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
2018-03-14 11:26:47	ga_s2am_ard_3-2-1_51HUB_2018-03-14_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HUB_2018-03-17_final.stac-item
2018-03-24 11:24:03	ga_s2am_ard_3-2-1_51HUB_2018-03-24_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HUB_2018-04-13_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51HUB_2018-04-26_final.stac-item
2018-05-13 11:26:36	ga_s2am_ard_3-2-1_51HUB_2018-05-13_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUB_2018-06-05_final.stac-item
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_51HUB_2018-06-05_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51HUB_2018-06-15_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HUB_2018-07-05_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51HUB_2018-07-25_final.stac-item
2018-08-01 11:23:55	ga_s2am_ard_3-2-1_51HUB_2018-08-01_final.stac-item
2018-08-11 11:25:57	ga_s2am_ard_3-2-1_51HUB_2018-08-11_final.stac-item
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUB_2018-08-31_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51HUB_2018-09-23_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51HUB_2018-10-13_final.stac-item
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HUB_2018-10-30_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51HUB_2018-11-02_final.stac-item
2018-11-12 11:37:07	ga_s2am_ard_3-2-1_51HUB_2018-11-12_final.stac-item
2018-11-22 11:37:05	ga_s2am_ard_3-2-1_51HUB_2018-11-22_final.stac-item
2018-12-12 11:37:04	ga_s2am_ard_3-2-1_51HUB_2018-12-12_final.stac-item
2018-12-19 11:27:03	ga_s2am_ard_3-2-1_51HUB_2018-12-19_final.stac-item
2018-12-22 11:37:05	ga_s2am_ard_3-2-1_51HUB_2018-12-22_final.stac-item
2018-12-29 11:27:05	ga_s2am_ard_3-2-1_51HUB_2018-12-29_final.stac-item
2019-01-31 11:37:09	ga_s2am_ard_3-2-1_51HUB_2019-01-31_final.stac-item
2019-03-09 11:27:07	ga_s2am_ard_3-2-1_51HUB_2019-03-09_final.stac-item
2019-03-19 11:27:10	ga_s2am_ard_3-2-1_51HUB_2019-03-19_final.stac-item
2019-03-22 11:37:10	ga_s2am_ard_3-2-1_51HUB_2019-03-22_final.stac-item
2019-03-29 11:27:12	ga_s2am_ard_3-2-1_51HUB_2019-03-29_final.stac-item
2019-04-01 11:37:12	ga_s2am_ard_3-2-1_51HUB_2019-04-01_final.stac-item
2019-04-21 11:37:15	ga_s2am_ard_3-2-1_51HUB_2019-04-21_final.stac-item
2019-04-28 11:27:16	ga_s2am_ard_3-2-1_51HUB_2019-04-28_final.stac-item
2019-05-01 11:37:16	ga_s2am_ard_3-2-1_51HUB_2019-05-01_final.stac-item
2019-05-18 11:27:16	ga_s2am_ard_3-2-1_51HUB_2019-05-18_final.stac-item
2019-05-31 11:37:15	ga_s2am_ard_3-2-1_51HUB_2019-05-31_final.stac-item
2019-06-20 11:37:16	ga_s2am_ard_3-2-1_51HUB_2019-06-20_final.stac-item
2019-06-27 11:27:17	ga_s2am_ard_3-2-1_51HUB_2019-06-27_final.stac-item
2019-07-30 11:37:17	ga_s2am_ard_3-2-1_51HUB_2019-07-30_final.stac-item
2019-08-06 11:27:16	ga_s2am_ard_3-2-1_51HUB_2019-08-06_final.stac-item
2019-08-09 11:37:16	ga_s2am_ard_3-2-1_51HUB_2019-08-09_final.stac-item
2019-08-19 11:37:15	ga_s2am_ard_3-2-1_51HUB_2019-08-19_final.stac-item
2019-08-29 11:37:13	ga_s2am_ard_3-2-1_51HUB_2019-08-29_final.stac-item
2019-09-05 11:27:10	ga_s2am_ard_3-2-1_51HUB_2019-09-05_final.stac-item
2019-09-25 11:27:13	ga_s2am_ard_3-2-1_51HUB_2019-09-25_final.stac-item
2019-10-05 11:27:13	ga_s2am_ard_3-2-1_51HUB_2019-10-05_final.stac-item
2019-10-08 11:37:15	ga_s2am_ard_3-2-1_51HUB_2019-10-08_final.stac-item
2019-12-24 11:27:06	ga_s2am_ard_3-2-1_51HUB_2019-12-24_final.stac-item
2019-12-27 11:37:01	ga_s2am_ard_3-2-1_51HUB_2019-12-27_final.stac-item
2020-01-16 11:37:06	ga_s2am_ard_3-2-1_51HUB_2020-01-16_final.stac-item
