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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JKM_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMJ_2015-12-04_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLP_2016-03-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMH_2016-10-26_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
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JLN_2017-10-17_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-11-26_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMM_2017-12-03_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50JMM_2018-04-19_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-04-25_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLN_2018-05-02_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JML_2018-05-19_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-06-17_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMN_2018-06-21_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGM_2018-07-27_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-28_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLH_2018-07-31_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPJ_2018-08-07_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLL_2018-10-19_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMM_2018-10-19_final.stac-item
2019-01-07 11:55:54	ga_s2am_ard_3-2-1_50JKN_2019-01-07_final.stac-item
2019-01-17 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-01-17_final.stac-item
2019-03-01 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-01_final.stac-item
2019-03-05 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-03-05_final.stac-item
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2019-04-14_final.stac-item
2019-04-14 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-04-14_final.stac-item
2019-07-16 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-07-16_final.stac-item
2019-07-26 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-26_final.stac-item
2019-08-01 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-08-01_final.stac-item
2019-08-05 11:56:30	ga_s2am_ard_3-2-1_50JLL_2019-08-05_final.stac-item
2019-08-08 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-08-08_final.stac-item
2019-08-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-08-18_final.stac-item
2019-08-18 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-08-18_final.stac-item
2019-10-01 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2019-10-01_final.stac-item
2019-10-31 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-10-31_final.stac-item
2019-11-19 12:15:01	ga_s2am_ard_3-2-1_49JFM_2019-11-19_final.stac-item
2020-01-18 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-01-18_final.stac-item
2020-01-25 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-01-25_final.stac-item
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final.stac-item
2020-03-05 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-03-05_final.stac-item
2020-03-19 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-19_final.stac-item
2020-06-07 11:47:09	ga_s2am_ard_3-2-1_50HPH_2020-06-07_final.stac-item
2020-06-10 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-06-10_final.stac-item
2020-06-23 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-06-23_final.stac-item
2020-09-05 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-09-05_final.stac-item
2020-09-28 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-09-28_final.stac-item
2020-10-01 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-01_final.stac-item
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final.stac-item
2020-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2020-12-20_final.stac-item
2021-01-09 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-09_final.stac-item
2021-02-12 11:46:32	ga_s2am_ard_3-2-1_50HPK_2021-02-12_final.stac-item
2021-03-11 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-03-11_final.stac-item
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final.stac-item
2021-05-29 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-05-29_final.stac-item
2021-06-01 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-01_final.stac-item
2021-06-08 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-06-08_final.stac-item
2021-07-19 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-07-19_final.stac-item
2021-07-29 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-07-29_final.stac-item
2021-12-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-12_final.stac-item
2021-12-15 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-12-15_final.stac-item
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final.stac-item
2022-05-04 12:04:47	ga_s2am_ard_3-2-1_49JHN_2022-05-04_final.stac-item
2022-05-31 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-05-31_final.stac-item
2022-05-31 11:57:14	ga_s2am_ard_3-2-1_50HMH_2022-05-31_final.stac-item
2022-06-10 11:56:05	ga_s2am_ard_3-2-1_50JLN_2022-06-10_final.stac-item
2022-06-24 11:37:01	ga_s2am_ard_3-2-1_50HQJ_2022-06-24_final.stac-item
2022-07-14 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-07-14_final.stac-item
2022-07-30 11:56:17	ga_s2am_ard_3-2-1_50JMM_2022-07-30_final.stac-item
2022-08-03 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-08-03_final.stac-item
2022-08-06 11:47:13	ga_s2am_ard_3-2-1_50HPH_2022-08-06_final.stac-item
2022-08-09 11:56:08	ga_s2am_ard_3-2-1_50JLN_2022-08-09_final.stac-item
2022-09-01 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-09-01_final.stac-item
2022-09-11 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-09-11_final.stac-item
2022-09-25 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-09-25_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2022-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2022-11-14_final.stac-item
2022-11-17 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-11-17_final.stac-item
2022-12-27 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-27_final.stac-item
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-01-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-01-19_final.stac-item
2023-01-20 11:37:12	ga_s2am_ard_3-2-1_50HQG_2023-01-20_final
2023-02-22 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-22_nrt.stac-item
2023-03-04 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-03-04_final
2023-04-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-04-13_final
2023-05-19 12:04:44	ga_s2am_ard_3-2-1_49JHN_2023-05-19_final
2023-07-12 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-07-12_final
2023-08-04 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-08-04_final
2023-10-03 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-10-03_final
2023-10-06 12:04:00	ga_s2am_ard_3-2-1_49KHR_2023-10-06_final
2023-10-23 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-10-23_final
2023-11-05 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-11-05_final
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final
2024-01-05 11:37:17	ga_s2am_ard_3-2-1_50HPG_2024-01-05_final
2024-01-31 11:56:35	ga_s2am_ard_3-2-1_50HLK_2024-01-31_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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