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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_50KKA_2015-10-01_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPK_2016-02-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKN_2016-02-15_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KGR_2016-04-18_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHP_2016-09-12_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50KMV_2016-10-22_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JPL_2016-12-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKS_2016-12-11_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGR_2016-12-24_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNJ_2016-12-25_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HNK_2016-12-28_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JLM_2017-05-17_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNK_2017-06-13_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HQJ_2017-06-20_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JLM_2017-07-26_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JNL_2017-08-25_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KMA_2017-09-07_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KKA_2017-11-06_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JPR_2018-02-08_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-02-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLR_2018-10-09_final
2019-01-04 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-01-04_final
2019-01-10 12:03:19	ga_s2am_ard_3-2-1_50KMC_2019-01-10_final
2019-01-13 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-01-13_final
2019-02-26 11:56:13	ga_s2am_ard_3-2-1_50JNL_2019-02-26_final
2019-03-15 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-03-15_final
2019-03-18 11:56:08	ga_s2am_ard_3-2-1_50JLM_2019-03-18_final
2019-03-21 12:03:31	ga_s2am_ard_3-2-1_50KNB_2019-03-21_final
2019-04-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2019-04-01_final
2019-04-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-04-23_final
2019-04-30 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-04-30_final
2019-07-19 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-19_final
2019-07-20 11:36:43	ga_s2am_ard_3-2-1_50HPK_2019-07-20_final
2019-07-23 11:46:24	ga_s2am_ard_3-2-1_50JPL_2019-07-23_final
2019-09-27 12:04:44	ga_s2am_ard_3-2-1_50JKT_2019-09-27_final
2019-10-04 11:55:51	ga_s2am_ard_3-2-1_50JNN_2019-10-04_final
2019-10-07 12:06:12	ga_s2am_ard_3-2-1_50JKM_2019-10-07_final
2019-10-11 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-10-11_final.stac-item
2019-11-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2019-11-16_final
2020-01-15 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-15_final
2020-01-22 11:56:01	ga_s2am_ard_3-2-1_50JMM_2020-01-22_final
2020-03-05 12:05:36	ga_s2am_ard_3-2-1_50JKP_2020-03-05_final
2020-05-08 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-05-08_final.stac-item
2020-05-21 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-05-21_final
2020-06-13 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-13_final
2020-08-29 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-08-29_final.stac-item
2020-10-01 12:04:33	ga_s2am_ard_3-2-1_50KKU_2020-10-01_final
2020-12-10 12:04:36	ga_s2am_ard_3-2-1_50JLT_2020-12-10_final
2020-12-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2020-12-30_final
2021-01-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-01-09_final
2021-01-19 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-01-19_final
2021-01-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-23_final
2021-02-09 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-02-09_final
2021-04-10 11:36:22	ga_s2am_ard_3-2-1_50JPL_2021-04-10_final
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final
2021-05-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-05-26_final.stac-item
2021-06-15 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-06-15_final
2021-07-15 11:56:29	ga_s2am_ard_3-2-1_50JLL_2021-07-15_final
2021-09-07 11:37:13	ga_s2am_ard_3-2-1_50HPH_2021-09-07_final
2022-01-05 11:35:52	ga_s2am_ard_3-2-1_50JQN_2022-01-05_final
2022-01-07 12:14:28	ga_s2am_ard_3-2-1_49KGP_2022-01-07_final
2022-02-07 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2022-02-07_final
2022-02-10 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-02-10_final.stac-item
2022-02-13 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-02-13_final
2022-02-27 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2022-02-27_final
2022-03-19 11:46:26	ga_s2am_ard_3-2-1_50JNL_2022-03-19_final
2022-04-14 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final.stac-item
2022-05-07 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-05-07_final
2022-06-27 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-06-27_final
2022-07-03 12:04:12	ga_s2am_ard_3-2-1_49KHR_2022-07-03_final
2022-07-23 12:05:23	ga_s2am_ard_3-2-1_50JKR_2022-07-23_final
2022-10-01 12:03:48	ga_s2am_ard_3-2-1_50KLB_2022-10-01_final.stac-item
2022-10-18 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-10-18_final.stac-item
2022-11-03 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-11-03_final.stac-item
2022-11-21 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-11-21_final.stac-item
2022-11-30 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-11-30_final.stac-item
2022-12-03 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-12-03_final.stac-item
2022-12-14 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-12-14_final.stac-item
2022-12-17 11:54:54	ga_s2am_ard_3-2-1_50JMS_2022-12-17_final.stac-item
2023-01-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-01-23_final.stac-item
2023-01-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2023-01-30_final.stac-item
2023-02-18 12:06:01	ga_s2am_ard_3-2-1_50JLM_2023-02-18_final.stac-item
2023-04-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-04-06_final.stac-item
2023-06-05 11:55:38	ga_s2am_ard_3-2-1_50JNP_2023-06-05_final.stac-item
2023-06-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-06-19_final.stac-item
2023-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2023-08-17_final.stac-item
2023-08-21 11:46:29	ga_s2am_ard_3-2-1_50JNL_2023-08-21_final.stac-item
2023-08-31 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-31_final.stac-item
2023-10-03 11:56:20	ga_s2am_ard_3-2-1_50JNL_2023-10-03_final.stac-item
2023-10-23 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-10-23_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2024-01-14 12:04:21	ga_s2am_ard_3-2-1_49KHP_2024-01-14_final.stac-item
2024-02-13 12:04:07	ga_s2am_ard_3-2-1_50KLV_2024-02-13_final.stac-item
2024-03-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-08_final.stac-item
2024-04-23 12:04:02	ga_s2am_ard_3-2-1_50KKA_2024-04-23_final.stac-item
2024-04-23 12:04:02	ga_s2am_ard_3-2-1_49KHR_2024-04-23_final.stac-item
2024-04-23 12:05:00	ga_s2am_ard_3-2-1_49JHM_2024-04-23_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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