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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLM_2015-10-28_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KPC_2016-02-02_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-03-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JMM_2016-03-20_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JQL_2016-04-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JQM_2016-04-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGM_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KNC_2016-05-22_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPH_2016-07-08_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JQL_2016-09-13_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLN_2016-10-29_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50KMC_2016-11-11_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JNL_2016-12-05_final.stac-item
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQH_2017-08-19_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQM_2017-09-28_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50KNC_2017-10-04_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HQJ_2018-03-17_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKN_2018-03-23_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KMB_2018-06-11_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLM_2018-06-21_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPH_2018-07-25_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50KKB_2018-09-02_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-09-29_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JPL_2018-10-06_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-10-15_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLG_2018-10-26_final.stac-item
2018-11-22 11:36:13	ga_s2am_ard_3-2-1_50JQL_2018-11-22_final
2018-12-05 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-05_final
2019-02-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-02-23_final.stac-item
2019-04-07 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-04-07_final.stac-item
2019-05-23 12:13:57	ga_s2am_ard_3-2-1_50KKA_2019-05-23_final
2019-05-27 11:53:24	ga_s2am_ard_3-2-1_50KPC_2019-05-27_final
2019-06-06 11:56:10	ga_s2am_ard_3-2-1_50JMM_2019-06-06_final
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final
2019-06-16 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-06-16_final
2019-07-06 11:53:26	ga_s2am_ard_3-2-1_50KPC_2019-07-06_final
2019-07-06 11:56:19	ga_s2am_ard_3-2-1_50JKM_2019-07-06_final
2019-07-23 11:46:42	ga_s2am_ard_3-2-1_50HNK_2019-07-23_final
2019-07-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-07-30_final.stac-item
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-12-06 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-12-06_final
2019-12-30 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-12-30_final
2020-01-22 11:55:53	ga_s2am_ard_3-2-1_50JKN_2020-01-22_final
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final
2020-02-04 12:03:36	ga_s2am_ard_3-2-1_50KKB_2020-02-04_final
2020-03-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-18_final
2020-03-22 11:54:33	ga_s2am_ard_3-2-1_50JNT_2020-03-22_final
2020-04-24 12:05:42	ga_s2am_ard_3-2-1_50JKP_2020-04-24_final
2020-06-06 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-06-06_final
2020-06-26 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-06-26_final
2020-07-07 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-07-07_final
2020-07-14 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-07-14_final
2020-08-09 11:55:12	ga_s2am_ard_3-2-1_50JNR_2020-08-09_final
2020-08-22 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-22_final
2020-09-28 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-09-28_final
2020-11-17 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-11-17_final
2020-11-27 11:56:31	ga_s2am_ard_3-2-1_50HNK_2020-11-27_final
2020-12-03 12:13:39	ga_s2am_ard_3-2-1_50KKB_2020-12-03_final
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-03 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-01-03_final
2021-01-10 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-10_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-01-19 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-19_final
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-01-22_final
2021-01-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-01-30_final.stac-item
2021-02-05 11:54:54	ga_s2am_ard_3-2-1_50JMS_2021-02-05_final
2021-02-05 11:55:06	ga_s2am_ard_3-2-1_50JNR_2021-02-05_final
2021-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-05_final
2021-02-18 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-02-18_final
2021-03-27 11:53:22	ga_s2am_ard_3-2-1_50KNC_2021-03-27_final
2021-06-19 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-19_final
2021-06-21 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-21_final
2021-06-22 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-06-22_final
2021-07-22 11:45:15	ga_s2am_ard_3-2-1_50JNR_2021-07-22_final
2021-07-22 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2021-07-22_final
2021-07-28 12:05:11	ga_s2am_ard_3-2-1_50JLR_2021-07-28_final
2021-09-16 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-09-16_final
2021-11-02 11:55:46	ga_s2am_ard_3-2-1_50JLP_2021-11-02_final
2021-11-25 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-11-25_final
2022-01-11 11:53:22	ga_s2am_ard_3-2-1_50KPC_2022-01-11_final
2022-02-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-02-23_final
2022-07-30 11:56:32	ga_s2am_ard_3-2-1_50JML_2022-07-30_final
2022-08-02 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-08-02_final
2022-08-22 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-08-22_final
2022-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-07_final.stac-item
2023-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-02-05_final.stac-item
2023-03-07 11:53:17	ga_s2am_ard_3-2-1_50KPC_2023-03-07_final.stac-item
2023-06-02 11:46:19	ga_s2am_ard_3-2-1_50JQL_2023-06-02_final.stac-item
2023-06-05 11:55:53	ga_s2am_ard_3-2-1_50JNN_2023-06-05_final.stac-item
2023-08-14 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-08-14_final.stac-item
2023-09-13 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-09-13_final.stac-item
2023-10-03 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-10-03_final.stac-item
2023-10-20 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-10-20_final.stac-item
2023-12-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2023-12-15_final.stac-item
2024-01-31 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-31_final.stac-item
2024-02-13 12:03:41	ga_s2am_ard_3-2-1_50KKB_2024-02-13_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_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

All years