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_50JKN_2015-10-08_final.stac-item
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2015-10-22_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HLK_2015-12-04_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGK_2015-12-17_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2016-06-24_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKN_2016-07-14_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-02_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPG_2016-11-22_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMG_2017-01-24_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNG_2017-02-13_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPH_2017-05-04_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HMH_2017-05-24_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KGP_2017-12-19_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQH_2018-01-26_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMH_2018-02-28_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-03-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKN_2018-04-25_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPH_2018-05-16_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HQH_2018-05-29_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQH_2018-06-28_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKN_2018-07-01_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-07-15_final
2018-11-15 11:46:28	ga_s2am_ard_3-2-1_50HPK_2018-11-15_final
2018-12-08 11:55:51	ga_s2am_ard_3-2-1_50JKN_2018-12-08_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2019-01-01 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2019-01-01_final
2019-03-02 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2019-03-02_final
2019-03-24 12:14:25	ga_s2am_ard_3-2-1_49KGP_2019-03-24_final
2019-04-10 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-04-10_final
2019-07-06 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-06_final
2019-07-19 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-07-19_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-10-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-10-17_final
2019-10-21 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-10-21_final
2019-10-27 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-10-27_final
2019-10-28 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-10-28_final
2019-10-30 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-10-30_final
2019-11-06 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-11-06_final
2019-12-13 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-12-13_final
2019-12-30 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-12-30_final
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-02-27 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2020-02-27_final
2020-03-08 12:14:23	ga_s2am_ard_3-2-1_49KGP_2020-03-08_final
2020-04-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-04-04_final
2020-05-27 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-05-27_final
2020-06-07 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-06-07_final
2020-06-16 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-06-16_final.stac-item
2020-07-03 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-03_final
2020-07-24 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-07-24_final
2020-07-24 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-07-24_final
2020-07-30 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-07-30_final
2020-09-04 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-04_final
2020-09-28 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-09-28_final
2020-11-07 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-11-07_final.stac-item
2020-11-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2020-11-20_final
2020-12-07 11:55:57	ga_s2am_ard_3-2-1_50JKN_2020-12-07_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_49KHP_2020-12-20_final
2021-01-03 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-03_final
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final
2021-03-20 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-20_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final
2021-09-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-09-06_final
2021-10-03 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-03_final.stac-item
2021-10-16 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-16_final
2021-11-08 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-11-08_final
2022-01-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-01-18_final
2022-02-04 11:37:06	ga_s2am_ard_3-2-1_50HPH_2022-02-04_final
2022-02-16 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-02-16_final
2022-02-20 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-02-20_final
2022-04-27 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2022-04-27_final
2022-05-01 11:56:04	ga_s2am_ard_3-2-1_50JKN_2022-05-01_final
2022-05-14 12:05:59	ga_s2am_ard_3-2-1_50JKN_2022-05-14_final
2022-08-09 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-08-09_final
2022-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-11-21_final.stac-item
2022-12-24 11:46:32	ga_s2am_ard_3-2-1_50HPK_2022-12-24_final.stac-item
2022-12-24 11:47:00	ga_s2am_ard_3-2-1_50HPH_2022-12-24_final.stac-item
2022-12-31 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2022-12-31_final.stac-item
2023-01-12 12:14:39	ga_s2am_ard_3-2-1_49JGN_2023-01-12_final.stac-item
2023-01-30 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-30_final.stac-item
2023-02-02 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-02-02_final.stac-item
2023-03-24 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-03-24_final.stac-item
2023-04-06 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-04-06_final.stac-item
2023-04-12 12:14:27	ga_s2am_ard_3-2-1_49KGP_2023-04-12_final.stac-item
2023-04-23 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-04-23_final.stac-item
2023-04-23 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-23_final.stac-item
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-06-28_final.stac-item
2023-07-15 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-07-15_final.stac-item
2023-10-20 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-10-20_final.stac-item
2023-10-30 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-10-30_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2024-01-01 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-01-01_final.stac-item
2024-01-31 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-01-31_final.stac-item
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2024-02-03_final.stac-item
2024-02-17 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2024-02-17_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