Search ga_s2am_ard_3 across September 2023

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
2023-09-01 09:34:49	ga_s2am_ard_3-2-1_56JNN_2023-09-01_final.stac-item
2023-09-01 09:34:49	ga_s2am_ard_3-2-1_56JKP_2023-09-01_final.stac-item
2023-09-01 09:34:57	ga_s2am_ard_3-2-1_56JMN_2023-09-01_final.stac-item
2023-09-01 09:37:01	ga_s2am_ard_3-2-1_55HGV_2023-09-01_final.stac-item
2023-09-01 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-09-01_final.stac-item
2023-09-02 10:45:19	ga_s2am_ard_3-2-1_53JKJ_2023-09-02_final.stac-item
2023-09-03 10:14:48	ga_s2am_ard_3-2-1_54JWQ_2023-09-03_final.stac-item
2023-09-03 10:14:51	ga_s2am_ard_3-2-1_54JVQ_2023-09-03_final.stac-item
2023-09-03 10:15:17	ga_s2am_ard_3-2-1_54JWN_2023-09-03_final.stac-item
2023-09-03 10:15:20	ga_s2am_ard_3-2-1_54JVN_2023-09-03_final.stac-item
2023-09-03 10:17:05	ga_s2am_ard_3-2-1_54HUF_2023-09-03_final.stac-item
2023-09-04 09:45:09	ga_s2am_ard_3-2-1_55JEH_2023-09-04_final.stac-item
2023-09-05 10:56:05	ga_s2am_ard_3-2-1_52JFL_2023-09-05_final.stac-item
2023-09-06 10:25:16	ga_s2am_ard_3-2-1_54JVN_2023-09-06_final.stac-item
2023-09-06 10:25:58	ga_s2am_ard_3-2-1_53JPF_2023-09-06_final.stac-item
2023-09-06 10:26:56	ga_s2am_ard_3-2-1_53HPB_2023-09-06_final.stac-item
2023-09-06 10:26:56	ga_s2am_ard_3-2-1_54HUF_2023-09-06_final.stac-item
2023-09-07 09:54:56	ga_s2am_ard_3-2-1_55JFH_2023-09-07_final.stac-item
2023-09-07 09:55:09	ga_s2am_ard_3-2-1_55JDH_2023-09-07_final.stac-item
2023-09-07 09:57:02	ga_s2am_ard_3-2-1_54HXF_2023-09-07_final.stac-item
2023-09-07 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2023-09-07_final.stac-item
2023-09-07 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2023-09-07_final.stac-item
2023-09-07 11:35:39	ga_s2am_ard_3-2-1_51JTJ_2023-09-07_final.stac-item
2023-09-07 11:36:32	ga_s2am_ard_3-2-1_50JPL_2023-09-07_final.stac-item
2023-09-08 09:24:58	ga_s2am_ard_3-2-1_56JNN_2023-09-07_final.stac-item
2023-09-08 09:25:01	ga_s2am_ard_3-2-1_56JMN_2023-09-07_final.stac-item
2023-09-08 09:27:06	ga_s2am_ard_3-2-1_55HGV_2023-09-07_final.stac-item
2023-09-08 11:05:18	ga_s2am_ard_3-2-1_52JFP_2023-09-08_final.stac-item
2023-09-09 10:35:54	ga_s2am_ard_3-2-1_53JPF_2023-09-09_final.stac-item
2023-09-09 10:36:51	ga_s2am_ard_3-2-1_53HPB_2023-09-09_final.stac-item
2023-09-10 10:04:53	ga_s2am_ard_3-2-1_55JCJ_2023-09-10_final.stac-item
2023-09-10 10:06:58	ga_s2am_ard_3-2-1_54HXF_2023-09-10_final.stac-item
2023-09-10 11:46:24	ga_s2am_ard_3-2-1_50JPL_2023-09-10_final.stac-item
