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
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2016-01-26_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JKQ_2016-04-25_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPJ_2016-05-16_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMH_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HNG_2016-06-05_final
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JLM_2016-07-31_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMG_2016-12-15_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMG_2016-12-25_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKR_2017-02-09_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-04-20_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-06-02_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKR_2017-10-07_final.stac-item
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JGN_2017-10-20_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JKP_2018-03-26_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKS_2018-05-25_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKN_2018-07-01_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPH_2018-08-17_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-09-06_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKP_2018-09-19_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_50HNK_2018-10-26_final.stac-item
2018-11-11 12:05:36	ga_s2am_ard_3-2-1_50JKP_2018-11-11_final.stac-item
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final.stac-item
2018-12-15 11:46:25	ga_s2am_ard_3-2-1_50HPK_2018-12-15_final.stac-item
2018-12-18 11:56:21	ga_s2am_ard_3-2-1_50HNK_2018-12-18_final.stac-item
2018-12-21 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-21_final.stac-item
2019-01-04 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final.stac-item
2019-01-07 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-07_final.stac-item
2019-04-07 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2019-04-07_final.stac-item
2019-05-20 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-05-20_final.stac-item
2019-08-12 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-08-12_final.stac-item
2019-10-14 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-14_final.stac-item
2019-10-24 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-24_final.stac-item
2019-10-30 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-30_final.stac-item
2019-10-31 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-31_final.stac-item
2019-12-23 11:57:00	ga_s2am_ard_3-2-1_50HMH_2019-12-23_final.stac-item
2019-12-26 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-26_final.stac-item
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final.stac-item
2020-01-18 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-18_final.stac-item
2020-01-22 11:56:07	ga_s2am_ard_3-2-1_50JKM_2020-01-22_final.stac-item
2020-02-11 11:56:33	ga_s2am_ard_3-2-1_50HLK_2020-02-11_final.stac-item
2020-02-11 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-11_final.stac-item
2020-03-02 11:55:55	ga_s2am_ard_3-2-1_50JKN_2020-03-02_final.stac-item
2020-03-05 12:05:25	ga_s2am_ard_3-2-1_49JGK_2020-03-05_final.stac-item
2020-03-12 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-03-12_final.stac-item
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final.stac-item
2020-04-18 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-04-18_final.stac-item
2020-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-05-18_final.stac-item
2020-06-27 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-06-27_final.stac-item
2020-07-06 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-07-06_final.stac-item
2020-07-30 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-07-30_final.stac-item
2020-12-07 11:57:03	ga_s2am_ard_3-2-1_50HMH_2020-12-07_final.stac-item
2020-12-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2020-12-30_final.stac-item
2021-01-06 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-06_final.stac-item
2021-01-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-01-29_final.stac-item
2021-03-10 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-03-10_final.stac-item
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-03-30_final
2021-04-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2021-04-23_final.stac-item
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final
2021-06-19 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-19_final.stac-item
2021-08-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-08-10_final.stac-item
2021-08-11 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-08-11_final.stac-item
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final.stac-item
2021-09-03 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-09-03_final.stac-item
2021-09-03 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-03_final.stac-item
2021-09-30 11:46:38	ga_s2am_ard_3-2-1_50HPK_2021-09-30_final.stac-item
2021-10-06 12:06:00	ga_s2am_ard_3-2-1_50JKN_2021-10-06_final.stac-item
2021-10-10 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2021-10-10_final.stac-item
2021-10-23 11:55:51	ga_s2am_ard_3-2-1_50JKP_2021-10-23_final.stac-item
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final
2021-12-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-12-18_final.stac-item
2022-06-13 12:04:45	ga_s2am_ard_3-2-1_49KGP_2022-06-13_final.stac-item
2022-06-17 11:47:03	ga_s2am_ard_3-2-1_50HNJ_2022-06-17_final.stac-item
2022-07-07 11:46:47	ga_s2am_ard_3-2-1_50HPK_2022-07-07_final.stac-item
2023-01-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-01-26_final.stac-item
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_nrt.stac-item
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_final
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
2023-03-31 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-31_final
2023-04-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-29_final
2023-09-26 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-09-26_final
2023-09-26 12:05:57	ga_s2am_ard_3-2-1_50JKN_2023-09-26_final
2023-11-15 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-11-15_final
2023-11-16 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-11-16_final
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_final
2024-01-24 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-24_final
2024-01-25 11:37:11	ga_s2am_ard_3-2-1_50HQG_2024-01-25_final
2024-02-16 12:14:54	ga_s2am_ard_3-2-1_49JGM_2024-02-16_final
2024-03-24 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-03-24_final
2024-03-24 12:04:00	ga_s2am_ard_3-2-1_49KHR_2024-03-24_final
2024-04-20 11:56:33	ga_s2am_ard_3-2-1_50HNK_2024-04-20_final
2024-05-20 11:56:00	ga_s2am_ard_3-2-1_50JKN_2024-05-20_nrt
2024-05-20 11:56:31	ga_s2am_ard_3-2-1_50HNK_2024-05-20_nrt

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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