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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNH_2015-11-21_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JKS_2016-01-26_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JML_2016-06-11_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQH_2016-07-15_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KGR_2016-07-27_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGK_2016-08-23_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2016-12-11_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-02_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HNJ_2017-03-25_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-04-03_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JLM_2017-04-27_final
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLH_2017-04-27_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KGQ_2017-07-12_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-07-19_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGP_2017-08-01_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50JML_2017-10-11_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50HMK_2017-11-03_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGN_2017-11-06_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLK_2017-11-13_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-11-29_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGP_2017-11-29_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLP_2017-12-16_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50JLM_2018-01-02_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGL_2018-01-08_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HQJ_2018-02-28_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-03-06_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KGP_2018-03-26_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-04-15_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-04-26_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KGR_2018-04-28_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMG_2018-04-29_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HMH_2018-05-02_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMK_2018-06-18_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLN_2018-07-31_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HQH_2018-09-23_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-15_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-22_final
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final
2018-12-22 11:37:00	ga_s2am_ard_3-2-1_50HQH_2018-12-22_final
2019-01-20 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-01-20_final.stac-item
2019-01-31 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2019-01-31_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-04-07 11:55:57	ga_s2am_ard_3-2-1_50JLN_2019-04-07_final
2019-06-09 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-06-09_final
2019-06-19 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-06-19_final
2019-06-30 11:36:39	ga_s2am_ard_3-2-1_50HQK_2019-06-30_final
2019-07-03 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2019-07-03_final
2019-07-06 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-07-06_final
2019-07-09 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-09_final
2019-11-06 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-11-06_final
2020-01-12 11:56:05	ga_s2am_ard_3-2-1_50JLM_2020-01-12_final
2020-01-28 12:14:34	ga_s2am_ard_3-2-1_49JGN_2020-01-28_final
2020-03-08 12:14:52	ga_s2am_ard_3-2-1_49JGM_2020-03-08_final
2020-04-11 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-04-11_final
2020-06-07 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-06-07_final
2020-07-13 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-13_final
2020-07-14 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-07-14_final.stac-item
2020-09-22 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-09-22_final
2020-10-11 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-11_final
2020-11-04 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-11-04_final
2020-12-04 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-04_final
2021-01-12 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-12_final
2021-01-13 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-13_final
2021-01-26 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-26_final
2021-02-18 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-18_final
2021-03-20 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-03-20_final
2021-03-27 11:55:44	ga_s2am_ard_3-2-1_50JKP_2021-03-27_final
2021-04-19 12:05:05	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final
2021-07-05 11:55:44	ga_s2am_ard_3-2-1_50JLP_2021-07-05_final
2021-08-04 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-08-04_final
2021-08-27 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-08-27_final
2021-10-07 11:37:16	ga_s2am_ard_3-2-1_50HQG_2021-10-07_final.stac-item
2021-12-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-12-06_final
2021-12-25 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-12-25_final
2022-03-05 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-03-05_final
2022-04-15 11:37:29	ga_s2am_ard_3-2-1_50HNG_2022-04-15_final.stac-item
2022-04-18 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-04-18_final
2022-08-26 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-08-26_final.stac-item
2022-10-01 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2022-11-13 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-11-13_final.stac-item
2022-12-20 12:04:41	ga_s2am_ard_3-2-1_50JKT_2022-12-20_final.stac-item
2023-01-06 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-01-06_final.stac-item
2023-01-19 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-01-19_final.stac-item
2023-02-25 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-02-25_final.stac-item
2023-07-05 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-07-05_final.stac-item
2023-08-14 11:56:02	ga_s2am_ard_3-2-1_50JLN_2023-08-14_final.stac-item
2023-10-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-10-07_final.stac-item
2023-10-17 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-10-17_final.stac-item
2023-12-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-12-22_final.stac-item
2024-01-01 11:56:08	ga_s2am_ard_3-2-1_50JLM_2024-01-01_final.stac-item
2024-01-11 11:57:01	ga_s2am_ard_3-2-1_50HMH_2024-01-11_final.stac-item
2024-02-20 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-02-20_final.stac-item
2024-03-11 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2024-03-11_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