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
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLK_2016-05-22_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2016-06-24_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-06-27_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMG_2016-07-08_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JGM_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGM_2016-12-31_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMG_2017-01-14_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-01-20_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JGL_2017-04-10_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-04-10_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-06-22_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-07-09_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHM_2017-09-17_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGM_2017-11-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-11-26_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLK_2018-01-12_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMH_2018-02-11_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-17_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-03-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHR_2018-05-15_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JHN_2018-06-14_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-06-27_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-24_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-16_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLH_2018-08-20_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JFM_2018-09-25_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-25_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-11-01_final
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final
2018-12-21 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-21_final
2018-12-28 11:56:33	ga_s2am_ard_3-2-1_50HLK_2018-12-28_final
2019-03-01 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-03-01_final.stac-item
2019-03-21 12:05:13	ga_s2am_ard_3-2-1_49JGL_2019-03-21_final
2019-05-07 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-07_final
2019-07-02 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-07-02_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-08-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-08-28_final.stac-item
2019-08-28 12:04:00	ga_s2am_ard_3-2-1_49KHR_2019-08-28_final
2019-10-07 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-10-07_final
2019-10-21 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-10-21_final.stac-item
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-11-26_final
2019-12-16 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-12-16_final
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-25 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-01-25_final
2020-02-04 12:04:52	ga_s2am_ard_3-2-1_49JGM_2020-02-04_final
2020-02-11 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-11_final
2020-02-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-02-14_final
2020-05-04 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-05-04_final
2020-05-08 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-05-08_final
2020-05-14 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-05-14_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-07-06 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-07-06_final
2020-10-11 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-10-11_final
2021-01-02 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-01-02_final
2021-01-09 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-01-09_final
2021-01-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-22_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-03-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-03-14_final
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final
2021-05-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-05-12_final
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-18 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-06-18_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-06-18_final
2021-07-28 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-09-26 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-09-26_final
2021-10-09 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-09_final
2021-10-16 12:03:50	ga_s2am_ard_3-2-1_49KHS_2021-10-16_final.stac-item
2021-11-22 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-11-22_final
2022-02-23 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-02-23_final
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-05_final.stac-item
2022-03-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-05_final
2022-03-15 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-03-15_final
2022-03-28 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-03-28_final
2022-05-24 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-05-24_final
2022-08-02 12:04:56	ga_s2am_ard_3-2-1_49JGN_2022-08-02_final
2022-08-12 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-12_final
2022-10-01 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-10-01_final.stac-item
2022-10-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2022-10-11_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2023-03-04 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-03-04_final.stac-item
2023-04-19 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-04-19_final.stac-item
2023-05-29 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-05-29_final.stac-item
2023-06-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2023-06-01_final.stac-item
2023-07-28 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-28_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_final.stac-item
2023-08-27 12:04:05	ga_s2am_ard_3-2-1_49KHR_2023-08-27_final.stac-item
2023-09-26 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-09-26_final.stac-item
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-10-16_final.stac-item
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_49KHS_2023-12-15_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