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_50JLM_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JKT_2015-10-28_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKQ_2015-11-27_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JKR_2015-12-27_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHQ_2016-01-09_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHM_2016-02-05_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_50HQK_2016-05-26_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMK_2016-07-01_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQK_2016-07-15_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKQ_2016-07-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNG_2016-07-28_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-10-05_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-10-12_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLQ_2016-10-29_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JKR_2016-12-01_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JHM_2016-12-21_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKR_2016-12-21_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMK_2017-02-26_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKS_2017-03-11_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JKS_2017-03-21_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-06-19_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKT_2017-08-28_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGN_2017-11-16_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JHN_2017-11-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHS_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JLQ_2017-12-16_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKS_2018-01-25_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JLQ_2018-02-11_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-14_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JLQ_2018-03-03_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMK_2018-03-10_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMJ_2018-04-29_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMJ_2018-05-22_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-28_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMG_2018-06-01_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMH_2018-06-21_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-15_final
2018-12-05 11:47:12	ga_s2am_ard_3-2-1_50HNG_2018-12-05_final.stac-item
2019-01-10 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-01-10_final
2019-02-26 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-02-26_final.stac-item
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-01_final
2019-03-25 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2019-03-25_final
2019-04-10 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-04-10_final
2019-04-24 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-04-24_final
2019-04-27 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-04-27_final
2019-06-09 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-06-09_final
2019-06-12 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-06-12_final
2019-07-02 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-02_final.stac-item
2019-08-22 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-08-22_final
2019-08-28 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-08-28_final.stac-item
2019-09-27 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2019-09-27_final
2019-10-10 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-10-10_final
2019-10-27 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-10-27_final
2019-11-27 11:36:34	ga_s2am_ard_3-2-1_50HQK_2019-11-27_final
2019-11-27 11:37:17	ga_s2am_ard_3-2-1_50HQG_2019-11-27_final.stac-item
2020-01-05 12:04:51	ga_s2am_ard_3-2-1_50JKS_2020-01-05_final
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final
2020-02-04 12:04:20	ga_s2am_ard_3-2-1_49KHP_2020-02-04_final
2020-04-28 11:47:17	ga_s2am_ard_3-2-1_50HLH_2020-04-28_final
2020-05-11 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2020-05-11_final
2020-05-21 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-05-21_final
2020-06-03 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-06-03_final
2020-07-07 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-07-07_final
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final
2020-07-23 12:05:02	ga_s2am_ard_3-2-1_50JKS_2020-07-23_final
2020-09-15 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-09-15_final
2020-10-11 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-11_final
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2020-11-13_final.stac-item
2020-12-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-12-30_final
2021-01-13 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-13_final
2021-03-20 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-20_final
2021-07-15 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-15_final
2021-08-04 11:55:16	ga_s2am_ard_3-2-1_50JLR_2021-08-04_final
2021-08-17 12:05:16	ga_s2am_ard_3-2-1_50JLR_2021-08-17_final
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final.stac-item
2022-03-15 12:05:12	ga_s2am_ard_3-2-1_50JLR_2022-03-15_final
2022-04-14 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final.stac-item
2022-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-05-07_final
2022-06-23 12:05:09	ga_s2am_ard_3-2-1_50JKS_2022-06-23_final
2022-08-22 12:05:21	ga_s2am_ard_3-2-1_49JFM_2022-08-22_final
2022-09-22 11:37:33	ga_s2am_ard_3-2-1_50HNG_2022-09-22_final.stac-item
2023-04-19 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2023-04-19_final.stac-item
2023-04-22 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-04-22_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-07-08 12:05:02	ga_s2am_ard_3-2-1_49JHM_2023-07-08_final.stac-item
2023-08-01 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-01_final.stac-item
2023-09-16 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-09-16_final.stac-item
2023-09-26 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-09-26_final.stac-item
2023-11-22 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-11-22_final.stac-item
2024-01-04 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2024-01-04_final.stac-item
2024-02-13 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-02-13_final.stac-item
2024-03-21 11:57:13	ga_s2am_ard_3-2-1_50HKH_2024-03-21_final.stac-item
2024-04-06 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2024-04-06_final.stac-item
2024-04-13 12:04:59	ga_s2am_ard_3-2-1_50JKS_2024-04-13_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