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
2019-03-04 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2019-03-04_final
2019-03-04 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2019-03-04_final
2019-03-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2019-03-04_final
2019-03-04 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2019-03-04_final
2019-03-04 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2019-03-04_final
2019-03-04 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2019-03-04_final
2019-03-04 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2019-03-04_final
2019-03-04 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JVH_2019-03-04_final
2019-03-04 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2019-03-04_final
2019-03-04 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2019-03-04_final
2019-03-04 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2019-03-04_final
2019-03-04 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2019-03-04_final
2019-03-04 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2019-03-04_final
2019-03-04 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2019-03-04_final
2019-03-04 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-04_final
2019-03-04 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2019-03-04_final
2019-03-04 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2019-03-04_final
2019-03-04 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2019-03-04_final
2019-03-04 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2019-03-04_final
2019-03-04 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2019-03-04_final
2019-03-04 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-04_final.stac-item
2019-03-04 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-04_final
2019-03-04 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2019-03-04_final.stac-item
2019-03-04 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:06	ga_s2bm_ard_3-2-1_51HVB_2019-03-04_final.stac-item
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_final.stac-item
2019-03-04 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HTB_2019-03-04_final.stac-item
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2019-03-04_final.stac-item
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2019-03-04_final.stac-item
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_final.stac-item
2019-03-04 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2019-03-04_final.stac-item
2019-03-05 10:50:18	ga_s2bm_ard_3-2-1_53LPH_2019-03-05_final.stac-item
2019-03-05 10:50:21	ga_s2bm_ard_3-2-1_53LNH_2019-03-05_final.stac-item
2019-03-05 10:50:25	ga_s2bm_ard_3-2-1_53LMH_2019-03-05_final.stac-item
2019-03-05 10:51:16	ga_s2bm_ard_3-2-1_53LPD_2019-03-05_final
2019-03-05 10:51:20	ga_s2bm_ard_3-2-1_53LND_2019-03-05_final
2019-03-05 10:51:23	ga_s2bm_ard_3-2-1_53LMD_2019-03-05_final
2019-03-05 10:51:26	ga_s2bm_ard_3-2-1_53LLD_2019-03-05_final
2019-03-05 10:51:34	ga_s2bm_ard_3-2-1_53LNC_2019-03-05_final
2019-03-05 10:51:37	ga_s2bm_ard_3-2-1_53LMC_2019-03-05_final
2019-03-05 10:51:59	ga_s2bm_ard_3-2-1_53KKB_2019-03-05_final
2019-03-05 10:52:24	ga_s2bm_ard_3-2-1_53KLV_2019-03-05_final
2019-03-05 10:52:43	ga_s2bm_ard_3-2-1_53KNT_2019-03-05_final
2019-03-05 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2019-03-05_final
2019-03-05 10:52:53	ga_s2bm_ard_3-2-1_53KLT_2019-03-05_final
2019-03-05 10:53:04	ga_s2bm_ard_3-2-1_53KMS_2019-03-05_final
2019-03-05 10:53:08	ga_s2bm_ard_3-2-1_53KLS_2019-03-05_final
2019-03-05 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2019-03-05_final
2019-03-05 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2019-03-05_final
2019-03-05 10:53:18	ga_s2bm_ard_3-2-1_52KGB_2019-03-05_final
2019-03-05 10:53:19	ga_s2bm_ard_3-2-1_53KMR_2019-03-05_final
2019-03-05 10:53:23	ga_s2bm_ard_3-2-1_53KLR_2019-03-05_final
2019-03-05 10:53:26	ga_s2bm_ard_3-2-1_53KKR_2019-03-05_final
2019-03-05 10:53:26	ga_s2bm_ard_3-2-1_52KHA_2019-03-05_final
2019-03-05 10:53:30	ga_s2bm_ard_3-2-1_52KGA_2019-03-05_final
2019-03-05 10:53:34	ga_s2bm_ard_3-2-1_53KMQ_2019-03-05_final
2019-03-05 10:53:44	ga_s2bm_ard_3-2-1_52KGV_2019-03-05_final
2019-03-05 10:53:47	ga_s2bm_ard_3-2-1_53KMP_2019-03-05_final
2019-03-05 10:53:51	ga_s2bm_ard_3-2-1_53KLP_2019-03-05_final
2019-03-05 10:53:55	ga_s2bm_ard_3-2-1_52KHU_2019-03-05_final
2019-03-05 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2019-03-05_final
2019-03-05 10:54:06	ga_s2bm_ard_3-2-1_53JLN_2019-03-05_final
2019-03-05 10:54:09	ga_s2bm_ard_3-2-1_52JHT_2019-03-05_final
2019-03-05 10:54:13	ga_s2bm_ard_3-2-1_52JGT_2019-03-05_final
2019-03-05 10:54:19	ga_s2bm_ard_3-2-1_52JFT_2019-03-05_final
2019-03-05 10:54:22	ga_s2bm_ard_3-2-1_52JHS_2019-03-05_final
2019-03-05 10:54:24	ga_s2bm_ard_3-2-1_52JGS_2019-03-05_final
2019-03-05 10:54:27	ga_s2bm_ard_3-2-1_53JLL_2019-03-05_final
2019-03-05 10:54:29	ga_s2bm_ard_3-2-1_52JHS_2019-03-05_final
2019-03-05 10:54:30	ga_s2bm_ard_3-2-1_52JGS_2019-03-05_final
2019-03-05 10:54:35	ga_s2bm_ard_3-2-1_53JLL_2019-03-05_final
2019-03-05 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2019-03-05_final
2019-03-05 10:54:42	ga_s2bm_ard_3-2-1_52JGR_2019-03-05_final
2019-03-05 10:54:45	ga_s2bm_ard_3-2-1_52JFR_2019-03-05_final
2019-03-05 10:54:53	ga_s2bm_ard_3-2-1_53JKK_2019-03-05_final
2019-03-05 10:55:03	ga_s2bm_ard_3-2-1_53JLJ_2019-03-05_final
2019-03-05 10:55:08	ga_s2bm_ard_3-2-1_53JKJ_2019-03-05_final
2019-03-05 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2019-03-05_final
2019-03-05 10:55:13	ga_s2bm_ard_3-2-1_53JLH_2019-03-05_final
2019-03-05 10:55:14	ga_s2bm_ard_3-2-1_52JFP_2019-03-05_final
2019-03-05 10:55:20	ga_s2bm_ard_3-2-1_52JEP_2019-03-05_final
2019-03-05 10:55:22	ga_s2bm_ard_3-2-1_53JKH_2019-03-05_final
2019-03-05 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2019-03-05_final
2019-03-05 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2019-03-05_final
2019-03-05 10:55:32	ga_s2bm_ard_3-2-1_52JEN_2019-03-05_final
2019-03-05 10:55:37	ga_s2bm_ard_3-2-1_53JKG_2019-03-05_final
2019-03-05 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2019-03-05_final
2019-03-05 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2019-03-05_final
2019-03-05 10:55:47	ga_s2bm_ard_3-2-1_52JEM_2019-03-05_final
2019-03-05 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2019-03-05_final
2019-03-05 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2019-03-05_final
2019-03-05 10:55:58	ga_s2bm_ard_3-2-1_52JFL_2019-03-05_final
2019-03-05 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2019-03-05_final
2019-03-05 10:56:06	ga_s2bm_ard_3-2-1_53HKE_2019-03-05_final.stac-item
2019-03-05 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2019-03-05_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