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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGP_2016-03-16_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-08-06_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-08-13_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50HLJ_2016-08-30_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2016-09-12_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-21_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-01-03_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JHM_2017-03-01_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQH_2017-05-31_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGL_2017-07-12_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50HLK_2017-07-26_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-09-07_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HNK_2017-10-11_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-17_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGQ_2018-05-15_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGN_2018-06-24_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-09-12_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPH_2018-09-23_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-10-12_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final
2018-11-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-11-24_final
2019-01-14 11:46:33	ga_s2am_ard_3-2-1_50HNK_2019-01-14_final
2019-01-20 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-01-20_final
2019-02-10 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-02-10_final
2019-02-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-02-16_final
2019-02-20 11:37:17	ga_s2am_ard_3-2-1_50HPG_2019-02-20_final.stac-item
2019-03-15 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-03-15_final.stac-item
2019-04-20 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-04-20_final
2019-06-12 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-06-12_final
2019-07-20 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-07-20_final.stac-item
2019-07-29 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-29_final
2019-08-02 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-08-02_final
2019-08-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-08-08_final.stac-item
2019-08-22 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-08-22_final
2019-10-07 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-10-07_final
2019-10-14 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-14_final
2019-10-21 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-21_final
2019-10-27 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-11-30 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-11-30_final
2019-12-10 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-12-10_final
2019-12-26 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-26_final
2019-12-29 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-12-29_final
2020-01-25 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-01-25_final
2020-01-26 11:37:00	ga_s2am_ard_3-2-1_50HPH_2020-01-26_final
2020-03-09 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-09_final
2020-04-08 11:47:23	ga_s2am_ard_3-2-1_50HNG_2020-04-08_final.stac-item
2020-05-08 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-05-08_final.stac-item
2020-05-14 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-05-14_final
2020-05-17 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-05-17_final
2020-06-23 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-06-23_final
2020-06-24 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-24_final.stac-item
2020-07-06 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-07-06_final
2020-07-17 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-07-17_final.stac-item
2020-10-28 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-10-28_final
2020-10-28 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-10-28_final.stac-item
2020-12-04 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2020-12-04_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2021-01-13 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-01-13_final
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final
2021-03-07 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-03-07_final
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final
2021-04-06 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-05-03 11:47:00	ga_s2am_ard_3-2-1_50HPH_2021-05-03_final
2021-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-05-12_final
2021-05-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-05-22_final
2021-07-25 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-07-25_final
2021-07-28 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-12-08 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-12-08_final
2022-05-25 11:37:10	ga_s2am_ard_3-2-1_50HQH_2022-05-25_final
2022-06-27 11:46:46	ga_s2am_ard_3-2-1_50HPK_2022-06-27_final
2022-07-24 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-07-24_final
2022-08-12 12:04:58	ga_s2am_ard_3-2-1_49JGN_2022-08-12_final
2022-09-02 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-09-02_final.stac-item
2022-10-15 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-10-15_final.stac-item
2022-11-21 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-11-21_final.stac-item
2022-12-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2022-12-10_final.stac-item
2022-12-13 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-13_final.stac-item
2022-12-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2022-12-20_final.stac-item
2022-12-23 12:14:54	ga_s2am_ard_3-2-1_49JGM_2022-12-23_final.stac-item
2023-02-02 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-02_final.stac-item
2023-02-18 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2023-02-18_final.stac-item
2023-03-04 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-04_final.stac-item
2023-04-20 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-04-20_final.stac-item
2023-04-23 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-04-23_final.stac-item
2023-05-06 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-05-06_final.stac-item
2023-05-19 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-05-19_final.stac-item
2023-05-20 11:36:40	ga_s2am_ard_3-2-1_50HPK_2023-05-20_final.stac-item
2023-07-05 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-05_final.stac-item
2023-07-08 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-07-08_final.stac-item
2023-07-11 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2023-07-11_final.stac-item
2023-08-04 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-04_final.stac-item
2023-09-16 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-09-16_final.stac-item
2023-10-20 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-10-20_final.stac-item
2023-10-29 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-10-29_final.stac-item
2023-11-06 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-11-06_final.stac-item
2024-03-01 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-01_final.stac-item
2024-04-16 12:14:59	ga_s2am_ard_3-2-1_49JGM_2024-04-16_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