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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGM_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHN_2015-10-08_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KGP_2015-11-30_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2016-09-12_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-10-12_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMK_2016-11-15_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-01-20_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMK_2017-02-16_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-04-10_final
2017-04-30 12:03:50	ga_s2am_ard_3-2-1_49KHQ_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGK_2017-04-30_final
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHQ_2017-05-20_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-05-30_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-06-09_final
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGM_2017-06-12_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-09-07_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JGM_2017-10-20_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHP_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGL_2018-05-08_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-06-17_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-11-01_final
2019-01-04 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2019-01-04_final
2019-02-12 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-02-12_final.stac-item
2019-03-21 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2019-03-21_final
2019-03-31 12:04:28	ga_s2am_ard_3-2-1_49KHP_2019-03-31_final
2019-04-10 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-04-10_final
2019-04-14 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-04-14_final
2019-04-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-04-20_final
2019-04-27 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-04-27_final
2019-05-03 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-03_final
2019-06-02 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-06-02_final
2019-06-06 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-06-06_final
2019-09-04 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2019-09-04_final
2019-09-10 12:13:53	ga_s2am_ard_3-2-1_49KHR_2019-09-10_final
2019-09-17 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-09-17_final
2019-09-17 12:04:56	ga_s2am_ard_3-2-1_49JHM_2019-09-17_final
2019-09-17 12:05:14	ga_s2am_ard_3-2-1_49JGL_2019-09-17_final
2019-09-17 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-09-17_final
2019-09-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-09-30_final
2019-10-24 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-24_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-12-13 11:56:32	ga_s2am_ard_3-2-1_50HMK_2019-12-13_final
2020-03-02 11:56:32	ga_s2am_ard_3-2-1_50HMK_2020-03-02_final
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-04-17_final
2020-04-17 12:13:58	ga_s2am_ard_3-2-1_49KGR_2020-04-17_final
2020-04-17 12:15:10	ga_s2am_ard_3-2-1_49JGL_2020-04-17_final
2020-04-24 12:05:10	ga_s2am_ard_3-2-1_49JFM_2020-04-24_final
2020-05-17 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-05-17_final
2020-06-06 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-06-06_final
2020-06-10 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-06-10_final
2020-06-10 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-06-10_final
2020-09-04 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-04_final
2020-09-11 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2020-09-11_final
2020-09-18 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-09-18_final
2020-09-18 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-09-18_final
2020-09-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-21_final
2020-10-05 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-05_final
2020-10-05 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-10-05_final
2020-10-28 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-28_final
2020-11-27 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2020-11-27_final
2021-01-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-01-16_final
2021-01-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-19_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-02-05 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-05_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-03-27_final
2021-04-02 12:14:15	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-04-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2021-04-02_final
2021-04-06 11:56:36	ga_s2am_ard_3-2-1_50HLK_2021-04-06_final
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final
2021-06-01 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-01_final
2021-09-03 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-09-03_final.stac-item
2021-09-26 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-09-26_final
2022-01-08 11:47:08	ga_s2am_ard_3-2-1_50HNH_2022-01-08_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-03-12 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-03-12_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-05-07_final.stac-item
2022-05-18 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-05-18_final.stac-item
2022-05-21 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-05-21_final
2022-06-06 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-06-06_final
2022-09-21 12:04:41	ga_s2am_ard_3-2-1_49KHP_2022-09-21_final.stac-item
2022-11-14 11:46:43	ga_s2am_ard_3-2-1_50HMK_2022-11-14_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-02_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-05-22 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-05-22_final.stac-item
2023-06-12 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-12_final.stac-item
2023-10-06 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2023-10-06_final.stac-item
2023-10-13 11:57:18	ga_s2am_ard_3-2-1_50HMG_2023-10-13_final.stac-item
2024-04-03 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-04-03_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