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
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50HLK_2015-11-24_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HLK_2016-02-12_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQP_2016-06-18_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KKV_2016-07-14_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HLK_2016-07-31_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2016-09-12_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HPJ_2016-11-02_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMM_2016-11-28_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KKU_2017-01-20_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JPP_2017-02-16_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JGM_2017-03-01_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HPK_2017-03-05_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JMM_2017-03-18_final.stac-item
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50JMM_2017-05-07_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQK_2017-07-03_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JPL_2017-08-12_final.stac-item
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HPK_2017-10-18_final.stac-item
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50HLK_2017-12-13_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKQ_2018-01-05_final.stac-item
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50JMM_2018-02-01_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-02-14_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGK_2018-03-16_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLJ_2018-03-23_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50KLB_2018-04-15_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JPM_2018-09-06_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-05_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-11-01_final.stac-item
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_49KHR_2018-12-01_final.stac-item
2018-12-18 11:55:51	ga_s2am_ard_3-2-1_50JKN_2018-12-18_final.stac-item
2018-12-28 11:55:39	ga_s2am_ard_3-2-1_50JKP_2018-12-28_final.stac-item
2019-01-24 11:45:50	ga_s2am_ard_3-2-1_50JNN_2019-01-24_final.stac-item
2019-02-06 11:55:53	ga_s2am_ard_3-2-1_50JLN_2019-02-06_final.stac-item
2019-02-06 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-02-06_final.stac-item
2019-02-26 11:56:21	ga_s2am_ard_3-2-1_50JLL_2019-02-26_final.stac-item
2019-04-10 12:04:33	ga_s2am_ard_3-2-1_49KGP_2019-04-10_final.stac-item
2019-04-17 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-04-17_final.stac-item
2019-04-20 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-04-20_final.stac-item
2019-04-21 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-04-21_final.stac-item
2019-05-07 11:55:06	ga_s2am_ard_3-2-1_50JPR_2019-05-07_final.stac-item
2019-05-07 11:56:15	ga_s2am_ard_3-2-1_50JLM_2019-05-07_final.stac-item
2019-06-23 11:44:38	ga_s2am_ard_3-2-1_50JQT_2019-06-23_final.stac-item
2019-07-09 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-09_final.stac-item
2019-07-20 11:36:25	ga_s2am_ard_3-2-1_50JQL_2019-07-20_final.stac-item
2019-07-20 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-20_final.stac-item
2019-07-22 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-22_final.stac-item
2019-07-23 11:46:28	ga_s2am_ard_3-2-1_50JNL_2019-07-23_final.stac-item
2019-08-29 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2019-08-29_final.stac-item
2019-10-18 11:36:23	ga_s2am_ard_3-2-1_50JQL_2019-10-18_final.stac-item
2019-10-28 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-10-28_final.stac-item
2019-11-07 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-11-07_final.stac-item
2020-02-05 11:35:57	ga_s2am_ard_3-2-1_50JQM_2020-02-05_final.stac-item
2020-04-14 12:04:56	ga_s2am_ard_3-2-1_50JKS_2020-04-14_final.stac-item
2020-07-13 12:04:03	ga_s2am_ard_3-2-1_50KKA_2020-07-13_final.stac-item
2020-09-18 11:55:51	ga_s2am_ard_3-2-1_50JKP_2020-09-18_final.stac-item
2020-11-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2020-11-13_final.stac-item
2020-12-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-17_final.stac-item
2021-03-04 11:45:50	ga_s2am_ard_3-2-1_50JPN_2021-03-04_final.stac-item
2021-04-10 11:36:33	ga_s2am_ard_3-2-1_50HPK_2021-04-10_final.stac-item
2021-04-20 11:34:32	ga_s2am_ard_3-2-1_50JRT_2021-04-20_final.stac-item
2021-04-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2021-04-23_final.stac-item
2021-05-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-05-09_final.stac-item
2021-06-22 11:45:37	ga_s2am_ard_3-2-1_50JPP_2021-06-22_final.stac-item
2021-07-02 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-07-02_final.stac-item
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final.stac-item
2021-09-16 12:05:10	ga_s2am_ard_3-2-1_50JLR_2021-09-16_final.stac-item
2021-09-26 12:05:01	ga_s2am_ard_3-2-1_50JKS_2021-09-26_final.stac-item
2021-09-26 12:05:12	ga_s2am_ard_3-2-1_50JLR_2021-09-26_final.stac-item
2021-09-30 11:46:23	ga_s2am_ard_3-2-1_50JPL_2021-09-30_final.stac-item
2021-10-09 12:14:00	ga_s2am_ard_3-2-1_49KHR_2021-10-09_final.stac-item
2021-10-23 11:56:23	ga_s2am_ard_3-2-1_50JNL_2021-10-23_final.stac-item
2021-12-19 11:45:36	ga_s2am_ard_3-2-1_50JPP_2021-12-19_final.stac-item
2021-12-22 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-12-22_final.stac-item
2022-01-08 11:44:32	ga_s2am_ard_3-2-1_50JRT_2022-01-08_final.stac-item
2022-01-24 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-01-24_final.stac-item
2022-05-01 11:56:23	ga_s2am_ard_3-2-1_50JNL_2022-05-01_final.stac-item
2022-06-14 11:37:13	ga_s2am_ard_3-2-1_50HQH_2022-06-14_final.stac-item
2022-06-14 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-06-14_final.stac-item
2022-06-30 11:56:17	ga_s2am_ard_3-2-1_50JNM_2022-06-30_final.stac-item
2022-07-13 12:03:54	ga_s2am_ard_3-2-1_50KLB_2022-07-13_final.stac-item
2022-07-30 11:57:15	ga_s2am_ard_3-2-1_50HMH_2022-07-30_final.stac-item
2023-01-29 12:05:49	ga_s2am_ard_3-2-1_50JLN_2023-01-29_final.stac-item
2023-02-11 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-11_final
2023-03-01 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-03-01_final
2023-04-29 12:03:59	ga_s2am_ard_3-2-1_50KKA_2023-04-29_final
2023-05-03 11:46:34	ga_s2am_ard_3-2-1_50HPK_2023-05-03_final
2023-05-09 12:04:53	ga_s2am_ard_3-2-1_50JLS_2023-05-09_final
2023-05-16 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-05-16_final
2023-05-19 12:05:17	ga_s2am_ard_3-2-1_49JGL_2023-05-19_final
2023-06-02 11:45:50	ga_s2am_ard_3-2-1_50JQN_2023-06-02_final
2023-08-28 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-08-28_final
2023-09-17 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2023-09-17_final
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_final
2023-12-02 11:55:51	ga_s2am_ard_3-2-1_50JKN_2023-12-02_final
2023-12-15 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2023-12-15_final
2023-12-19 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-12-19_final
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final
2024-02-07 11:46:33	ga_s2am_ard_3-2-1_50HQK_2024-02-07_final
2024-03-21 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-03-21_final
2024-04-10 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-04-10_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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