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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKP_2015-10-28_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGP_2015-12-30_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-21_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JNL_2017-02-16_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLJ_2017-02-26_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKP_2017-03-11_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JMM_2017-06-06_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNJ_2017-06-13_final.stac-item
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JNM_2017-07-26_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JNS_2017-08-25_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50JMM_2018-01-02_final.stac-item
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JKR_2018-01-15_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLM_2018-02-11_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-02-24_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMP_2018-05-02_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKS_2018-05-05_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKR_2018-05-25_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JML_2018-05-29_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HMJ_2018-06-11_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLJ_2018-06-21_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-07-24_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-16_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2018-09-05_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPH_2018-10-16_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-10-16_final.stac-item
2018-12-11 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-11_final.stac-item
2018-12-18 11:56:05	ga_s2am_ard_3-2-1_50JKM_2018-12-18_final.stac-item
2018-12-28 11:56:15	ga_s2am_ard_3-2-1_50JML_2018-12-28_final.stac-item
2019-01-17 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-01-17_final.stac-item
2019-03-28 11:56:10	ga_s2am_ard_3-2-1_50JLM_2019-03-28_final.stac-item
2019-04-03 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-04-03_final.stac-item
2019-05-14 11:47:06	ga_s2am_ard_3-2-1_50HPH_2019-05-14_final.stac-item
2019-06-12 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-06-12_final.stac-item
2019-06-22 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-06-22_final.stac-item
2019-07-06 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-06_final.stac-item
2019-07-23 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-23_final.stac-item
2019-11-10 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-11-10_final.stac-item
2019-12-13 11:55:52	ga_s2am_ard_3-2-1_50JLN_2019-12-13_final.stac-item
2020-01-12 11:54:46	ga_s2am_ard_3-2-1_50JNS_2020-01-12_final.stac-item
2020-01-12 11:56:12	ga_s2am_ard_3-2-1_50JNL_2020-01-12_final.stac-item
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final.stac-item
2020-02-24 12:05:06	ga_s2am_ard_3-2-1_50JKR_2020-02-24_final.stac-item
2020-02-27 12:14:22	ga_s2am_ard_3-2-1_49KGP_2020-02-27_final.stac-item
2020-03-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-18_final.stac-item
2020-03-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-22_final.stac-item
2020-03-25 12:04:39	ga_s2am_ard_3-2-1_50JKT_2020-03-25_final.stac-item
2020-04-04 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-04-04_final.stac-item
2020-04-15 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-04-15_final.stac-item
2020-05-07 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-05-07_final.stac-item
2020-05-18 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-05-18_final.stac-item
2020-05-27 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-05-27_final.stac-item
2020-06-17 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-06-17_final.stac-item
2020-10-05 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-05_final.stac-item
2020-11-07 11:56:15	ga_s2am_ard_3-2-1_50JLM_2020-11-07_final.stac-item
2020-11-10 12:06:08	ga_s2am_ard_3-2-1_50JLM_2020-11-10_final.stac-item
2020-12-17 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-12-17_final.stac-item
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final.stac-item
2021-02-28 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-02-28_final.stac-item
2021-04-10 11:36:29	ga_s2am_ard_3-2-1_50HQK_2021-04-10_final.stac-item
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final.stac-item
2021-05-03 11:47:04	ga_s2am_ard_3-2-1_50HNH_2021-05-03_final.stac-item
2021-05-19 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-05-19_final.stac-item
2021-06-19 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-19_final.stac-item
2021-06-28 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-06-28_final.stac-item
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final.stac-item
2021-10-29 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-10-29_final.stac-item
2021-11-02 11:56:08	ga_s2am_ard_3-2-1_50JNM_2021-11-02_final.stac-item
2021-12-05 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-12-05_final.stac-item
2022-01-11 11:55:57	ga_s2am_ard_3-2-1_50JLN_2022-01-11_final.stac-item
2022-03-18 12:14:45	ga_s2am_ard_3-2-1_49JGN_2022-03-18_final.stac-item
2022-04-24 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-04-24_final.stac-item
2022-05-21 11:56:02	ga_s2am_ard_3-2-1_50JKN_2022-05-21_final.stac-item
2022-05-25 11:36:59	ga_s2am_ard_3-2-1_50HPJ_2022-05-25_final.stac-item
2022-06-24 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-06-24_final.stac-item
2022-07-10 11:55:59	ga_s2am_ard_3-2-1_50JKP_2022-07-10_final.stac-item
2022-09-18 11:56:02	ga_s2am_ard_3-2-1_50JMN_2022-09-18_final.stac-item
2022-11-04 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-11-04_final.stac-item
2022-12-27 11:56:03	ga_s2am_ard_3-2-1_50JNM_2022-12-27_final.stac-item
2023-01-03 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-01-03_final.stac-item
2023-01-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-01-29_final.stac-item
2023-02-25 11:56:16	ga_s2am_ard_3-2-1_50JNL_2023-02-25_final
2023-03-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2023-03-17_final
2023-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-05-12_final
2023-05-16 11:56:19	ga_s2am_ard_3-2-1_50JNL_2023-05-16_final
2023-06-08 12:05:18	ga_s2am_ard_3-2-1_49JGL_2023-06-08_final
2023-07-08 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-07-08_final
2023-07-12 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-07-12_final
2023-07-21 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-07-21_final
2023-08-31 11:46:18	ga_s2am_ard_3-2-1_50JMM_2023-08-31_final
2023-11-02 11:55:55	ga_s2am_ard_3-2-1_50JLN_2023-11-02_final
2023-11-09 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-11-09_final
2023-11-15 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-11-15_final
2023-12-05 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2023-12-05_final
2023-12-12 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-12-12_final
2023-12-22 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-12-22_final
2024-01-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2024-01-15_final
2024-01-18 11:46:57	ga_s2am_ard_3-2-1_50HNH_2024-01-18_final
2024-04-10 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-04-10_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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