Search ga_s2am_ard_3 across November 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
2023-11-01 10:45:13	ga_s2am_ard_3-2-1_53JKJ_2023-11-01_final.stac-item
2023-11-02 10:15:10	ga_s2am_ard_3-2-1_54JWN_2023-11-02_final.stac-item
2023-11-02 10:15:14	ga_s2am_ard_3-2-1_54JVN_2023-11-02_final.stac-item
2023-11-02 10:15:18	ga_s2am_ard_3-2-1_54JUN_2023-11-02_final.stac-item
2023-11-02 10:16:51	ga_s2am_ard_3-2-1_54HWF_2023-11-02_final.stac-item
2023-11-02 10:16:55	ga_s2am_ard_3-2-1_54HVF_2023-11-02_final.stac-item
2023-11-02 11:55:25	ga_s2am_ard_3-2-1_50JPP_2023-11-02_final.stac-item
2023-11-02 11:55:54	ga_s2am_ard_3-2-1_50JMN_2023-11-02_final.stac-item
2023-11-03 09:44:45	ga_s2am_ard_3-2-1_55JFJ_2023-11-03_final.stac-item
2023-11-03 09:45:03	ga_s2am_ard_3-2-1_55JEH_2023-11-03_final.stac-item
2023-11-03 09:47:42	ga_s2am_ard_3-2-1_55HES_2023-11-03_final.stac-item
2023-11-03 09:47:54	ga_s2am_ard_3-2-1_54HYB_2023-11-03_final.stac-item
2023-11-03 11:25:41	ga_s2am_ard_3-2-1_51JWH_2023-11-03_final.stac-item
2023-11-03 11:25:44	ga_s2am_ard_3-2-1_51JVH_2023-11-03_final.stac-item
2023-11-04 10:54:59	ga_s2am_ard_3-2-1_53JKJ_2023-11-04_final.stac-item
2023-11-04 10:55:09	ga_s2am_ard_3-2-1_53JKJ_2023-11-04_final.stac-item
2023-11-05 10:25:02	ga_s2am_ard_3-2-1_54JTP_2023-11-05_final.stac-item
2023-11-05 10:25:10	ga_s2am_ard_3-2-1_54JVN_2023-11-05_final.stac-item
2023-11-06 09:54:59	ga_s2am_ard_3-2-1_55JEH_2023-11-06_final.stac-item
2023-11-06 09:55:03	ga_s2am_ard_3-2-1_55JDH_2023-11-06_final.stac-item
2023-11-06 09:57:50	ga_s2am_ard_3-2-1_54HYB_2023-11-06_final.stac-item
2023-11-06 09:57:58	ga_s2am_ard_3-2-1_54HWB_2023-11-06_nrt.stac-item
2023-11-06 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2023-11-06_final.stac-item
2023-11-06 11:35:40	ga_s2am_ard_3-2-1_51JVH_2023-11-06_final.stac-item
2023-11-08 10:34:57	ga_s2am_ard_3-2-1_54JTP_2023-11-08_final.stac-item
2023-11-09 10:06:57	ga_s2am_ard_3-2-1_54HWF_2023-11-09_final.stac-item
2023-11-09 10:07:00	ga_s2am_ard_3-2-1_54HVF_2023-11-09_final.stac-item
2023-11-10 09:34:43	ga_s2am_ard_3-2-1_56JKP_2023-11-10_final.stac-item
2023-11-10 09:34:51	ga_s2am_ard_3-2-1_56JMN_2023-11-10_final.stac-item
2023-11-10 09:37:43	ga_s2am_ard_3-2-1_55HFS_2023-11-10_final.stac-item
2023-11-10 09:37:47	ga_s2am_ard_3-2-1_55HES_2023-11-10_final.stac-item
2023-11-10 11:15:21	ga_s2am_ard_3-2-1_52JBP_2023-11-10_final.stac-item
2023-11-11 10:45:13	ga_s2am_ard_3-2-1_53JKJ_2023-11-11_final.stac-item
