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
2022-07-06 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2022-07-06_final
2022-07-06 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2022-07-06_final
2022-07-06 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2022-07-06_final
2022-07-06 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-07-06_final
2022-07-06 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2022-07-06_final
2022-07-06 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-07-06_final
2022-07-06 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2022-07-06_final.stac-item
2022-07-06 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-07-06_final.stac-item
2022-07-06 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2022-07-06_final
2022-07-06 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2022-07-06_final
2022-07-06 11:27:13	ga_s2bm_ard_3-2-1_51HWB_2022-07-06_final.stac-item
2022-07-06 11:27:15	ga_s2bm_ard_3-2-1_51HVB_2022-07-06_final.stac-item
2022-07-06 11:27:19	ga_s2bm_ard_3-2-1_51HTB_2022-07-06_final.stac-item
2022-07-07 10:50:25	ga_s2bm_ard_3-2-1_53LPH_2022-07-07_final.stac-item
2022-07-07 10:50:43	ga_s2bm_ard_3-2-1_53LNG_2022-07-07_final
2022-07-07 10:50:46	ga_s2bm_ard_3-2-1_53LMG_2022-07-07_final
2022-07-07 10:50:54	ga_s2bm_ard_3-2-1_53LPF_2022-07-07_final
2022-07-07 10:50:58	ga_s2bm_ard_3-2-1_53LNF_2022-07-07_final
2022-07-07 10:51:01	ga_s2bm_ard_3-2-1_53LMF_2022-07-07_final
2022-07-07 10:51:04	ga_s2bm_ard_3-2-1_53LLF_2022-07-07_final
2022-07-07 10:51:09	ga_s2bm_ard_3-2-1_53LPE_2022-07-07_final
2022-07-07 10:51:12	ga_s2bm_ard_3-2-1_53LNE_2022-07-07_final
2022-07-07 10:51:15	ga_s2bm_ard_3-2-1_53LME_2022-07-07_final
2022-07-07 10:51:18	ga_s2bm_ard_3-2-1_53LLE_2022-07-07_final
2022-07-07 10:51:23	ga_s2bm_ard_3-2-1_53LPD_2022-07-07_final
2022-07-07 10:51:27	ga_s2bm_ard_3-2-1_53LND_2022-07-07_final
2022-07-07 10:51:30	ga_s2bm_ard_3-2-1_53LMD_2022-07-07_final
2022-07-07 10:51:33	ga_s2bm_ard_3-2-1_53LLD_2022-07-07_final
2022-07-07 10:51:35	ga_s2bm_ard_3-2-1_53LPC_2022-07-07_final
2022-07-07 10:51:38	ga_s2bm_ard_3-2-1_53LNC_2022-07-07_final
2022-07-07 10:51:39	ga_s2bm_ard_3-2-1_53LMC_2022-07-07_final
2022-07-07 10:51:40	ga_s2bm_ard_3-2-1_53LLD_2022-07-07_final
2022-07-07 10:51:41	ga_s2bm_ard_3-2-1_53LLC_2022-07-07_final
2022-07-07 10:51:41	ga_s2bm_ard_3-2-1_53LPC_2022-07-07_final
2022-07-07 10:51:44	ga_s2bm_ard_3-2-1_53LNC_2022-07-07_final
2022-07-07 10:51:46	ga_s2bm_ard_3-2-1_53KPB_2022-07-07_final
2022-07-07 10:51:46	ga_s2bm_ard_3-2-1_53LMC_2022-07-07_final
2022-07-07 10:51:48	ga_s2bm_ard_3-2-1_53LLC_2022-07-07_final
2022-07-07 10:51:56	ga_s2bm_ard_3-2-1_53KNB_2022-07-07_final
2022-07-07 10:51:59	ga_s2bm_ard_3-2-1_53KMB_2022-07-07_final
2022-07-07 10:52:02	ga_s2bm_ard_3-2-1_53KLB_2022-07-07_final
2022-07-07 10:52:06	ga_s2bm_ard_3-2-1_53KKB_2022-07-07_final
2022-07-07 10:52:10	ga_s2bm_ard_3-2-1_53KNA_2022-07-07_final
2022-07-07 10:52:14	ga_s2bm_ard_3-2-1_53KMA_2022-07-07_final
2022-07-07 10:52:17	ga_s2bm_ard_3-2-1_53KLA_2022-07-07_final
2022-07-07 10:52:20	ga_s2bm_ard_3-2-1_53KKA_2022-07-07_final
2022-07-07 10:52:24	ga_s2bm_ard_3-2-1_52KHF_2022-07-07_final
2022-07-07 10:52:25	ga_s2bm_ard_3-2-1_53KNV_2022-07-07_final
