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
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50JQL_2016-04-16_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLQ_2016-06-11_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGL_2016-08-23_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JNL_2016-12-28_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNH_2017-01-24_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKT_2017-01-30_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-02_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPK_2017-02-03_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2017-02-19_final.stac-item
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50JNL_2017-03-28_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-03-31_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JMN_2017-04-27_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50HMK_2017-05-17_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JMM_2017-05-27_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNJ_2017-07-03_final.stac-item
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2017-10-20_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JLT_2017-12-16_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JLL_2017-12-23_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50JML_2018-02-18_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HLH_2018-03-20_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JLN_2018-03-26_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMJ_2018-04-09_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLN_2018-05-22_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPK_2018-06-15_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNK_2018-06-28_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-07_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-08-03_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final.stac-item
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_50JKS_2018-11-21_final.stac-item
2018-12-05 11:46:14	ga_s2am_ard_3-2-1_50JNL_2018-12-05_final.stac-item
2019-02-06 11:56:19	ga_s2am_ard_3-2-1_50JML_2019-02-06_final.stac-item
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-03-14_final.stac-item
2019-04-14 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final.stac-item
2019-04-27 11:56:03	ga_s2am_ard_3-2-1_50JKN_2019-04-27_final.stac-item
2019-05-24 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-05-24_final.stac-item
2019-06-03 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-06-03_final.stac-item
2019-06-30 11:36:24	ga_s2am_ard_3-2-1_50JQL_2019-06-30_final.stac-item
2019-08-21 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-08-21_final.stac-item
2019-09-14 11:56:24	ga_s2am_ard_3-2-1_50JLL_2019-09-14_final.stac-item
2019-11-03 11:56:02	ga_s2am_ard_3-2-1_50JKN_2019-11-03_final.stac-item
2019-11-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2019-11-26_final.stac-item
2019-12-09 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-12-09_final.stac-item
2019-12-29 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-12-29_final.stac-item
2020-01-05 12:04:22	ga_s2am_ard_3-2-1_49KHP_2020-01-05_final.stac-item
2020-01-25 12:04:36	ga_s2am_ard_3-2-1_50JKT_2020-01-25_final.stac-item
2020-01-25 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-01-25_final.stac-item
2020-02-14 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-02-14_final.stac-item
2020-03-08 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-08_final.stac-item
2020-03-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-22_final.stac-item
2020-04-11 11:55:45	ga_s2am_ard_3-2-1_50JKP_2020-04-11_final.stac-item
2020-06-07 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-06-07_final.stac-item
2020-06-07 11:46:29	ga_s2am_ard_3-2-1_50JNL_2020-06-07_final.stac-item
2020-08-19 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-08-19_final.stac-item
2020-09-21 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-09-21_final.stac-item
2020-11-17 11:56:39	ga_s2am_ard_3-2-1_50HMK_2020-11-17_final.stac-item
2020-12-14 11:46:23	ga_s2am_ard_3-2-1_50JML_2020-12-14_final.stac-item
2020-12-24 11:46:14	ga_s2am_ard_3-2-1_50JQL_2020-12-24_final.stac-item
2020-12-30 12:05:37	ga_s2am_ard_3-2-1_50JLP_2020-12-30_final.stac-item
2021-01-06 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-01-06_final.stac-item
2021-03-14 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2021-03-14_final.stac-item
2021-04-16 11:56:16	ga_s2am_ard_3-2-1_50JML_2021-04-16_final.stac-item
2021-06-18 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-06-18_final.stac-item
2021-07-08 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-07-08_final.stac-item
2021-07-15 11:54:40	ga_s2am_ard_3-2-1_50JNT_2021-07-15_final.stac-item
2021-07-28 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-07-28_final.stac-item
2021-09-23 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-09-23_final.stac-item
2021-09-26 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-09-26_final.stac-item
2021-09-30 11:46:13	ga_s2am_ard_3-2-1_50JNM_2021-09-30_final.stac-item
2021-10-07 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2021-10-07_final.stac-item
2021-11-12 11:55:48	ga_s2am_ard_3-2-1_50JKP_2021-11-12_final.stac-item
2021-11-25 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-11-25_final.stac-item
2021-12-09 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-12-09_final.stac-item
2022-01-07 12:14:43	ga_s2am_ard_3-2-1_49JGN_2022-01-07_final.stac-item
2022-02-10 11:56:10	ga_s2am_ard_3-2-1_50JLM_2022-02-10_final.stac-item
2022-03-22 11:55:49	ga_s2am_ard_3-2-1_50JKP_2022-03-22_final.stac-item
2022-05-28 11:47:14	ga_s2am_ard_3-2-1_50HNH_2022-05-28_final.stac-item
2022-06-13 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-06-13_final.stac-item
2022-08-13 11:36:38	ga_s2am_ard_3-2-1_50JPL_2022-08-13_final.stac-item
2022-08-19 11:55:59	ga_s2am_ard_3-2-1_50JKP_2022-08-19_final.stac-item
2022-09-28 11:55:49	ga_s2am_ard_3-2-1_50JLP_2022-09-28_final.stac-item
2022-11-07 11:55:57	ga_s2am_ard_3-2-1_50JMN_2022-11-07_final.stac-item
2022-12-03 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-12-03_final.stac-item
2023-01-13 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-01-13_final.stac-item
2023-01-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2023-01-26_final.stac-item
2023-02-08 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-02-08_final
2023-03-04 11:46:34	ga_s2am_ard_3-2-1_50HNK_2023-03-04_final
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final
2023-08-11 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-08-11_final
2023-08-14 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-08-14_final
2023-09-10 11:46:20	ga_s2am_ard_3-2-1_50JQL_2023-09-10_final
2023-10-20 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-10-20_final
2023-10-30 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-10-30_final
2023-12-28 12:13:55	ga_s2am_ard_3-2-1_49KGR_2023-12-28_final
2024-02-03 12:05:25	ga_s2am_ard_3-2-1_49JGK_2024-02-03_final
2024-02-27 11:47:06	ga_s2am_ard_3-2-1_50HNH_2024-02-27_final
2024-04-03 12:04:40	ga_s2am_ard_3-2-1_50JKT_2024-04-03_final
2024-04-04 11:36:35	ga_s2am_ard_3-2-1_50HPK_2024-04-04_final
2024-04-10 11:57:13	ga_s2am_ard_3-2-1_50HKH_2024-04-10_nrt

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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