2023-09-10 11:47:39	ga_s2am_ard_3-2-1_50HLF_2023-09-10_nrt.stac-item
2023-09-11 09:34:48	ga_s2am_ard_3-2-1_56JNN_2023-09-11_final.stac-item
2023-09-11 09:34:49	ga_s2am_ard_3-2-1_56JKP_2023-09-11_final.stac-item
2023-09-11 09:34:56	ga_s2am_ard_3-2-1_56JMN_2023-09-11_final.stac-item
2023-09-11 09:37:01	ga_s2am_ard_3-2-1_55HGV_2023-09-11_final.stac-item
2023-09-11 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-09-11_final.stac-item
2023-09-12 10:45:19	ga_s2am_ard_3-2-1_53JKJ_2023-09-12_final.stac-item
2023-09-13 10:14:47	ga_s2am_ard_3-2-1_54JXP_2023-09-13_final.stac-item
2023-09-13 10:14:50	ga_s2am_ard_3-2-1_54JWQ_2023-09-13_final.stac-item
2023-09-13 10:14:52	ga_s2am_ard_3-2-1_54JVQ_2023-09-13_final.stac-item
2023-09-13 10:15:16	ga_s2am_ard_3-2-1_54JWN_2023-09-13_final.stac-item
2023-09-13 10:15:19	ga_s2am_ard_3-2-1_54JVN_2023-09-13_final.stac-item
2023-09-13 10:15:23	ga_s2am_ard_3-2-1_54JUN_2023-09-13_final.stac-item
2023-09-13 10:17:05	ga_s2am_ard_3-2-1_54HUF_2023-09-13_final.stac-item
2023-09-13 10:17:08	ga_s2am_ard_3-2-1_54HWE_2023-09-13_final.stac-item
2023-09-14 09:45:08	ga_s2am_ard_3-2-1_55JEH_2023-09-14_final.stac-item
2023-09-15 10:56:04	ga_s2am_ard_3-2-1_52JFL_2023-09-15_final.stac-item
2023-09-16 10:25:14	ga_s2am_ard_3-2-1_54JVN_2023-09-16_final.stac-item
2023-09-16 10:25:56	ga_s2am_ard_3-2-1_53JPF_2023-09-16_final.stac-item
2023-09-16 10:26:44	ga_s2am_ard_3-2-1_54HUG_2023-09-16_final.stac-item
2023-09-16 10:26:54	ga_s2am_ard_3-2-1_53HPB_2023-09-16_final.stac-item
2023-09-16 10:27:18	ga_s2am_ard_3-2-1_53HPV_2023-09-16_final.stac-item
2023-09-17 09:55:07	ga_s2am_ard_3-2-1_55JDH_2023-09-17_final.stac-item
2023-09-17 09:57:01	ga_s2am_ard_3-2-1_54HXF_2023-09-17_final.stac-item
2023-09-17 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2023-09-17_final.stac-item
2023-09-17 11:35:37	ga_s2am_ard_3-2-1_51JTJ_2023-09-17_final.stac-item
2023-09-18 09:24:56	ga_s2am_ard_3-2-1_56JNN_2023-09-17_final.stac-item
2023-09-18 09:24:59	ga_s2am_ard_3-2-1_56JMN_2023-09-17_final.stac-item
2023-09-18 09:27:04	ga_s2am_ard_3-2-1_55HGV_2023-09-17_final.stac-item
2023-09-19 10:35:51	ga_s2am_ard_3-2-1_53JPF_2023-09-19_final.stac-item
2023-09-19 10:36:49	ga_s2am_ard_3-2-1_53HPB_2023-09-19_final.stac-item
2023-09-20 10:04:50	ga_s2am_ard_3-2-1_55JCJ_2023-09-20_final.stac-item
2023-09-20 10:06:56	ga_s2am_ard_3-2-1_54HXF_2023-09-20_final.stac-item
2023-09-20 11:46:21	ga_s2am_ard_3-2-1_50JPL_2023-09-20_final.stac-item
2023-09-20 11:47:35	ga_s2am_ard_3-2-1_50HLF_2023-09-20_nrt.stac-item
