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
2019-10-11 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2019-10-11_final
2019-10-11 10:51:46	ga_s2bm_ard_3-2-1_53KNB_2019-10-11_final
2019-10-11 10:51:48	ga_s2bm_ard_3-2-1_53LMC_2019-10-11_final
2019-10-11 10:51:48	ga_s2bm_ard_3-2-1_53KMB_2019-10-11_final
2019-10-11 10:51:49	ga_s2bm_ard_3-2-1_53LLC_2019-10-11_final
2019-10-11 10:51:53	ga_s2bm_ard_3-2-1_53KNB_2019-10-11_final
2019-10-11 10:51:55	ga_s2bm_ard_3-2-1_53KMB_2019-10-11_final
2019-10-11 10:52:03	ga_s2bm_ard_3-2-1_53KKB_2019-10-11_final
2019-10-11 10:52:16	ga_s2bm_ard_3-2-1_53KKA_2019-10-11_final
2019-10-11 10:52:21	ga_s2bm_ard_3-2-1_52KHF_2019-10-11_final
2019-10-11 10:52:24	ga_s2bm_ard_3-2-1_53KMV_2019-10-11_final
2019-10-11 10:52:31	ga_s2bm_ard_3-2-1_53KKV_2019-10-11_final
2019-10-11 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2019-10-11_final
2019-10-11 10:52:39	ga_s2bm_ard_3-2-1_53KMU_2019-10-11_final
2019-10-11 10:52:46	ga_s2bm_ard_3-2-1_52KHD_2019-10-11_final
2019-10-11 10:53:14	ga_s2bm_ard_3-2-1_53KKS_2019-10-11_final
2019-10-11 10:53:22	ga_s2bm_ard_3-2-1_52KGB_2019-10-11_final
2019-10-11 10:53:41	ga_s2bm_ard_3-2-1_53KLQ_2019-10-11_final
2019-10-11 10:53:44	ga_s2bm_ard_3-2-1_53KKQ_2019-10-11_final
2019-10-11 10:54:01	ga_s2bm_ard_3-2-1_53JMN_2019-10-11_final
2019-10-11 10:54:02	ga_s2bm_ard_3-2-1_52KGU_2019-10-11_final
2019-10-11 10:54:13	ga_s2bm_ard_3-2-1_53JKN_2019-10-11_final
2019-10-11 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2019-10-11_final
2019-10-11 10:54:22	ga_s2bm_ard_3-2-1_52JFT_2019-10-11_final
2019-10-11 10:54:24	ga_s2bm_ard_3-2-1_53JLM_2019-10-11_final
2019-10-11 10:54:27	ga_s2bm_ard_3-2-1_53JKM_2019-10-11_final
2019-10-11 10:54:34	ga_s2bm_ard_3-2-1_52JFS_2019-10-11_final
2019-10-11 10:54:39	ga_s2bm_ard_3-2-1_53JLL_2019-10-11_final
2019-10-11 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2019-10-11_final
2019-10-11 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2019-10-11_final
2019-10-11 10:54:57	ga_s2bm_ard_3-2-1_53JKK_2019-10-11_final
2019-10-11 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2019-10-11_final
2019-10-11 10:55:16	ga_s2bm_ard_3-2-1_53JLH_2019-10-11_final
2019-10-11 10:55:18	ga_s2bm_ard_3-2-1_52JFP_2019-10-11_final
2019-10-11 10:55:25	ga_s2bm_ard_3-2-1_53JKH_2019-10-11_final
2019-10-11 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2019-10-11_final
2019-10-11 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2019-10-11_final
2019-10-11 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2019-10-11_final
2019-10-11 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2019-10-11_final
2019-10-11 10:55:55	ga_s2bm_ard_3-2-1_53JKF_2019-10-11_final
2019-10-11 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2019-10-11_final
2019-10-11 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2019-10-11_final
2019-10-11 10:56:11	ga_s2bm_ard_3-2-1_52HGK_2019-10-11_final.stac-item
2019-10-11 10:56:23	ga_s2bm_ard_3-2-1_52HDK_2019-10-11_final.stac-item
2019-10-12 10:20:37	ga_s2bm_ard_3-2-1_54LZL_2019-10-12_final
2019-10-12 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2019-10-12_final
2019-10-12 10:20:55	ga_s2bm_ard_3-2-1_54LYK_2019-10-12_final
2019-10-12 10:21:27	ga_s2bm_ard_3-2-1_54LXH_2019-10-12_final
2019-10-12 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2019-10-12_final
