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
2015-10-24 10:43:12	ga_s2am_ard_3-2-1_53JPM_2015-10-24_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52KHE_2016-04-14_final.stac-item
2016-04-24 10:52:19	ga_s2am_ard_3-2-1_52KHE_2016-04-24_final.stac-item
2016-05-14 10:52:22	ga_s2am_ard_3-2-1_52KHE_2016-05-14_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVU_2016-06-05_final.stac-item
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_53KPP_2016-12-17_final
2017-07-02 10:30:35	ga_s2am_ard_3-2-1_53HME_2017-07-02_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KWT_2017-09-08_final
2017-12-02 10:43:45	ga_s2am_ard_3-2-1_53KPP_2017-12-02_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVT_2018-01-06_final
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_53JNN_2018-01-18_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KTU_2018-02-28_final
2018-04-18 10:34:18	ga_s2am_ard_3-2-1_53JNM_2018-04-18_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KVT_2018-04-29_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KYU_2018-06-02_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHS_2018-06-24_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KXT_2018-08-24_final
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_53JQM_2018-10-05_final
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53JQN_2018-10-15_final
2018-10-30 11:16:56	ga_s2am_ard_3-2-1_51KXU_2018-10-30_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53HPB_2018-11-04_final
2018-11-09 11:22:43	ga_s2am_ard_3-2-1_52KCD_2018-11-09_final
2018-11-24 10:34:18	ga_s2am_ard_3-2-1_53JNM_2018-11-24_final
2019-01-05 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2019-01-05_final
2019-06-24 11:13:25	ga_s2am_ard_3-2-1_52KEB_2019-06-24_final
2019-07-02 10:34:18	ga_s2am_ard_3-2-1_53JNN_2019-07-02_final
2019-07-14 11:13:27	ga_s2am_ard_3-2-1_52KEB_2019-07-14_final
2019-08-26 11:23:12	ga_s2am_ard_3-2-1_51KYT_2019-08-26_final
2019-09-05 11:23:10	ga_s2am_ard_3-2-1_51KYT_2019-09-05_final
2019-09-10 10:34:02	ga_s2am_ard_3-2-1_53JQN_2019-09-10_final
2019-10-28 11:33:05	ga_s2am_ard_3-2-1_51KYT_2019-10-28_final
2019-10-31 11:43:18	ga_s2am_ard_3-2-1_51KUT_2019-10-31_final
2019-12-07 11:37:15	ga_s2am_ard_3-2-1_50HQG_2019-12-07_final.stac-item
2019-12-19 12:13:33	ga_s2am_ard_3-2-1_50KKB_2019-12-19_final
2020-01-08 10:33:54	ga_s2am_ard_3-2-1_53JRN_2020-01-08_final
2020-01-26 11:33:35	ga_s2am_ard_3-2-1_51KWR_2020-01-26_final
2020-02-02 11:23:20	ga_s2am_ard_3-2-1_51KXS_2020-02-02_final
2020-02-04 10:26:38	ga_s2am_ard_3-2-1_53HQB_2020-02-04_final
2020-02-15 11:33:21	ga_s2am_ard_3-2-1_51KWS_2020-02-15_final
2020-02-24 10:26:41	ga_s2am_ard_3-2-1_53HQB_2020-02-24_final
2020-02-25 11:32:54	ga_s2am_ard_3-2-1_51KVU_2020-02-25_final
2020-03-09 11:42:12	ga_s2am_ard_3-2-1_51KUB_2020-03-09_final.stac-item
2020-03-29 11:43:25	ga_s2am_ard_3-2-1_51KUS_2020-03-29_final
2020-04-17 10:34:18	ga_s2am_ard_3-2-1_53JQM_2020-04-17_final
2020-06-04 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-06-04_final
2020-06-21 11:23:10	ga_s2am_ard_3-2-1_51KXU_2020-06-21_final
2020-07-17 11:43:34	ga_s2am_ard_3-2-1_51KUS_2020-07-17_final
2020-08-14 11:00:36	ga_s2am_ard_3-2-1_52LHN_2020-08-14_final
2020-08-25 10:33:55	ga_s2am_ard_3-2-1_53KQP_2020-08-25_final
2020-09-04 10:33:54	ga_s2am_ard_3-2-1_53KQP_2020-09-04_final
2020-09-04 10:36:15	ga_s2am_ard_3-2-1_53HME_2020-09-04_final
2020-09-14 10:34:29	ga_s2am_ard_3-2-1_53JNM_2020-09-14_final