2023-09-21 09:34:46	ga_s2am_ard_3-2-1_56JKP_2023-09-21_final.stac-item
2023-09-21 09:34:53	ga_s2am_ard_3-2-1_56JMN_2023-09-21_final.stac-item
2023-09-21 09:36:58	ga_s2am_ard_3-2-1_55HGV_2023-09-21_final.stac-item
2023-09-21 11:15:14	ga_s2am_ard_3-2-1_52JDP_2023-09-21_final.stac-item
2023-09-21 11:16:14	ga_s2am_ard_3-2-1_51JXF_2023-09-21_final.stac-item
2023-09-22 10:45:16	ga_s2am_ard_3-2-1_53JKJ_2023-09-22_final.stac-item
2023-09-22 10:45:43	ga_s2am_ard_3-2-1_53JNF_2023-09-22_final.stac-item
2023-09-23 10:14:44	ga_s2am_ard_3-2-1_54JWQ_2023-09-23_final.stac-item
2023-09-23 10:14:48	ga_s2am_ard_3-2-1_54JVQ_2023-09-23_final.stac-item
2023-09-23 10:15:11	ga_s2am_ard_3-2-1_54JVN_2023-09-23_final.stac-item
2023-09-23 10:15:16	ga_s2am_ard_3-2-1_54JWN_2023-09-23_final.stac-item
2023-09-23 10:15:18	ga_s2am_ard_3-2-1_54JVN_2023-09-23_final.stac-item
2023-09-23 10:17:02	ga_s2am_ard_3-2-1_54HUF_2023-09-23_final.stac-item
2023-09-23 11:57:30	ga_s2am_ard_3-2-1_50HLF_2023-09-23_nrt.stac-item
2023-09-24 09:45:06	ga_s2am_ard_3-2-1_55JEH_2023-09-24_final.stac-item
2023-09-25 10:56:02	ga_s2am_ard_3-2-1_52JFL_2023-09-25_final.stac-item
2023-09-26 10:25:13	ga_s2am_ard_3-2-1_54JVN_2023-09-26_final.stac-item
2023-09-26 10:25:55	ga_s2am_ard_3-2-1_53JPF_2023-09-26_final.stac-item
2023-09-26 10:26:53	ga_s2am_ard_3-2-1_53HPB_2023-09-26_final.stac-item
2023-09-27 09:55:06	ga_s2am_ard_3-2-1_55JDH_2023-09-27_final.stac-item
2023-09-27 09:56:59	ga_s2am_ard_3-2-1_54HXF_2023-09-27_final.stac-item
2023-09-27 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2023-09-27_final.stac-item
2023-09-27 11:37:27	ga_s2am_ard_3-2-1_51HUA_2023-09-27_nrt.stac-item
2023-09-28 09:24:55	ga_s2am_ard_3-2-1_56JNN_2023-09-27_final.stac-item
2023-09-28 09:24:58	ga_s2am_ard_3-2-1_56JMN_2023-09-27_final.stac-item
2023-09-28 09:27:03	ga_s2am_ard_3-2-1_55HGV_2023-09-27_final.stac-item
2023-09-28 11:05:15	ga_s2am_ard_3-2-1_52JFP_2023-09-28_final.stac-item
2023-09-29 10:35:51	ga_s2am_ard_3-2-1_53JPF_2023-09-29_final.stac-item
2023-09-29 10:36:48	ga_s2am_ard_3-2-1_53HPB_2023-09-29_final.stac-item
2023-09-30 10:04:50	ga_s2am_ard_3-2-1_55JCJ_2023-09-30_final.stac-item
2023-09-30 10:06:56	ga_s2am_ard_3-2-1_54HXF_2023-09-30_final.stac-item
2023-09-30 11:46:21	ga_s2am_ard_3-2-1_50JPL_2023-09-30_final.stac-item

Return to ga_s2am_ard_3 across September 2023 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

2023

September

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