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
2015-12-28 11:36:25	ga_s2am_ard_3-2-1_50HQK_2015-12-28_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JQT_2016-04-02_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50HQK_2016-05-06_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_50HQK_2016-08-14_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HNG_2016-10-03_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JWF_2016-11-16_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51HVD_2017-01-01_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-02_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JQT_2017-02-26_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQG_2017-04-01_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JQT_2017-08-05_final
2017-08-20 11:03:00	ga_s2am_ard_3-2-1_51HYD_2017-08-20_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JPP_2017-10-04_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JQT_2017-10-24_final
2017-10-30 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-10-30_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JLN_2018-01-05_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWN_2018-02-02_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50JNL_2018-04-19_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51JTL_2018-05-09_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HNG_2018-08-04_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HVD_2018-08-04_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLJ_2018-09-19_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HWC_2018-09-27_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JQT_2018-09-29_final
2019-01-25 11:15:59	ga_s2am_ard_3-2-1_51JXF_2019-01-25_final
2019-02-16 11:54:30	ga_s2am_ard_3-2-1_50KLU_2019-02-16_final
2019-02-26 11:54:19	ga_s2am_ard_3-2-1_50JQT_2019-02-26_final
2019-02-26 11:54:29	ga_s2am_ard_3-2-1_50KLU_2019-02-26_final
2019-03-18 11:54:20	ga_s2am_ard_3-2-1_50JQT_2019-03-18_final
2019-03-18 11:54:30	ga_s2am_ard_3-2-1_50KLU_2019-03-18_final
2019-03-28 11:54:23	ga_s2am_ard_3-2-1_50JQT_2019-03-28_final
2019-06-06 11:54:25	ga_s2am_ard_3-2-1_50JQT_2019-06-06_final
2019-06-09 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-06-09_final
2019-06-17 11:25:49	ga_s2am_ard_3-2-1_51JYG_2019-06-17_final
2019-07-07 11:25:50	ga_s2am_ard_3-2-1_51JYG_2019-07-07_final
2019-07-17 11:25:50	ga_s2am_ard_3-2-1_51JYG_2019-07-17_final
2019-07-23 11:46:12	ga_s2am_ard_3-2-1_51JTF_2019-07-23_final
2019-07-26 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-26_final.stac-item
2019-07-26 11:54:28	ga_s2am_ard_3-2-1_50JQT_2019-07-26_final
2019-10-14 11:54:26	ga_s2am_ard_3-2-1_50JQT_2019-10-14_final
2020-01-02 11:53:33	ga_s2am_ard_3-2-1_50KNB_2020-01-02_final
2020-01-19 11:46:02	ga_s2am_ard_3-2-1_51JTF_2020-01-19_final
2020-02-14 12:04:22	ga_s2am_ard_3-2-1_50JMT_2020-02-14_final
2020-02-21 11:54:18	ga_s2am_ard_3-2-1_50JQT_2020-02-21_final
2020-04-11 11:54:32	ga_s2am_ard_3-2-1_50KLU_2020-04-11_final
2020-05-01 11:54:26	ga_s2am_ard_3-2-1_50KQU_2020-05-01_final
2020-05-22 11:25:50	ga_s2am_ard_3-2-1_51JYG_2020-05-22_final
2020-06-30 11:53:08	ga_s2am_ard_3-2-1_50KQD_2020-06-30_final.stac-item
2020-07-07 11:46:17	ga_s2am_ard_3-2-1_50JMM_2020-07-07_final
2020-07-11 11:25:49	ga_s2am_ard_3-2-1_51JYG_2020-07-11_final
