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_50HNH_2015-11-21_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGN_2015-12-07_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMH_2016-04-19_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLJ_2016-07-01_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKP_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-08-13_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HQJ_2016-08-17_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGL_2016-09-02_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNJ_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-31_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JKP_2017-10-04_final
2017-11-23 11:56:04	ga_s2am_ard_3-2-1_50HLK_2017-11-23_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HPJ_2017-11-27_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KGR_2018-02-07_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGL_2018-03-16_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLK_2018-03-23_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGP_2018-05-15_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPG_2018-07-05_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-07-15_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-08-03_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-12-11 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-11_final
2018-12-25 11:46:26	ga_s2am_ard_3-2-1_50HPK_2018-12-25_final
2019-01-10 12:04:38	ga_s2am_ard_3-2-1_49JHN_2019-01-10_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-02-13 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-02-13_final
2019-02-19 12:05:08	ga_s2am_ard_3-2-1_50JKR_2019-02-19_final
2019-02-22 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-02-22_final
2019-02-23 11:46:29	ga_s2am_ard_3-2-1_50HPK_2019-02-23_final
2019-02-26 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-02-26_final
2019-03-05 11:46:24	ga_s2am_ard_3-2-1_50HQK_2019-03-05_final
2019-03-11 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-03-11_final
2019-03-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-11_final
2019-03-25 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-03-25_final.stac-item
2019-05-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-13_final
2019-05-17 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-05-17_final
2019-07-06 11:56:45	ga_s2am_ard_3-2-1_50HLK_2019-07-06_final
2019-07-09 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-09_final
2019-07-19 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-07-19_final
2019-07-22 12:14:32	ga_s2am_ard_3-2-1_49KGP_2019-07-22_final
2019-08-08 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-08-08_final
2019-11-16 12:04:44	ga_s2am_ard_3-2-1_50JKT_2019-11-16_final
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2019-11-30 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2019-11-30_final
2019-12-07 11:36:31	ga_s2am_ard_3-2-1_50HQK_2019-12-07_final
2020-01-15 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-15_final
2020-01-29 11:46:30	ga_s2am_ard_3-2-1_50HNK_2020-01-29_final
2020-01-29 11:46:36	ga_s2am_ard_3-2-1_50HQJ_2020-01-29_final
2020-02-24 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-02-24_final
2020-04-17 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-04-17_final
2020-04-28 11:47:12	ga_s2am_ard_3-2-1_50HMH_2020-04-28_final
2020-06-10 11:56:43	ga_s2am_ard_3-2-1_50HMK_2020-06-10_final
2020-07-20 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-07-20_final
2020-08-05 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-08-05_final
2020-08-15 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-15_final
2020-09-12 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-12_final
2020-10-11 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-10-11_final
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final
2020-11-03 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-11-03_final
2020-11-20 12:04:45	ga_s2am_ard_3-2-1_50JKT_2020-11-20_final
2020-12-10 12:04:39	ga_s2am_ard_3-2-1_50JKT_2020-12-10_final
2020-12-14 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-12-14_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2020-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2020-12-21_final
2021-01-13 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-01-13_final
2021-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-08_final
2021-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-03-03_final
2021-03-17 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-03-17_final.stac-item
2021-05-19 12:05:45	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final
2021-07-05 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-07-05_final
2021-08-04 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-08-04_final
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final.stac-item
2021-09-09 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-09-09_final
2021-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-09-20_final
2021-11-19 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-11-19_final.stac-item
2022-01-08 11:47:04	ga_s2am_ard_3-2-1_50HPH_2022-01-08_final
2022-01-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-01-27_final
2022-01-28 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-01-28_final
2022-03-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2022-03-08_final
2022-09-14 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2022-09-14_final.stac-item
2022-10-21 12:05:02	ga_s2am_ard_3-2-1_50JKS_2022-10-21_final.stac-item
2022-12-17 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-12-17_final.stac-item
2023-01-13 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-01-13_final.stac-item
2023-02-05 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-02-05_final.stac-item
2023-03-03 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-03-03_final.stac-item
2023-04-22 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-22_final.stac-item
2023-04-23 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-23_final.stac-item
2023-05-03 11:47:03	ga_s2am_ard_3-2-1_50HPH_2023-05-03_final.stac-item
2023-07-18 12:04:47	ga_s2am_ard_3-2-1_50JKT_2023-07-18_final.stac-item
2023-08-20 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-08-20_final.stac-item
2023-08-28 11:37:27	ga_s2am_ard_3-2-1_50HPG_2023-08-28_final.stac-item
2024-01-11 11:55:41	ga_s2am_ard_3-2-1_50JKP_2024-01-11_final.stac-item
2024-01-21 11:57:01	ga_s2am_ard_3-2-1_50HLH_2024-01-21_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