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_49JGL_2015-10-28_final.stac-item
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KHR_2015-11-20_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNJ_2015-11-21_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHR_2015-12-30_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-02-18_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-06-14_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-06-17_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-03_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KGP_2017-08-21_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-12-29_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMJ_2018-01-12_final
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGL_2018-01-18_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMH_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHS_2018-03-16_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final
2018-12-05 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-05_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2019-03-04 12:14:22	ga_s2am_ard_3-2-1_49KGP_2019-03-04_final
2019-04-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-04-03_final
2019-04-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-04-17_final
2019-05-21 11:37:30	ga_s2am_ard_3-2-1_50HNG_2019-05-21_final.stac-item
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final
2019-08-22 11:47:23	ga_s2am_ard_3-2-1_50HNG_2019-08-22_final.stac-item
2019-11-19 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-11-19_final
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-11-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2019-11-30_final
2019-12-09 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-12-09_final
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final
2020-03-22 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-22_final.stac-item
2020-04-07 12:14:53	ga_s2am_ard_3-2-1_49JGM_2020-04-07_final
2020-04-08 11:47:04	ga_s2am_ard_3-2-1_50HNH_2020-04-08_final
2020-04-27 12:15:02	ga_s2am_ard_3-2-1_49JFM_2020-04-27_final
2020-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-05-18_final
2020-05-27 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-05-27_final
2020-05-27 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2020-05-27_final
2020-05-31 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-31_final
2020-06-16 12:14:19	ga_s2am_ard_3-2-1_49KGQ_2020-06-16_final
2020-09-08 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-09-08_final
2020-09-21 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-21_final
2020-09-21 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-21_final
2020-10-11 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-10-11_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-31_final
2020-11-24 11:47:16	ga_s2am_ard_3-2-1_50HLH_2020-11-24_final
2020-12-11 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-12-11_final.stac-item
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final
2021-03-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-13_final
2021-03-14 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-03-14_final.stac-item
2021-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2021-03-20_final
2021-03-27 11:57:04	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final
2021-04-26 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2021-04-26_final
2021-05-12 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-05-12_final
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final
2021-07-08 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-07-08_final
2021-07-11 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-11_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-08-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-17_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2021-10-10 11:47:15	ga_s2am_ard_3-2-1_50HMH_2021-10-10_final
2021-10-29 12:15:15	ga_s2am_ard_3-2-1_49JGL_2021-10-29_final
2021-12-09 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-12-09_final
2022-01-04 12:05:02	ga_s2am_ard_3-2-1_49JGM_2022-01-04_final
2022-01-17 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-01-17_final
2022-01-21 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-01-21_final
2022-02-03 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-03_final
2022-02-16 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-02-16_final
2022-03-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-05_final
2022-03-05 12:05:10	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-04-14 12:05:09	ga_s2am_ard_3-2-1_49JGM_2022-04-14_final
2022-04-28 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-04-28_final
2022-06-06 12:15:04	ga_s2am_ard_3-2-1_49JGM_2022-06-06_final
2022-07-16 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-07-16_final
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-12-30 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-30_final.stac-item
2023-02-01 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-02-01_final.stac-item
2023-02-02 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-03-07 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-03-07_final.stac-item
2023-03-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-20_final.stac-item
2023-04-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-04-29_final.stac-item
2023-09-06 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-09-06_final.stac-item
2023-10-09 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-10-09_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-10-29_final.stac-item
2023-10-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-29_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2023-12-12 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2023-12-12_final.stac-item
2023-12-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-12-19_final.stac-item
2024-03-01 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-01_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