Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMJ_2015-11-21_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JQN_2016-03-07_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGM_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKP_2016-05-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNM_2016-05-29_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JPL_2016-10-13_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPK_2016-10-26_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLN_2016-10-29_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPJ_2016-11-12_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLJ_2016-12-08_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMH_2017-01-24_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKQ_2017-01-30_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JLP_2017-01-30_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNK_2017-02-13_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JNR_2017-02-13_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMJ_2017-02-16_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-04-20_final.stac-item
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JQL_2017-05-21_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JPL_2017-09-01_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JML_2017-10-24_final.stac-item
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLH_2018-02-11_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMJ_2018-02-18_final.stac-item
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQH_2018-04-16_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNL_2018-05-29_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HQH_2018-06-15_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLN_2018-06-21_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLN_2018-07-11_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGM_2018-08-23_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JPL_2018-10-06_final.stac-item
2018-11-15 11:47:01	ga_s2am_ard_3-2-1_50HNH_2018-11-15_final.stac-item
2019-02-06 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-02-06_final.stac-item
2019-04-20 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-04-20_final.stac-item
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-09-11 11:46:24	ga_s2am_ard_3-2-1_50JML_2019-09-11_final.stac-item
2019-12-13 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-12-13_final.stac-item
2019-12-20 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-20_final.stac-item
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final.stac-item
2020-01-05 12:05:35	ga_s2am_ard_3-2-1_50JKP_2020-01-05_final.stac-item
2020-01-09 11:45:41	ga_s2am_ard_3-2-1_50JQN_2020-01-09_final.stac-item
2020-01-12 11:55:54	ga_s2am_ard_3-2-1_50JKN_2020-01-12_final.stac-item
2020-02-01 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-01_final.stac-item
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2020-02-07_final.stac-item
2020-03-19 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-19_final.stac-item
2020-03-22 11:55:43	ga_s2am_ard_3-2-1_50JKP_2020-03-22_final.stac-item
2020-03-25 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final.stac-item
2020-04-18 11:46:19	ga_s2am_ard_3-2-1_50JPL_2020-04-18_final.stac-item
2020-04-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2020-04-25_final.stac-item
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final.stac-item
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final.stac-item
2020-06-30 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-06-30_final.stac-item
2020-08-29 11:56:23	ga_s2am_ard_3-2-1_50JNL_2020-08-29_final.stac-item
2020-11-01 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-11-01_final.stac-item
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final.stac-item
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final.stac-item
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final.stac-item
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final.stac-item
2021-01-10 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-01-10_final.stac-item
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final.stac-item
2021-01-19 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-01-19_final.stac-item
2021-02-08 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-02-08_final.stac-item
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_50KKA_2021-04-02_final.stac-item
2021-04-10 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final.stac-item
2021-04-23 11:46:11	ga_s2am_ard_3-2-1_50JQL_2021-04-23_final.stac-item
2021-05-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2021-05-09_final.stac-item
2021-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-05-13_final.stac-item
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final.stac-item
2021-07-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final
2021-07-22 11:46:33	ga_s2am_ard_3-2-1_50HQK_2021-07-22_final.stac-item
2021-07-25 11:56:00	ga_s2am_ard_3-2-1_50JLN_2021-07-25_final.stac-item
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final.stac-item
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_50KKA_2021-08-17_final.stac-item
2021-11-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2021-11-02_final.stac-item
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final.stac-item
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final.stac-item
2022-01-05 11:34:38	ga_s2am_ard_3-2-1_50JRT_2022-01-05_final.stac-item
2022-01-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-18_final.stac-item
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final.stac-item
2022-02-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-02-23_final.stac-item
2022-03-25 12:04:01	ga_s2am_ard_3-2-1_50KKA_2022-03-25_final.stac-item
2022-06-03 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-06-03_final.stac-item
2022-09-08 11:56:15	ga_s2am_ard_3-2-1_50JNM_2022-09-08_final.stac-item
2022-09-11 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-09-11_final.stac-item
2022-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2022-10-08_final.stac-item
2022-12-10 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-12-10_final.stac-item
2022-12-27 11:55:55	ga_s2am_ard_3-2-1_50JLN_2022-12-27_final.stac-item
2023-03-04 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-03-04_final
2023-05-20 11:36:56	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final
2023-09-10 11:46:39	ga_s2am_ard_3-2-1_50HPK_2023-09-10_final
2023-10-13 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-10-13_final
2023-10-16 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-10-16_final
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_final
2023-12-05 12:05:22	ga_s2am_ard_3-2-1_49JGK_2023-12-05_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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