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_50JNL_2015-12-04_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNN_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPH_2016-04-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKQ_2016-05-15_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKN_2016-08-23_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HPG_2017-07-30_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLP_2017-08-25_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HPG_2017-12-30_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HQK_2018-04-19_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JNM_2018-04-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLQ_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLR_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNN_2018-05-29_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLT_2018-06-01_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMG_2018-06-21_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLP_2018-06-21_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPG_2018-06-28_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-07-04_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-28_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-06_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNM_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JNN_2018-09-06_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JLL_2018-09-09_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMP_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMG_2018-10-09_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMP_2018-10-09_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPK_2018-10-23_final
2018-11-08 11:57:01	ga_s2am_ard_3-2-1_50HMH_2018-11-08_final
2018-11-18 11:56:30	ga_s2am_ard_3-2-1_50HMK_2018-11-18_final
2018-12-08 11:57:15	ga_s2am_ard_3-2-1_50HLG_2018-12-08_final.stac-item
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-01-03 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-01-03_final
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final
2019-01-07 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2019-01-07_final
2019-02-16 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-02-16_final
2019-04-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2019-04-07_final
2019-04-14 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-04-14_final
2019-09-17 12:05:55	ga_s2am_ard_3-2-1_50JKN_2019-09-17_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2020-02-17 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-02-17_final.stac-item
2020-03-09 11:47:13	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-03-28 12:13:36	ga_s2am_ard_3-2-1_49KHS_2020-03-28_final.stac-item
2020-04-04 12:06:00	ga_s2am_ard_3-2-1_50JLM_2020-04-04_final
2020-05-08 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-05-08_final.stac-item
2020-07-17 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-07-17_final
2020-09-01 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-09-01_final
2020-09-04 12:14:50	ga_s2am_ard_3-2-1_49JFN_2020-09-04_final
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final
2020-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-11-07_final
2020-11-24 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-11-24_final.stac-item
2020-12-07 11:57:18	ga_s2am_ard_3-2-1_50HMG_2020-12-07_final.stac-item
2020-12-30 12:05:55	ga_s2am_ard_3-2-1_50JKN_2020-12-30_final
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final
2021-01-16 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-16_final.stac-item
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final
2021-03-10 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-03-10_final
2021-03-14 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-14_final.stac-item
2021-03-17 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-17_final
2021-03-27 11:55:57	ga_s2am_ard_3-2-1_50JKN_2021-03-27_final
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final
2021-04-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2021-04-23_final
2021-04-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-04-29_final.stac-item
2021-05-12 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-05-12_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-15 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-06-15_final
2021-06-18 12:05:14	ga_s2am_ard_3-2-1_50JLR_2021-06-18_final
2021-07-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final.stac-item
2021-07-29 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-07-29_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-08-17 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-08-17_final
2021-09-16 12:05:00	ga_s2am_ard_3-2-1_50JMR_2021-09-16_final
2022-01-11 11:57:07	ga_s2am_ard_3-2-1_50HMH_2022-01-11_final
2022-02-20 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-02-20_final
2022-03-12 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-10-05 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-10-05_final.stac-item
2023-01-26 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-01-26_final.stac-item
2023-02-25 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-02-25_final.stac-item
2023-05-29 12:05:44	ga_s2am_ard_3-2-1_50JKP_2023-05-29_final.stac-item
2023-06-12 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-12_final.stac-item
2023-08-10 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-08-10_final.stac-item
2023-10-13 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-10-13_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_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