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_49KHR_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHP_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHQ_2015-10-28_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLJ_2016-03-03_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2016-09-12_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLK_2016-09-19_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGN_2016-10-12_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-12-11_final
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HLK_2016-12-18_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-22_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGK_2017-03-11_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGL_2017-03-11_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KGQ_2017-03-14_final
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-03_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-05-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-05-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2017-06-19_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGM_2017-06-29_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HLK_2017-08-05_final
2017-08-11 12:14:43	ga_s2am_ard_3-2-1_49JFM_2017-08-11_final
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-08-31_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHR_2017-09-27_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGR_2017-10-20_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JHM_2017-10-27_final
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGL_2018-01-18_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-14_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-04-25_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-04-28_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2018-09-02_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KGP_2018-09-25_final
2018-12-28 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-12-28_final
2019-01-23 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-01-23_final
2019-02-12 12:14:28	ga_s2am_ard_3-2-1_49JHN_2019-02-12_final
2019-03-14 12:13:54	ga_s2am_ard_3-2-1_49KGR_2019-03-14_final
2019-04-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2019-04-03_final
2019-04-10 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-04-10_final
2019-04-20 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-04-20_final
2019-04-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-04-23_final
2019-05-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-05-03_final
2019-05-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-05-10_final
2019-05-17 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-17_final
2019-05-20 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-05-20_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-31 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-08-31_final
2019-09-07 12:05:28	ga_s2am_ard_3-2-1_49JGK_2019-09-07_final
2019-09-10 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-09-10_final
2019-09-17 12:04:27	ga_s2am_ard_3-2-1_49KHP_2019-09-17_final
2019-09-30 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-09-30_final
2019-09-30 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-09-30_final
2020-03-02 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-03-02_final
2020-03-09 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-03-09_final
2020-04-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2020-04-18_final
2020-05-01 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2020-05-01_final
2020-05-04 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2020-05-04_final
2020-06-20 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-06-20_final
2020-06-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-06-23_final.stac-item
2020-09-11 12:04:31	ga_s2am_ard_3-2-1_49KHP_2020-09-11_final
2020-09-11 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-09-11_final
2020-10-31 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-31_final
2020-12-03 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-03_final
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final
2021-02-01 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-02-01_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final
2021-09-16 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-09-16_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2022-01-07 12:14:22	ga_s2am_ard_3-2-1_49KHP_2022-01-07_final
2022-01-17 12:14:31	ga_s2am_ard_3-2-1_49JHN_2022-01-17_final
2022-02-10 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-02-10_final
2022-03-28 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2022-03-28_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-04-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-04-18 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-04-18_final
2022-05-07 12:13:59	ga_s2am_ard_3-2-1_49KHR_2022-05-07_final
2022-05-21 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2022-05-21_final
2022-06-23 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-06-23_final
2022-08-25 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-25_final.stac-item
2022-09-01 12:04:40	ga_s2am_ard_3-2-1_49KHP_2022-09-01_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final.stac-item
2023-01-26 11:56:37	ga_s2am_ard_3-2-1_50HLK_2023-01-26_final.stac-item
2023-03-24 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-03-24_final.stac-item
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-30_final.stac-item
2023-04-09 12:04:57	ga_s2am_ard_3-2-1_49JHM_2023-04-09_final.stac-item
2023-04-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-29_final.stac-item
2023-05-22 12:14:01	ga_s2am_ard_3-2-1_49KGR_2023-05-22_final.stac-item
2023-05-22 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-05-22_final.stac-item
2023-05-26 11:57:09	ga_s2am_ard_3-2-1_50HMH_2023-05-26_final.stac-item
2023-06-11 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-11_final.stac-item
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final.stac-item
2023-09-03 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-09-03_final.stac-item
2023-10-16 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-10-16_final.stac-item
2024-01-04 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2024-01-04_final.stac-item
2024-03-01 11:56:44	ga_s2am_ard_3-2-1_50HLK_2024-03-01_final.stac-item
2024-05-06 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-05-06_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