Search ga_s2am_ard_3 across November 2021

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
2021-11-01 10:44:39	ga_s2am_ard_3-2-1_53JNL_2021-11-01_final
2021-11-01 10:44:43	ga_s2am_ard_3-2-1_53JML_2021-11-01_final
2021-11-02 10:14:32	ga_s2am_ard_3-2-1_54JWR_2021-11-02_final
2021-11-02 10:14:35	ga_s2am_ard_3-2-1_54JVR_2021-11-02_final
2021-11-02 10:14:47	ga_s2am_ard_3-2-1_54JWQ_2021-11-02_final
2021-11-02 10:15:01	ga_s2am_ard_3-2-1_54JWP_2021-11-02_final
2021-11-02 10:16:56	ga_s2am_ard_3-2-1_54HWF_2021-11-02_final
2021-11-02 10:17:01	ga_s2am_ard_3-2-1_54HVF_2021-11-02_final
2021-11-02 11:56:26	ga_s2am_ard_3-2-1_50JML_2021-11-02_final
2021-11-03 09:44:29	ga_s2am_ard_3-2-1_55JEL_2021-11-03_final
2021-11-03 09:44:53	ga_s2am_ard_3-2-1_55JEJ_2021-11-03_final
2021-11-03 09:46:50	ga_s2am_ard_3-2-1_55HEA_2021-11-03_final
2021-11-03 09:46:53	ga_s2am_ard_3-2-1_55HDA_2021-11-03_final
2021-11-05 10:24:24	ga_s2am_ard_3-2-1_54JWR_2021-11-05_final
2021-11-05 10:24:31	ga_s2am_ard_3-2-1_54JVR_2021-11-05_final
2021-11-05 10:25:00	ga_s2am_ard_3-2-1_54JVP_2021-11-05_final
2021-11-06 09:54:20	ga_s2am_ard_3-2-1_55JEL_2021-11-06_final
2021-11-06 09:54:23	ga_s2am_ard_3-2-1_55JDL_2021-11-06_final
2021-11-06 09:54:49	ga_s2am_ard_3-2-1_55JEJ_2021-11-06_final
2021-11-06 09:56:48	ga_s2am_ard_3-2-1_55HDA_2021-11-06_final
2021-11-06 11:35:51	ga_s2am_ard_3-2-1_51JTH_2021-11-06_final
2021-11-07 09:24:41	ga_s2am_ard_3-2-1_56JNP_2021-11-06_final.stac-item
2021-11-07 09:24:44	ga_s2am_ard_3-2-1_56JMP_2021-11-06_final
2021-11-08 10:34:42	ga_s2am_ard_3-2-1_53JNL_2021-11-08_final
2021-11-11 10:44:37	ga_s2am_ard_3-2-1_53JNL_2021-11-11_final
2021-11-11 10:44:41	ga_s2am_ard_3-2-1_53JML_2021-11-11_final
2021-11-12 10:14:30	ga_s2am_ard_3-2-1_54JWR_2021-11-12_final
2021-11-12 10:14:33	ga_s2am_ard_3-2-1_54JVR_2021-11-12_final
2021-11-12 10:14:45	ga_s2am_ard_3-2-1_54JWQ_2021-11-12_final
2021-11-12 10:14:59	ga_s2am_ard_3-2-1_54JWP_2021-11-12_final
2021-11-12 10:15:10	ga_s2am_ard_3-2-1_54JUP_2021-11-12_final
2021-11-12 10:16:54	ga_s2am_ard_3-2-1_54HWF_2021-11-12_final
2021-11-12 10:16:59	ga_s2am_ard_3-2-1_54HVF_2021-11-12_final
2021-11-12 11:56:24	ga_s2am_ard_3-2-1_50JML_2021-11-12_final
2021-11-13 09:44:27	ga_s2am_ard_3-2-1_55JEL_2021-11-13_final
2021-11-13 09:44:51	ga_s2am_ard_3-2-1_55JEJ_2021-11-13_final
2021-11-13 09:46:47	ga_s2am_ard_3-2-1_55HEA_2021-11-13_final
2021-11-13 09:46:51	ga_s2am_ard_3-2-1_55HDA_2021-11-13_final
2021-11-13 11:26:49	ga_s2am_ard_3-2-1_51HXC_2021-11-13_final.stac-item
2021-11-15 10:24:22	ga_s2am_ard_3-2-1_54JWR_2021-11-15_final
2021-11-15 10:24:28	ga_s2am_ard_3-2-1_54JVR_2021-11-15_final
2021-11-15 10:24:32	ga_s2am_ard_3-2-1_54JWQ_2021-11-15_final
2021-11-15 10:24:57	ga_s2am_ard_3-2-1_54JVP_2021-11-15_final
2021-11-16 09:54:17	ga_s2am_ard_3-2-1_55JEL_2021-11-16_final
2021-11-16 09:54:21	ga_s2am_ard_3-2-1_55JDL_2021-11-16_final
2021-11-16 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2021-11-16_final
2021-11-16 09:56:46	ga_s2am_ard_3-2-1_55HDA_2021-11-16_final
2021-11-16 11:35:49	ga_s2am_ard_3-2-1_51JTH_2021-11-16_final
2021-11-17 09:24:10	ga_s2am_ard_3-2-1_56JNR_2021-11-16_final.stac-item
2021-11-17 09:24:38	ga_s2am_ard_3-2-1_56JNP_2021-11-16_final.stac-item
2021-11-17 09:24:42	ga_s2am_ard_3-2-1_56JMP_2021-11-16_final
