 09:35:12	ga_s2bm_ard_3-2-1_56JKM_2019-01-10_final
2019-01-10 09:35:14	ga_s2bm_ard_3-2-1_55JGG_2019-01-10_final
2019-01-10 09:35:23	ga_s2bm_ard_3-2-1_56JLL_2019-01-10_final
2019-01-10 09:35:34	ga_s2bm_ard_3-2-1_56HMK_2019-01-10_final
2019-01-10 09:35:47	ga_s2bm_ard_3-2-1_56HMJ_2019-01-10_final
2019-01-10 09:36:21	ga_s2bm_ard_3-2-1_56HLG_2019-01-10_final.stac-item
2019-01-10 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-01-10_final
2019-01-10 09:36:26	ga_s2bm_ard_3-2-1_55HGB_2019-01-10_final
2019-01-10 09:36:30	ga_s2bm_ard_3-2-1_55HFB_2019-01-10_final
2019-01-10 09:36:39	ga_s2bm_ard_3-2-1_56HKF_2019-01-10_final
2019-01-10 09:36:41	ga_s2bm_ard_3-2-1_55HGA_2019-01-10_final
2019-01-10 09:36:45	ga_s2bm_ard_3-2-1_55HFA_2019-01-10_final
2019-01-10 09:37:10	ga_s2bm_ard_3-2-1_55HGU_2019-01-10_final.stac-item
2019-01-10 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2019-01-10_final.stac-item
2019-01-10 09:37:17	ga_s2bm_ard_3-2-1_55HEU_2019-01-10_final
2019-01-10 09:37:42	ga_s2bm_ard_3-2-1_55HFS_2019-01-10_final.stac-item
2019-01-10 09:37:46	ga_s2bm_ard_3-2-1_55HES_2019-01-10_final
2019-01-10 09:37:50	ga_s2bm_ard_3-2-1_55HDS_2019-01-10_final
2019-01-10 09:38:25	ga_s2bm_ard_3-2-1_55GFP_2019-01-10_final
2019-01-10 09:38:30	ga_s2bm_ard_3-2-1_55GEP_2019-01-10_final
2019-01-10 09:38:33	ga_s2bm_ard_3-2-1_55GDP_2019-01-10_final
2019-01-10 09:38:39	ga_s2bm_ard_3-2-1_55GCP_2019-01-10_final
2019-01-10 09:38:40	ga_s2bm_ard_3-2-1_55GFN_2019-01-10_final
2019-01-10 09:38:44	ga_s2bm_ard_3-2-1_55GEN_2019-01-10_final
2019-01-10 09:38:48	ga_s2bm_ard_3-2-1_55GDN_2019-01-10_final
2019-01-10 09:38:51	ga_s2bm_ard_3-2-1_55GCN_2019-01-10_final
2019-01-10 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2019-01-10_final.stac-item
2019-01-10 09:39:01	ga_s2bm_ard_3-2-1_55GDM_2019-01-10_final.stac-item
2019-01-10 09:39:03	ga_s2bm_ard_3-2-1_55GCM_2019-01-10_final.stac-item
2019-01-10 11:10:03	ga_s2bm_ard_3-2-1_53LKJ_2019-01-10_final.stac-item
2019-01-10 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2019-01-10_final.stac-item
2019-01-10 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2019-01-10_final
2019-01-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2019-01-10_final
2019-01-10 11:10:46	ga_s2bm_ard_3-2-1_52LFM_2019-01-10_final.stac-item
2019-01-10 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2019-01-10_final
2019-01-10 11:11:07	ga_s2bm_ard_3-2-1_52LFK_2019-01-10_final
2019-01-10 11:11:12	ga_s2bm_ard_3-2-1_52LGK_2019-01-10_final
2019-01-10 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2019-01-10_final
2019-01-10 11:11:18	ga_s2bm_ard_3-2-1_52LEK_2019-01-10_final.stac-item
2019-01-10 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2019-01-10_final
2019-01-10 11:11:44	ga_s2bm_ard_3-2-1_52LFH_2019-01-10_final
2019-01-10 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2019-01-10_final
2019-01-10 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2019-01-10_final
2019-01-10 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2019-01-10_final
2019-01-10 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2019-01-10_final
2019-01-10 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2019-01-10_final
2019-01-10 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2019-01-10_final
2019-01-10 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2019-01-10_final
2019-01-10 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2019-01-10_final
2019-01-10 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2019-01-10_final
2019-01-10 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2019-01-10_final
2019-01-10 11:13:56	ga_s2bm_ard_3-2-1_52KEU_2019-01-10_final
2019-01-10 11:14:01	ga_s2bm_ard_3-2-1_52KDU_2019-01-10_final
2019-01-10 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2019-01-10_final
2019-01-10 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2019-01-10_final
2019-01-10 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2019-01-10_final
2019-01-10 11:14:40	ga_s2bm_ard_3-2-1_51JYM_2019-01-10_final
2019-01-10 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2019-01-10_final
2019-01-10 11:14:48	ga_s2bm_ard_3-2-1_52JCR_2019-01-10_final
2019-01-10 11:14:51	ga_s2bm_ard_3-2-1_52JBR_2019-01-10_final
2019-01-10 11:14:54	ga_s2bm_ard_3-2-1_51JYL_2019-01-10_final
2019-01-10 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2019-01-10_final
2019-01-10 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2019-01-10_final
2019-01-10 11:15:17	ga_s2bm_ard_3-2-1_52JCP_2019-01-10_final
2019-01-10 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2019-01-10_final
2019-01-10 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2019-01-10_final
2019-01-10 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2019-01-10_final
2019-01-10 11:15:35	ga_s2bm_ard_3-2-1_52JBN_2019-01-10_final
2019-01-10 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2019-01-10_final
2019-01-10 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2019-01-10_final
2019-01-10 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2019-01-10_final
2019-01-10 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2019-01-10_final
2019-01-10 11:16:29	ga_s2bm_ard_3-2-1_51HWE_2019-01-10_final
2019-01-10 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2019-01-10_final
2019-01-10 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2019-01-10_final
2019-01-10 11:17:05	ga_s2bm_ard_3-2-1_51HXB_2019-01-10_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