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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KGQ_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPH_2015-12-21_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50HQK_2016-01-17_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQK_2016-03-20_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHR_2016-05-18_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-12-11_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2016-12-24_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKR_2017-01-20_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLK_2017-02-26_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMK_2017-02-26_final
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-03-24_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-08-18_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGR_2017-10-20_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-11-09_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-12-09_final
2019-01-20 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-01-20_final
2019-01-23 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-01-23_final
2019-01-27 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-01-27_final
2019-01-27 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-01-27_final
2019-01-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2019-01-30_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-09 12:06:01	ga_s2am_ard_3-2-1_50JLM_2019-02-09_final
2019-03-02 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-03-02_final
2019-03-11 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-03-11_final
2019-06-12 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-12_final
2019-07-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-29_final
2019-08-01 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-08-01_final
2019-12-09 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-12-09_final
2020-01-25 12:05:58	ga_s2am_ard_3-2-1_50JLM_2020-01-25_final
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final
2020-02-07 12:14:23	ga_s2am_ard_3-2-1_49JHN_2020-02-07_final
2020-02-17 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-02-17_final
2020-04-07 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2020-04-07_final
2020-05-27 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-05-27_final
2020-06-06 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-06_final
2020-07-10 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-07-10_final
2020-07-20 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-07-20_final
2020-07-20 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-20_final
2020-07-26 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-07-26_final
2020-07-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-30_final
2020-08-02 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-02_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-01_final
2020-09-05 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-09-05_final
2020-09-08 11:56:44	ga_s2am_ard_3-2-1_50HLK_2020-09-08_final
2020-09-11 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2020-09-11_final
2021-08-24 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2021-08-24_final
2021-08-24 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-08-24_final
2021-08-24 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-08-24_final
2021-10-30 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-30_final
2021-11-15 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-11-15_final
2021-11-22 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-11-22_final
2021-11-25 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-11-25_final
2021-12-02 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-12-02_final
2021-12-02 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-12-02_final
2021-12-12 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2021-12-12_final
2021-12-25 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-12-25_final
2022-01-04 12:06:06	ga_s2am_ard_3-2-1_50JLM_2022-01-04_final
2022-01-11 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-11_final
2022-03-05 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2022-03-05_final
2022-03-12 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKS_2022-04-14_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final
2022-04-21 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2022-04-21_final
2022-05-04 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2022-05-04_final
2022-06-30 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-06-30_final
2022-06-30 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-06-30_final
2022-07-03 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-07-03_final
2022-07-20 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-07-20_final
2022-07-23 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-07-23_final
2022-08-26 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-08-26_final
2022-08-29 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-29_final
2022-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2022-10-08_final.stac-item
2022-10-28 11:56:14	ga_s2am_ard_3-2-1_50JLM_2022-10-28_final.stac-item
2022-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2022-12-21_final.stac-item
2023-03-04 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-03-04_final.stac-item
2023-04-19 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-04-19_final.stac-item
2023-04-23 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-04-23_final.stac-item
2023-05-16 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-16_final.stac-item
2023-07-15 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-15_final.stac-item
2023-08-04 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-08-04_final.stac-item
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final.stac-item
2023-08-04 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-04_final.stac-item
2023-08-24 11:56:17	ga_s2am_ard_3-2-1_50JLM_2023-08-24_final.stac-item
2023-08-31 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-08-31_final.stac-item
2023-10-20 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-10-20_final.stac-item
2023-11-02 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-11-02_final.stac-item
2023-12-02 11:57:12	ga_s2am_ard_3-2-1_50HMG_2023-12-02_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-12-05_final.stac-item
2023-12-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2023-12-22_final.stac-item
2024-01-01 11:56:22	ga_s2am_ard_3-2-1_50JLL_2024-01-01_final.stac-item
2024-01-25 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2024-01-25_final.stac-item
2024-03-01 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-01_final.stac-item
2024-03-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2024-03-08_final.stac-item
2024-03-21 11:56:36	ga_s2am_ard_3-2-1_50HMK_2024-03-21_final.stac-item
2024-04-06 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2024-04-06_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