2022-07-07 10:52:28	ga_s2bm_ard_3-2-1_53KMV_2022-07-07_final
2022-07-07 10:52:32	ga_s2bm_ard_3-2-1_53KLV_2022-07-07_final
2022-07-07 10:52:34	ga_s2bm_ard_3-2-1_53KKV_2022-07-07_final
2022-07-07 10:52:36	ga_s2bm_ard_3-2-1_52KHE_2022-07-07_final
2022-07-07 10:52:38	ga_s2bm_ard_3-2-1_53KNU_2022-07-07_final
2022-07-07 10:52:43	ga_s2bm_ard_3-2-1_53KMU_2022-07-07_final
2022-07-07 10:52:46	ga_s2bm_ard_3-2-1_53KLU_2022-07-07_final
2022-07-07 10:52:49	ga_s2bm_ard_3-2-1_53KKU_2022-07-07_final
2022-07-07 10:52:50	ga_s2bm_ard_3-2-1_52KHD_2022-07-07_final
2022-07-07 10:52:50	ga_s2bm_ard_3-2-1_53KNT_2022-07-07_final
2022-07-07 10:53:01	ga_s2bm_ard_3-2-1_53KLT_2022-07-07_final
2022-07-07 10:53:04	ga_s2bm_ard_3-2-1_53KKT_2022-07-07_final
2022-07-07 10:53:04	ga_s2bm_ard_3-2-1_52KHC_2022-07-07_final
2022-07-07 10:53:12	ga_s2bm_ard_3-2-1_53KMS_2022-07-07_final
2022-07-07 10:53:15	ga_s2bm_ard_3-2-1_53KLS_2022-07-07_final
2022-07-07 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-07_final
2022-07-07 10:53:26	ga_s2bm_ard_3-2-1_53KMR_2022-07-07_final
2022-07-07 10:53:30	ga_s2bm_ard_3-2-1_53KLR_2022-07-07_final
2022-07-07 10:53:33	ga_s2bm_ard_3-2-1_53KKR_2022-07-07_final
2022-07-07 10:53:33	ga_s2bm_ard_3-2-1_52KHA_2022-07-07_final
2022-07-07 10:53:37	ga_s2bm_ard_3-2-1_52KGA_2022-07-07_final
2022-07-07 10:53:41	ga_s2bm_ard_3-2-1_53KMQ_2022-07-07_final
2022-07-07 10:53:48	ga_s2bm_ard_3-2-1_53KKQ_2022-07-07_final
2022-07-07 10:53:48	ga_s2bm_ard_3-2-1_52KHV_2022-07-07_final
2022-07-07 10:53:51	ga_s2bm_ard_3-2-1_52KGV_2022-07-07_final
2022-07-07 10:53:54	ga_s2bm_ard_3-2-1_53KMP_2022-07-07_final
2022-07-07 10:53:59	ga_s2bm_ard_3-2-1_53KLP_2022-07-07_final
2022-07-07 10:54:02	ga_s2bm_ard_3-2-1_53KKP_2022-07-07_final
2022-07-07 10:54:02	ga_s2bm_ard_3-2-1_52KHU_2022-07-07_final
2022-07-07 10:54:04	ga_s2bm_ard_3-2-1_53JMN_2022-07-07_final
2022-07-07 10:54:06	ga_s2bm_ard_3-2-1_52KGU_2022-07-07_final
2022-07-07 10:54:13	ga_s2bm_ard_3-2-1_53JLN_2022-07-07_final
2022-07-07 10:54:15	ga_s2bm_ard_3-2-1_52JHT_2022-07-07_final
2022-07-07 10:54:15	ga_s2bm_ard_3-2-1_53JKN_2022-07-07_final
2022-07-07 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2022-07-07_final
2022-07-07 10:54:20	ga_s2bm_ard_3-2-1_53JLM_2022-07-07_final
2022-07-07 10:54:20	ga_s2bm_ard_3-2-1_53JLN_2022-07-07_final
2022-07-07 10:54:21	ga_s2bm_ard_3-2-1_52JHT_2022-07-07_final
2022-07-07 10:54:21	ga_s2bm_ard_3-2-1_53JKN_2022-07-07_final
2022-07-07 10:54:23	ga_s2bm_ard_3-2-1_52JGT_2022-07-07_final
2022-07-07 10:54:26	ga_s2bm_ard_3-2-1_52JFT_2022-07-07_final
2022-07-07 10:54:28	ga_s2bm_ard_3-2-1_53JLM_2022-07-07_final
2022-07-07 10:54:31	ga_s2bm_ard_3-2-1_52JHS_2022-07-07_final
2022-07-07 10:54:31	ga_s2bm_ard_3-2-1_53JKM_2022-07-07_final
2022-07-07 10:54:34	ga_s2bm_ard_3-2-1_52JGS_2022-07-07_final
2022-07-07 10:54:38	ga_s2bm_ard_3-2-1_52JFS_2022-07-07_final
2022-07-07 10:54:43	ga_s2bm_ard_3-2-1_53JLL_2022-07-07_final
2022-07-07 10:54:46	ga_s2bm_ard_3-2-1_53JKL_2022-07-07_final
2022-07-07 10:54:49	ga_s2bm_ard_3-2-1_52JGR_2022-07-07_final
2022-07-07 10:55:27	ga_s2bm_ard_3-2-1_52JEP_2022-07-07_final
2022-07-07 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2022-07-07_final
2022-07-07 10:55:51	ga_s2bm_ard_3-2-1_52JFM_2022-07-07_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