2020-10-14 10:34:31	ga_s2am_ard_3-2-1_53JNM_2020-10-14_final
2020-10-22 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-10-22_final.stac-item
2021-01-10 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-01-10_final
2021-01-20 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-20_final
2021-02-11 10:34:17	ga_s2am_ard_3-2-1_53JQM_2021-02-11_final
2021-04-12 10:34:27	ga_s2am_ard_3-2-1_53JQL_2021-04-12_final
2021-06-19 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-06-19_final.stac-item
2021-07-06 11:23:09	ga_s2am_ard_3-2-1_52KBC_2021-07-06_final
2021-07-19 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-07-19_final
2021-07-21 10:34:50	ga_s2am_ard_3-2-1_53JQK_2021-07-21_final
2021-07-22 11:43:32	ga_s2am_ard_3-2-1_51KUS_2021-07-22_final
2021-07-26 11:23:09	ga_s2am_ard_3-2-1_52KBC_2021-07-26_final
2021-07-29 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-07-29_final
2021-08-28 11:33:40	ga_s2am_ard_3-2-1_51KXR_2021-08-28_final
2021-10-07 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-07_final
2021-10-17 11:33:18	ga_s2am_ard_3-2-1_51KWT_2021-10-17_final
2021-11-18 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-11-18_final
2021-11-18 10:34:36	ga_s2am_ard_3-2-1_53JPL_2021-11-18_final
2021-12-19 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-12-19_final
2021-12-30 11:11:03	ga_s2am_ard_3-2-1_52LFL_2021-12-30_final
2022-02-06 10:34:13	ga_s2am_ard_3-2-1_53JNN_2022-02-06_final
2022-03-28 12:13:42	ga_s2am_ard_3-2-1_50KKB_2022-03-28_final
2022-03-29 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2022-03-29_final
2022-05-17 10:33:51	ga_s2am_ard_3-2-1_53KRP_2022-05-17_final
2022-05-22 11:23:02	ga_s2am_ard_3-2-1_51KYU_2022-05-22_final
2022-06-24 11:33:34	ga_s2am_ard_3-2-1_51KUT_2022-06-24_final
2022-07-14 11:33:34	ga_s2am_ard_3-2-1_51KUT_2022-07-14_final
2022-07-17 11:43:15	ga_s2am_ard_3-2-1_51KTU_2022-07-17_final
2022-09-05 11:43:26	ga_s2am_ard_3-2-1_51KUT_2022-09-05_final.stac-item
2022-09-28 11:53:18	ga_s2am_ard_3-2-1_50KRC_2022-09-28_final.stac-item
2022-10-01 10:25:13	ga_s2am_ard_3-2-1_53JQJ_2022-10-01_final.stac-item
2022-10-02 11:32:47	ga_s2am_ard_3-2-1_51KXV_2022-10-02_final.stac-item
2022-12-14 11:43:00	ga_s2am_ard_3-2-1_51KUU_2022-12-14_final.stac-item
2023-01-11 11:06:16	ga_s2am_ard_3-2-1_52HDK_2023-01-11_final.stac-item
2023-01-24 11:11:30	ga_s2am_ard_3-2-1_52LEJ_2023-01-24_final.stac-item
2023-01-30 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-30_final.stac-item
2023-05-12 10:34:13	ga_s2am_ard_3-2-1_53JRM_2023-05-12_final.stac-item
2023-05-24 11:13:36	ga_s2am_ard_3-2-1_52KDA_2023-05-24_final.stac-item
2023-06-25 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-06-25_final.stac-item
2023-07-06 11:23:26	ga_s2am_ard_3-2-1_52KBB_2023-07-06_final.stac-item
2023-07-06 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2023-07-06_final.stac-item
2023-08-15 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-08-15_final.stac-item
2023-09-09 10:34:09	ga_s2am_ard_3-2-1_53JQN_2023-09-09_final.stac-item
2023-11-06 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-11-06_final.stac-item
2024-01-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2024-01-15_final.stac-item
2024-02-26 10:34:03	ga_s2am_ard_3-2-1_53JQN_2024-02-26_final.stac-item
2024-04-02 10:52:28	ga_s2am_ard_3-2-1_53KKV_2024-04-02_final.stac-item
2024-05-09 10:44:09	ga_s2am_ard_3-2-1_53JNN_2024-05-09_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