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
2019-10-26 10:05:13	ga_s2bm_ard_3-2-1_54JXN_2019-10-26_final
2019-10-26 10:05:17	ga_s2bm_ard_3-2-1_55JCG_2019-10-26_final
2019-10-26 10:05:21	ga_s2bm_ard_3-2-1_55JBG_2019-10-26_final
2019-10-26 10:05:24	ga_s2bm_ard_3-2-1_54JYM_2019-10-26_final
2019-10-26 10:05:28	ga_s2bm_ard_3-2-1_54JXM_2019-10-26_final
2019-10-26 10:05:30	ga_s2bm_ard_3-2-1_55JCF_2019-10-26_final
2019-10-26 10:05:36	ga_s2bm_ard_3-2-1_55JBF_2019-10-26_final
2019-10-26 10:05:38	ga_s2bm_ard_3-2-1_54JYL_2019-10-26_final
2019-10-26 10:05:40	ga_s2bm_ard_3-2-1_55HCE_2019-10-26_final
2019-10-26 10:05:42	ga_s2bm_ard_3-2-1_54JXL_2019-10-26_final
2019-10-26 10:05:50	ga_s2bm_ard_3-2-1_55HBE_2019-10-26_final
2019-10-26 10:05:53	ga_s2bm_ard_3-2-1_54HYK_2019-10-26_final
2019-10-26 10:05:56	ga_s2bm_ard_3-2-1_54HXK_2019-10-26_final
2019-10-26 10:06:05	ga_s2bm_ard_3-2-1_55HBD_2019-10-26_final
2019-10-26 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2019-10-26_final
2019-10-26 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2019-10-26_final
2019-10-26 10:06:15	ga_s2bm_ard_3-2-1_54HWJ_2019-10-26_final
2019-10-26 10:06:20	ga_s2bm_ard_3-2-1_55HBC_2019-10-26_final
2019-10-26 10:06:21	ga_s2bm_ard_3-2-1_54HYH_2019-10-26_final
2019-10-26 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2019-10-26_final
2019-10-26 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2019-10-26_final
2019-10-26 10:06:35	ga_s2bm_ard_3-2-1_54HVH_2019-10-26_final
2019-10-26 10:06:40	ga_s2bm_ard_3-2-1_54HXG_2019-10-26_final
2019-10-26 10:06:58	ga_s2bm_ard_3-2-1_54HWF_2019-10-26_final
2019-10-26 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2019-10-26_final
2019-10-26 10:07:23	ga_s2bm_ard_3-2-1_54HXD_2019-10-26_final
2019-10-26 10:07:27	ga_s2bm_ard_3-2-1_54HWD_2019-10-26_final
2019-10-26 10:07:31	ga_s2bm_ard_3-2-1_54HVD_2019-10-26_final
2019-10-26 10:07:36	ga_s2bm_ard_3-2-1_54HUD_2019-10-26_final.stac-item
2019-10-26 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2019-10-26_final
2019-10-26 10:07:41	ga_s2bm_ard_3-2-1_54HWC_2019-10-26_final
2019-10-26 10:07:45	ga_s2bm_ard_3-2-1_54HVC_2019-10-26_final.stac-item
2019-10-26 11:45:01	ga_s2bm_ard_3-2-1_51JTL_2019-10-26_final
2019-10-26 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2019-10-26_final
2019-10-26 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2019-10-26_final
2019-10-26 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2019-10-26_final
2019-10-26 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2019-10-26_final
2019-10-26 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2019-10-26_final
2019-10-26 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2019-10-26_final
2019-10-26 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2019-10-26_final
2019-10-26 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2019-10-26_final
2019-10-26 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2019-10-26_final
2019-10-26 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2019-10-26_final
2019-10-26 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2019-10-26_final
2019-10-26 11:46:09	ga_s2bm_ard_3-2-1_51JTF_2019-10-26_final
2019-10-26 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2019-10-26_final
2019-10-26 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2019-10-26_final
2019-10-26 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2019-10-26_final
2019-10-26 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-26_final
