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_49JGL_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLP_2015-10-28_final.stac-item
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50HMK_2015-11-24_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGR_2015-11-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGR_2016-01-09_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_50JKS_2016-05-05_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JMM_2016-07-28_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JLP_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKS_2016-08-13_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HQJ_2016-11-02_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2016-12-25_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNJ_2017-05-04_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHR_2017-06-19_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKP_2017-07-09_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKS_2017-07-29_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HPK_2017-10-31_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JLT_2017-11-26_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-12-09_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGP_2018-01-08_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KGP_2018-01-25_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JLM_2018-02-01_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPK_2018-02-18_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KGP_2018-03-16_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HPH_2018-03-20_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JLS_2018-04-05_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQK_2018-04-26_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMG_2018-05-22_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQH_2018-06-28_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLQ_2018-07-24_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMK_2018-08-17_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKP_2018-09-02_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KGP_2018-09-25_final
2018-11-14 12:14:25	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2019-01-17 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-01-17_final
2019-02-09 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-02-09_final
2019-03-11 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-03-11_final
2019-03-15 11:47:08	ga_s2am_ard_3-2-1_50HPG_2019-03-15_final.stac-item
2019-03-21 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-03-21_final
2019-04-17 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-04-17_final
2019-05-10 12:05:55	ga_s2am_ard_3-2-1_50JLN_2019-05-10_final
2019-06-29 12:04:47	ga_s2am_ard_3-2-1_49JHN_2019-06-29_final
2019-07-22 12:15:05	ga_s2am_ard_3-2-1_49JFM_2019-07-22_final
2019-08-02 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-08-02_final.stac-item
2019-08-25 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-08-25_final
2019-08-29 11:36:35	ga_s2am_ard_3-2-1_50HQK_2019-08-29_final
2019-10-17 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-10-17_final
2019-11-06 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-11-06_final
2019-11-27 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-11-27_final.stac-item
2019-12-09 12:14:24	ga_s2am_ard_3-2-1_49KGP_2019-12-09_final
2020-02-14 12:04:18	ga_s2am_ard_3-2-1_49KHP_2020-02-14_final.stac-item
2020-02-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-02-14_final
2020-02-27 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-02-27_final
2020-03-15 12:04:53	ga_s2am_ard_3-2-1_50JKS_2020-03-15_final
2020-03-25 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-25_final
2020-04-07 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-04-07_final
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final
2020-04-17 12:14:41	ga_s2am_ard_3-2-1_49JGN_2020-04-17_final
2020-04-21 11:55:57	ga_s2am_ard_3-2-1_50JLN_2020-04-21_final
2020-05-07 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-05-07_final
2020-07-04 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-07-04_final
2020-10-25 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-10-25_final.stac-item
2020-11-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-11-30_final
2021-01-03 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-01-03_final
2021-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2021-03-21_final.stac-item
2021-04-09 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2021-04-09_final
2021-05-16 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-05-16_final
2021-05-19 12:05:36	ga_s2am_ard_3-2-1_50JLP_2021-05-19_final
2021-07-02 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-07-02_final.stac-item
2021-09-07 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-09-07_final
2021-10-23 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-23_final
2021-12-15 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-12-15_final
2021-12-22 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-12-22_final.stac-item
2022-01-14 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-01-14_final
2022-02-10 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-02-10_final
2022-02-13 12:04:46	ga_s2am_ard_3-2-1_49JGN_2022-02-13_final
2022-02-20 11:57:07	ga_s2am_ard_3-2-1_50HMH_2022-02-20_final
2022-06-23 12:04:39	ga_s2am_ard_3-2-1_49KHP_2022-06-23_final
2022-07-10 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-07-10_final
2022-07-10 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-07-10_final
2022-08-06 11:47:35	ga_s2am_ard_3-2-1_50HMG_2022-08-06_final.stac-item
2022-09-11 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-09-11_final.stac-item
2022-10-01 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-10-01_final.stac-item
2022-11-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2022-11-13_final.stac-item
2022-12-30 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2022-12-30_final.stac-item
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final.stac-item
2023-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2023-03-03_final.stac-item
2023-03-04 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2023-03-04_final.stac-item
2023-04-13 11:46:13	ga_s2am_ard_3-2-1_50JMM_2023-04-13_final.stac-item
2023-07-02 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2023-07-02_final.stac-item
2023-08-24 11:56:36	ga_s2am_ard_3-2-1_50HNK_2023-08-24_final.stac-item
2023-08-31 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-08-31_final.stac-item
2023-11-22 11:56:33	ga_s2am_ard_3-2-1_50HMK_2023-11-22_final.stac-item
2024-01-04 12:04:24	ga_s2am_ard_3-2-1_49KHP_2024-01-04_final.stac-item
2024-01-17 12:14:37	ga_s2am_ard_3-2-1_49JFN_2024-01-17_final.stac-item
2024-02-17 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2024-02-17_final.stac-item
2024-03-18 11:46:38	ga_s2am_ard_3-2-1_50HNK_2024-03-18_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