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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHQ_2015-12-17_final.stac-item
2016-02-05 12:03:44	ga_s2am_ard_3-2-1_49KHR_2016-02-05_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHN_2016-04-15_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNK_2016-09-06_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKN_2016-09-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-02_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-10-19_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMK_2016-12-08_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMJ_2016-12-25_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLJ_2017-01-07_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-01-20_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HMK_2017-02-13_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HLH_2017-03-05_final.stac-item
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-03_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-11_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final.stac-item
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGL_2017-06-12_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-08-01_final.stac-item
2017-09-20 12:13:39	ga_s2am_ard_3-2-1_49KGR_2017-09-20_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGL_2017-09-30_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGQ_2017-09-30_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-09-30_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLH_2017-10-31_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-01-15_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKQ_2018-04-05_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKP_2018-05-05_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-06-17_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-09-12_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMJ_2018-09-19_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMJ_2018-10-29_final.stac-item
2018-11-08 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2018-11-08_final.stac-item
2019-02-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2019-02-03_final.stac-item
2019-02-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2019-02-23_final.stac-item
2019-03-15 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-03-15_final.stac-item
2019-03-31 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2019-03-31_final.stac-item
2019-04-10 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-04-10_final.stac-item
2019-04-10 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2019-04-10_final.stac-item
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final.stac-item
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNJ_2020-02-18_final.stac-item
2020-03-05 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-05_final.stac-item
2020-03-06 11:36:34	ga_s2am_ard_3-2-1_50HPK_2020-03-06_final.stac-item
2020-04-04 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-04-04_final.stac-item
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final.stac-item
2020-04-17 12:15:10	ga_s2am_ard_3-2-1_49JGL_2020-04-17_final.stac-item
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final.stac-item
2020-05-27 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-05-27_final.stac-item
2020-06-06 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-06_final.stac-item
2020-06-16 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2020-06-16_final.stac-item
2020-07-03 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-03_final.stac-item
2020-09-11 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-09-11_final.stac-item
2020-10-04 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final.stac-item
2020-10-08 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-10-08_final.stac-item
2020-10-11 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-11_final.stac-item
2021-01-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-01-03_final.stac-item
2021-01-19 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-01-19_final.stac-item
2021-01-20 11:36:39	ga_s2am_ard_3-2-1_50HPK_2021-01-20_final.stac-item
2021-03-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-03-07_final.stac-item
2021-04-09 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2021-04-09_final.stac-item
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final.stac-item
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final.stac-item
2021-06-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-01_final.stac-item
2021-06-01 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final.stac-item
2021-06-15 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-15_final.stac-item
2021-06-22 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-06-22_final.stac-item
2021-07-15 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-15_final.stac-item
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final.stac-item
2021-11-12 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-11-12_final
2021-11-15 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-11-15_final.stac-item
2022-03-09 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-03-09_final.stac-item
2022-05-05 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-05_final.stac-item
2022-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-05-07_final.stac-item
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final.stac-item
2022-06-30 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-06-30_final.stac-item
2022-10-15 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-10-15_final.stac-item
2022-11-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2022-11-03_final.stac-item
2023-01-03 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-01-03_final.stac-item
2023-01-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-01-19_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_nrt.stac-item
2023-02-18 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-02-18_nrt.stac-item
2023-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-03-27_final
2023-04-06 11:55:46	ga_s2am_ard_3-2-1_50JKP_2023-04-06_final
2023-05-13 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-05-13_final
2023-05-29 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-05-29_final
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final
2023-06-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-19_final
2023-07-29 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-07-29_final
2023-09-07 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2023-09-07_final
2023-09-10 11:47:26	ga_s2am_ard_3-2-1_50HNG_2023-09-10_final
2023-09-30 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-30_final
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKP_2023-10-03_final
2023-12-12 11:57:04	ga_s2am_ard_3-2-1_50HLH_2023-12-12_final
2023-12-19 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-12-19_final
2024-01-04 12:04:39	ga_s2am_ard_3-2-1_49JHN_2024-01-04_final
2024-03-24 12:05:42	ga_s2am_ard_3-2-1_50JKP_2024-03-24_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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