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
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JKP_2016-04-02_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HLK_2016-08-20_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKS_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKT_2016-10-22_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HPG_2016-11-05_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQJ_2017-01-31_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-27_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-07-09_final.stac-item
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQH_2017-08-19_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKR_2017-08-28_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLR_2017-10-07_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-10-17_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKS_2017-10-17_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-04-26_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLH_2018-04-29_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JML_2018-04-29_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JLT_2018-05-12_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMS_2018-05-22_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLP_2018-06-01_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMP_2018-06-21_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JKQ_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
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-08_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-07-14_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-24_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-28_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JKN_2018-07-31_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLT_2018-08-10_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQJ_2018-08-17_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLQ_2018-08-20_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLS_2018-08-23_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQK_2018-09-03_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-05_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLR_2018-10-09_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMR_2018-10-09_final.stac-item
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-12_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-22_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JMM_2018-10-26_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HMJ_2018-10-29_final.stac-item
2018-11-08 11:55:48	ga_s2am_ard_3-2-1_50JLN_2018-11-08_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 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-11-21_final.stac-item
2018-12-08 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-08_final.stac-item
2018-12-21 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-21_final.stac-item
2019-01-04 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2019-01-04_final.stac-item
2019-01-07 11:55:04	ga_s2am_ard_3-2-1_50JMR_2019-01-07_final.stac-item
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final.stac-item
2019-02-09 12:05:45	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final.stac-item
2019-03-28 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-03-28_final.stac-item
2019-04-30 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-04-30_final.stac-item
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final.stac-item
2020-04-14 12:05:07	ga_s2am_ard_3-2-1_50JLR_2020-04-14_final.stac-item
2020-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-05-11_final.stac-item
2020-09-01 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-09-01_final.stac-item
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final.stac-item
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final.stac-item
2020-12-17 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-17_final.stac-item
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final.stac-item
2021-03-10 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-03-10_final.stac-item
2021-03-14 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-14_final
2021-03-30 12:04:55	ga_s2am_ard_3-2-1_50JKS_2021-03-30_final.stac-item
2021-03-31 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-03-31_final.stac-item
2021-04-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2021-04-26_final
2021-06-02 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-06-02_final
2021-06-08 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-06-08_final.stac-item
2021-06-15 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-06-15_final.stac-item
2021-06-15 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-06-15_final.stac-item
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final.stac-item
2021-06-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2021-06-28_final.stac-item
2021-06-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-06-28_final.stac-item
2021-06-28 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-06-28_final.stac-item
2021-07-01 12:15:08	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final.stac-item
2021-07-05 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-05_final.stac-item
2021-07-25 11:55:45	ga_s2am_ard_3-2-1_50JLP_2021-07-25_final.stac-item
2021-08-17 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-17_final.stac-item
2021-08-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final.stac-item
2021-08-17 12:05:13	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final.stac-item
2021-08-17 12:05:19	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final.stac-item
2021-08-17 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-08-17_final.stac-item
2021-08-17 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-08-17_final.stac-item
2021-08-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2021-08-27_final.stac-item
2021-10-10 11:47:22	ga_s2am_ard_3-2-1_50HPG_2021-10-10_final
2022-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-11-10_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final
2023-06-02 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-02_final
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final
2024-05-03 12:03:47	ga_s2am_ard_3-2-1_49KHS_2024-05-03_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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