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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKQ_2015-10-08_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHM_2015-12-07_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMK_2016-01-03_final.stac-item
2016-01-13 11:56:42	ga_s2am_ard_3-2-1_50HMK_2016-01-13_final.stac-item
2016-01-23 11:56:39	ga_s2am_ard_3-2-1_50HMK_2016-01-23_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKQ_2016-04-15_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMH_2016-07-08_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHM_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKR_2016-09-22_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMK_2016-09-29_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMK_2017-01-14_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMK_2017-01-24_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-22_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50HMK_2017-04-27_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMK_2017-06-06_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMH_2017-06-26_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGK_2017-06-29_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HNK_2017-07-06_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKR_2017-08-28_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JLQ_2017-09-27_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQK_2017-11-07_final
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMK_2018-01-02_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HQK_2018-02-15_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-02-24_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMJ_2018-07-08_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQK_2018-07-15_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-11-25 11:46:22	ga_s2am_ard_3-2-1_50HQK_2018-11-25_final
2018-12-31 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-12-31_final
2018-12-31 12:04:36	ga_s2am_ard_3-2-1_49JHN_2018-12-31_final
2019-01-10 12:04:52	ga_s2am_ard_3-2-1_50JKS_2019-01-10_final
2019-01-30 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-01-30_final
2019-03-15 11:46:37	ga_s2am_ard_3-2-1_50HMK_2019-03-15_final
2019-03-18 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-03-18_final
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-04-20_final.stac-item
2019-04-27 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-04-27_final
2019-05-14 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-05-14_final
2019-05-30 12:05:00	ga_s2am_ard_3-2-1_50JKS_2019-05-30_final
2019-06-02 12:13:42	ga_s2am_ard_3-2-1_49KHS_2019-06-02_final.stac-item
2019-07-29 12:05:27	ga_s2am_ard_3-2-1_49JGK_2019-07-29_final
2019-08-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2019-08-02_final
2019-08-08 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-08-08_final
2019-08-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-08-15_final
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-08-28_final
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_50JKS_2019-08-28_final
2019-08-29 11:36:35	ga_s2am_ard_3-2-1_50HQK_2019-08-29_final
2019-10-17 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-10-17_final
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JFM_2019-10-27_final
2019-10-30 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-10-30_final
2019-11-09 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-11-09_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-19 11:47:14	ga_s2am_ard_3-2-1_50HNG_2020-01-19_final.stac-item
2020-03-25 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-03-25_final
2020-04-04 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2020-04-04_final
2020-04-08 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-04-08_final
2020-04-27 12:14:23	ga_s2am_ard_3-2-1_49KHP_2020-04-27_final
2020-10-04 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-18 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-10-18_final.stac-item
2020-11-10 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-11-10_final.stac-item
2020-12-03 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-03_final
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final
2020-12-27 11:56:36	ga_s2am_ard_3-2-1_50HMK_2020-12-27_final
2021-01-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-01-29_final
2021-02-15 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-02-15_final
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final
2021-03-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-03-30_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-06-18_final
2021-06-25 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-06-25_final
2021-07-29 11:37:30	ga_s2am_ard_3-2-1_50HNG_2021-07-29_final.stac-item
2021-11-05 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-11-05_final
2021-12-05 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-12-05_final
2021-12-15 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-12-15_final
2022-01-24 12:04:57	ga_s2am_ard_3-2-1_50JKS_2022-01-24_final
2022-03-05 12:05:01	ga_s2am_ard_3-2-1_50JKS_2022-03-05_final
2022-05-01 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2022-05-01_final
2022-06-30 11:57:34	ga_s2am_ard_3-2-1_50HLG_2022-06-30_final.stac-item
2022-07-03 12:05:10	ga_s2am_ard_3-2-1_50JKS_2022-07-03_final
2022-07-13 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-07-13_final
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-11-30_final.stac-item
2023-05-26 11:57:09	ga_s2am_ard_3-2-1_50HMH_2023-05-26_final.stac-item
2023-05-29 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-05-29_final.stac-item
2023-06-01 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2023-06-01_final.stac-item
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final.stac-item
2023-08-17 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2023-08-17_final.stac-item
2023-10-06 12:04:58	ga_s2am_ard_3-2-1_49JHM_2023-10-06_final.stac-item
2023-10-23 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-10-23_final.stac-item
2023-10-26 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-10-26_final.stac-item
2023-11-08 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-08_final.stac-item
2023-11-18 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-11-18_final.stac-item
2023-12-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2023-12-08_final.stac-item
2024-01-27 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2024-01-27_final.stac-item
2024-02-23 12:05:10	ga_s2am_ard_3-2-1_50JKR_2024-02-23_final.stac-item
2024-03-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-27_final.stac-item
2024-04-13 12:04:44	ga_s2am_ard_3-2-1_50JKT_2024-04-13_final.stac-item
2024-04-13 12:04:58	ga_s2am_ard_3-2-1_49JHM_2024-04-13_final.stac-item
2024-04-16 12:13:43	ga_s2am_ard_3-2-1_49KHS_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