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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHN_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLS_2015-12-17_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHN_2016-02-05_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLR_2016-04-15_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-06-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JLS_2016-07-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-08-13_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JLR_2016-08-23_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKR_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLR_2016-09-02_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLS_2016-09-19_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-10-12_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLR_2016-11-11_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMG_2016-11-18_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JLR_2016-12-21_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLR_2017-01-07_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JHN_2017-02-02_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLR_2017-03-31_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLS_2017-03-31_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JLR_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JLS_2017-04-20_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLR_2017-04-30_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-06-22_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2017-06-29_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHS_2017-09-27_final.stac-item
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JLS_2017-10-04_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JLR_2017-11-13_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQH_2017-11-20_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JKQ_2017-12-06_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JLS_2018-06-11_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLS_2018-06-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLT_2018-07-21_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-09-06_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLT_2018-10-19_final
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final
2018-12-31 12:05:02	ga_s2am_ard_3-2-1_50JLR_2018-12-31_final
2019-01-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2019-01-10_final
2019-01-20 12:05:04	ga_s2am_ard_3-2-1_50JLR_2019-01-20_final
2019-01-27 11:55:09	ga_s2am_ard_3-2-1_50JLR_2019-01-27_final
2019-02-12 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-02-12_final
2019-02-16 11:55:09	ga_s2am_ard_3-2-1_50JLR_2019-02-16_final
2019-02-19 12:05:04	ga_s2am_ard_3-2-1_50JLR_2019-02-19_final
2019-04-03 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-04-03_final
2019-04-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-04-20_final
2019-04-23 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-04-23_final
2019-05-07 11:55:02	ga_s2am_ard_3-2-1_50JLS_2019-05-07_final
2019-05-17 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-05-17_final
2019-05-23 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-05-23_final
2019-06-02 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-02_final
2019-06-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-06-29_final.stac-item
2019-07-12 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-12_final
2019-07-29 12:05:13	ga_s2am_ard_3-2-1_49JFM_2019-07-29_final
2019-08-05 11:55:02	ga_s2am_ard_3-2-1_50JLS_2019-08-05_final
2019-08-08 12:04:58	ga_s2am_ard_3-2-1_50JLS_2019-08-08_final
2019-08-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-08-11_final
2019-08-15 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-08-15_final
2019-08-21 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-08-21_final
2019-08-25 11:55:00	ga_s2am_ard_3-2-1_50JLS_2019-08-25_final
2019-09-04 11:54:58	ga_s2am_ard_3-2-1_50JLS_2019-09-04_final
2019-09-10 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-09-10_final
2019-09-20 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-09-20_final
2019-09-30 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-09-30_final
2019-10-10 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-10-10_final
2019-10-27 12:05:15	ga_s2am_ard_3-2-1_50JLR_2019-10-27_final
2019-10-30 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-30_final
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-12-09 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-12-09_final
2020-03-05 12:05:04	ga_s2am_ard_3-2-1_50JLR_2020-03-05_final
2020-03-08 12:14:27	ga_s2am_ard_3-2-1_49JHN_2020-03-08_final
2020-05-14 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-05-14_final
2020-06-03 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-06-03_final
2020-06-10 11:55:04	ga_s2am_ard_3-2-1_50JLS_2020-06-10_final
2020-07-03 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-07-03_final
2020-07-13 12:05:12	ga_s2am_ard_3-2-1_50JLR_2020-07-13_final
2020-07-16 12:13:44	ga_s2am_ard_3-2-1_49KHS_2020-07-16_final.stac-item
2020-07-20 11:55:03	ga_s2am_ard_3-2-1_50JLS_2020-07-20_final
2020-07-30 11:55:04	ga_s2am_ard_3-2-1_50JLS_2020-07-30_final
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-19_final
2021-02-19 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-02-19_final.stac-item
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-19 12:05:10	ga_s2am_ard_3-2-1_50JKR_2021-04-19_final
2021-08-10 12:15:22	ga_s2am_ard_3-2-1_49JGK_2021-08-10_final
2021-09-13 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-09-13_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-04-14 12:05:06	ga_s2am_ard_3-2-1_50JLR_2022-04-14_final
2022-05-04 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-05-04_final
2022-05-24 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-06-03 12:05:16	ga_s2am_ard_3-2-1_50JLR_2022-06-03_final
2022-06-20 11:55:10	ga_s2am_ard_3-2-1_50JLS_2022-06-20_final
2022-09-14 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-09-14_final.stac-item
2022-10-18 11:55:01	ga_s2am_ard_3-2-1_50JLS_2022-10-18_final.stac-item
2023-02-08 12:05:07	ga_s2am_ard_3-2-1_50JLR_2023-02-08_final.stac-item
2023-06-28 12:04:51	ga_s2am_ard_3-2-1_50JLT_2023-06-28_final.stac-item
2023-06-28 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-06-28_final.stac-item
2023-07-25 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-07-25_final.stac-item
2023-08-14 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-08-14_final.stac-item
2023-08-24 11:55:19	ga_s2am_ard_3-2-1_50JLR_2023-08-24_final.stac-item
2023-09-16 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-09-16_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