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_50JKR_2015-10-08_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMJ_2015-11-14_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKQ_2015-12-17_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2016-09-12_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50JKM_2016-09-29_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2016-10-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKS_2016-11-21_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLH_2017-01-24_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLG_2017-02-26_final.stac-item
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50HNK_2017-03-28_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-04-10_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HLH_2017-05-24_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKS_2017-06-09_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HMK_2018-02-01_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-24_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHN_2018-04-05_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HLH_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQH_2018-06-08_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HNG_2018-06-25_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLQ_2018-08-13_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-10-02_final
2018-11-21 12:04:47	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-12-01 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-01_final
2018-12-08 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-08_final
2018-12-22 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-22_final.stac-item
2019-01-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-01-07_final
2019-02-06 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-02-06_final
2019-02-09 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-09_final
2019-04-17 11:55:15	ga_s2am_ard_3-2-1_50JLR_2019-04-17_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-06-19 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-06-19_final
2019-07-29 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-29_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-18 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-08-18_final
2019-08-25 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-08-25_final
2019-10-21 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-10-21_final
2020-01-06 11:36:28	ga_s2am_ard_3-2-1_50HQK_2020-01-06_final
2020-01-15 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-01-15_final
2020-01-15 12:05:20	ga_s2am_ard_3-2-1_50JKQ_2020-01-15_final
2020-01-18 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-18_final
2020-02-11 11:55:10	ga_s2am_ard_3-2-1_50JLR_2020-02-11_final
2020-04-11 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-04-11_final
2020-05-01 11:57:09	ga_s2am_ard_3-2-1_50HMH_2020-05-01_final
2020-05-21 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-21_final
2020-06-07 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-06-07_final
2020-07-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-07-23_final.stac-item
2020-08-15 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-08-15_final
2020-10-05 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-10-05_final
2020-10-12 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-12_final
2020-10-14 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-14_final
2020-10-21 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-21_final.stac-item
2020-10-31 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-10-31_final
2021-01-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-01-22_final
2021-01-30 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-30_final
2021-02-11 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2021-02-11_final
2021-02-19 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-19_final
2021-02-28 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-02-28_final
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final
2021-03-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-03-17_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-05-26 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-05-26_final
2021-06-15 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-06-15_final
2021-07-08 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-07-08_final
2021-07-18 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-07-18_final
2021-08-04 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-08-04_final
2021-08-04 11:57:09	ga_s2am_ard_3-2-1_50HMH_2021-08-04_final
2021-08-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2021-08-27_final
2021-09-13 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-13_final
2021-09-23 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-09-23_final
2021-10-26 12:04:48	ga_s2am_ard_3-2-1_50JKT_2021-10-26_final
2021-11-28 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-11-28_final
2022-01-04 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-01-04_final.stac-item
2022-01-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-01-04_final
2022-02-03 12:04:57	ga_s2am_ard_3-2-1_50JKS_2022-02-03_final
2022-03-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-05_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-05-01 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-05-01_final
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-06-14 11:37:37	ga_s2am_ard_3-2-1_50HNG_2022-06-14_final.stac-item
2022-12-10 12:03:45	ga_s2am_ard_3-2-1_49KHS_2022-12-10_final.stac-item
2023-01-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-01-06_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final.stac-item
2023-01-19 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-01-19_final.stac-item
2023-01-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2023-01-20_final.stac-item
2023-01-29 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-01-29_final.stac-item
2023-02-22 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-02-22_final.stac-item
2023-02-28 12:04:40	ga_s2am_ard_3-2-1_50JKT_2023-02-28_final.stac-item
2023-03-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2023-03-21_final.stac-item
2023-07-02 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-07-02_final.stac-item
2023-07-18 12:05:01	ga_s2am_ard_3-2-1_50JKS_2023-07-18_final.stac-item
2023-08-10 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-08-10_final.stac-item
2023-08-31 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-31_final.stac-item
2023-10-13 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-10-13_final.stac-item
2023-10-19 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-10-19_final.stac-item
2023-12-25 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2023-12-25_final.stac-item
2024-01-04 12:04:53	ga_s2am_ard_3-2-1_49JHM_2024-01-04_final.stac-item
2024-01-04 12:04:54	ga_s2am_ard_3-2-1_50JKS_2024-01-04_final.stac-item
2024-02-10 11:56:33	ga_s2am_ard_3-2-1_50HMK_2024-02-10_final.stac-item
2024-03-05 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-03-05_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