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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HQJ_2016-04-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKN_2016-05-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPH_2016-05-29_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JLM_2016-09-09_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-01-03_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKQ_2017-01-30_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JPL_2017-05-11_final.stac-item
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HMJ_2017-10-11_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-10-17_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JLM_2017-12-23_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLN_2018-02-11_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLH_2018-04-12_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKN_2018-05-05_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPH_2018-06-28_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLK_2018-07-11_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLM_2018-07-24_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPL_2018-08-07_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HLH_2018-11-05_final.stac-item
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final.stac-item
2019-02-26 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-02-26_final.stac-item
2019-03-21 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-03-21_final.stac-item
2019-05-24 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-05-24_final.stac-item
2019-07-09 12:05:20	ga_s2am_ard_3-2-1_49JGL_2019-07-09_final.stac-item
2019-08-31 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-08-31_final.stac-item
2019-10-14 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-10-14_final.stac-item
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final.stac-item
2019-10-27 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-10-27_final.stac-item
2019-11-27 11:34:37	ga_s2am_ard_3-2-1_50JRT_2019-11-27_final.stac-item
2019-12-16 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-16_final.stac-item
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final.stac-item
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final.stac-item
2020-05-01 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-05-01_final.stac-item
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final.stac-item
2020-07-07 11:46:17	ga_s2am_ard_3-2-1_50JMM_2020-07-07_final.stac-item
2020-07-30 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-07-30_final.stac-item
2020-08-16 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-08-16_final.stac-item
2020-08-26 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-08-26_final.stac-item
2020-10-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-10-28_final.stac-item
2020-11-17 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-11-17_final.stac-item
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final.stac-item
2020-12-04 11:44:29	ga_s2am_ard_3-2-1_50JRT_2020-12-04_final.stac-item
2020-12-17 11:55:54	ga_s2am_ard_3-2-1_50JLN_2020-12-17_final.stac-item
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final.stac-item
2021-01-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-01-29_final.stac-item
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final.stac-item
2021-02-11 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-02-11_final.stac-item
2021-02-12 11:46:32	ga_s2am_ard_3-2-1_50HPK_2021-02-12_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 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final.stac-item
2021-06-02 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-06-02_final.stac-item
2021-06-09 11:37:13	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final.stac-item
2021-07-15 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-07-15_final.stac-item
2021-07-29 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final.stac-item
2021-08-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-08-10_final.stac-item
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final.stac-item
2021-10-16 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-16_final.stac-item
2021-11-06 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-11-06_final.stac-item
2021-12-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-12-05_final.stac-item
2022-01-11 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-01-11_final.stac-item
2022-03-02 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-03-02_final.stac-item
2022-03-05 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-03-05_final.stac-item
2022-05-04 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-05-04_final.stac-item
2022-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2022-05-17_final.stac-item
2022-06-03 12:04:54	ga_s2am_ard_3-2-1_49JGN_2022-06-03_final.stac-item
2022-06-03 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-06-03_final.stac-item
2022-06-17 11:44:49	ga_s2am_ard_3-2-1_50JPT_2022-06-17_final.stac-item
2022-06-27 11:46:35	ga_s2am_ard_3-2-1_50JNL_2022-06-27_final.stac-item
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-10-11 12:05:03	ga_s2am_ard_3-2-1_50JKS_2022-10-11_final.stac-item
2022-10-24 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-10-24_final.stac-item
2022-10-31 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-10-31_final.stac-item
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-01-12 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-01-12_final.stac-item
2023-01-26 11:55:43	ga_s2am_ard_3-2-1_50JKP_2023-01-26_final.stac-item
2023-01-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-01-26_final.stac-item
2023-02-18 12:05:09	ga_s2am_ard_3-2-1_49JGL_2023-02-18_nrt.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_nrt.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final
2023-03-04 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-03-04_final
2023-04-26 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-04-26_final
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final
2023-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-05-10_final
2023-08-17 12:06:01	ga_s2am_ard_3-2-1_50JKN_2023-08-17_final
2023-09-03 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-09-03_final
2023-09-06 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-09-06_final
2023-10-27 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-10-27_final
2023-11-18 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-11-18_final
2023-12-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-12-18_final
2024-01-01 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-01-01_final
2024-01-24 12:05:34	ga_s2am_ard_3-2-1_50JKP_2024-01-24_final
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final
2024-03-04 12:05:41	ga_s2am_ard_3-2-1_50JKP_2024-03-04_final
2024-03-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-18_final
2024-03-31 11:56:17	ga_s2am_ard_3-2-1_50JNL_2024-03-31_final
2024-04-06 12:14:25	ga_s2am_ard_3-2-1_49KGP_2024-04-06_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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