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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMJ_2015-12-21_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HNK_2016-05-12_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNK_2016-09-06_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKP_2016-12-11_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JKN_2017-04-07_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKP_2017-06-19_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQH_2017-07-10_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGM_2017-09-27_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HNG_2017-09-28_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HQJ_2017-10-11_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKN_2018-01-25_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMJ_2018-02-01_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HPJ_2018-03-10_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HNG_2018-06-08_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-06-17_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKP_2018-06-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLG_2018-07-31_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMJ_2018-08-07_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQG_2018-09-13_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-12_final
2018-12-21 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-21_final
2018-12-28 11:55:39	ga_s2am_ard_3-2-1_50JKP_2018-12-28_final
2019-01-04 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-01-04_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-01-10 12:05:51	ga_s2am_ard_3-2-1_50JKN_2019-01-10_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-02_final
2019-02-26 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-02-26_final
2019-03-25 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-03-25_final.stac-item
2019-03-31 12:05:41	ga_s2am_ard_3-2-1_50JKP_2019-03-31_final
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-04-24 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-04-24_final
2019-04-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-04-24_final.stac-item
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final
2019-08-25 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-08-25_final
2019-10-01 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-10-01_final
2019-10-31 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-31_final
2019-11-13 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-13_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2019-12-03 11:57:04	ga_s2am_ard_3-2-1_50HMH_2019-12-03_final
2019-12-03 11:57:19	ga_s2am_ard_3-2-1_50HMG_2019-12-03_final.stac-item
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-01-12 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-12_final
2020-01-25 12:05:49	ga_s2am_ard_3-2-1_50JKN_2020-01-25_final
2020-02-11 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-11_final
2020-02-11 11:57:02	ga_s2am_ard_3-2-1_50HLH_2020-02-11_final
2020-03-06 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-06_final.stac-item
2020-05-05 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2020-05-05_final
2020-05-21 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-05-21_final
2020-06-07 11:47:32	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-24_final.stac-item
2020-07-27 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-07-27_final
2020-08-29 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-08-29_final
2020-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-10-08_final
2020-10-25 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-10-25_final.stac-item
2021-01-06 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-06_final.stac-item
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final
2021-02-19 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-02-19_final
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final
2021-03-30 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-03-30_final
2021-04-29 12:03:56	ga_s2am_ard_3-2-1_49KHR_2021-04-29_final
2021-04-30 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-04-30_final
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final
2021-06-05 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-06-05_final
2021-06-05 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-05_final.stac-item
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final
2021-07-15 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-15_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final
2021-08-11 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-11_final
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-10-07 11:37:18	ga_s2am_ard_3-2-1_50HPH_2021-10-07_final
2021-10-26 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-26_final
2021-11-08 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-11-08_final
2021-11-25 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-11-25_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-02-24 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2022-02-24_final
2022-02-24 11:37:05	ga_s2am_ard_3-2-1_50HQH_2022-02-24_final
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final
2022-06-03 12:05:49	ga_s2am_ard_3-2-1_50JKP_2022-06-03_final
2022-06-23 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-10-15 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-10-15_final.stac-item
2022-11-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-11-04_final.stac-item
2023-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-02-05_final.stac-item
2023-03-30 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2023-03-30_final.stac-item
2023-04-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-13_final.stac-item
2023-04-20 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-20_final.stac-item
2023-05-29 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-05-29_final.stac-item
2023-06-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-06-01_final.stac-item
2023-06-02 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-02_final.stac-item
2023-06-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-06-19_final.stac-item
2023-06-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-28_final.stac-item
2023-07-15 11:56:04	ga_s2am_ard_3-2-1_50JKN_2023-07-15_final.stac-item
2024-01-24 12:05:34	ga_s2am_ard_3-2-1_50JKP_2024-01-24_final.stac-item
2024-03-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2024-03-14_final.stac-item
2024-04-24 11:36:40	ga_s2am_ard_3-2-1_50HPK_2024-04-24_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