2023-11-12 10:15:11	ga_s2am_ard_3-2-1_54JWN_2023-11-12_final.stac-item
2023-11-12 10:15:14	ga_s2am_ard_3-2-1_54JVN_2023-11-12_final.stac-item
2023-11-12 10:15:18	ga_s2am_ard_3-2-1_54JUN_2023-11-12_final.stac-item
2023-11-12 10:16:52	ga_s2am_ard_3-2-1_54HWF_2023-11-12_final.stac-item
2023-11-12 10:16:56	ga_s2am_ard_3-2-1_54HVF_2023-11-12_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2023-11-13 09:44:45	ga_s2am_ard_3-2-1_55JFJ_2023-11-13_final.stac-item
2023-11-13 09:45:03	ga_s2am_ard_3-2-1_55JEH_2023-11-13_final.stac-item
2023-11-13 09:47:43	ga_s2am_ard_3-2-1_55HES_2023-11-13_final.stac-item
2023-11-13 09:47:54	ga_s2am_ard_3-2-1_54HYB_2023-11-13_final.stac-item
2023-11-13 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2023-11-13_final.stac-item
2023-11-13 11:25:41	ga_s2am_ard_3-2-1_51JWH_2023-11-13_final.stac-item
2023-11-13 11:25:45	ga_s2am_ard_3-2-1_51JVH_2023-11-13_final.stac-item
2023-11-14 09:14:42	ga_s2am_ard_3-2-1_56JPP_2023-11-13_nrt.stac-item
2023-11-14 10:55:09	ga_s2am_ard_3-2-1_53JKJ_2023-11-14_final.stac-item
2023-11-15 10:25:01	ga_s2am_ard_3-2-1_54JTP_2023-11-15_final.stac-item
2023-11-15 10:25:08	ga_s2am_ard_3-2-1_54JTP_2023-11-15_final.stac-item
2023-11-15 10:25:12	ga_s2am_ard_3-2-1_54JVN_2023-11-15_final.stac-item
2023-11-16 09:54:39	ga_s2am_ard_3-2-1_55JFJ_2023-11-16_final.stac-item
2023-11-16 09:54:58	ga_s2am_ard_3-2-1_55JEH_2023-11-16_final.stac-item
2023-11-16 09:55:02	ga_s2am_ard_3-2-1_55JDH_2023-11-16_final.stac-item
2023-11-16 09:57:49	ga_s2am_ard_3-2-1_54HYB_2023-11-16_final.stac-item
2023-11-16 09:57:57	ga_s2am_ard_3-2-1_54HWB_2023-11-16_nrt.stac-item
2023-11-16 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2023-11-16_final.stac-item
2023-11-16 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-11-16_final.stac-item
2023-11-16 11:35:39	ga_s2am_ard_3-2-1_51JVH_2023-11-16_final.stac-item
2023-11-17 09:24:33	ga_s2am_ard_3-2-1_56JPP_2023-11-16_nrt.stac-item
2023-11-17 09:24:51	ga_s2am_ard_3-2-1_56JNN_2023-11-16_final.stac-item
2023-11-17 09:24:54	ga_s2am_ard_3-2-1_56JMN_2023-11-16_final.stac-item
2023-11-17 09:27:34	ga_s2am_ard_3-2-1_56HMB_2023-11-16_nrt.stac-item
2023-11-17 09:27:37	ga_s2am_ard_3-2-1_56HLB_2023-11-16_nrt.stac-item
2023-11-17 09:27:41	ga_s2am_ard_3-2-1_56HKB_2023-11-16_nrt.stac-item
2023-11-17 11:05:05	ga_s2am_ard_3-2-1_52JFP_2023-11-17_final.stac-item
2023-11-17 11:05:06	ga_s2am_ard_3-2-1_52JEP_2023-11-17_final.stac-item
2023-11-19 10:06:55	ga_s2am_ard_3-2-1_54HWF_2023-11-19_final.stac-item
