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
2020-11-02 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-11-02_final
2020-11-09 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-11-09_final
2020-11-19 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2020-11-19_final
2020-11-19 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-11-19_final
2020-12-02 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2020-12-02_final
2020-12-02 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2020-12-02_final
2020-12-02 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-12-02_final
2020-12-02 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-12-02_final
2020-12-03 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2020-12-03_final
2020-12-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2020-12-03_final
2020-12-03 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2020-12-03_final
2020-12-03 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2020-12-03_final
2020-12-05 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2020-12-05_final
2020-12-06 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2020-12-06_final
2020-12-06 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2020-12-06_final
2020-12-06 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2020-12-06_final
2020-12-06 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-12-06_final
2020-12-06 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2020-12-06_final
2020-12-06 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2020-12-06_final
2020-12-06 11:36:34	ga_s2bm_ard_3-2-1_51HUD_2020-12-06_final
2020-12-06 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-12-06_final
2020-12-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2020-12-06_final
2020-12-06 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2020-12-06_final
2020-12-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2020-12-06_final
2020-12-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-12-06_final
2020-12-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2020-12-06_final
2020-12-09 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2020-12-09_final
2020-12-09 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2020-12-09_final
2020-12-09 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-12-09_final
2020-12-09 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2020-12-09_final
2020-12-09 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2020-12-09_final
2020-12-09 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-09_final
2020-12-09 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-12-09_final
2020-12-09 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-12-09_final
2020-12-09 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-09_final
2020-12-09 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final
2020-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final
2020-12-09 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-12-09_final
2020-12-09 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final
2020-12-09 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final
2020-12-09 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2020-12-09_final
2020-12-12 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2020-12-12_final
2020-12-12 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2020-12-12_final
2020-12-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2020-12-12_final
2020-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-12-12_final
2020-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-12_final
2020-12-13 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2020-12-13_final
2020-12-13 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2020-12-13_final
2020-12-13 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-12-13_final
2020-12-13 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2020-12-13_final
2020-12-13 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-12-13_final
2020-12-13 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2020-12-13_final
2020-12-16 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2020-12-16_final
2020-12-16 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2020-12-16_final
2020-12-16 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-12-16_final
2020-12-16 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2020-12-16_final
2020-12-16 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-12-16_final
2020-12-16 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-12-16_final
2020-12-16 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2020-12-16_final
2020-12-16 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2020-12-16_final
2020-12-16 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-12-16_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2020-12-19 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2020-12-19_final
2020-12-19 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2020-12-19_final
2020-12-19 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2020-12-19_final
2020-12-19 11:46:11	ga_s2bm_ard_3-2-1_50JQL_2020-12-19_final
2020-12-19 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2020-12-19_final
2020-12-19 11:46:21	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2020-12-19 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2020-12-19_final
2020-12-19 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2020-12-19 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-12-19_final
2020-12-19 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-12-19_final
2020-12-19 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-12-19_final
2020-12-19 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-12-19_final
2020-12-19 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-19_final
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_final
2020-12-22 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2020-12-22_final
2020-12-22 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2020-12-22_final
2020-12-22 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-12-22_final
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final
2020-12-26 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2020-12-26_final
2020-12-26 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2020-12-26_final
2020-12-26 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2020-12-26_final
2020-12-26 11:36:31	ga_s2bm_ard_3-2-1_51HVD_2020-12-26_final
2020-12-26 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2020-12-26_final
2020-12-26 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2020-12-26_final
2020-12-26 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2020-12-26_final
2020-12-26 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-12-26_final
2020-12-26 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-12-26_final
2020-12-26 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-12-26_final
2020-12-29 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2020-12-29_final
2020-12-29 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2020-12-29_final
2020-12-29 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-12-29_final
2020-12-29 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2020-12-29_final
2020-12-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2020-12-29_final
2020-12-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-29_final
2020-12-29 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-12-29_final
2020-12-29 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2020-12-29_final
2020-12-29 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-29_final
2020-12-29 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-12-29_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