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
2015-08-04 11:12:46	ga_s2am_ard_3-2-1_52KBU_2015-08-04_final.stac-item
2015-08-14 11:12:47	ga_s2am_ard_3-2-1_52KBU_2015-08-14_final.stac-item
2015-09-13 11:13:11	ga_s2am_ard_3-2-1_51KZP_2015-09-13_final.stac-item
2015-10-03 11:13:11	ga_s2am_ard_3-2-1_52KBU_2015-10-03_final.stac-item
2015-10-03 11:13:11	ga_s2am_ard_3-2-1_51KZP_2015-10-03_final.stac-item
2015-11-22 11:12:12	ga_s2am_ard_3-2-1_51KZP_2015-11-22_final.stac-item
2016-01-01 11:14:13	ga_s2am_ard_3-2-1_52KBU_2016-01-01_final.stac-item
2016-01-01 11:14:13	ga_s2am_ard_3-2-1_51KZP_2016-01-01_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_51KZP_2016-01-21_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KBU_2016-01-31_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_51KZP_2016-01-31_final.stac-item
2016-02-20 11:12:10	ga_s2am_ard_3-2-1_52KBU_2016-02-20_final.stac-item
2016-02-20 11:12:10	ga_s2am_ard_3-2-1_51KZP_2016-02-20_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_51KZP_2016-04-20_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KBU_2016-04-30_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KBU_2016-05-20_final.stac-item
2016-06-29 11:12:16	ga_s2am_ard_3-2-1_51KZP_2016-06-29_final.stac-item
2016-07-19 11:12:19	ga_s2am_ard_3-2-1_52KBU_2016-07-19_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_51KZP_2016-08-08_final.stac-item
2016-09-17 11:12:10	ga_s2am_ard_3-2-1_51KZP_2016-09-17_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_52KBE_2016-10-10_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51KZP_2018-06-19_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51KZP_2018-07-09_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_51KZP_2018-07-19_final
2020-08-30 11:21:29	ga_s2am_ard_3-2-1_52LBK_2020-08-30_final
2020-09-09 11:21:28	ga_s2am_ard_3-2-1_52LBK_2020-09-09_final
2020-09-16 11:14:54	ga_s2am_ard_3-2-1_52JCR_2020-09-16_final
2020-09-19 11:21:29	ga_s2am_ard_3-2-1_52LBK_2020-09-19_final
2020-09-26 11:14:55	ga_s2am_ard_3-2-1_52JCR_2020-09-26_final
2020-09-29 11:21:30	ga_s2am_ard_3-2-1_52LBK_2020-09-29_final
2020-10-09 11:21:30	ga_s2am_ard_3-2-1_52LBK_2020-10-09_final
2020-10-16 11:14:55	ga_s2am_ard_3-2-1_52JCR_2020-10-16_final
2020-10-19 11:21:30	ga_s2am_ard_3-2-1_52LBK_2020-10-19_final
2020-10-26 11:14:55	ga_s2am_ard_3-2-1_52JCR_2020-10-26_final
2020-10-29 11:21:29	ga_s2am_ard_3-2-1_52LBK_2020-10-29_final
2020-11-05 11:14:54	ga_s2am_ard_3-2-1_52JCR_2020-11-05_final
2020-11-08 11:21:28	ga_s2am_ard_3-2-1_52LBK_2020-11-08_final
2020-11-15 11:14:53	ga_s2am_ard_3-2-1_52JCR_2020-11-15_final
2020-11-18 11:21:27	ga_s2am_ard_3-2-1_52LBK_2020-11-18_final
2020-11-25 11:14:51	ga_s2am_ard_3-2-1_52JCR_2020-11-25_final
2020-11-28 11:21:25	ga_s2am_ard_3-2-1_52LBK_2020-11-28_final
2020-12-05 11:14:48	ga_s2am_ard_3-2-1_52JCR_2020-12-05_final
2020-12-08 11:21:21	ga_s2am_ard_3-2-1_52LBK_2020-12-08_final
2020-12-15 11:14:47	ga_s2am_ard_3-2-1_52JCR_2020-12-15_final
2020-12-18 11:21:22	ga_s2am_ard_3-2-1_52LBK_2020-12-18_final
2020-12-25 11:14:49	ga_s2am_ard_3-2-1_52JCR_2020-12-25_final
2020-12-28 11:21:17	ga_s2am_ard_3-2-1_52LBK_2020-12-28_final
2020-12-28 11:21:24	ga_s2am_ard_3-2-1_52LBK_2020-12-28_final
2021-01-04 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-01-04_final
2021-01-07 11:21:25	ga_s2am_ard_3-2-1_52LBK_2021-01-07_final
2021-01-14 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-01-14_final
