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
2021-11-08 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-11-08_final
2021-11-08 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2021-11-08_final
2021-11-08 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-11-08_final
2021-11-08 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-11-08_final
2021-11-08 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-11-08_final
2021-11-08 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2021-11-08_final
2021-11-08 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-11-08_final
2021-11-08 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-11-08_final
2021-11-08 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2021-11-08_final
2021-11-08 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2021-11-08_final
2021-11-08 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2021-11-08_final
2021-11-08 11:26:00	ga_s2bm_ard_3-2-1_51JVG_2021-11-08_final
2021-11-08 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2021-11-08_final
2021-11-08 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2021-11-08_final
2021-11-08 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2021-11-08_final
2021-11-08 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2021-11-08_final
2021-11-08 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-11-08_final
2021-11-08 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-11-08_final
2021-11-08 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2021-11-08_final
2021-11-08 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-11-08_final
2021-11-08 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-11-08_final
2021-11-08 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-11-08_final.stac-item
2021-11-08 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-11-08_final
2021-11-08 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-11-08_final
2021-11-08 11:27:08	ga_s2bm_ard_3-2-1_51HWB_2021-11-08_final.stac-item
2021-11-09 10:50:35	ga_s2bm_ard_3-2-1_53LPG_2021-11-09_final
2021-11-09 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2021-11-09_final
2021-11-09 10:50:42	ga_s2bm_ard_3-2-1_53LMG_2021-11-09_final
2021-11-09 10:50:47	ga_s2bm_ard_3-2-1_53LLG_2021-11-09_final
2021-11-09 10:50:49	ga_s2bm_ard_3-2-1_53LPF_2021-11-09_final
2021-11-09 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2021-11-09_final
2021-11-09 10:50:56	ga_s2bm_ard_3-2-1_53LMF_2021-11-09_final
2021-11-09 10:50:59	ga_s2bm_ard_3-2-1_53LLF_2021-11-09_final
2021-11-09 10:51:18	ga_s2bm_ard_3-2-1_53LPD_2021-11-09_final
2021-11-09 10:51:22	ga_s2bm_ard_3-2-1_53LND_2021-11-09_final
2021-11-09 10:51:25	ga_s2bm_ard_3-2-1_53LMD_2021-11-09_final
2021-11-09 10:51:28	ga_s2bm_ard_3-2-1_53LLD_2021-11-09_final
2021-11-09 10:51:31	ga_s2bm_ard_3-2-1_53LPC_2021-11-09_final
2021-11-09 10:51:36	ga_s2bm_ard_3-2-1_53LNC_2021-11-09_final
2021-11-09 10:51:40	ga_s2bm_ard_3-2-1_53LMC_2021-11-09_final
2021-11-09 10:51:41	ga_s2bm_ard_3-2-1_53KPB_2021-11-09_final
2021-11-09 10:51:43	ga_s2bm_ard_3-2-1_53LLC_2021-11-09_final
2021-11-09 10:51:51	ga_s2bm_ard_3-2-1_53KNB_2021-11-09_final
2021-11-09 10:51:54	ga_s2bm_ard_3-2-1_53KMB_2021-11-09_final
2021-11-09 10:51:57	ga_s2bm_ard_3-2-1_53KLB_2021-11-09_final
2021-11-09 10:52:01	ga_s2bm_ard_3-2-1_53KKB_2021-11-09_final
2021-11-09 10:52:05	ga_s2bm_ard_3-2-1_53KNA_2021-11-09_final
2021-11-09 10:52:09	ga_s2bm_ard_3-2-1_53KMA_2021-11-09_final
