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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNH_2015-10-22_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGM_2015-12-07_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HNK_2016-01-20_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HLK_2016-10-19_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMG_2016-11-05_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-11_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQJ_2016-12-22_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLG_2017-02-16_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JKN_2017-07-16_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKP_2017-07-29_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGN_2017-10-07_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HQJ_2017-10-11_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HPK_2017-10-18_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMK_2017-10-24_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HLH_2018-02-18_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-03-06_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JKP_2018-03-26_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKN_2018-04-02_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNK_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMG_2018-06-08_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPG_2018-06-15_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKN_2018-07-01_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNG_2018-07-08_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMJ_2018-08-07_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGJ_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKN_2018-08-13_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKM_2018-09-09_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPK_2018-09-26_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPK_2018-10-23_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-11-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-11-24_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-05 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-05_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-21_final.stac-item
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2019-03-05 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-03-05_final
2019-03-24 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-03-24_final
2019-03-25 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-03-25_final.stac-item
2019-06-16 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-06-16_final
2019-06-23 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-06-23_final.stac-item
2019-07-09 12:05:46	ga_s2am_ard_3-2-1_50JKP_2019-07-09_final
2019-11-13 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-11-13_final.stac-item
2019-12-26 12:05:50	ga_s2am_ard_3-2-1_50JKN_2019-12-26_final
2020-02-01 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-01_final
2020-02-11 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-02-11_final
2020-02-18 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final
2020-03-12 11:56:26	ga_s2am_ard_3-2-1_50HNK_2020-03-12_final
2020-03-18 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-03-18_final
2020-04-18 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-04-18_final
2020-06-04 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-04_final
2020-06-17 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-06-17_final
2020-07-07 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-07_final
2020-10-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-10-28_final
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final
2020-12-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-17_final
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-02-09 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-02-09_final
2021-02-18 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-02-18_final
2021-04-09 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2021-04-09_final
2021-04-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2021-04-19_final
2021-04-23 11:47:23	ga_s2am_ard_3-2-1_50HLG_2021-04-23_final.stac-item
2021-04-29 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-04-29_final
2021-04-29 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-04-29_final
2021-04-30 11:37:00	ga_s2am_ard_3-2-1_50HQH_2021-04-30_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-06-15 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-15_final.stac-item
2021-06-18 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-06-18_final
2021-08-17 12:05:13	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final
2021-09-26 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-09-26_final
2021-10-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2021-11-25 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-11-25_final
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final
2021-12-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-12-18_final
2022-01-24 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-01-24_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-03-28 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-03-28_final
2022-06-17 11:46:54	ga_s2am_ard_3-2-1_50HQJ_2022-06-17_final
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-31 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-10-31_final.stac-item
2022-11-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-11-03_final.stac-item
2022-11-20 12:05:56	ga_s2am_ard_3-2-1_50JKN_2022-11-20_final.stac-item
2023-02-15 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-02-15_final.stac-item
2023-02-15 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-02-15_final.stac-item
2023-03-10 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-03-10_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-07-05_final.stac-item
2023-10-09 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-09_final.stac-item
2023-12-16 11:36:34	ga_s2am_ard_3-2-1_50HPK_2023-12-16_final.stac-item
2024-02-23 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-02-23_final.stac-item
2024-05-23 12:05:40	ga_s2am_ard_3-2-1_50JKP_2024-05-23_nrt.stac-item
2024-05-23 12:05:54	ga_s2am_ard_3-2-1_50JKN_2024-05-23_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