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
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JPL_2016-06-18_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLJ_2016-10-29_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNL_2016-10-29_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLH_2017-01-24_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMJ_2017-04-07_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JFM_2017-06-02_final.stac-item
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPJ_2017-10-11_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLJ_2017-12-03_final.stac-item
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLJ_2018-05-02_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JKN_2018-05-02_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMN_2018-05-02_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLP_2018-05-15_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQH_2018-05-26_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JNM_2018-06-08_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPH_2018-06-15_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKP_2018-06-24_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKP_2018-07-01_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_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
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKP_2018-09-19_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKN_2018-09-29_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JQL_2018-10-06_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-10-16_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLH_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKP_2018-10-29_final.stac-item
2018-11-18 11:56:05	ga_s2am_ard_3-2-1_50JLM_2018-11-18_final.stac-item
2019-01-24 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-01-24_final.stac-item
2019-01-30 12:05:38	ga_s2am_ard_3-2-1_50JKP_2019-01-30_final.stac-item
2019-02-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-02-16_final.stac-item
2019-04-10 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-04-10_final.stac-item
2019-05-27 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-05-27_final.stac-item
2019-05-31 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2019-05-31_final.stac-item
2019-06-16 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-06-16_final.stac-item
2019-06-19 12:05:45	ga_s2am_ard_3-2-1_50JKP_2019-06-19_final.stac-item
2019-09-01 11:46:26	ga_s2am_ard_3-2-1_50JML_2019-09-01_final.stac-item
2019-10-30 12:15:05	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final.stac-item
2019-10-31 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-10-31_final.stac-item
2019-11-20 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-11-20_final.stac-item
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final.stac-item
2019-11-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-11-30_final.stac-item
2019-12-30 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-12-30_final.stac-item
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final.stac-item
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final.stac-item
2020-02-15 11:34:30	ga_s2am_ard_3-2-1_50JRT_2020-02-15_final.stac-item
2020-02-18 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final.stac-item
2020-02-18 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-02-18_final.stac-item
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final.stac-item
2020-06-10 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-06-10_final.stac-item
2020-06-20 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-06-20_final.stac-item
2020-07-13 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-13_final.stac-item
2020-08-05 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-08-05_final.stac-item
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final.stac-item
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final.stac-item
2020-12-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-17_final.stac-item
2021-01-09 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-01-09_final.stac-item
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-01-22_final.stac-item
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final.stac-item
2021-02-25 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-02-25_final.stac-item
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-02-28_final.stac-item
2021-03-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-03-21_final
2021-03-27 11:57:04	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final.stac-item
2021-04-10 11:37:01	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final.stac-item
2021-04-23 11:46:15	ga_s2am_ard_3-2-1_50JPL_2021-04-23_final.stac-item
2021-06-15 11:56:04	ga_s2am_ard_3-2-1_50JNM_2021-06-15_final.stac-item
2021-06-15 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-06-15_final.stac-item
2021-06-19 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-19_final.stac-item
2021-06-22 11:45:04	ga_s2am_ard_3-2-1_50JQR_2021-06-22_final.stac-item
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final.stac-item
2021-07-15 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-07-15_final.stac-item
2021-08-17 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-08-17_final.stac-item
2021-11-18 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-11-18_final.stac-item
2021-12-09 11:47:23	ga_s2am_ard_3-2-1_50HMG_2021-12-09_final
2021-12-16 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-12-16_final.stac-item
2022-01-24 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-01-24_final.stac-item
2022-02-10 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-02-10_final.stac-item
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_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 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-05-31_final.stac-item
2022-09-08 11:56:22	ga_s2am_ard_3-2-1_50JLM_2022-09-08_final.stac-item
2022-10-31 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-10-31_final.stac-item
2023-02-01 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-01_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-04-13 11:46:26	ga_s2am_ard_3-2-1_50JML_2023-04-13_final
2023-05-10 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-05-10_final
2023-06-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-08_final
2023-08-17 12:06:01	ga_s2am_ard_3-2-1_50JKN_2023-08-17_final
2023-10-20 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-10-20_final
2024-01-18 11:44:22	ga_s2am_ard_3-2-1_50JRT_2024-01-18_final
2024-02-03 12:03:55	ga_s2am_ard_3-2-1_49KHR_2024-02-03_final
2024-03-24 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-03-24_final
2024-04-03 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-04-03_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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