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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMH_2016-01-03_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGL_2016-06-27_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLK_2016-07-01_final.stac-item
2016-07-11 11:56:11	ga_s2am_ard_3-2-1_50HLK_2016-07-11_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHM_2016-09-02_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGN_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGN_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGN_2016-12-01_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-12-14_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JKM_2016-12-21_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HPG_2017-01-14_final.stac-item
2017-03-24 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-03-24_final.stac-item
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-04-13_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-04-23_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGN_2017-05-10_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50HLK_2017-06-26_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHS_2017-09-10_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHP_2017-12-16_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-03-06_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNJ_2018-03-20_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HQK_2018-03-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2018-04-05_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-04-28_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLH_2018-04-29_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HMH_2018-05-09_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-06-17_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLK_2018-08-20_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HQK_2018-09-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLG_2018-10-26_final.stac-item
2019-01-01 11:36:28	ga_s2am_ard_3-2-1_50HQK_2019-01-01_final
2019-01-14 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-01-14_final
2019-02-20 11:36:30	ga_s2am_ard_3-2-1_50HQK_2019-02-20_final
2019-03-01 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-01_final
2019-03-15 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-03-15_final
2019-04-20 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-04-20_final
2019-05-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-05-10_final
2019-05-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-13_final
2019-05-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-05-20_final
2019-07-09 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-09_final
2019-07-16 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-16_final
2019-07-19 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2019-07-19_final
2019-08-18 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-08-18_final
2019-10-18 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-10-18_final
2019-12-06 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2019-12-06_final
2019-12-06 12:04:40	ga_s2am_ard_3-2-1_49JHN_2019-12-06_final
2020-02-08 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2020-02-08_final
2020-02-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2020-02-27_final
2020-03-02 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2020-03-02_final
2020-03-05 12:03:59	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-03-12 11:56:33	ga_s2am_ard_3-2-1_50HMK_2020-03-12_final
2020-03-26 11:37:13	ga_s2am_ard_3-2-1_50HQG_2020-03-26_final.stac-item
2020-04-08 11:47:16	ga_s2am_ard_3-2-1_50HNG_2020-04-08_final.stac-item
2020-04-24 12:04:47	ga_s2am_ard_3-2-1_49JGN_2020-04-24_final
2020-06-20 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-06-20_final
2020-07-10 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-07-10_final
2020-07-16 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-07-16_final
2020-07-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-07-27_final
2020-07-30 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-07-30_final
2020-08-19 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-08-19_final
2020-08-19 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-19_final
2020-08-26 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-08-26_final
2020-09-11 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-09-11_final
2020-11-24 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2020-11-24_final
2021-01-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-23_final
2021-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-08_final
2021-02-11 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-02-11_final
2021-06-21 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-21_final
2021-06-25 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-07-25 11:57:15	ga_s2am_ard_3-2-1_50HMH_2021-07-25_final
2021-08-04 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-08-04_final
2021-08-04 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2021-08-04_final
2021-11-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2021-11-05_final
2021-11-29 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-11-29_final
2021-12-22 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-12-22_final
2021-12-25 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-12-25_final
2022-01-21 11:56:40	ga_s2am_ard_3-2-1_50HLK_2022-01-21_final
2022-01-24 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-01-24_final
2022-02-10 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-02-10_final
2022-02-16 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-02-16_final.stac-item
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-04-15 11:37:24	ga_s2am_ard_3-2-1_50HPG_2022-04-15_final.stac-item
2022-06-30 11:56:53	ga_s2am_ard_3-2-1_50HLK_2022-06-30_final
2022-07-13 12:04:39	ga_s2am_ard_3-2-1_49KHP_2022-07-13_final
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-10-01 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-10-01_final.stac-item
2022-10-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-10-15_final.stac-item
2022-12-24 11:47:19	ga_s2am_ard_3-2-1_50HNG_2022-12-24_final.stac-item
2023-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2023-03-03_final.stac-item
2023-05-16 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-05-16_final.stac-item
2023-07-08 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2023-07-08_final.stac-item
2023-08-04 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-04_final.stac-item
2023-09-10 11:46:35	ga_s2am_ard_3-2-1_50HQK_2023-09-10_final.stac-item
2023-10-23 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-10-23_final.stac-item
2023-10-30 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-10-30_final.stac-item
2023-11-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-12_final.stac-item
2023-11-19 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-11-19_final.stac-item
2024-02-03 12:04:52	ga_s2am_ard_3-2-1_49JHM_2024-02-03_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