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_50HNJ_2015-12-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKT_2016-01-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLK_2016-04-02_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMH_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2016-06-14_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-06-17_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-06-17_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-05_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMK_2017-01-24_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNJ_2017-01-24_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNK_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HNK_2017-02-03_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JKP_2017-04-27_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-05-30_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HNK_2017-07-16_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HQJ_2017-10-11_final
2017-10-14 11:56:06	ga_s2am_ard_3-2-1_50HMK_2017-10-14_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLH_2017-10-24_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNH_2018-01-19_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMJ_2018-02-28_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMH_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-18_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-04-28_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLM_2018-05-02_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-09-12_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMH_2018-10-29_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2018-12-08 11:56:32	ga_s2am_ard_3-2-1_50HLK_2018-12-08_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2019-02-02_final
2019-02-06 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-02-06_final
2019-02-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-02-23_final
2019-03-01 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-01_final
2019-04-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-04-03_final
2019-04-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-04-03_final
2019-04-07 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-04-07_final
2019-04-10 12:05:53	ga_s2am_ard_3-2-1_50JLN_2019-04-10_final
2019-05-03 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-03_final.stac-item
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final
2019-06-09 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-06-09_final
2019-09-07 12:05:54	ga_s2am_ard_3-2-1_50JKN_2019-09-07_final
2019-10-11 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-10-11_final
2019-10-21 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-21_final
2019-12-13 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-12-13_final
2020-01-18 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-18_final
2020-02-08 11:47:06	ga_s2am_ard_3-2-1_50HLH_2020-02-08_final
2020-04-04 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2020-04-04_final
2020-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-17_final
2020-05-27 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-27_final
2020-06-10 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-06-10_final
2020-07-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-07-26_final
2020-07-26 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-07-26_final
2020-07-26 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-07-26_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-10-18 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-18_final
2020-12-27 11:57:09	ga_s2am_ard_3-2-1_50HLH_2020-12-27_final
2021-01-06 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-06_final.stac-item
2021-01-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-16_final
2021-01-19 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-01-19_final
2021-01-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-26_final
2021-01-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-26_final
2021-06-15 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-06-15_final
2021-07-31 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final
2021-07-31 12:14:31	ga_s2am_ard_3-2-1_49KGP_2021-07-31_final
2021-08-04 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-08-04_final
2021-09-06 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-09-06_final
2021-09-10 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-09-10_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final
2021-12-15 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-12-15_final
2022-01-21 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-21_final
2022-01-31 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-01-31_final
2022-04-11 11:55:44	ga_s2am_ard_3-2-1_50JLP_2022-04-11_final
2022-04-28 11:46:39	ga_s2am_ard_3-2-1_50HPK_2022-04-28_final
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final
2022-06-17 11:46:41	ga_s2am_ard_3-2-1_50HQK_2022-06-17_final
2022-08-09 11:56:11	ga_s2am_ard_3-2-1_50JKN_2022-08-09_final
2022-10-15 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-10-15_final.stac-item
2022-10-18 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-10-18_final.stac-item
2022-11-03 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-11-03_final.stac-item
2023-01-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-01-19_final.stac-item
2023-01-26 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-01-26_final.stac-item
2023-02-22 11:47:04	ga_s2am_ard_3-2-1_50HNH_2023-02-22_final.stac-item
2023-04-29 12:05:38	ga_s2am_ard_3-2-1_50JLP_2023-04-29_final.stac-item
2023-06-01 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-01_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-09-03 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-09-03_final.stac-item
2023-09-26 12:05:57	ga_s2am_ard_3-2-1_50JKN_2023-09-26_final.stac-item
2023-10-16 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-10-16_final.stac-item
2023-11-02 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-11-02_final.stac-item
2024-01-11 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-11_final.stac-item
2024-01-11 11:57:04	ga_s2am_ard_3-2-1_50HLH_2024-01-11_final.stac-item
2024-02-10 11:56:10	ga_s2am_ard_3-2-1_50JKM_2024-02-10_final.stac-item
2024-03-11 11:57:06	ga_s2am_ard_3-2-1_50HMH_2024-03-11_final.stac-item
2024-03-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2024-03-28_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