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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMH_2015-11-21_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKS_2015-11-27_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGQ_2016-03-16_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2016-11-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHM_2016-11-11_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMK_2016-11-18_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JLL_2016-12-08_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-12-11_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HLH_2017-02-03_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JKR_2017-05-20_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMH_2017-06-06_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMJ_2017-06-06_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HNG_2017-09-28_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQH_2017-11-07_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQJ_2017-11-20_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JKS_2017-11-26_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNG_2018-03-10_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMH_2018-03-20_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKQ_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKS_2018-05-05_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKS_2018-07-14_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-24_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-25_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HMK_2018-10-26_final
2018-12-18 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-18_final
2019-01-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2019-01-11_final.stac-item
2019-01-20 12:04:39	ga_s2am_ard_3-2-1_50JKT_2019-01-20_final
2019-02-19 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-02-19_final
2019-03-01 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-01_final
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_50JKS_2019-03-01_final
2019-03-11 12:04:38	ga_s2am_ard_3-2-1_50JKT_2019-03-11_final
2019-04-01 11:37:27	ga_s2am_ard_3-2-1_50HNG_2019-04-01_final.stac-item
2019-04-17 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-04-17_final
2019-05-10 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-05-10_final
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-05-30_final.stac-item
2019-07-29 12:06:09	ga_s2am_ard_3-2-1_50JLM_2019-07-29_final
2019-08-22 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-08-22_final.stac-item
2019-09-17 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-09-17_final
2019-10-27 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-10-27_final
2019-11-27 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-11-27_final.stac-item
2020-01-29 11:46:33	ga_s2am_ard_3-2-1_50HMK_2020-01-29_final
2020-01-29 11:47:13	ga_s2am_ard_3-2-1_50HNG_2020-01-29_final.stac-item
2020-02-11 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2020-02-11_final
2020-03-12 11:56:33	ga_s2am_ard_3-2-1_50HMK_2020-03-12_final
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_50JKS_2020-04-04_final
2020-04-11 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-04-11_final
2020-05-01 11:57:23	ga_s2am_ard_3-2-1_50HMG_2020-05-01_final.stac-item
2020-05-21 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-05-21_final
2020-06-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-06-23_final.stac-item
2020-09-08 11:55:17	ga_s2am_ard_3-2-1_50JLR_2020-09-08_final
2020-09-11 12:04:31	ga_s2am_ard_3-2-1_49KHP_2020-09-11_final
2020-09-22 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-22_final.stac-item
2020-10-01 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-01_final
2020-11-20 12:04:59	ga_s2am_ard_3-2-1_49JHM_2020-11-20_final
2020-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-11-30_final
2021-01-02 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-01-02_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_49KHP_2021-03-30_final
2021-04-19 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2021-04-19_final
2021-06-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-06-05 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-06-05_final
2021-09-23 11:55:16	ga_s2am_ard_3-2-1_50JLR_2021-09-23_final
2021-10-30 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-30_final
2021-11-05 12:04:46	ga_s2am_ard_3-2-1_50JKT_2021-11-05_final
2021-11-25 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-11-25_final
2021-12-18 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-12-18_final
2021-12-25 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-12-25_final
2022-01-14 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2022-01-14_final
2022-02-17 11:46:42	ga_s2am_ard_3-2-1_50HMK_2022-02-17_final
2022-03-06 11:36:40	ga_s2am_ard_3-2-1_50HQK_2022-03-06_final
2022-03-12 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-03-12_final
2022-03-12 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-03-12_final
2022-04-14 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2022-04-14_final
2022-04-21 11:55:17	ga_s2am_ard_3-2-1_50JLR_2022-04-21_final
2022-05-14 12:04:38	ga_s2am_ard_3-2-1_50JKT_2022-05-14_final
2022-05-18 11:47:26	ga_s2am_ard_3-2-1_50HNG_2022-05-18_final.stac-item
2022-07-13 12:05:21	ga_s2am_ard_3-2-1_50JLR_2022-07-13_final
2022-09-11 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-09-11_final.stac-item
2022-10-01 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2022-10-01 12:05:33	ga_s2am_ard_3-2-1_50JKQ_2022-10-01_final.stac-item
2022-11-20 12:04:43	ga_s2am_ard_3-2-1_50JKT_2022-11-20_final.stac-item
2023-01-19 12:05:07	ga_s2am_ard_3-2-1_50JKR_2023-01-19_final.stac-item
2023-01-26 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-01-26_final.stac-item
2023-02-18 12:05:07	ga_s2am_ard_3-2-1_50JKR_2023-02-18_final.stac-item
2023-02-18 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2023-02-18_final.stac-item
2023-02-28 12:04:54	ga_s2am_ard_3-2-1_50JKS_2023-02-28_final.stac-item
2023-04-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-04-29_final.stac-item
2023-05-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-03_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_final.stac-item
2023-08-28 11:36:40	ga_s2am_ard_3-2-1_50HQK_2023-08-28_final.stac-item
2023-09-06 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-09-06_final.stac-item
2023-10-20 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-10-20_final.stac-item
2023-12-25 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-12-25_final.stac-item
2024-01-11 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-11_final.stac-item
2024-03-01 11:56:35	ga_s2am_ard_3-2-1_50HMK_2024-03-01_final.stac-item
2024-04-17 11:46:44	ga_s2am_ard_3-2-1_50HMK_2024-04-17_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