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
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HWC_2016-02-10_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-09_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50JPL_2016-06-25_final.stac-item
2016-07-11 11:56:11	ga_s2am_ard_3-2-1_50HNK_2016-07-11_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HPH_2016-11-02_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-21_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-01-30_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-02_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HQJ_2017-02-03_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50KQV_2017-03-25_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQH_2017-04-21_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KRC_2017-06-06_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMH_2017-07-03_final
2017-08-11 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-08-11_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKA_2017-10-07_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLB_2017-11-26_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HVD_2018-02-02_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HQJ_2018-03-10_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPK_2018-05-16_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51HUC_2018-07-12_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50KLA_2018-10-02_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-10-15_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final
2018-11-09 11:26:50	ga_s2am_ard_3-2-1_51HWC_2018-11-09_final.stac-item
2018-11-28 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-11-28_final
2018-12-28 11:55:49	ga_s2am_ard_3-2-1_50JLN_2018-12-28_final
2019-01-24 11:44:02	ga_s2am_ard_3-2-1_50KQV_2019-01-24_final
2019-02-09 12:05:49	ga_s2am_ard_3-2-1_50JLN_2019-02-09_final
2019-02-16 11:56:14	ga_s2am_ard_3-2-1_50JNL_2019-02-16_final
2019-03-12 11:37:16	ga_s2am_ard_3-2-1_50HPG_2019-03-12_final.stac-item
2019-04-14 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-04-14_final.stac-item
2019-06-13 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-06-13_final.stac-item
2019-08-18 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-08-18_final
2019-09-01 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-09-01_final
2019-09-01 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-09-01_final
2019-10-14 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-14_final
2019-10-27 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-27_final
2019-12-27 11:37:15	ga_s2am_ard_3-2-1_50HPG_2019-12-27_final.stac-item
2020-01-09 11:44:32	ga_s2am_ard_3-2-1_50JPT_2020-01-09_final
2020-02-08 11:45:24	ga_s2am_ard_3-2-1_50JQP_2020-02-08_final
2020-03-02 11:55:52	ga_s2am_ard_3-2-1_50JLN_2020-03-02_final
2020-03-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2020-03-19_final
2020-03-22 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2020-03-22_final
2020-04-12 11:26:46	ga_s2am_ard_3-2-1_51HUD_2020-04-12_final
2020-05-04 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-05-04_final
2020-05-21 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-05-21_final
2020-05-31 11:52:44	ga_s2am_ard_3-2-1_50KPF_2020-05-31_final.stac-item
2020-06-27 11:46:28	ga_s2am_ard_3-2-1_50JNL_2020-06-27_final
2020-08-05 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-05_final
2020-08-26 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-08-26_final
2020-08-29 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-08-29_final
2021-01-06 11:54:01	ga_s2am_ard_3-2-1_50KQV_2021-01-06_final
2021-01-13 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-01-13_final
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final
2021-06-19 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-06-19_final
2021-07-18 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-18_final
2021-07-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2021-07-22_final
2021-07-25 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-25_final
2021-08-21 11:44:47	ga_s2am_ard_3-2-1_50JRS_2021-08-21_final
2021-10-10 11:43:27	ga_s2am_ard_3-2-1_50KQC_2021-10-10_final
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-26_final
2021-11-22 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-11-22_final.stac-item
2021-12-18 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-12-18_final
2021-12-26 11:36:48	ga_s2am_ard_3-2-1_51HTD_2021-12-26_final
2022-01-01 11:53:26	ga_s2am_ard_3-2-1_50KNC_2022-01-01_final
2022-01-09 11:16:42	ga_s2am_ard_3-2-1_51HXD_2022-01-09_final
2022-01-12 11:26:51	ga_s2am_ard_3-2-1_51HWC_2022-01-12_final.stac-item
2022-02-07 11:44:01	ga_s2am_ard_3-2-1_50KRV_2022-02-07_final
2022-02-20 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-02-20_final
2022-03-05 12:03:27	ga_s2am_ard_3-2-1_50KMC_2022-03-05_final
2022-03-25 12:04:59	ga_s2am_ard_3-2-1_49JHM_2022-03-25_final
2022-04-21 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-04-21_final
2022-05-08 11:43:40	ga_s2am_ard_3-2-1_50KQB_2022-05-08_final
2022-06-13 12:04:06	ga_s2am_ard_3-2-1_50KLA_2022-06-13_final
2022-09-18 11:53:26	ga_s2am_ard_3-2-1_50KQC_2022-09-18_final.stac-item
2022-09-21 12:05:19	ga_s2am_ard_3-2-1_50JKR_2022-09-21_final.stac-item
2022-11-17 11:55:15	ga_s2am_ard_3-2-1_50JLR_2022-11-17_final.stac-item
2022-11-23 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-11-23_final.stac-item
2023-01-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-01-16_final.stac-item
2023-01-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-01-19_final.stac-item
2023-03-20 12:03:25	ga_s2am_ard_3-2-1_50KLC_2023-03-20_final.stac-item
2023-04-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-06_final.stac-item
2023-06-09 11:37:06	ga_s2am_ard_3-2-1_50HQH_2023-06-09_final.stac-item
2023-07-05 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-05_final.stac-item
2023-08-21 11:43:24	ga_s2am_ard_3-2-1_50KRC_2023-08-21_final.stac-item
2023-09-27 11:36:34	ga_s2am_ard_3-2-1_51HTE_2023-09-27_final.stac-item
2023-10-19 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-19_final.stac-item
2023-10-29 12:14:27	ga_s2am_ard_3-2-1_49KGP_2023-10-29_final.stac-item
2023-11-15 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-15_final.stac-item
2023-12-09 11:44:00	ga_s2am_ard_3-2-1_50KQV_2023-12-09_final.stac-item
2023-12-15 12:05:33	ga_s2am_ard_3-2-1_50JLP_2023-12-15_final.stac-item
2024-01-18 11:43:42	ga_s2am_ard_3-2-1_50KQA_2024-01-18_final.stac-item
2024-02-23 12:06:02	ga_s2am_ard_3-2-1_50JLM_2024-02-23_final.stac-item
2024-03-28 11:44:54	ga_s2am_ard_3-2-1_50JPS_2024-03-28_final.stac-item
2024-04-03 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2024-04-03_final.stac-item
2024-04-03 12:06:02	ga_s2am_ard_3-2-1_50JLM_2024-04-03_final.stac-item
2024-04-17 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2024-04-17_final.stac-item
2024-05-10 11:53:27	ga_s2am_ard_3-2-1_50KNC_2024-05-10_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

All years