2020-02-05 11:37:04	ga_s2am_ard_3-2-1_51HUB_2020-02-05_final.stac-item
2020-02-25 11:37:07	ga_s2am_ard_3-2-1_51HUB_2020-02-25_final.stac-item
2020-08-23 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-08-23_final
2020-09-02 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-09-02_final
2020-09-12 11:35:52	ga_s2am_ard_3-2-1_51JTH_2020-09-12_final
2020-09-22 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-09-22_final
2020-10-02 11:35:54	ga_s2am_ard_3-2-1_51JTH_2020-10-02_final
2020-10-12 11:35:54	ga_s2am_ard_3-2-1_51JTH_2020-10-12_final
2020-10-22 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-10-22_final
2020-11-01 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-11-01_final
2020-11-11 11:35:52	ga_s2am_ard_3-2-1_51JTH_2020-11-11_final
2020-11-21 11:35:50	ga_s2am_ard_3-2-1_51JTH_2020-11-21_final
2020-12-01 11:35:48	ga_s2am_ard_3-2-1_51JTH_2020-12-01_final
2020-12-11 11:35:44	ga_s2am_ard_3-2-1_51JTH_2020-12-11_final
2020-12-21 11:35:46	ga_s2am_ard_3-2-1_51JTH_2020-12-21_final
2021-01-10 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-01-10_final
2021-01-20 11:35:49	ga_s2am_ard_3-2-1_51JTH_2021-01-20_final
2021-01-30 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-01-30_final
2021-02-09 11:35:47	ga_s2am_ard_3-2-1_51JTH_2021-02-09_final
2021-02-19 11:35:47	ga_s2am_ard_3-2-1_51JTH_2021-02-19_final
2021-03-01 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-03-01_final
2021-03-11 11:35:47	ga_s2am_ard_3-2-1_51JTH_2021-03-11_final
2021-03-21 11:35:47	ga_s2am_ard_3-2-1_51JTH_2021-03-21_final
2021-03-31 11:35:45	ga_s2am_ard_3-2-1_51JTH_2021-03-31_final
2021-04-10 11:35:43	ga_s2am_ard_3-2-1_51JTH_2021-04-10_final
2021-04-20 11:35:43	ga_s2am_ard_3-2-1_51JTH_2021-04-20_final
2023-04-13 11:44:51	ga_s2am_ard_3-2-1_51JUL_2023-04-13_final.stac-item
2023-05-13 11:44:51	ga_s2am_ard_3-2-1_51JUL_2023-05-13_final.stac-item
2023-05-23 11:44:54	ga_s2am_ard_3-2-1_51JUL_2023-05-23_final.stac-item
2023-08-28 11:35:37	ga_s2am_ard_3-2-1_51JUJ_2023-08-28_final.stac-item
2023-09-10 11:44:56	ga_s2am_ard_3-2-1_51JUL_2023-09-10_final.stac-item
2023-10-10 11:44:50	ga_s2am_ard_3-2-1_51JUL_2023-10-10_final.stac-item
2023-11-26 11:34:50	ga_s2am_ard_3-2-1_51JUL_2023-11-26_final.stac-item
2023-11-26 11:34:56	ga_s2am_ard_3-2-1_51JUL_2023-11-26_final.stac-item
2023-12-06 11:35:34	ga_s2am_ard_3-2-1_51JTJ_2023-12-06_final.stac-item
2023-12-06 11:35:34	ga_s2am_ard_3-2-1_51JTH_2023-12-06_final.stac-item
2023-12-29 11:44:48	ga_s2am_ard_3-2-1_51JUL_2023-12-29_final.stac-item
2024-01-05 11:35:37	ga_s2am_ard_3-2-1_51JUH_2024-01-05_final.stac-item
2024-01-05 11:35:39	ga_s2am_ard_3-2-1_51JTH_2024-01-05_final.stac-item
2024-02-07 11:44:47	ga_s2am_ard_3-2-1_51JUL_2024-02-07_final.stac-item
2024-02-27 11:44:50	ga_s2am_ard_3-2-1_51JUL_2024-02-27_final.stac-item
2024-03-28 11:44:50	ga_s2am_ard_3-2-1_51JTL_2024-03-28_final.stac-item
2024-04-04 11:36:19	ga_s2am_ard_3-2-1_51JUF_2024-04-04_final.stac-item
2024-04-11 11:27:12	ga_s2am_ard_3-2-1_51HUB_2024-04-11_final.stac-item
2024-04-14 11:37:14	ga_s2am_ard_3-2-1_51HUB_2024-04-14_final.stac-item
2024-04-21 11:27:16	ga_s2am_ard_3-2-1_51HUB_2024-04-21_final.stac-item
2024-04-24 11:37:11	ga_s2am_ard_3-2-1_51HUB_2024-04-24_final.stac-item
2024-04-24 11:37:17	ga_s2am_ard_3-2-1_51HUB_2024-04-24_final.stac-item
2024-05-01 11:27:13	ga_s2am_ard_3-2-1_51HUB_2024-05-01_final.stac-item
2024-05-04 11:37:15	ga_s2am_ard_3-2-1_51HUB_2024-05-04_final.stac-item
2024-05-14 11:37:15	ga_s2am_ard_3-2-1_51HUB_2024-05-14_nrt.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