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_50HNG_2015-12-21_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKT_2016-06-24_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-08-13_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKS_2016-09-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-10-22_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50HMK_2016-11-08_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-12-11_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HLK_2017-01-27_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HLH_2017-02-03_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKS_2017-03-11_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLM_2017-03-31_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKT_2017-06-09_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHQ_2017-08-21_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HLJ_2017-08-25_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGN_2017-09-17_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-11-06_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHP_2018-01-05_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLH_2018-02-08_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLL_2018-02-11_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HLH_2018-02-18_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPG_2018-02-18_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-02-24_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMK_2018-05-19_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMJ_2018-07-08_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-10-12_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HQK_2018-10-26_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
2018-12-21 12:05:18	ga_s2am_ard_3-2-1_50JKQ_2018-12-21_final
2018-12-31 12:04:36	ga_s2am_ard_3-2-1_49JHN_2018-12-31_final
2019-03-01 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2019-03-01_final
2019-04-30 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-04-30_final
2019-05-10 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-05-10_final
2019-07-29 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-29_final.stac-item
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-08-01_final.stac-item
2019-08-08 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-08-08_final
2019-08-22 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-08-22_final
2019-10-07 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-10-07_final
2019-11-23 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-11-23_final.stac-item
2019-11-27 11:37:17	ga_s2am_ard_3-2-1_50HQG_2019-11-27_final.stac-item
2019-12-03 11:56:38	ga_s2am_ard_3-2-1_50HLK_2019-12-03_final
2019-12-16 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2019-12-16_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
2020-02-04 12:04:48	ga_s2am_ard_3-2-1_49JHM_2020-02-04_final
2020-02-04 12:05:03	ga_s2am_ard_3-2-1_50JKR_2020-02-04_final
2020-02-27 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2020-02-27_final
2020-03-18 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-18_final
2020-03-25 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2020-03-25_final
2020-03-28 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2020-03-28_final
2020-07-13 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-07-13_final
2021-01-09 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-09_final.stac-item
2021-01-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-19_final.stac-item
2021-02-28 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-02-28_final
2021-05-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-05-09_final
2021-06-02 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-06-02_final.stac-item
2021-07-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-07-01_final
2021-07-18 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-18_final
2021-08-24 11:56:16	ga_s2am_ard_3-2-1_50JKM_2021-08-24_final
2021-10-30 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-30_final
2021-11-15 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-11-15_final
2022-01-24 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2022-01-24_final
2022-02-13 12:05:11	ga_s2am_ard_3-2-1_50JKR_2022-02-13_final
2022-02-17 11:46:42	ga_s2am_ard_3-2-1_50HMK_2022-02-17_final
2022-04-27 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2022-04-27_final
2022-06-07 11:47:03	ga_s2am_ard_3-2-1_50HMJ_2022-06-07_final
2022-10-08 11:56:32	ga_s2am_ard_3-2-1_50JLL_2022-10-08_final.stac-item
2022-10-21 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-10-21_final.stac-item
2022-11-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2022-11-30_final.stac-item
2022-12-10 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2022-12-10_final.stac-item
2022-12-10 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-12-10_final.stac-item
2023-01-26 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-01-26_final.stac-item
2023-01-29 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-01-29_final.stac-item
2023-02-22 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-02-22_final.stac-item
2023-03-10 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-03-10_final.stac-item
2023-05-09 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final.stac-item
2023-06-28 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-28_final.stac-item
2023-07-15 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-07-15_final.stac-item
2023-08-01 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2023-08-01_final.stac-item
2023-08-10 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-08-10_final.stac-item
2023-08-20 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2023-08-20_final.stac-item
2023-08-31 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2023-08-31_final.stac-item
2023-09-07 11:37:32	ga_s2am_ard_3-2-1_50HNG_2023-09-07_final.stac-item
2023-09-26 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2023-09-26_final.stac-item
2023-10-07 11:36:34	ga_s2am_ard_3-2-1_50HQK_2023-10-07_final.stac-item
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-10-16_final.stac-item
2023-10-16 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-10-16_final.stac-item
2023-10-26 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-10-26_final.stac-item
2023-11-15 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-11-15_final.stac-item
2023-12-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-12-22_final.stac-item
2024-01-01 11:56:33	ga_s2am_ard_3-2-1_50HMK_2024-01-01_final.stac-item
2024-01-05 11:37:17	ga_s2am_ard_3-2-1_50HPG_2024-01-05_final.stac-item
2024-01-21 11:57:14	ga_s2am_ard_3-2-1_50HLG_2024-01-21_final.stac-item
2024-02-16 12:14:57	ga_s2am_ard_3-2-1_49JFM_2024-02-16_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

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