2023-11-19 10:06:58	ga_s2am_ard_3-2-1_54HVF_2023-11-19_final.stac-item
2023-11-20 09:34:41	ga_s2am_ard_3-2-1_56JKP_2023-11-20_final.stac-item
2023-11-20 09:34:48	ga_s2am_ard_3-2-1_56JMN_2023-11-20_final.stac-item
2023-11-20 09:37:41	ga_s2am_ard_3-2-1_55HFS_2023-11-20_final.stac-item
2023-11-20 11:15:19	ga_s2am_ard_3-2-1_52JBP_2023-11-20_final.stac-item
2023-11-21 10:45:11	ga_s2am_ard_3-2-1_53JKJ_2023-11-21_final.stac-item
2023-11-22 10:15:08	ga_s2am_ard_3-2-1_54JWN_2023-11-22_final.stac-item
2023-11-22 10:15:11	ga_s2am_ard_3-2-1_54JVN_2023-11-22_final.stac-item
2023-11-22 10:15:15	ga_s2am_ard_3-2-1_54JUN_2023-11-22_final.stac-item
2023-11-22 10:16:48	ga_s2am_ard_3-2-1_54HWF_2023-11-22_final.stac-item
2023-11-22 10:16:53	ga_s2am_ard_3-2-1_54HVF_2023-11-22_final.stac-item
2023-11-22 11:55:22	ga_s2am_ard_3-2-1_50JPP_2023-11-22_final.stac-item
2023-11-22 11:55:49	ga_s2am_ard_3-2-1_50JMN_2023-11-22_final.stac-item
2023-11-23 09:44:42	ga_s2am_ard_3-2-1_55JFJ_2023-11-23_final.stac-item
2023-11-23 09:45:00	ga_s2am_ard_3-2-1_55JEH_2023-11-23_final.stac-item
2023-11-23 09:47:39	ga_s2am_ard_3-2-1_55HES_2023-11-23_final.stac-item
2023-11-23 09:47:51	ga_s2am_ard_3-2-1_54HYB_2023-11-23_final.stac-item
2023-11-23 11:25:38	ga_s2am_ard_3-2-1_51JWH_2023-11-23_final.stac-item
2023-11-23 11:25:41	ga_s2am_ard_3-2-1_51JVH_2023-11-23_final.stac-item
2023-11-24 10:55:00	ga_s2am_ard_3-2-1_53JLJ_2023-11-24_final.stac-item
2023-11-24 10:55:05	ga_s2am_ard_3-2-1_53JKJ_2023-11-24_final.stac-item
2023-11-26 09:54:54	ga_s2am_ard_3-2-1_55JEH_2023-11-26_final.stac-item
2023-11-26 09:54:58	ga_s2am_ard_3-2-1_55JDH_2023-11-26_final.stac-item
2023-11-26 09:57:45	ga_s2am_ard_3-2-1_54HYB_2023-11-26_final.stac-item
2023-11-26 09:57:53	ga_s2am_ard_3-2-1_54HWB_2023-11-26_nrt.stac-item
2023-11-26 11:35:28	ga_s2am_ard_3-2-1_51JTJ_2023-11-26_final.stac-item
2023-11-27 09:24:46	ga_s2am_ard_3-2-1_56JNN_2023-11-26_final.stac-item
2023-11-27 09:24:49	ga_s2am_ard_3-2-1_56JMN_2023-11-26_final.stac-item
2023-11-27 09:27:33	ga_s2am_ard_3-2-1_56HLB_2023-11-26_nrt.stac-item
2023-11-27 09:27:36	ga_s2am_ard_3-2-1_56HKB_2023-11-26_nrt.stac-item
2023-11-29 10:06:49	ga_s2am_ard_3-2-1_54HWF_2023-11-29_final.stac-item
2023-11-29 10:06:53	ga_s2am_ard_3-2-1_54HVF_2023-11-29_final.stac-item

Return to ga_s2am_ard_3 across November 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

November

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