2019-10-12 10:21:34	ga_s2bm_ard_3-2-1_54LVH_2019-10-12_final
2019-10-12 10:21:38	ga_s2bm_ard_3-2-1_54KYG_2019-10-12_final
2019-10-12 10:21:45	ga_s2bm_ard_3-2-1_54KWG_2019-10-12_final
2019-10-12 10:21:48	ga_s2bm_ard_3-2-1_54KVG_2019-10-12_final
2019-10-12 10:22:17	ga_s2bm_ard_3-2-1_54KVE_2019-10-12_final
2019-10-12 10:22:25	ga_s2bm_ard_3-2-1_54KXD_2019-10-12_final
2019-10-12 10:22:36	ga_s2bm_ard_3-2-1_54KUD_2019-10-12_final
2019-10-12 10:22:58	ga_s2bm_ard_3-2-1_54KWB_2019-10-12_final
2019-10-12 10:23:05	ga_s2bm_ard_3-2-1_54KWB_2019-10-12_final
2019-10-12 10:23:18	ga_s2bm_ard_3-2-1_54KXV_2019-10-12_final
2019-10-12 10:23:33	ga_s2bm_ard_3-2-1_54KUV_2019-10-12_final
2019-10-12 10:23:38	ga_s2bm_ard_3-2-1_54KTV_2019-10-12_final
2019-10-12 10:23:41	ga_s2bm_ard_3-2-1_53KRQ_2019-10-12_final
2019-10-12 10:23:59	ga_s2bm_ard_3-2-1_54JVT_2019-10-12_final
2019-10-12 10:24:02	ga_s2bm_ard_3-2-1_54JUT_2019-10-12_final
2019-10-12 10:24:05	ga_s2bm_ard_3-2-1_54JTT_2019-10-12_final
2019-10-12 10:24:17	ga_s2bm_ard_3-2-1_54JUS_2019-10-12_final
2019-10-12 10:24:20	ga_s2bm_ard_3-2-1_54JTS_2019-10-12_final
2019-10-12 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2019-10-12_final
2019-10-12 10:24:28	ga_s2bm_ard_3-2-1_54JVR_2019-10-12_final
2019-10-12 10:24:32	ga_s2bm_ard_3-2-1_54JUR_2019-10-12_final
2019-10-12 10:24:32	ga_s2bm_ard_3-2-1_54JWQ_2019-10-12_final
2019-10-12 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2019-10-12_final
2019-10-12 10:24:42	ga_s2bm_ard_3-2-1_54JVQ_2019-10-12_final
2019-10-12 10:24:49	ga_s2bm_ard_3-2-1_54JTQ_2019-10-12_final
2019-10-12 10:24:52	ga_s2bm_ard_3-2-1_53JQK_2019-10-12_final
2019-10-12 10:25:15	ga_s2bm_ard_3-2-1_54JUN_2019-10-12_final
2019-10-12 10:25:18	ga_s2bm_ard_3-2-1_54JTN_2019-10-12_final
2019-10-12 10:25:21	ga_s2bm_ard_3-2-1_53JQH_2019-10-12_final
2019-10-12 10:25:25	ga_s2bm_ard_3-2-1_54JVM_2019-10-12_final
2019-10-12 10:25:30	ga_s2bm_ard_3-2-1_54JUM_2019-10-12_final
2019-10-12 10:25:33	ga_s2bm_ard_3-2-1_54JTM_2019-10-12_final
2019-10-12 10:25:36	ga_s2bm_ard_3-2-1_53JQG_2019-10-12_final
2019-10-12 10:25:44	ga_s2bm_ard_3-2-1_54JUL_2019-10-12_final
2019-10-12 10:25:48	ga_s2bm_ard_3-2-1_54JTL_2019-10-12_final
2019-10-12 10:25:50	ga_s2bm_ard_3-2-1_53JQF_2019-10-12_final
2019-10-12 10:25:53	ga_s2bm_ard_3-2-1_53JPF_2019-10-12_final
2019-10-12 10:26:14	ga_s2bm_ard_3-2-1_54HUJ_2019-10-12_final
2019-10-12 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2019-10-12_final
2019-10-12 10:26:19	ga_s2bm_ard_3-2-1_53HQD_2019-10-12_final
2019-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2019-10-12_final
2019-10-12 10:26:28	ga_s2bm_ard_3-2-1_54HUH_2019-10-12_final
2019-10-12 10:26:31	ga_s2bm_ard_3-2-1_54HTH_2019-10-12_final
2019-10-12 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2019-10-12_final
2019-10-12 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2019-10-12_final
2019-10-12 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2019-10-12_final
2019-10-12 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2019-10-12_final
2019-10-12 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2019-10-12_final
2019-10-12 10:26:52	ga_s2bm_ard_3-2-1_54HUF_2019-10-12_final
2019-10-12 10:27:00	ga_s2bm_ard_3-2-1_54HTF_2019-10-12_final
2019-10-12 10:27:02	ga_s2bm_ard_3-2-1_53HQA_2019-10-12_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