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
2021-08-02 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2021-08-02_final
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2021-08-02_final
2021-08-02 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2021-08-02_final
2021-08-02 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-02_final
2021-08-02 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-08-02_final
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final
2021-08-02 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2021-08-02_final
2021-08-02 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-08-02_final
2021-08-02 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2021-08-02_final
2021-08-03 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2021-08-03_final
2021-08-03 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-08-03_final
2021-08-03 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2021-08-03_final
2021-08-03 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2021-08-03_final
2021-08-03 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2021-08-03_final
2021-08-03 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-08-03_final
2021-08-03 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2021-08-03_final
2021-08-05 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-08-05_final
2021-08-06 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2021-08-06_final
2021-08-06 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-08-06_final
2021-08-06 11:45:33	ga_s2bm_ard_3-2-1_50JQP_2021-08-06_final
2021-08-06 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-08-06_final
2021-08-06 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2021-08-06_final
2021-08-06 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-08-06_final
2021-08-06 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-08-06_final
2021-08-09 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-08-09_final
2021-08-09 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2021-08-09_final
2021-08-09 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-08-09_final
2021-08-09 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-08-09_final
2021-08-09 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-08-09_final
2021-08-09 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-08-09_final
2021-08-09 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-08-09_final
2021-08-09 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-08-09_final
2021-08-09 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-08-09_final
2021-08-10 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-08-10_final
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-08-12_final
2021-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final
2021-08-12 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2021-08-12_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_50JKS_2021-08-12_final
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final
2021-08-12 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2021-08-12_final
2021-08-12 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-08-12_final
2021-08-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-08-12_final
2021-08-12 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-08-12_final
2021-08-12 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2021-08-12_final
2021-08-12 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2021-08-12_final
2021-08-13 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2021-08-13_final
2021-08-13 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-08-13_final
2021-08-13 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2021-08-13_final
2021-08-13 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2021-08-13_final
2021-08-13 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2021-08-13_final
2021-08-13 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2021-08-13_final
2021-08-13 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2021-08-13_final
2021-08-16 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2021-08-16_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-08-16_final
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2021-08-16_final
2021-08-16 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2021-08-16_final
2021-08-16 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-08-16_final
2021-08-16 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-08-16_final
2021-08-16 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2021-08-16_final
2021-08-16 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2021-08-16_final
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final
2021-08-19 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-08-19_final
2021-08-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-08-19_final
2021-08-19 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-08-19_final
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final
2021-08-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-08-19_final
2021-08-20 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-08-20_final
2021-08-20 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-08-20_final
2021-08-22 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2021-08-22_final
2021-08-22 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-08-22_final
2021-08-22 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2021-08-22_final
2021-08-22 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-08-22_final
2021-08-22 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2021-08-22_final
2021-08-22 12:06:13	ga_s2bm_ard_3-2-1_50JLL_2021-08-22_final
2021-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final
2021-08-23 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2021-08-23_final
2021-08-23 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-08-23_final
2021-08-23 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2021-08-23_final
2021-08-23 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2021-08-23_final
2021-08-23 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-08-23_final
2021-08-23 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-08-23_final
2021-08-23 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2021-08-23_final
2021-08-26 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2021-08-26_final
2021-08-26 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2021-08-26_final
2021-08-26 11:44:51	ga_s2bm_ard_3-2-1_50JPS_2021-08-26_final
2021-08-26 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2021-08-26_final
2021-08-26 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2021-08-26_final
2021-08-26 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2021-08-26_final
2021-08-26 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2021-08-26_final
2021-08-26 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-08-26 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2021-08-26_final
2021-08-29 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2021-08-29_final
2021-08-29 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2021-08-29_final
2021-08-29 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2021-08-29_final
2021-08-29 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2021-08-29_final
2021-08-29 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-08-29_final
2021-08-29 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2021-08-29_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