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
2015-08-27 11:26:08	ga_s2am_ard_3-2-1_51HUE_2015-08-27_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUR_2015-12-21_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JWJ_2016-01-07_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGQ_2016-02-08_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUR_2016-02-19_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQB_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KRC_2016-03-03_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51JTL_2016-04-19_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPH_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JTH_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JTJ_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JVH_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JNQ_2016-05-22_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_50KKA_2016-05-25_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMM_2016-07-21_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51HXC_2016-08-11_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50KRD_2016-11-05_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUQ_2016-12-12_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51JTN_2017-01-01_final
2017-02-26 11:49:14	ga_s2am_ard_3-2-1_50KQF_2017-02-26_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JNP_2017-08-25_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-11-06_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HPG_2017-12-10_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51JWN_2018-01-06_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KUQ_2018-02-08_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HPG_2018-03-07_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HXC_2018-05-20_final.stac-item
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51HWC_2018-07-09_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50KRD_2018-07-21_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JNL_2018-08-17_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KQF_2018-10-19_final.stac-item
2018-12-22 11:33:40	ga_s2am_ard_3-2-1_51KUR_2018-12-22_final
2018-12-25 11:43:10	ga_s2am_ard_3-2-1_51KTT_2018-12-25_final
2018-12-25 11:43:11	ga_s2am_ard_3-2-1_50KRC_2018-12-25_final
2019-01-04 11:43:13	ga_s2am_ard_3-2-1_50KRC_2019-01-04_final
2019-01-04 11:46:47	ga_s2am_ard_3-2-1_50HQH_2019-01-04_final
2019-05-07 11:52:38	ga_s2am_ard_3-2-1_50KQF_2019-05-07_final.stac-item
2019-06-23 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-06-23_final.stac-item
2019-06-26 11:52:38	ga_s2am_ard_3-2-1_50KQF_2019-06-26_final.stac-item
2019-08-01 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-08-01_final
2019-08-12 11:42:20	ga_s2am_ard_3-2-1_51KUB_2019-08-12_final.stac-item
2019-11-07 11:34:39	ga_s2am_ard_3-2-1_50JRT_2019-11-07_final
2019-11-10 11:44:15	ga_s2am_ard_3-2-1_51KUP_2019-11-10_final
2019-11-11 11:14:26	ga_s2am_ard_3-2-1_51JZN_2019-11-11_final
2019-11-16 12:03:28	ga_s2am_ard_3-2-1_50KLC_2019-11-16_final
2019-11-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-11-16_final.stac-item
2019-11-17 11:34:38	ga_s2am_ard_3-2-1_51JTN_2019-11-17_final
2019-11-30 11:42:16	ga_s2am_ard_3-2-1_51KUB_2019-11-30_final.stac-item
2019-12-30 11:43:28	ga_s2am_ard_3-2-1_50KRB_2019-12-30_final
2020-01-16 11:34:30	ga_s2am_ard_3-2-1_51JTN_2020-01-16_final
2020-02-25 11:35:45	ga_s2am_ard_3-2-1_50JQN_2020-02-25_final
2020-03-16 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-03-16_final
2020-03-16 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-03-16_final.stac-item
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-08-06 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-08-06_final
2020-11-24 11:44:29	ga_s2am_ard_3-2-1_51JUN_2020-11-24_final
2020-12-04 11:44:18	ga_s2am_ard_3-2-1_50KQU_2020-12-04_final
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final
2020-12-24 11:44:09	ga_s2am_ard_3-2-1_50KPV_2020-12-24_final
2020-12-27 11:53:42	ga_s2am_ard_3-2-1_50KMB_2020-12-27_final
2021-01-04 11:14:41	ga_s2am_ard_3-2-1_51JYM_2021-01-04_final
2021-01-30 11:34:36	ga_s2am_ard_3-2-1_51JTN_2021-01-30_final
2021-03-05 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-03-05_final
2021-03-11 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2021-03-11_final
2021-04-13 11:47:01	ga_s2am_ard_3-2-1_50HNH_2021-04-13_final
2021-12-10 11:15:09	ga_s2am_ard_3-2-1_51JYK_2021-12-10_final
2021-12-26 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-12-26_final
2021-12-26 11:34:37	ga_s2am_ard_3-2-1_51JTN_2021-12-26_final
2022-02-07 11:47:20	ga_s2am_ard_3-2-1_50HNG_2022-02-07_final.stac-item
2022-03-02 11:57:27	ga_s2am_ard_3-2-1_50HLG_2022-03-02_final.stac-item
2022-03-06 11:34:21	ga_s2am_ard_3-2-1_51KUP_2022-03-06_final
2022-03-16 11:34:41	ga_s2am_ard_3-2-1_50JRT_2022-03-16_final
2022-05-28 11:43:59	ga_s2am_ard_3-2-1_50KQA_2022-05-28_final
2022-09-08 11:53:10	ga_s2am_ard_3-2-1_50KRD_2022-09-08_final.stac-item
2022-10-15 11:47:28	ga_s2am_ard_3-2-1_50HMG_2022-10-15_final.stac-item
2022-11-01 11:37:21	ga_s2am_ard_3-2-1_50HQG_2022-11-01_final.stac-item
2022-11-14 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2022-11-14_final.stac-item
2022-11-15 11:15:13	ga_s2am_ard_3-2-1_51JYK_2022-11-15_final.stac-item
2022-11-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-11-17_final.stac-item
2022-11-24 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2022-11-24_final.stac-item
2022-11-25 11:15:09	ga_s2am_ard_3-2-1_51JYK_2022-11-25_final.stac-item
2023-01-24 11:15:07	ga_s2am_ard_3-2-1_51JYK_2023-01-24_final.stac-item
2023-02-12 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2023-02-12_final.stac-item
2023-06-06 11:25:17	ga_s2am_ard_3-2-1_51JWK_2023-06-06_final.stac-item
2023-06-15 11:52:38	ga_s2am_ard_3-2-1_50KQF_2023-06-15_final.stac-item
2023-10-17 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-10-17_final.stac-item
2023-11-16 11:33:46	ga_s2am_ard_3-2-1_51KUR_2023-11-16_final.stac-item
2023-11-16 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-11-16_final.stac-item
2023-11-29 11:43:50	ga_s2am_ard_3-2-1_51KUQ_2023-11-29_final.stac-item
2023-12-19 11:43:32	ga_s2am_ard_3-2-1_51KTS_2023-12-19_final.stac-item
2023-12-20 11:14:34	ga_s2am_ard_3-2-1_51JZM_2023-12-20_final.stac-item
2024-01-12 11:25:33	ga_s2am_ard_3-2-1_51JXH_2024-01-12_final.stac-item
2024-01-28 11:44:22	ga_s2am_ard_3-2-1_51JUN_2024-01-28_final.stac-item
2024-02-21 11:25:04	ga_s2am_ard_3-2-1_51JYK_2024-02-21_final.stac-item
2024-02-27 11:44:12	ga_s2am_ard_3-2-1_51KUP_2024-02-27_final.stac-item
2024-02-28 11:15:13	ga_s2am_ard_3-2-1_51JYK_2024-02-28_final.stac-item
2024-03-14 12:04:46	ga_s2am_ard_3-2-1_49JGN_2024-03-14_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_final.stac-item
2024-04-14 11:37:23	ga_s2am_ard_3-2-1_50HPG_2024-04-14_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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