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
2018-12-13 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2018-12-13_final
2018-12-13 11:54:05	ga_s2bm_ard_3-2-1_50KMV_2018-12-13_final
2018-12-13 11:54:16	ga_s2bm_ard_3-2-1_50KNU_2018-12-13_final
2018-12-13 11:54:19	ga_s2bm_ard_3-2-1_50KMU_2018-12-13_final
2018-12-13 11:54:59	ga_s2bm_ard_3-2-1_50JNR_2018-12-13_final
2018-12-13 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2018-12-13_final
2018-12-13 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2018-12-13_final
2018-12-13 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2018-12-13_final
2018-12-13 11:55:40	ga_s2bm_ard_3-2-1_50JKP_2018-12-13_final
2018-12-13 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2018-12-13_final
2018-12-13 11:55:46	ga_s2bm_ard_3-2-1_50JMN_2018-12-13_final
2018-12-13 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2018-12-13_final
2018-12-13 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2018-12-13_final
2018-12-13 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2018-12-13_final
2018-12-13 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2018-12-13_final
2018-12-13 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2018-12-13_final
2018-12-13 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-12-13_final
2018-12-13 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2018-12-13_final
2018-12-13 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2018-12-13_final
2018-12-13 11:57:16	ga_s2bm_ard_3-2-1_50HLG_2018-12-13_final.stac-item
2018-12-14 09:41:17	ga_s2bm_ard_3-2-1_56KMG_2018-12-14_final.stac-item
2018-12-14 09:41:46	ga_s2bm_ard_3-2-1_56KME_2018-12-14_final.stac-item
2018-12-14 09:41:50	ga_s2bm_ard_3-2-1_56KLE_2018-12-14_final
2018-12-14 09:42:01	ga_s2bm_ard_3-2-1_56KMD_2018-12-14_final.stac-item
2018-12-14 09:42:04	ga_s2bm_ard_3-2-1_56KLD_2018-12-14_final
2018-12-14 09:44:04	ga_s2bm_ard_3-2-1_56JKR_2018-12-14_final
2018-12-14 09:44:10	ga_s2bm_ard_3-2-1_56JLQ_2018-12-14_final
2018-12-14 09:44:18	ga_s2bm_ard_3-2-1_56JKQ_2018-12-14_final
2018-12-14 09:44:18	ga_s2bm_ard_3-2-1_55JEL_2018-12-14_final
2018-12-14 09:44:22	ga_s2bm_ard_3-2-1_55JGK_2018-12-14_final
2018-12-14 09:44:25	ga_s2bm_ard_3-2-1_55JFK_2018-12-14_final
2018-12-14 09:44:33	ga_s2bm_ard_3-2-1_56JKP_2018-12-14_final
2018-12-14 09:44:36	ga_s2bm_ard_3-2-1_55JGJ_2018-12-14_final
2018-12-14 09:44:54	ga_s2bm_ard_3-2-1_55JFH_2018-12-14_final
2018-12-14 09:44:58	ga_s2bm_ard_3-2-1_55JEH_2018-12-14_final
2018-12-14 09:45:02	ga_s2bm_ard_3-2-1_56JKM_2018-12-14_final
2018-12-14 09:45:05	ga_s2bm_ard_3-2-1_55JGG_2018-12-14_final
2018-12-14 09:45:09	ga_s2bm_ard_3-2-1_55JFG_2018-12-14_final
2018-12-14 09:45:12	ga_s2bm_ard_3-2-1_55JEG_2018-12-14_final
2018-12-14 09:45:15	ga_s2bm_ard_3-2-1_56JKL_2018-12-14_final
2018-12-14 09:45:19	ga_s2bm_ard_3-2-1_55JGF_2018-12-14_final
2018-12-14 09:45:23	ga_s2bm_ard_3-2-1_55JFF_2018-12-14_final
2018-12-14 09:45:26	ga_s2bm_ard_3-2-1_56HKK_2018-12-14_final
2018-12-14 09:45:34	ga_s2bm_ard_3-2-1_55HGE_2018-12-14_final
2018-12-14 09:45:38	ga_s2bm_ard_3-2-1_55HFE_2018-12-14_final
2018-12-14 09:45:41	ga_s2bm_ard_3-2-1_55HEE_2018-12-14_final
2018-12-14 09:45:44	ga_s2bm_ard_3-2-1_55HDE_2018-12-14_final
2018-12-14 09:46:06	ga_s2bm_ard_3-2-1_55HFC_2018-12-14_final
2018-12-14 09:46:21	ga_s2bm_ard_3-2-1_55HFB_2018-12-14_final
