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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLN_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-04-25_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JMM_2016-07-31_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-08-06_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-08-06_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50HLK_2016-08-20_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HPG_2016-10-23_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHP_2016-11-11_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLG_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2016-11-21_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2016-11-24_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMG_2017-01-14_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNK_2017-04-14_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JLL_2017-08-15_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JML_2017-08-15_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HQH_2017-09-21_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQG_2017-11-07_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-11-09_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGN_2017-12-16_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HNG_2018-01-26_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHR_2018-01-28_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNG_2018-02-08_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMK_2018-06-21_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JMM_2018-06-28_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-06_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLP_2018-08-10_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-09-06_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-11-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-11-24_final
2018-12-21 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-21_final
2018-12-31 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2018-12-31_final
2019-01-03 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-01-03_final
2019-01-11 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-01-11_final
2019-02-20 11:37:17	ga_s2am_ard_3-2-1_50HPG_2019-02-20_final.stac-item
2019-03-01 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-01_final
2019-03-05 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-03-05_final.stac-item
2019-04-14 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-04-14_final
2019-05-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-05-24_final.stac-item
2019-06-13 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-06-13_final.stac-item
2019-08-08 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-08-08_final
2019-08-12 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-08-12_final.stac-item
2019-08-15 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-08-15_final
2019-08-18 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-08-18_final
2019-08-25 11:55:48	ga_s2am_ard_3-2-1_50JKP_2019-08-25_final
2019-11-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2019-11-16_final
2019-12-26 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-12-26_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-05 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-05_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-04-15 11:37:17	ga_s2am_ard_3-2-1_50HQG_2020-04-15_final.stac-item
2020-04-21 11:57:21	ga_s2am_ard_3-2-1_50HMG_2020-04-21_final.stac-item
2020-04-25 11:37:28	ga_s2am_ard_3-2-1_50HNG_2020-04-25_final.stac-item
2020-05-28 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-05-28_final
2020-05-31 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-31_final
2020-06-17 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-06-17_final
2020-06-30 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-06-30_final
2020-06-30 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-06-30_final
2020-07-10 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-07-10_final
2020-08-02 12:03:52	ga_s2am_ard_3-2-1_49KHS_2020-08-02_final.stac-item
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2020-11-13_final.stac-item
2020-12-27 11:55:41	ga_s2am_ard_3-2-1_50JLP_2020-12-27_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2021-01-06 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-01-06_final
2021-01-06 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-01-06_final
2021-03-11 11:37:12	ga_s2am_ard_3-2-1_50HPH_2021-03-11_final
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final
2021-05-03 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-05-03_final.stac-item
2021-05-16 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-05-16_final
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final
2021-06-25 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-06-25_final
2021-07-15 11:56:29	ga_s2am_ard_3-2-1_50JLL_2021-07-15_final
2021-07-15 11:57:09	ga_s2am_ard_3-2-1_50HMH_2021-07-15_final
2021-07-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-07-22_final
2021-08-24 11:57:22	ga_s2am_ard_3-2-1_50HMG_2021-08-24_final.stac-item
2021-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-09-19_final.stac-item
2021-11-12 11:54:46	ga_s2am_ard_3-2-1_50JLT_2021-11-12_final
2021-12-26 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-12-26_final
2022-03-18 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2022-03-18_final
2022-04-28 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-04-28_final
2022-05-31 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-05-31_final
2022-06-04 11:37:11	ga_s2am_ard_3-2-1_50HQH_2022-06-04_final
2022-06-13 12:04:24	ga_s2am_ard_3-2-1_49KHQ_2022-06-13_final
2022-07-04 11:37:34	ga_s2am_ard_3-2-1_50HPG_2022-07-04_final.stac-item
2022-07-24 11:37:32	ga_s2am_ard_3-2-1_50HPG_2022-07-24_final.stac-item
2022-12-01 11:37:26	ga_s2am_ard_3-2-1_50HNG_2022-12-01_final.stac-item
2023-05-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2023-05-02_final.stac-item
2023-06-19 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-19_final.stac-item
2023-12-25 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2023-12-25_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-02-17 11:46:51	ga_s2am_ard_3-2-1_50HQH_2024-02-17_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