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
2015-09-11 12:13:46	ga_s2am_ard_3-2-1_49KHR_2015-09-11_final.stac-item
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-10-01_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGM_2015-12-17_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JKM_2016-01-03_final.stac-item
2016-02-05 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2016-02-05_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHR_2016-02-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-04-25_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGR_2016-08-26_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-02_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNJ_2016-11-15_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMK_2016-12-08_final
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HNK_2016-12-08_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMK_2017-01-24_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HPK_2017-01-24_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMH_2017-03-05_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JFN_2017-04-03_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-06-02_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLK_2017-09-14_final
2017-09-20 12:13:39	ga_s2am_ard_3-2-1_49KGR_2017-09-20_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHM_2018-04-05_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-04-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-04-28_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-09-12_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPH_2018-09-13_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLJ_2018-10-29_final
2019-01-27 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-01-27_final
2019-02-03 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2019-02-03_final
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-04-10 12:05:31	ga_s2am_ard_3-2-1_49JGK_2019-04-10_final
2019-04-17 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-04-17_final
2019-04-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-04-20_final
2019-04-30 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-04-30_final
2019-05-07 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-05-07_final
2019-06-02 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-02_final
2019-06-02 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-02_final
2019-06-12 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-06-12_final
2019-06-22 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-06-22_final
2019-11-20 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-11-20_final
2020-01-19 11:46:45	ga_s2am_ard_3-2-1_50HNJ_2020-01-19_final
2020-01-29 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2020-01-29_final
2020-03-12 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-12_final
2020-04-07 12:13:52	ga_s2am_ard_3-2-1_49KHR_2020-04-07_final
2020-04-07 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2020-04-07_final
2020-04-07 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-04-07_final
2020-04-08 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2020-04-08_final
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final
2020-04-08 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-04-08_final
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-05-27_final
2020-06-17 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-06-17_final
2020-06-17 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-06-17_final
2020-09-05 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-05_final
2020-09-15 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-09-15_final
2020-09-24 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-09-24_final
2020-10-02 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-02_final
2021-01-23 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-01-23_final
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final
2021-03-27 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final
2021-04-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-04-03_final
2021-04-09 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2021-04-09_final
2021-06-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-01_final
2021-06-18 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-06-18_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2021-09-13 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-13_final
2021-09-29 12:14:27	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final
2021-12-12 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-12-12_final
2022-01-08 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2022-01-08_final
2022-01-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-01-18_final
2022-02-10 11:56:35	ga_s2am_ard_3-2-1_50HMK_2022-02-10_final
2022-02-20 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-02-20_final
2022-03-22 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-03-22_final
2022-04-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-04-08_final
2022-04-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-04-08_final
2022-04-28 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-04-28_final
2022-06-13 12:05:36	ga_s2am_ard_3-2-1_50JKQ_2022-06-13_final
2022-06-20 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-06-20_final
2022-09-18 13:31:48	ga_s2am_ard_3-2-1_46LHM_2022-09-18_interim.stac-item
2022-09-24 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-09-24_final.stac-item
2022-10-01 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-10-01_final.stac-item
2023-01-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-01-13_final.stac-item
2023-01-26 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-01-26_final.stac-item
2023-03-07 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-03-07_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-19_final.stac-item
2023-09-26 12:05:57	ga_s2am_ard_3-2-1_50JKN_2023-09-26_final.stac-item
2023-10-10 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-10_final.stac-item
2023-11-02 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-11-02_final.stac-item
2024-02-07 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2024-02-07_final.stac-item
2024-02-20 11:57:07	ga_s2am_ard_3-2-1_50HLH_2024-02-20_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