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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KQF_2015-12-04_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLQ_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUS_2015-12-21_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLR_2016-01-06_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGR_2016-01-09_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JYK_2016-01-24_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51HVC_2016-01-24_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51HWD_2016-01-24_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGP_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-08_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUQ_2016-02-19_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNC_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTH_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KRC_2016-04-02_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51JUN_2016-04-19_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-04-25_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXG_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JUN_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLM_2016-05-15_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-06-17_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPJ_2016-06-25_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMS_2016-09-02_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JYN_2016-12-09_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JMS_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KKB_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KNB_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUR_2016-12-15_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-01-20_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HLK_2017-01-27_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HMK_2017-01-27_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50JML_2017-01-27_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_50HQK_2017-03-02_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51JUF_2017-03-02_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2017-11-19_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLM_2017-12-16_final
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_50KKA_2018-01-18_final
2019-01-21 11:33:30	ga_s2am_ard_3-2-1_51KUS_2019-01-21_final
2019-01-23 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-01-23_final
2019-01-28 11:25:49	ga_s2am_ard_3-2-1_51JXG_2019-01-28_final
2019-02-19 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-02-19_final
2019-02-22 12:14:03	ga_s2am_ard_3-2-1_50KKV_2019-02-22_final
2019-02-22 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-02-22_final
2019-03-02 11:36:29	ga_s2am_ard_3-2-1_51HVD_2019-03-02_final
2019-03-18 11:52:34	ga_s2am_ard_3-2-1_50KPF_2019-03-18_final.stac-item
2019-06-16 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-06-16_final.stac-item
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-09-21 11:43:29	ga_s2am_ard_3-2-1_51KUS_2019-09-21_final
2019-11-20 11:43:30	ga_s2am_ard_3-2-1_51KUS_2019-11-20_final
2019-12-10 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2019-12-10_final
2019-12-14 11:24:32	ga_s2am_ard_3-2-1_51JYM_2019-12-14_final
2019-12-23 11:52:30	ga_s2am_ard_3-2-1_50KPF_2019-12-23_final.stac-item
2020-06-07 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-06-07_final
2020-07-20 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-07-20_final.stac-item
2020-09-01 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-09-01_final
2020-09-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-09-04_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-12-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2020-12-01_final
2020-12-04 11:43:13	ga_s2am_ard_3-2-1_51KUT_2020-12-04_final
2021-01-19 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-01-19_final
2021-08-24 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-08-24_final
2021-08-25 11:27:00	ga_s2am_ard_3-2-1_51HVC_2021-08-25_final
2021-11-06 11:34:58	ga_s2am_ard_3-2-1_51JWL_2021-11-06_final
2021-12-06 11:36:56	ga_s2am_ard_3-2-1_51HUC_2021-12-06_final
2022-02-14 11:33:34	ga_s2am_ard_3-2-1_51KUS_2022-02-14_final
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final
2022-03-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-06_final
2022-03-16 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-16_final
2022-05-22 11:27:08	ga_s2am_ard_3-2-1_51HUC_2022-05-22_final
2022-06-04 11:33:42	ga_s2am_ard_3-2-1_51KUS_2022-06-04_final
2022-08-06 11:43:14	ga_s2am_ard_3-2-1_51KTU_2022-08-06_final
2022-08-09 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-08-09_final
2022-09-22 11:33:41	ga_s2am_ard_3-2-1_51KUS_2022-09-22_final.stac-item
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-11-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2022-11-07_final.stac-item
2022-11-14 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-11-14_final.stac-item
2022-12-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2022-12-01_final.stac-item
2023-01-03 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-01-03_final.stac-item
2023-03-08 11:26:33	ga_s2am_ard_3-2-1_51HWD_2023-03-08_final.stac-item
2023-03-31 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-03-31_final.stac-item
2023-04-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-16_final.stac-item
2023-08-24 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-24_final.stac-item
2023-11-09 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-11-09_final.stac-item
2023-12-02 11:52:29	ga_s2am_ard_3-2-1_50KPF_2023-12-02_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2023-12-29 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-29_final.stac-item
2024-01-05 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2024-01-05_final.stac-item
2024-01-08 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-01-08_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-01-28 11:46:57	ga_s2am_ard_3-2-1_50HPH_2024-01-28_final.stac-item
2024-02-17 11:43:41	ga_s2am_ard_3-2-1_51KUR_2024-02-17_final.stac-item
2024-03-02 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-03-02_final.stac-item
2024-03-25 11:37:18	ga_s2am_ard_3-2-1_50HQG_2024-03-25_final.stac-item
2024-04-03 12:03:46	ga_s2am_ard_3-2-1_50KMA_2024-04-03_final.stac-item
2024-04-07 11:46:52	ga_s2am_ard_3-2-1_50HQH_2024-04-07_final.stac-item
2024-04-10 11:52:20	ga_s2am_ard_3-2-1_50KQG_2024-04-10_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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