Search ga_s2am_ard_3 across 2022

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
2022-01-02 09:47:45	ga_s2am_ard_3-2-1_55HES_2022-01-02_final
2022-01-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-01-08_final
2022-01-09 09:37:49	ga_s2am_ard_3-2-1_55HES_2022-01-09_final
2022-01-12 09:47:45	ga_s2am_ard_3-2-1_55HES_2022-01-12_final
2022-01-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-18_final
2022-01-22 09:47:43	ga_s2am_ard_3-2-1_55HES_2022-01-22_final
2022-01-28 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-28_final
2022-01-29 09:37:47	ga_s2am_ard_3-2-1_55HES_2022-01-29_final
2022-02-01 09:47:43	ga_s2am_ard_3-2-1_55HES_2022-02-01_final
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final
2022-02-08 09:37:47	ga_s2am_ard_3-2-1_55HES_2022-02-08_final
2022-02-11 09:47:42	ga_s2am_ard_3-2-1_55HES_2022-02-11_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-02-18 09:37:48	ga_s2am_ard_3-2-1_55HES_2022-02-18_final
2022-02-21 09:47:45	ga_s2am_ard_3-2-1_55HES_2022-02-21_final
2022-02-27 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-02-27_final
2022-02-28 09:37:50	ga_s2am_ard_3-2-1_55HES_2022-02-28_final
2022-03-09 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-03-09_final
2022-03-19 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-03-19_final
2022-03-29 11:47:12	ga_s2am_ard_3-2-1_50HMH_2022-03-29_final
2022-04-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-04-08_final
2022-04-18 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-04-18_final
2022-04-28 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-04-28_final
2022-05-08 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-05-08_final
2022-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-05-18_final
2022-05-22 11:27:01	ga_s2am_ard_3-2-1_51HWC_2022-05-22_final.stac-item
2022-05-28 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-05-28_final
2022-06-01 11:27:02	ga_s2am_ard_3-2-1_51HWC_2022-06-01_final.stac-item
2022-06-07 11:47:18	ga_s2am_ard_3-2-1_50HMH_2022-06-07_final
2022-06-08 11:17:07	ga_s2am_ard_3-2-1_51HWC_2022-06-08_final.stac-item
2022-06-11 11:27:04	ga_s2am_ard_3-2-1_51HWC_2022-06-11_final.stac-item
2022-06-17 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-06-17_final
2022-06-21 11:27:06	ga_s2am_ard_3-2-1_51HWC_2022-06-21_final.stac-item
2022-06-27 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-06-27_final
2022-06-28 11:17:11	ga_s2am_ard_3-2-1_51HWC_2022-06-28_final.stac-item
2022-07-07 11:47:23	ga_s2am_ard_3-2-1_50HMH_2022-07-07_final
2022-07-08 11:17:12	ga_s2am_ard_3-2-1_51HWC_2022-07-08_final.stac-item
2022-07-11 11:27:07	ga_s2am_ard_3-2-1_51HWC_2022-07-11_final.stac-item
2022-07-17 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-07-17_final
2022-07-27 11:47:20	ga_s2am_ard_3-2-1_50HMH_2022-07-27_final
2022-07-31 11:27:04	ga_s2am_ard_3-2-1_51HWC_2022-07-31_final.stac-item
2022-08-06 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-08-06_final
2022-08-10 11:27:06	ga_s2am_ard_3-2-1_51HWC_2022-08-10_final.stac-item
2022-08-16 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-16_final
2022-08-17 11:17:11	ga_s2am_ard_3-2-1_51HWC_2022-08-17_final.stac-item
2022-08-20 11:27:07	ga_s2am_ard_3-2-1_51HWC_2022-08-20_final.stac-item
2022-08-26 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-26_final
2022-09-05 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-09-05_final.stac-item
2022-09-06 09:37:59	ga_s2am_ard_3-2-1_55HES_2022-09-06_final.stac-item
2022-09-06 11:17:10	ga_s2am_ard_3-2-1_51HWC_2022-09-06_final.stac-item
2022-09-09 09:47:55	ga_s2am_ard_3-2-1_55HES_2022-09-09_final.stac-item
