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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JUF_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KRA_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HVD_2016-05-03_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JQL_2016-05-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JPL_2016-05-29_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-08-03_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLM_2016-09-19_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JNR_2017-02-13_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLJ_2017-04-07_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLL_2017-07-16_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JQL_2017-09-21_final
2017-12-06 12:03:42	ga_s2am_ard_3-2-1_50KKA_2017-12-06_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQN_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMH_2018-01-12_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLJ_2018-02-01_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTD_2018-07-05_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-28_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUC_2018-08-04_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUD_2018-08-04_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKP_2018-09-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-11-28 11:52:11	ga_s2am_ard_3-2-1_50KQG_2018-11-28_final.stac-item
2018-12-02 11:36:49	ga_s2am_ard_3-2-1_51HUC_2018-12-02_final
2018-12-28 11:56:19	ga_s2am_ard_3-2-1_50JLL_2018-12-28_final
2019-01-17 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-01-17_final
2019-01-30 12:05:38	ga_s2am_ard_3-2-1_50JKP_2019-01-30_final
2019-02-06 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-02-06_final
2019-02-16 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-02-16_final.stac-item
2019-03-08 11:56:24	ga_s2am_ard_3-2-1_50HNK_2019-03-08_final
2019-03-14 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-03-14_final
2019-03-25 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-03-25_final.stac-item
2019-04-01 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-04-01_final
2019-05-27 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-27_final.stac-item
2019-06-06 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-06-06_final.stac-item
2019-06-09 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-06-09_final
2019-09-28 11:34:16	ga_s2am_ard_3-2-1_51JXN_2019-09-28_final
2019-11-21 11:16:38	ga_s2am_ard_3-2-1_51HYD_2019-11-21_final
2019-11-23 11:53:25	ga_s2am_ard_3-2-1_50KNC_2019-11-23_final
2019-12-03 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-12-03_final
2019-12-10 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-12-10_final.stac-item
2020-01-02 11:53:15	ga_s2am_ard_3-2-1_50KPC_2020-01-02_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-02-28 11:46:10	ga_s2am_ard_3-2-1_50JQL_2020-02-28_final
2020-03-12 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-03-12_final
2020-05-08 11:46:12	ga_s2am_ard_3-2-1_50JNM_2020-05-08_final
2020-06-13 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-13_final
2020-07-30 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-07-30_final
2020-08-12 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-08-12_final
2020-08-29 11:53:08	ga_s2am_ard_3-2-1_50KQD_2020-08-29_final.stac-item
2020-09-05 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-09-05_final
2020-10-01 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-01_final
2020-11-01 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-11-01_final
2020-11-10 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-11-10_final
2020-11-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2020-11-20_final
2020-11-27 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-11-27_final
2020-11-28 11:25:10	ga_s2am_ard_3-2-1_51JXK_2020-11-28_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2020-12-20_final
2021-01-12 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-01-12_final
2021-01-26 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-01-26_final.stac-item
2021-02-25 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-02-25_final.stac-item
2021-03-11 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-03-11_final
2021-04-10 11:37:01	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-27 11:26:55	ga_s2am_ard_3-2-1_51HVC_2021-04-27_final
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final
2021-05-23 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-05-23_final
2021-07-29 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final
2021-08-24 11:53:13	ga_s2am_ard_3-2-1_50KRC_2021-08-24_final
2021-08-31 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-08-31_final.stac-item
2021-11-02 11:52:24	ga_s2am_ard_3-2-1_50KQG_2021-11-02_final.stac-item
2021-12-29 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-12-29_final
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-02-03_final
2022-02-23 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-02-23_final
2022-02-26 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-02-26_final
2022-04-05 11:36:33	ga_s2am_ard_3-2-1_50HPK_2022-04-05_final
2022-04-22 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-04-22_final
2022-05-11 11:55:57	ga_s2am_ard_3-2-1_50JMN_2022-05-11_final
2022-09-08 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-09-08_final.stac-item
2022-09-12 11:36:21	ga_s2am_ard_3-2-1_51JVF_2022-09-12_final.stac-item
2022-12-11 11:36:47	ga_s2am_ard_3-2-1_51HTD_2022-12-11_final.stac-item
2022-12-31 11:37:02	ga_s2am_ard_3-2-1_50HQH_2022-12-31_final.stac-item
2023-01-23 11:44:27	ga_s2am_ard_3-2-1_50JRT_2023-01-23_final.stac-item
2023-01-29 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-01-29_final.stac-item
2023-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-03-21_final.stac-item
2023-03-28 11:26:44	ga_s2am_ard_3-2-1_51HVD_2023-03-28_final.stac-item
2023-06-26 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-06-26_final.stac-item
2023-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-07-05_final.stac-item
2023-07-15 11:52:25	ga_s2am_ard_3-2-1_50KQG_2023-07-15_final.stac-item
2023-08-11 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-08-11_final.stac-item
2023-09-06 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-09-06_final.stac-item
2023-09-16 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-09-16_final.stac-item
2023-09-17 11:36:27	ga_s2am_ard_3-2-1_51HVE_2023-09-17_final.stac-item
2024-01-21 11:52:12	ga_s2am_ard_3-2-1_50KQG_2024-01-21_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_50KKA_2024-01-27_final.stac-item
2024-02-23 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-02-23_final.stac-item
2024-04-03 12:05:53	ga_s2am_ard_3-2-1_50JKN_2024-04-03_final.stac-item
2024-05-11 11:27:01	ga_s2am_ard_3-2-1_51HVC_2024-05-11_final.stac-item
2024-05-24 11:36:45	ga_s2am_ard_3-2-1_51HTD_2024-05-24_nrt.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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