2021-11-18 10:34:40	ga_s2am_ard_3-2-1_53JNL_2021-11-18_final
2021-11-18 10:37:09	ga_s2am_ard_3-2-1_53HPV_2021-11-18_final.stac-item
2021-11-19 10:04:14	ga_s2am_ard_3-2-1_55JDL_2021-11-19_final
2021-11-19 10:05:06	ga_s2am_ard_3-2-1_55JBH_2021-11-19_final
2021-11-19 10:06:57	ga_s2am_ard_3-2-1_54HWF_2021-11-19_final
2021-11-19 10:07:00	ga_s2am_ard_3-2-1_54HVF_2021-11-19_final
2021-11-19 11:45:43	ga_s2am_ard_3-2-1_51JTH_2021-11-19_final
2021-11-19 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-19_final
2021-11-20 09:34:05	ga_s2am_ard_3-2-1_56JNR_2021-11-20_final.stac-item
2021-11-20 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-11-20_final
2021-11-20 09:34:33	ga_s2am_ard_3-2-1_56JNP_2021-11-20_final.stac-item
2021-11-20 09:34:37	ga_s2am_ard_3-2-1_56JMP_2021-11-20_final
2021-11-20 09:36:11	ga_s2am_ard_3-2-1_56HKH_2021-11-20_final
2021-11-20 09:36:50	ga_s2am_ard_3-2-1_55HEA_2021-11-20_final
2021-11-21 10:44:35	ga_s2am_ard_3-2-1_53JNL_2021-11-21_final
2021-11-21 10:44:39	ga_s2am_ard_3-2-1_53JML_2021-11-21_final
2021-11-22 10:14:28	ga_s2am_ard_3-2-1_54JWR_2021-11-22_final
2021-11-22 10:14:31	ga_s2am_ard_3-2-1_54JVR_2021-11-22_final
2021-11-22 10:14:43	ga_s2am_ard_3-2-1_54JWQ_2021-11-22_final
2021-11-22 10:14:57	ga_s2am_ard_3-2-1_54JWP_2021-11-22_final
2021-11-22 10:15:08	ga_s2am_ard_3-2-1_54JUP_2021-11-22_final
2021-11-22 10:16:52	ga_s2am_ard_3-2-1_54HWF_2021-11-22_final
2021-11-22 10:16:57	ga_s2am_ard_3-2-1_54HVF_2021-11-22_final
2021-11-22 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-11-22_final
2021-11-23 09:44:25	ga_s2am_ard_3-2-1_55JEL_2021-11-23_final
2021-11-23 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2021-11-23_final
2021-11-23 09:46:46	ga_s2am_ard_3-2-1_55HEA_2021-11-23_final
2021-11-23 09:46:49	ga_s2am_ard_3-2-1_55HDA_2021-11-23_final
2021-11-23 11:26:48	ga_s2am_ard_3-2-1_51HXC_2021-11-23_final.stac-item
2021-11-26 09:54:16	ga_s2am_ard_3-2-1_55JEL_2021-11-26_final
2021-11-26 09:54:20	ga_s2am_ard_3-2-1_55JDL_2021-11-26_final
2021-11-26 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2021-11-26_final
2021-11-26 09:56:45	ga_s2am_ard_3-2-1_55HDA_2021-11-26_final
2021-11-26 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-11-26_final
2021-11-27 09:24:09	ga_s2am_ard_3-2-1_56JNR_2021-11-26_final.stac-item
2021-11-27 09:24:38	ga_s2am_ard_3-2-1_56JNP_2021-11-26_final.stac-item
2021-11-27 09:24:41	ga_s2am_ard_3-2-1_56JMP_2021-11-26_final
2021-11-28 10:34:39	ga_s2am_ard_3-2-1_53JNL_2021-11-28_final
2021-11-28 10:37:08	ga_s2am_ard_3-2-1_53HPV_2021-11-28_final.stac-item
2021-11-29 10:04:13	ga_s2am_ard_3-2-1_55JDL_2021-11-29_final
2021-11-29 10:05:06	ga_s2am_ard_3-2-1_55JBH_2021-11-29_final
2021-11-29 10:06:57	ga_s2am_ard_3-2-1_54HWF_2021-11-29_final
2021-11-29 10:07:00	ga_s2am_ard_3-2-1_54HVF_2021-11-29_final
2021-11-29 11:45:43	ga_s2am_ard_3-2-1_51JTH_2021-11-29_final
2021-11-29 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-29_final
2021-11-30 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-11-30_final
2021-11-30 09:34:32	ga_s2am_ard_3-2-1_56JNP_2021-11-30_final.stac-item
2021-11-30 09:34:37	ga_s2am_ard_3-2-1_56JMP_2021-11-30_final
2021-11-30 09:36:11	ga_s2am_ard_3-2-1_56HKH_2021-11-30_final

Return to ga_s2am_ard_3 across November 2021 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2021

November

All days