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
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KHR_2015-11-20_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKQ_2015-12-17_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2016-01-19_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLK_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGQ_2016-03-09_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGN_2016-04-18_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-06-07_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-06-07_final.stac-item
2016-06-17 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-06-17_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGR_2016-08-26_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGR_2016-11-24_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-12-14_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPH_2016-12-22_final
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HPH_2017-01-24_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-04-03_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHP_2017-08-01_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-11-09_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2017-11-19_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFM_2017-12-09_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFN_2017-12-09_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-02-13 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-02-13_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-05-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-03_final
2019-05-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-14_final
2019-05-17 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-05-17_final
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-08-01 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-08-01_final
2019-09-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2019-09-30_final
2019-11-06 12:05:11	ga_s2am_ard_3-2-1_49JFM_2019-11-06_final
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2019-12-09 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-12-09_final
2019-12-16 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-12-16_final
2020-07-16 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-07-16_final
2020-08-15 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-15_final
2020-08-15 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-15_final
2020-09-01 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-09-01_final
2020-10-01 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-01_final
2020-10-01 12:05:14	ga_s2am_ard_3-2-1_49JFM_2020-10-01_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-11-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2020-11-13_final
2020-12-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-12-10_final
2020-12-10 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2020-12-10_final
2020-12-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-23_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-11-29 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-29_final
2021-12-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-12-06_final
2021-12-12 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-12-12_final.stac-item
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-01-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-01-11_final
2022-01-15 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-15_final
2022-01-28 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-01-28_final
2022-03-09 11:47:23	ga_s2am_ard_3-2-1_50HNG_2022-03-09_final.stac-item
2022-04-15 11:37:29	ga_s2am_ard_3-2-1_50HNG_2022-04-15_final.stac-item
2022-04-21 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-04-21_final
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final
2022-06-20 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-06-20_final
2022-06-30 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-06-30_final
2022-07-23 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-07-23_final
2022-08-12 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-08-12_final
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-11-17 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-11-17_final.stac-item
2022-11-24 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-11-24_final.stac-item
2023-01-13 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-01-13_final.stac-item
2023-02-05 11:56:24	ga_s2am_ard_3-2-1_50JLL_2023-02-05_final.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-04-26 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-26_final.stac-item
2023-05-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2023-05-16_final.stac-item
2023-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2023-05-16_final.stac-item
2023-08-01 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-01_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
2023-08-04 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-04_final.stac-item
2023-08-14 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-14_final.stac-item
2023-08-14 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-14_final.stac-item
2023-08-31 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-31_final.stac-item
2023-09-27 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-09-27_final.stac-item
2023-12-05 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2023-12-05_final.stac-item
2023-12-06 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-06_final.stac-item
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final.stac-item
2023-12-16 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-12-16_final.stac-item
2023-12-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-12-22_final.stac-item
2024-01-15 11:36:56	ga_s2am_ard_3-2-1_50HQH_2024-01-15_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-01-18 11:46:53	ga_s2am_ard_3-2-1_50HPH_2024-01-18_final.stac-item
2024-01-28 11:47:12	ga_s2am_ard_3-2-1_50HPG_2024-01-28_final.stac-item
2024-02-07 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-02-07_final.stac-item
2024-03-01 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-01_final.stac-item
2024-03-25 11:37:22	ga_s2am_ard_3-2-1_50HPG_2024-03-25_final.stac-item
2024-03-31 11:56:39	ga_s2am_ard_3-2-1_50HLK_2024-03-31_final.stac-item
2024-04-04 11:37:24	ga_s2am_ard_3-2-1_50HNG_2024-04-04_final.stac-item
2024-04-20 11:57:13	ga_s2am_ard_3-2-1_50HLH_2024-04-20_final.stac-item
2024-05-07 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-05-07_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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