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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLL_2015-12-04_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHR_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLH_2016-01-03_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLP_2016-02-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHP_2016-04-15_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2016-04-15_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMH_2016-04-29_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JFM_2016-05-28_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-06-14_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMH_2016-10-26_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-11_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLJ_2016-11-28_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQG_2017-04-21_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-02-27_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMH_2018-03-13_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKP_2018-04-05_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-04-28_final.stac-item
2018-11-08 11:57:01	ga_s2am_ard_3-2-1_50HMH_2018-11-08_final
2018-12-01 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-01_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2019-01-07 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-07_final
2019-01-23 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-01-23_final
2019-01-27 11:56:26	ga_s2am_ard_3-2-1_50HNK_2019-01-27_final
2019-02-03 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-02-03_final
2019-03-12 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-03-12_final.stac-item
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-03-31 12:05:41	ga_s2am_ard_3-2-1_50JKP_2019-03-31_final
2019-04-07 11:56:31	ga_s2am_ard_3-2-1_50HNK_2019-04-07_final
2019-04-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-04-20_final
2019-05-11 11:37:21	ga_s2am_ard_3-2-1_50HQG_2019-05-11_final.stac-item
2019-06-09 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final.stac-item
2019-06-16 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-06-16_final
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final
2019-07-20 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-07-20_final.stac-item
2019-08-08 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-08-08_final
2019-09-10 12:13:53	ga_s2am_ard_3-2-1_49KHR_2019-09-10_final
2019-10-14 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-14_final
2019-10-31 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-31_final
2019-11-17 11:37:19	ga_s2am_ard_3-2-1_50HQG_2019-11-17_final.stac-item
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final
2020-02-11 11:56:15	ga_s2am_ard_3-2-1_50JML_2020-02-11_final
2020-02-28 11:46:29	ga_s2am_ard_3-2-1_50HPK_2020-02-28_final
2020-03-02 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-03-02_final
2020-03-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2020-03-19_final
2020-04-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-04-04_final
2020-05-25 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-05-25_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-06-16 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-16_final
2020-08-12 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-08-12_final
2020-09-08 11:56:03	ga_s2am_ard_3-2-1_50JKN_2020-09-08_final
2020-09-28 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-09-28_final
2020-10-05 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-10-05_final
2020-12-10 12:03:56	ga_s2am_ard_3-2-1_49KHR_2020-12-10_final
2020-12-10 12:06:01	ga_s2am_ard_3-2-1_50JLM_2020-12-10_final
2020-12-17 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-17_final
2021-01-06 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-06_final
2021-01-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-19_final
2021-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-02-11_final
2021-02-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-15_final
2021-04-30 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2021-04-30_final
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final
2021-09-03 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-09-03_final
2021-09-30 11:46:38	ga_s2am_ard_3-2-1_50HPK_2021-09-30_final
2021-10-03 11:55:58	ga_s2am_ard_3-2-1_50JMN_2021-10-03_final
2021-11-25 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-11-25_final
2021-12-09 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-12-09_final
2022-01-24 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-01-24_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-04-08 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-04-08_final
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final
2022-06-10 11:56:02	ga_s2am_ard_3-2-1_50JMN_2022-06-10_final
2022-06-23 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-06-23_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-08-13 11:37:29	ga_s2am_ard_3-2-1_50HQG_2022-08-13_final.stac-item
2022-09-01 12:05:50	ga_s2am_ard_3-2-1_50JLP_2022-09-01_final.stac-item
2022-09-11 12:05:51	ga_s2am_ard_3-2-1_50JKP_2022-09-11_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-10-01 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-10-01_final.stac-item
2022-10-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-10-15_final.stac-item
2022-10-15 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-10-15_final.stac-item
2022-11-13 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-11-13_final.stac-item
2022-11-21 11:37:18	ga_s2am_ard_3-2-1_50HQG_2022-11-21_final.stac-item
2023-08-18 11:37:09	ga_s2am_ard_3-2-1_50HQH_2023-08-18_final.stac-item
2023-10-07 11:37:18	ga_s2am_ard_3-2-1_50HQG_2023-10-07_final.stac-item
2023-10-13 11:56:20	ga_s2am_ard_3-2-1_50JML_2023-10-13_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-11-02_final.stac-item
2023-11-19 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-11-19_final.stac-item
2023-12-12 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2023-12-12_final.stac-item
2023-12-19 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-12-19_final.stac-item
2024-01-21 11:57:01	ga_s2am_ard_3-2-1_50HLH_2024-01-21_final.stac-item
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_49KHR_2024-02-26_final.stac-item
2024-02-26 12:15:09	ga_s2am_ard_3-2-1_49JGL_2024-02-26_final.stac-item
2024-02-27 11:47:09	ga_s2am_ard_3-2-1_50HMH_2024-02-27_final.stac-item
2024-03-04 12:03:59	ga_s2am_ard_3-2-1_49KHR_2024-03-04_final.stac-item
2024-03-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-18_final.stac-item
2024-04-14 11:37:23	ga_s2am_ard_3-2-1_50HPG_2024-04-14_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