2019-10-26 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2019-10-26_final
2019-10-26 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-10-26_final
2019-10-26 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-26_final
2019-10-26 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-26_final
2019-10-26 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-10-26_final
2019-10-26 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-10-26_final
2019-10-26 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2019-10-26_final
2019-10-26 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-10-26_final
2019-10-26 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2019-10-26_final
2019-10-26 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-26_final
2019-10-27 09:34:15	ga_s2bm_ard_3-2-1_56JKR_2019-10-27_final
2019-10-27 09:34:27	ga_s2bm_ard_3-2-1_56JLQ_2019-10-27_final
2019-10-27 09:34:30	ga_s2bm_ard_3-2-1_56JKQ_2019-10-27_final
2019-10-27 09:34:45	ga_s2bm_ard_3-2-1_56JKP_2019-10-27_final
2019-10-27 09:34:45	ga_s2bm_ard_3-2-1_56JNN_2019-10-27_final
2019-10-27 09:34:51	ga_s2bm_ard_3-2-1_55JGJ_2019-10-27_final
2019-10-27 09:34:52	ga_s2bm_ard_3-2-1_56JMN_2019-10-27_final
2019-10-27 09:34:56	ga_s2bm_ard_3-2-1_56JLN_2019-10-27_final
2019-10-27 09:35:14	ga_s2bm_ard_3-2-1_56JKM_2019-10-27_final
2019-10-27 09:35:16	ga_s2bm_ard_3-2-1_55JGG_2019-10-27_final
2019-10-27 09:35:28	ga_s2bm_ard_3-2-1_56JKL_2019-10-27_final
2019-10-27 09:35:31	ga_s2bm_ard_3-2-1_55JGF_2019-10-27_final
2019-10-27 09:35:40	ga_s2bm_ard_3-2-1_56HLK_2019-10-27_final
2019-10-27 09:35:43	ga_s2bm_ard_3-2-1_56HKK_2019-10-27_final
2019-10-27 09:35:45	ga_s2bm_ard_3-2-1_55HGE_2019-10-27_final
2019-10-27 09:35:49	ga_s2bm_ard_3-2-1_56HMJ_2019-10-27_final
2019-10-27 09:35:51	ga_s2bm_ard_3-2-1_55HFE_2019-10-27_final
2019-10-27 09:35:54	ga_s2bm_ard_3-2-1_56HLJ_2019-10-27_final
2019-10-27 09:35:58	ga_s2bm_ard_3-2-1_56HKJ_2019-10-27_final
2019-10-27 09:36:00	ga_s2bm_ard_3-2-1_55HGD_2019-10-27_final
2019-10-27 09:36:03	ga_s2bm_ard_3-2-1_55HFD_2019-10-27_final
2019-10-27 09:36:12	ga_s2bm_ard_3-2-1_56HKH_2019-10-27_final
2019-10-27 09:36:14	ga_s2bm_ard_3-2-1_55HGC_2019-10-27_final
2019-10-27 09:36:18	ga_s2bm_ard_3-2-1_55HFC_2019-10-27_final
2019-10-27 09:36:23	ga_s2bm_ard_3-2-1_56HLG_2019-10-27_final.stac-item
2019-10-27 09:36:32	ga_s2bm_ard_3-2-1_55HFB_2019-10-27_final
2019-10-27 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2019-10-27_final
2019-10-27 09:37:16	ga_s2bm_ard_3-2-1_55HFU_2019-10-27_final.stac-item
2019-10-27 09:37:19	ga_s2bm_ard_3-2-1_55HEU_2019-10-27_final
2019-10-27 09:37:30	ga_s2bm_ard_3-2-1_55HFT_2019-10-27_final.stac-item
2019-10-27 09:37:34	ga_s2bm_ard_3-2-1_55HET_2019-10-27_final
2019-10-27 09:37:41	ga_s2bm_ard_3-2-1_55HDT_2019-10-27_final
2019-10-27 09:37:44	ga_s2bm_ard_3-2-1_55HFS_2019-10-27_final.stac-item
2019-10-27 09:37:48	ga_s2bm_ard_3-2-1_55HES_2019-10-27_final
2019-10-27 09:37:52	ga_s2bm_ard_3-2-1_55HDS_2019-10-27_final
2019-10-27 09:38:42	ga_s2bm_ard_3-2-1_55GFN_2019-10-27_final
2019-10-27 09:38:46	ga_s2bm_ard_3-2-1_55GEN_2019-10-27_final
2019-10-27 09:38:50	ga_s2bm_ard_3-2-1_55GDN_2019-10-27_final
2019-10-27 09:38:53	ga_s2bm_ard_3-2-1_55GCN_2019-10-27_final
2019-10-27 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-10-27_final.stac-item
2019-10-27 09:39:03	ga_s2bm_ard_3-2-1_55GDM_2019-10-27_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