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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHN_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHQ_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGM_2015-10-21_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HLK_2016-04-22_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-06-14_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLK_2016-12-08_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-03-14_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-04-03_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-04-10_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLK_2017-04-27_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-05-30_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-06-19_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-06-29_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMH_2017-10-24_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMK_2017-12-23_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGJ_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KGQ_2018-05-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHR_2018-05-15_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-05-28_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-09-02_final
2018-09-15 12:13:40	ga_s2am_ard_3-2-1_49KHR_2018-09-15_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KGQ_2018-09-25_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHP_2018-09-25_final
2019-01-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-01-13_final
2019-01-13 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-13_final
2019-02-13 11:46:37	ga_s2am_ard_3-2-1_50HMK_2019-02-13_final
2019-02-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-02-23_final.stac-item
2019-03-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-11_final
2019-03-15 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-03-15_final
2019-03-21 12:04:55	ga_s2am_ard_3-2-1_49JHM_2019-03-21_final
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final
2019-04-30 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-04-30_final.stac-item
2019-06-09 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-06-09_final
2019-06-12 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-12_final
2019-09-04 11:57:09	ga_s2am_ard_3-2-1_50HLH_2019-09-04_final
2019-09-17 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-09-17_final
2019-09-17 12:04:56	ga_s2am_ard_3-2-1_49JHM_2019-09-17_final
2019-09-20 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-09-20_final
2019-10-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-10-10_final
2020-01-09 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2020-01-09_final
2020-01-12 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-01-12_final
2020-01-29 11:47:17	ga_s2am_ard_3-2-1_50HMG_2020-01-29_final.stac-item
2020-02-01 11:56:32	ga_s2am_ard_3-2-1_50HLK_2020-02-01_final
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final
2020-03-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-22_final
2020-04-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2020-04-04_final.stac-item
2020-04-11 11:56:35	ga_s2am_ard_3-2-1_50HMK_2020-04-11_final
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final
2020-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-05-04_final
2020-06-16 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-06-16_final
2020-06-16 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-06-16_final
2020-06-27 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-06-27_final.stac-item
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-16_final
2020-08-02 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-02_final
2020-09-11 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2020-09-11_final
2020-09-18 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-09-18_final
2020-09-18 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-09-18_final
2020-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-08_final
2020-11-23 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-11-23_final
2020-11-24 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2020-11-24_final
2021-02-22 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-02-22_final
2021-04-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2021-04-22_final
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-07-11_final
2021-09-06 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-09-06_final
2021-09-19 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-19_final
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-03-08_final.stac-item
2022-03-15 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2022-03-15_final
2022-04-08 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-04-08_final
2022-04-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2022-04-27_final
2022-05-11 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-05-11_final
2022-06-06 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-06-06_final
2022-06-13 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-06-13_final
2022-07-06 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-06_final
2022-09-21 12:04:41	ga_s2am_ard_3-2-1_49KHP_2022-09-21_final.stac-item
2022-10-11 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-10-11_final.stac-item
2023-01-13 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2023-01-13_final.stac-item
2023-01-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-01-13_final.stac-item
2023-03-04 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-03-04_final.stac-item
2023-03-13 12:15:07	ga_s2am_ard_3-2-1_49JGL_2023-03-13_final.stac-item
2023-04-02 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-02_final.stac-item
2023-06-25 11:57:09	ga_s2am_ard_3-2-1_50HMH_2023-06-25_final.stac-item
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final.stac-item
2023-07-05 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-05_final.stac-item
2023-09-16 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-09-16_final.stac-item
2023-09-26 12:05:31	ga_s2am_ard_3-2-1_49JGK_2023-09-26_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-11-25_final.stac-item
2023-12-19 11:46:37	ga_s2am_ard_3-2-1_50HMK_2023-12-19_final.stac-item
2024-02-26 12:13:39	ga_s2am_ard_3-2-1_49KHS_2024-02-26_final.stac-item
2024-03-11 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2024-03-11_final.stac-item
2024-04-17 11:47:13	ga_s2am_ard_3-2-1_50HMH_2024-04-17_final.stac-item
2024-04-20 11:57:09	ga_s2am_ard_3-2-1_50HMH_2024-04-20_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