Search ga_s2am_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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JCR_2015-10-23_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCR_2016-01-11_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_52JCR_2016-02-10_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JCR_2016-03-11_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52JCR_2016-04-10_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_52JCR_2016-04-30_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52JCR_2016-05-10_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52JCR_2016-05-30_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52JCR_2016-06-19_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCR_2016-07-09_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JCR_2016-07-29_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52JCR_2016-08-18_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_52JCR_2016-09-07_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52JCR_2016-09-27_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_52JCR_2016-10-17_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52JCR_2016-10-27_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_52JCR_2016-11-06_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52JCR_2016-11-16_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JCR_2016-12-06_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_52JCR_2016-12-16_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JCR_2016-12-26_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52JCR_2017-01-15_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCR_2017-01-25_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52JCR_2017-02-04_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52JCR_2017-02-14_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52JCR_2017-03-06_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_52JCR_2017-03-26_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52JCR_2017-04-15_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52JCR_2017-05-05_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JCR_2017-05-25_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52JCR_2017-06-14_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52JCR_2017-07-04_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_52JCR_2017-07-24_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JCR_2017-08-13_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52JCR_2017-09-02_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_52JCR_2017-09-22_final
2017-10-12 11:12:00	ga_s2am_ard_3-2-1_52JCR_2017-10-12_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_52JCR_2017-11-01_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_52JCR_2017-11-21_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_52JCR_2017-12-11_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JCR_2017-12-31_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52JCR_2018-01-20_final
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_52JCR_2018-02-09_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JCR_2018-02-19_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52JCR_2018-03-01_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52JCR_2018-03-11_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52JCR_2018-03-21_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52JCR_2018-03-31_final
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52JCR_2018-04-10_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52JCR_2018-04-20_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52JCR_2018-05-10_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52JCR_2018-05-20_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_52JCR_2018-05-30_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JCR_2018-06-09_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JCR_2018-06-19_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_52JCR_2018-06-29_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52JCR_2018-07-09_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52JCR_2018-07-19_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_52JCR_2018-07-29_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52JCR_2018-08-08_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_52JCR_2018-08-18_final
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_52JCR_2018-08-28_final
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_52JCR_2018-09-07_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_52JCR_2018-09-17_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_52JCR_2018-09-27_final
2019-03-26 11:14:48	ga_s2am_ard_3-2-1_52JCR_2019-03-26_final
2019-04-25 11:14:53	ga_s2am_ard_3-2-1_52JCR_2019-04-25_final
2019-05-05 11:14:53	ga_s2am_ard_3-2-1_52JCR_2019-05-05_final
2022-01-19 11:14:50	ga_s2am_ard_3-2-1_52JCR_2022-01-19_final
2022-01-29 11:14:49	ga_s2am_ard_3-2-1_52JCR_2022-01-29_final
2022-02-08 11:14:49	ga_s2am_ard_3-2-1_52JCR_2022-02-08_final
2022-02-18 11:14:51	ga_s2am_ard_3-2-1_52JCR_2022-02-18_final
2022-02-28 11:14:53	ga_s2am_ard_3-2-1_52JCR_2022-02-28_final
2022-03-10 11:14:53	ga_s2am_ard_3-2-1_52JCR_2022-03-10_final
2022-03-20 11:14:53	ga_s2am_ard_3-2-1_52JCR_2022-03-20_final
2022-03-30 11:14:52	ga_s2am_ard_3-2-1_52JCR_2022-03-30_final
2022-04-09 11:14:51	ga_s2am_ard_3-2-1_52JCR_2022-04-09_final
2022-04-19 11:14:53	ga_s2am_ard_3-2-1_52JCR_2022-04-19_final.stac-item
2022-04-29 11:14:55	ga_s2am_ard_3-2-1_52JCR_2022-04-29_final
2022-05-09 11:14:53	ga_s2am_ard_3-2-1_52JCR_2022-05-09_final
2022-05-19 11:14:55	ga_s2am_ard_3-2-1_52JCR_2022-05-19_final
2022-05-29 11:14:57	ga_s2am_ard_3-2-1_52JCR_2022-05-29_final
2022-06-08 11:14:58	ga_s2am_ard_3-2-1_52JCR_2022-06-08_final
2022-06-18 11:15:01	ga_s2am_ard_3-2-1_52JCR_2022-06-18_final
2022-06-28 11:15:02	ga_s2am_ard_3-2-1_52JCR_2022-06-28_final
2022-07-08 11:15:02	ga_s2am_ard_3-2-1_52JCR_2022-07-08_final
2022-07-18 11:15:01	ga_s2am_ard_3-2-1_52JCR_2022-07-18_final
2022-07-28 11:14:59	ga_s2am_ard_3-2-1_52JCR_2022-07-28_final
2022-08-07 11:15:01	ga_s2am_ard_3-2-1_52JCR_2022-08-07_final
2022-08-17 11:15:02	ga_s2am_ard_3-2-1_52JCR_2022-08-17_final
2022-08-27 11:15:02	ga_s2am_ard_3-2-1_52JCR_2022-08-27_final
2023-12-20 11:15:29	ga_s2am_ard_3-2-1_52JCN_2023-12-20_final.stac-item
2024-01-09 11:15:28	ga_s2am_ard_3-2-1_52JCN_2024-01-09_final.stac-item
2024-01-19 11:15:24	ga_s2am_ard_3-2-1_52JCN_2024-01-19_final.stac-item
2024-01-29 11:15:28	ga_s2am_ard_3-2-1_52JCN_2024-01-29_final.stac-item
2024-02-28 11:15:32	ga_s2am_ard_3-2-1_52JCN_2024-02-28_final.stac-item
2024-03-09 11:13:47	ga_s2am_ard_3-2-1_52KCV_2024-03-09_final.stac-item
2024-04-08 11:15:32	ga_s2am_ard_3-2-1_52JCN_2024-04-08_final.stac-item
2024-04-18 11:15:36	ga_s2am_ard_3-2-1_52JCN_2024-04-18_final.stac-item
2024-05-08 11:15:35	ga_s2am_ard_3-2-1_52JCN_2024-05-08_final.stac-item

Return to ga_s2am_ard_3 whole collection 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

All years