2021-01-17 11:21:25	ga_s2am_ard_3-2-1_52LBK_2021-01-17_final
2021-01-24 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-01-24_final
2021-01-27 11:21:25	ga_s2am_ard_3-2-1_52LBK_2021-01-27_final
2021-02-03 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-02-03_final
2021-02-06 11:21:23	ga_s2am_ard_3-2-1_52LBK_2021-02-06_final
2021-02-13 11:14:48	ga_s2am_ard_3-2-1_52JCR_2021-02-13_final
2021-02-16 11:21:23	ga_s2am_ard_3-2-1_52LBK_2021-02-16_final
2021-02-23 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-02-23_final
2021-02-26 11:21:24	ga_s2am_ard_3-2-1_52LBK_2021-02-26_final
2021-03-05 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-03-05_final
2021-03-08 11:21:24	ga_s2am_ard_3-2-1_52LBK_2021-03-08_final
2021-03-15 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-03-15_final
2021-03-18 11:21:23	ga_s2am_ard_3-2-1_52LBK_2021-03-18_final
2021-03-25 11:14:48	ga_s2am_ard_3-2-1_52JCR_2021-03-25_final
2021-03-28 11:21:22	ga_s2am_ard_3-2-1_52LBK_2021-03-28_final
2021-04-04 11:14:46	ga_s2am_ard_3-2-1_52JCR_2021-04-04_final
2021-04-07 11:21:20	ga_s2am_ard_3-2-1_52LBK_2021-04-07_final
2021-04-14 11:14:44	ga_s2am_ard_3-2-1_52JCR_2021-04-14_final
2021-04-17 11:21:18	ga_s2am_ard_3-2-1_52LBK_2021-04-17_final
2021-04-24 11:14:45	ga_s2am_ard_3-2-1_52JCR_2021-04-24_final
2021-04-27 11:21:21	ga_s2am_ard_3-2-1_52LBK_2021-04-27_final
2021-05-04 11:14:48	ga_s2am_ard_3-2-1_52JCR_2021-05-04_final
2021-05-14 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-05-14_final
2021-05-24 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-05-24_final
2021-06-03 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-06-03_final
2021-06-13 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-06-13_final
2021-06-23 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-06-23_final
2021-07-03 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-07-03_final
2021-07-13 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-07-13_final
2021-07-23 11:14:53	ga_s2am_ard_3-2-1_52JCR_2021-07-23_final
2021-08-02 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-08-02_final
2021-08-12 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-08-12_final
2021-08-22 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-08-22_final
2021-09-01 11:14:51	ga_s2am_ard_3-2-1_52JCR_2021-09-01_final
2021-09-11 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-09-11_final
2021-09-21 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-09-21_final
2021-10-01 11:14:54	ga_s2am_ard_3-2-1_52JCR_2021-10-01_final
2021-10-11 11:14:55	ga_s2am_ard_3-2-1_52JCR_2021-10-11_final
2021-10-21 11:14:55	ga_s2am_ard_3-2-1_52JCR_2021-10-21_final
2021-10-31 11:14:54	ga_s2am_ard_3-2-1_52JCR_2021-10-31_final
2021-11-10 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-11-10_final
2021-11-20 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-11-20_final
2021-11-30 11:14:49	ga_s2am_ard_3-2-1_52JCR_2021-11-30_final
2021-12-10 11:14:48	ga_s2am_ard_3-2-1_52JCR_2021-12-10_final
2021-12-20 11:14:50	ga_s2am_ard_3-2-1_52JCR_2021-12-20_final
2021-12-30 11:14:51	ga_s2am_ard_3-2-1_52JCR_2021-12-30_final
2022-01-09 11:14:51	ga_s2am_ard_3-2-1_52JCR_2022-01-09_final
2022-12-25 11:14:41	ga_s2am_ard_3-2-1_52JCR_2022-12-25_final.stac-item
2022-12-25 11:14:42	ga_s2am_ard_3-2-1_52JBR_2022-12-25_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