Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGM_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKR_2015-10-28_final.stac-item
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50HLK_2015-11-24_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMK_2015-12-04_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMJ_2016-01-03_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JHN_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLG_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMG_2016-04-19_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKS_2016-05-05_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGK_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGK_2016-09-12_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HLK_2016-09-29_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JKT_2016-10-02_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JKM_2017-02-19_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HNK_2017-02-26_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLJ_2017-12-23_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMG_2018-01-19_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMG_2018-03-13_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKN_2018-04-05_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKS_2018-04-05_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-04-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-04-28_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKP_2018-05-15_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKP_2018-05-25_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-28_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQK_2018-06-08_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-09-12_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMK_2018-09-19_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLJ_2018-10-09_final
2019-02-03 11:46:31	ga_s2am_ard_3-2-1_50HPK_2019-02-03_final
2019-03-15 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-03-15_final
2019-03-31 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-03-31_final
2019-05-20 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-05-20_final
2019-09-27 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-09-27_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-12-06 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-12-06_final
2019-12-20 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-20_final
2020-01-29 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-01-29_final
2020-02-11 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2020-02-11_final
2020-02-15 11:37:11	ga_s2am_ard_3-2-1_50HQG_2020-02-15_final.stac-item
2020-02-18 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-02-18_final
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-04-04_final
2020-04-07 12:14:53	ga_s2am_ard_3-2-1_49JGM_2020-04-07_final
2020-04-07 12:15:08	ga_s2am_ard_3-2-1_49JGL_2020-04-07_final
2020-06-16 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-16_final
2020-08-15 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-15_final
2020-09-11 12:06:08	ga_s2am_ard_3-2-1_50JLM_2020-09-11_final
2020-10-25 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-25_final
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2020-12-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2020-12-14_final.stac-item
2021-01-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-23_final
2021-01-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-26_final
2021-02-02 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-02-02_final
2021-02-08 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-02-08_final
2021-02-22 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-02-22_final
2021-03-17 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-03-17_final
2021-04-09 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-04-09_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2021-12-19 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-12-19_final
2021-12-28 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-12-28_final
2022-05-24 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-05-24_final
2022-06-17 11:46:45	ga_s2am_ard_3-2-1_50HPK_2022-06-17_final
2022-09-01 12:05:38	ga_s2am_ard_3-2-1_50JKQ_2022-09-01_final.stac-item
2022-09-11 12:05:08	ga_s2am_ard_3-2-1_50JKS_2022-09-11_final.stac-item
2022-09-24 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-09-24_final.stac-item
2022-09-28 11:56:44	ga_s2am_ard_3-2-1_50HMK_2022-09-28_final.stac-item
2022-09-28 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-09-28_final.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2023-02-05 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-02-05_final.stac-item
2023-02-05 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-02-05_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_final.stac-item
2023-02-22 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-22_final.stac-item
2023-04-03 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-04-03_final.stac-item
2023-04-03 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-04-03_final.stac-item
2023-04-03 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-03_final.stac-item
2023-04-09 12:05:12	ga_s2am_ard_3-2-1_50JKR_2023-04-09_final.stac-item
2023-04-09 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-04-09_final.stac-item
2023-04-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-09_final.stac-item
2023-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-05-13_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-09-29 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-29_final.stac-item
2023-09-29 12:14:29	ga_s2am_ard_3-2-1_49KGP_2023-09-29_final.stac-item
2023-09-30 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-30_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-12-02 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2023-12-02_final.stac-item
2024-02-10 11:57:05	ga_s2am_ard_3-2-1_50HLH_2024-02-10_final.stac-item
2024-03-01 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-01_final.stac-item
2024-03-01 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-01_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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