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_49KHP_2015-10-28_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHQ_2015-11-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLK_2016-01-03_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGK_2016-01-06_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-01-29_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHR_2016-03-09_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGL_2016-04-18_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGM_2016-04-18_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-04-25_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-06-07_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50HMK_2016-06-21_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-09-25_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-21_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JFM_2016-12-24_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-01-20_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-12_final
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_49KHR_2017-03-14_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JHN_2017-03-14_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-06-02_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2017-10-20_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGR_2017-11-09_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-12-09_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final
2018-12-14 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2018-12-14_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-01-27 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-01-27_final
2019-02-09 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-09_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final
2019-03-11 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2019-03-11_final
2019-03-21 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2019-03-21_final
2019-04-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2019-04-03_final
2019-06-12 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-12_final
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2019-11-29 12:14:26	ga_s2am_ard_3-2-1_49KGP_2019-11-29_final
2019-12-09 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-12-09_final
2020-01-28 12:14:24	ga_s2am_ard_3-2-1_49JHN_2020-01-28_final
2020-02-24 12:04:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-04-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2020-04-17_final
2020-05-17 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-17_final
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final
2020-08-15 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-08-15_final
2020-09-04 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-04_final
2020-09-04 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-09-04_final
2020-09-08 11:56:44	ga_s2am_ard_3-2-1_50HLK_2020-09-08_final
2020-09-15 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-09-15_final
2020-10-01 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-01_final
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-04_final
2020-10-04 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-10-04_final
2020-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2020-11-13_final
2020-12-03 12:13:57	ga_s2am_ard_3-2-1_49KGR_2020-12-03_final
2021-11-22 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-11-22_final.stac-item
2022-01-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-05_final
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final
2022-01-11 11:56:41	ga_s2am_ard_3-2-1_50HLK_2022-01-11_final
2022-03-12 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-03-12_final.stac-item
2022-03-16 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-16_final
2022-03-16 11:37:25	ga_s2am_ard_3-2-1_50HPG_2022-03-16_final.stac-item
2022-03-22 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-03-22_final
2022-04-21 11:57:14	ga_s2am_ard_3-2-1_50HLH_2022-04-21_final
2022-05-31 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-05-31_final
2022-06-30 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-06-30_final
2022-06-30 11:57:19	ga_s2am_ard_3-2-1_50HMH_2022-06-30_final
2022-07-03 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-07-03_final
2022-07-10 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-07-10_final
2022-08-19 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-19_final
2022-08-29 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-08-29_final
2022-11-04 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-11-04_final.stac-item
2022-12-01 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-12-01_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-24 11:47:00	ga_s2am_ard_3-2-1_50HPH_2022-12-24_final.stac-item
2023-01-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-01-23_final.stac-item
2023-02-09 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-02-09_final.stac-item
2023-03-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-17_final.stac-item
2023-07-15 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-15_final.stac-item
2023-08-04 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-04_final.stac-item
2023-08-14 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-14_final.stac-item
2023-08-14 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-14_final.stac-item
2023-08-24 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-24_final.stac-item
2023-09-17 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-09-17_final.stac-item
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2023-12-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-12-19_final.stac-item
2024-01-08 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-01-08_final.stac-item
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final.stac-item
2024-02-17 11:47:24	ga_s2am_ard_3-2-1_50HLG_2024-02-17_final.stac-item
2024-02-20 11:56:38	ga_s2am_ard_3-2-1_50HLK_2024-02-20_final.stac-item
2024-03-11 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-03-27 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-27_final.stac-item
2024-04-26 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2024-04-26_final.stac-item
2024-04-27 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-04-27_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