2021-11-09 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2021-11-09_final
2021-11-09 10:52:15	ga_s2bm_ard_3-2-1_53KKA_2021-11-09_final
2021-11-09 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2021-11-09_final
2021-11-09 10:52:20	ga_s2bm_ard_3-2-1_53KNV_2021-11-09_final
2021-11-09 10:52:23	ga_s2bm_ard_3-2-1_53KMV_2021-11-09_final
2021-11-09 10:52:29	ga_s2bm_ard_3-2-1_53KKV_2021-11-09_final
2021-11-09 10:52:31	ga_s2bm_ard_3-2-1_52KHE_2021-11-09_final
2021-11-09 10:52:34	ga_s2bm_ard_3-2-1_53KNU_2021-11-09_final
2021-11-09 10:52:38	ga_s2bm_ard_3-2-1_53KMU_2021-11-09_final
2021-11-09 10:52:41	ga_s2bm_ard_3-2-1_53KLU_2021-11-09_final
2021-11-09 10:52:44	ga_s2bm_ard_3-2-1_53KKU_2021-11-09_final
2021-11-09 10:52:45	ga_s2bm_ard_3-2-1_52KHD_2021-11-09_final
2021-11-09 10:52:56	ga_s2bm_ard_3-2-1_53KLT_2021-11-09_final
2021-11-09 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2021-11-09_final
2021-11-09 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2021-11-09_final
2021-11-09 10:53:07	ga_s2bm_ard_3-2-1_53KMS_2021-11-09_final
2021-11-09 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2021-11-09_final
2021-11-09 10:53:21	ga_s2bm_ard_3-2-1_53KMR_2021-11-09_final
2021-11-09 10:53:25	ga_s2bm_ard_3-2-1_53KLR_2021-11-09_final
2021-11-09 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2021-11-09_final
2021-11-09 10:53:36	ga_s2bm_ard_3-2-1_53KMQ_2021-11-09_final
2021-11-09 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-11-09_final
2021-11-09 10:53:46	ga_s2bm_ard_3-2-1_53KMP_2021-11-09_final
2021-11-09 10:53:50	ga_s2bm_ard_3-2-1_53KKP_2021-11-09_final
2021-11-09 10:53:50	ga_s2bm_ard_3-2-1_52KHU_2021-11-09_final
2021-11-09 10:53:52	ga_s2bm_ard_3-2-1_53KMP_2021-11-09_final
2021-11-09 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2021-11-09_final
2021-11-09 10:53:57	ga_s2bm_ard_3-2-1_52KHU_2021-11-09_final
2021-11-09 10:53:59	ga_s2bm_ard_3-2-1_53JMN_2021-11-09_final
2021-11-09 10:54:08	ga_s2bm_ard_3-2-1_53JLN_2021-11-09_final
2021-11-09 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2021-11-09_final
2021-11-09 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2021-11-09_final
2021-11-09 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2021-11-09_final
2021-11-09 10:54:23	ga_s2bm_ard_3-2-1_53JLM_2021-11-09_final
2021-11-09 10:54:26	ga_s2bm_ard_3-2-1_52JHS_2021-11-09_final
2021-11-09 10:54:33	ga_s2bm_ard_3-2-1_52JFS_2021-11-09_final
2021-11-09 10:54:38	ga_s2bm_ard_3-2-1_53JLL_2021-11-09_final
2021-11-09 10:54:41	ga_s2bm_ard_3-2-1_53JKL_2021-11-09_final
2021-11-09 10:54:44	ga_s2bm_ard_3-2-1_52JGR_2021-11-09_final
2021-11-09 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2021-11-09_final
2021-11-09 10:54:52	ga_s2bm_ard_3-2-1_53JLK_2021-11-09_final
2021-11-09 10:55:02	ga_s2bm_ard_3-2-1_52JFQ_2021-11-09_final
2021-11-09 10:55:10	ga_s2bm_ard_3-2-1_53JKJ_2021-11-09_final
2021-11-09 10:55:15	ga_s2bm_ard_3-2-1_53JLH_2021-11-09_final
2021-11-09 10:55:17	ga_s2bm_ard_3-2-1_52JFP_2021-11-09_final
2021-11-09 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2021-11-09_final
2021-11-09 10:55:34	ga_s2bm_ard_3-2-1_52JEN_2021-11-09_final
2021-11-09 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2021-11-09_final
2021-11-09 10:55:49	ga_s2bm_ard_3-2-1_52JEM_2021-11-09_final
2021-11-09 10:55:54	ga_s2bm_ard_3-2-1_53JKF_2021-11-09_final
2021-11-09 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-11-09_final
2021-11-09 10:56:00	ga_s2bm_ard_3-2-1_52JFL_2021-11-09_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