2020-07-31 11:25:51	ga_s2am_ard_3-2-1_51JYG_2020-07-31_final
2020-08-19 11:54:39	ga_s2am_ard_3-2-1_50KLU_2020-08-19_final
2020-08-29 11:54:38	ga_s2am_ard_3-2-1_50KLU_2020-08-29_final
2020-10-08 11:54:29	ga_s2am_ard_3-2-1_50JQT_2020-10-08_final
2020-10-18 11:54:29	ga_s2am_ard_3-2-1_50JQT_2020-10-18_final
2020-12-27 11:54:23	ga_s2am_ard_3-2-1_50JQT_2020-12-27_final
2021-02-01 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-02-01_final
2021-03-17 11:54:22	ga_s2am_ard_3-2-1_50JQT_2021-03-17_final
2021-03-28 11:25:43	ga_s2am_ard_3-2-1_51JYG_2021-03-28_final
2021-04-16 11:54:17	ga_s2am_ard_3-2-1_50JQT_2021-04-16_final
2021-04-26 11:54:20	ga_s2am_ard_3-2-1_50JQT_2021-04-26_final
2021-04-27 11:25:42	ga_s2am_ard_3-2-1_51JYG_2021-04-27_final
2021-05-17 11:25:45	ga_s2am_ard_3-2-1_51JYG_2021-05-17_final
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-06_final
2021-06-15 11:54:24	ga_s2am_ard_3-2-1_50JQT_2021-06-15_final
2021-06-26 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-26_final
2021-07-06 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-07-06_final
2021-07-16 11:25:48	ga_s2am_ard_3-2-1_51JYG_2021-07-16_final
2021-07-25 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-07-25_final
2021-07-26 11:25:48	ga_s2am_ard_3-2-1_51JYG_2021-07-26_final
2021-08-04 11:54:26	ga_s2am_ard_3-2-1_50JQT_2021-08-04_final
2021-08-15 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-08-15_final
2021-08-21 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-08-21_final
2021-09-04 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-09-04_final
2021-09-27 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-09-27_final
2021-12-22 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-12-22_final.stac-item
2022-01-01 11:54:25	ga_s2am_ard_3-2-1_50JQT_2022-01-01_final
2022-01-31 11:54:23	ga_s2am_ard_3-2-1_50JQT_2022-01-31_final
2022-02-20 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-02-20_final.stac-item
2022-04-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final
2022-05-02 11:25:50	ga_s2am_ard_3-2-1_51JYG_2022-05-02_final
2022-07-10 11:54:05	ga_s2am_ard_3-2-1_50KQV_2022-07-10_final
2022-07-27 11:46:17	ga_s2am_ard_3-2-1_51JTF_2022-07-27_final
2022-08-30 11:25:57	ga_s2am_ard_3-2-1_51JYG_2022-08-30_final
2022-12-13 12:14:31	ga_s2am_ard_3-2-1_49KFP_2022-12-13_nrt.stac-item
2022-12-15 11:16:30	ga_s2am_ard_3-2-1_51HWE_2022-12-15_final.stac-item
2023-02-03 11:16:18	ga_s2am_ard_3-2-1_51JWF_2023-02-03_final.stac-item
2023-02-05 11:54:22	ga_s2am_ard_3-2-1_50JQT_2023-02-05_final.stac-item
2023-04-27 11:25:45	ga_s2am_ard_3-2-1_51JYG_2023-04-27_final.stac-item
2023-05-27 11:25:48	ga_s2am_ard_3-2-1_51JYG_2023-05-27_final.stac-item
2023-06-06 11:25:48	ga_s2am_ard_3-2-1_51JYG_2023-06-06_final.stac-item
2023-08-18 11:35:30	ga_s2am_ard_3-2-1_51JWJ_2023-08-18_final.stac-item
2023-10-03 11:52:39	ga_s2am_ard_3-2-1_50KPF_2023-10-03_final.stac-item
2023-10-13 11:54:21	ga_s2am_ard_3-2-1_50JQT_2023-10-13_final.stac-item
2023-10-19 12:15:19	ga_s2am_ard_3-2-1_49JGK_2023-10-19_final.stac-item
2023-12-02 11:54:15	ga_s2am_ard_3-2-1_50JQT_2023-12-02_final.stac-item
2023-12-23 11:26:51	ga_s2am_ard_3-2-1_51HWC_2023-12-23_final.stac-item
2024-01-25 11:36:28	ga_s2am_ard_3-2-1_51HVD_2024-01-25_final.stac-item
2024-02-08 11:16:30	ga_s2am_ard_3-2-1_51HWD_2024-02-08_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