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
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMH_2016-07-08_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGK_2016-07-14_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMK_2016-09-29_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMK_2016-11-28_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JHN_2016-12-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2016-12-01_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGQ_2016-12-04_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQK_2017-01-01_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHS_2017-01-30_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HLK_2017-02-26_final
2017-04-30 12:03:50	ga_s2am_ard_3-2-1_49KHQ_2017-04-30_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JFM_2017-05-23_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMK_2017-10-31_final
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50HLK_2017-12-13_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2017-12-16_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLK_2017-12-23_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2018-03-26_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-04-18_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-05-05_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-05-18_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-06-01_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HQK_2018-08-24_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HQK_2018-08-27_final
2018-11-28 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-11-28_final
2018-12-04 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-04_final
2019-01-10 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-01-10_final
2019-01-27 11:56:11	ga_s2am_ard_3-2-1_50JKM_2019-01-27_final
2019-02-09 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2019-02-09_final
2019-02-19 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-02-19_final
2019-03-15 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-03-15_final
2019-03-15 11:47:05	ga_s2am_ard_3-2-1_50HMH_2019-03-15_final
2019-03-25 11:47:13	ga_s2am_ard_3-2-1_50HLH_2019-03-25_final
2019-03-31 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-03-31_final.stac-item
2019-04-10 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-04-10_final
2019-06-03 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-06-03_final
2019-06-09 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-06-09_final
2019-07-12 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2019-07-12_final
2019-08-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2019-08-02_final
2019-08-22 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-08-22_final
2019-09-27 12:04:43	ga_s2am_ard_3-2-1_49JHN_2019-09-27_final
2019-10-17 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-10-17_final
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2020-01-05 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2020-01-05_final
2020-01-06 11:36:28	ga_s2am_ard_3-2-1_50HQK_2020-01-06_final
2020-01-25 12:05:19	ga_s2am_ard_3-2-1_50JKQ_2020-01-25_final
2020-03-28 12:13:54	ga_s2am_ard_3-2-1_49KGR_2020-03-28_final
2020-05-04 12:03:48	ga_s2am_ard_3-2-1_49KHS_2020-05-04_final.stac-item
2020-05-04 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-05-04_final
2020-05-11 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-05-11_final
2020-05-21 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-21_final
2020-07-20 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-07-20_final
2020-08-22 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-08-22_final
2020-09-15 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-09-15_final
2020-10-11 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-11_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2020-12-20_final.stac-item
2020-12-27 11:56:36	ga_s2am_ard_3-2-1_50HMK_2020-12-27_final
2020-12-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-12-30_final
2020-12-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-12-30_final
2021-01-06 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-06_final
2021-03-30 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2021-03-30_final
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final
2021-04-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2021-04-23_final
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final
2021-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-05-12_final
2021-07-01 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-07-01_final
2021-10-07 11:37:31	ga_s2am_ard_3-2-1_50HNG_2021-10-07_final.stac-item
2021-10-29 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-10-29_final
2021-12-22 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-12-22_final
2022-01-31 11:56:30	ga_s2am_ard_3-2-1_50HNK_2022-01-31_final
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-03-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-03-05_final
2022-05-25 11:37:24	ga_s2am_ard_3-2-1_50HQG_2022-05-25_final.stac-item
2022-06-03 12:04:26	ga_s2am_ard_3-2-1_49KGQ_2022-06-03_final
2022-07-10 11:57:19	ga_s2am_ard_3-2-1_50HMH_2022-07-10_final
2022-07-16 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-16_final
2022-08-22 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-08-22_final
2022-10-08 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-10-08_final.stac-item
2023-02-28 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-02-28_final.stac-item
2023-06-22 11:47:24	ga_s2am_ard_3-2-1_50HNG_2023-06-22_final.stac-item
2023-07-02 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-07-02_final.stac-item
2023-07-18 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-07-18_final.stac-item
2023-07-18 12:05:01	ga_s2am_ard_3-2-1_49JHM_2023-07-18_final.stac-item
2023-08-07 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-08-07_final.stac-item
2023-08-27 12:05:03	ga_s2am_ard_3-2-1_49JHM_2023-08-27_final.stac-item
2023-08-31 11:47:15	ga_s2am_ard_3-2-1_50HMH_2023-08-31_final.stac-item
2023-09-17 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-09-17_final.stac-item
2023-09-26 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-09-26_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2023-11-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-11-08_final.stac-item
2023-11-18 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-11-18_final.stac-item
2024-01-24 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2024-01-24_final.stac-item
2024-01-27 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2024-01-27_final.stac-item
2024-02-10 11:56:33	ga_s2am_ard_3-2-1_50HMK_2024-02-10_final.stac-item
2024-03-18 11:46:41	ga_s2am_ard_3-2-1_50HMK_2024-03-18_final.stac-item
2024-03-28 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-28_final.stac-item
2024-04-03 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-04-03_final.stac-item
2024-04-10 11:56:31	ga_s2am_ard_3-2-1_50HNK_2024-04-10_final.stac-item
2024-05-06 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-05-06_final.stac-item
2024-05-17 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2024-05-17_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