2018-12-14 09:46:21	ga_s2bm_ard_3-2-1_55HCC_2018-12-14_final
2018-12-14 09:46:32	ga_s2bm_ard_3-2-1_55HCB_2018-12-14_final
2018-12-14 09:47:03	ga_s2bm_ard_3-2-1_55HFU_2018-12-14_final.stac-item
2018-12-14 09:47:08	ga_s2bm_ard_3-2-1_55HEU_2018-12-14_final
2018-12-14 09:47:12	ga_s2bm_ard_3-2-1_55HDU_2018-12-14_final
2018-12-14 09:47:13	ga_s2bm_ard_3-2-1_55HFT_2018-12-14_final.stac-item
2018-12-14 09:47:15	ga_s2bm_ard_3-2-1_55HCU_2018-12-14_final
2018-12-14 09:47:22	ga_s2bm_ard_3-2-1_55HET_2018-12-14_final
2018-12-14 09:47:23	ga_s2bm_ard_3-2-1_55HBU_2018-12-14_final
2018-12-14 09:47:30	ga_s2bm_ard_3-2-1_55HCT_2018-12-14_final
2018-12-14 09:47:34	ga_s2bm_ard_3-2-1_55HBT_2018-12-14_final
2018-12-14 09:47:38	ga_s2bm_ard_3-2-1_54HYC_2018-12-14_final
2018-12-14 11:21:11	ga_s2bm_ard_3-2-1_52LBK_2018-12-14_final
2018-12-14 11:21:11	ga_s2bm_ard_3-2-1_51LZE_2018-12-14_final
2018-12-14 11:21:18	ga_s2bm_ard_3-2-1_52LBK_2018-12-14_final
2018-12-14 11:21:19	ga_s2bm_ard_3-2-1_51LZE_2018-12-14_final
2018-12-14 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2018-12-14_final
2018-12-14 11:21:40	ga_s2bm_ard_3-2-1_52LDH_2018-12-14_final
2018-12-14 11:21:44	ga_s2bm_ard_3-2-1_52LCH_2018-12-14_final
2018-12-14 11:21:47	ga_s2bm_ard_3-2-1_52LBH_2018-12-14_final
2018-12-14 11:21:48	ga_s2bm_ard_3-2-1_51LZC_2018-12-14_final
2018-12-14 11:21:52	ga_s2bm_ard_3-2-1_51LYC_2018-12-14_final
2018-12-14 11:21:54	ga_s2bm_ard_3-2-1_52KDG_2018-12-14_final
2018-12-14 11:22:27	ga_s2bm_ard_3-2-1_52KCE_2018-12-14_final
2018-12-14 11:22:42	ga_s2bm_ard_3-2-1_52KCD_2018-12-14_final
2018-12-14 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2018-12-14_final
2018-12-14 11:23:55	ga_s2bm_ard_3-2-1_51KWQ_2018-12-14_final
2018-12-14 11:24:08	ga_s2bm_ard_3-2-1_51KWP_2018-12-14_final
2018-12-14 11:24:37	ga_s2bm_ard_3-2-1_52JBR_2018-12-14_final
2018-12-14 11:24:45	ga_s2bm_ard_3-2-1_51JYL_2018-12-14_final
2018-12-14 11:24:52	ga_s2bm_ard_3-2-1_51JWL_2018-12-14_final
2018-12-14 11:24:57	ga_s2bm_ard_3-2-1_51JVL_2018-12-14_final
2018-12-14 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2018-12-14_final
2018-12-14 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2018-12-14_final
2018-12-14 11:25:14	ga_s2bm_ard_3-2-1_51JYJ_2018-12-14_final
2018-12-14 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2018-12-14_final
2018-12-14 11:25:36	ga_s2bm_ard_3-2-1_51JWH_2018-12-14_final
2018-12-14 11:25:38	ga_s2bm_ard_3-2-1_51JYG_2018-12-14_final
2018-12-14 11:25:39	ga_s2bm_ard_3-2-1_51JVH_2018-12-14_final
2018-12-14 11:25:46	ga_s2bm_ard_3-2-1_51JXG_2018-12-14_final
2018-12-14 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2018-12-14_final
2018-12-14 11:26:01	ga_s2bm_ard_3-2-1_51JXF_2018-12-14_final
2018-12-14 11:26:11	ga_s2bm_ard_3-2-1_51JUF_2018-12-14_final
2018-12-14 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2018-12-14_final
2018-12-14 11:26:19	ga_s2bm_ard_3-2-1_51HWE_2018-12-14_final
2018-12-14 11:26:23	ga_s2bm_ard_3-2-1_51HVE_2018-12-14_final
2018-12-14 11:26:26	ga_s2bm_ard_3-2-1_51HUE_2018-12-14_final
2018-12-14 11:26:29	ga_s2bm_ard_3-2-1_51HXD_2018-12-14_final
2018-12-14 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2018-12-14_final
2018-12-14 11:27:02	ga_s2bm_ard_3-2-1_51HWB_2018-12-14_final.stac-item
2018-12-14 11:27:04	ga_s2bm_ard_3-2-1_51HVB_2018-12-14_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