2022-09-15 11:47:19	ga_s2am_ard_3-2-1_50HMH_2022-09-15_final.stac-item
2022-09-16 09:37:57	ga_s2am_ard_3-2-1_55HES_2022-09-16_final.stac-item
2022-09-19 09:47:52	ga_s2am_ard_3-2-1_55HES_2022-09-19_final.stac-item
2022-09-19 11:27:03	ga_s2am_ard_3-2-1_51HWC_2022-09-19_final.stac-item
2022-09-25 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-09-25_final.stac-item
2022-09-26 09:37:54	ga_s2am_ard_3-2-1_55HES_2022-09-26_final.stac-item
2022-09-29 09:47:51	ga_s2am_ard_3-2-1_55HES_2022-09-29_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-06 09:37:54	ga_s2am_ard_3-2-1_55HES_2022-10-06_final.stac-item
2022-10-09 09:47:50	ga_s2am_ard_3-2-1_55HES_2022-10-09_final.stac-item
2022-10-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-10-15_final.stac-item
2022-10-16 09:37:51	ga_s2am_ard_3-2-1_55HES_2022-10-16_final.stac-item
2022-10-16 11:17:02	ga_s2am_ard_3-2-1_51HWC_2022-10-16_final.stac-item
2022-10-19 09:47:46	ga_s2am_ard_3-2-1_55HES_2022-10-19_final.stac-item
2022-10-25 11:47:12	ga_s2am_ard_3-2-1_50HMH_2022-10-25_final.stac-item
2022-10-26 09:37:50	ga_s2am_ard_3-2-1_55HES_2022-10-26_final.stac-item
2022-10-26 11:17:02	ga_s2am_ard_3-2-1_51HWC_2022-10-26_final.stac-item
2022-10-29 09:47:47	ga_s2am_ard_3-2-1_55HES_2022-10-29_final.stac-item
2022-11-04 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-11-04_final.stac-item
2022-11-05 09:37:51	ga_s2am_ard_3-2-1_55HES_2022-11-05_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-11-15 09:37:50	ga_s2am_ard_3-2-1_55HES_2022-11-15_final.stac-item
2022-11-15 11:17:01	ga_s2am_ard_3-2-1_51HWC_2022-11-15_final.stac-item
2022-11-18 09:47:45	ga_s2am_ard_3-2-1_55HES_2022-11-18_final.stac-item
2022-11-24 10:07:00	ga_s2am_ard_3-2-1_54HVF_2022-11-24_final.stac-item
2022-11-24 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-11-24_final.stac-item
2022-11-25 09:37:46	ga_s2am_ard_3-2-1_55HES_2022-11-25_final.stac-item
2022-11-27 10:16:52	ga_s2am_ard_3-2-1_54HWF_2022-11-27_final.stac-item
2022-11-28 09:47:43	ga_s2am_ard_3-2-1_55HES_2022-11-28_final.stac-item
2022-11-28 11:26:54	ga_s2am_ard_3-2-1_51HWC_2022-11-28_final.stac-item
2022-12-04 10:06:58	ga_s2am_ard_3-2-1_54HWF_2022-12-04_final.stac-item
2022-12-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-12-04_final.stac-item
2022-12-05 09:37:48	ga_s2am_ard_3-2-1_55HES_2022-12-05_final.stac-item
2022-12-07 10:16:57	ga_s2am_ard_3-2-1_54HVF_2022-12-07_final.stac-item
2022-12-08 09:47:44	ga_s2am_ard_3-2-1_55HES_2022-12-08_final.stac-item
2022-12-08 11:26:55	ga_s2am_ard_3-2-1_51HWC_2022-12-08_final.stac-item
2022-12-14 10:07:00	ga_s2am_ard_3-2-1_54HVF_2022-12-14_final.stac-item
2022-12-14 10:07:51	ga_s2am_ard_3-2-1_54HVB_2022-12-14_nrt.stac-item
2022-12-14 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-12-14_final.stac-item
2022-12-15 09:37:47	ga_s2am_ard_3-2-1_55HES_2022-12-15_final.stac-item
2022-12-15 11:16:58	ga_s2am_ard_3-2-1_51HWC_2022-12-15_final.stac-item
2022-12-18 09:47:42	ga_s2am_ard_3-2-1_55HES_2022-12-18_final.stac-item
2022-12-22 09:26:35	ga_s2am_ard_3-2-1_56HMF_2022-12-21_nrt.stac-item
2022-12-24 10:06:55	ga_s2am_ard_3-2-1_54HWF_2022-12-24_final.stac-item
2022-12-24 10:06:58	ga_s2am_ard_3-2-1_54HVF_2022-12-24_final.stac-item
2022-12-24 10:07:49	ga_s2am_ard_3-2-1_54HVB_2022-12-24_nrt.stac-item
2022-12-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2022-12-24_final.stac-item
2022-12-27 10:16:51	ga_s2am_ard_3-2-1_54HWF_2022-12-27_final.stac-item
2022-12-27 10:16:55	ga_s2am_ard_3-2-1_54HVF_2022-12-27_final.stac-item

Return to ga_s2am_ard_3 across 2022 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

2022

All months