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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMC_2016-03-03_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-04-08_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_50KKA_2016-04-18_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNP_2016-04-29_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLJ_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLN_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQP_2016-05-29_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50KKB_2016-08-03_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HLK_2016-08-10_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KKB_2016-08-23_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMK_2016-10-09_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHP_2017-02-19_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KLC_2017-07-29_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQH_2017-07-30_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKQ_2017-08-08_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_50JQM_2017-10-08_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLN_2017-12-16_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPG_2018-02-08_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKN_2018-05-05_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HNG_2018-07-05_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-08-06_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKQ_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final
2019-03-01 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-03-01_final.stac-item
2019-04-14 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-04-14 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2019-04-14_final
2019-04-21 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-04-21_final.stac-item
2019-05-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-05-07_final
2019-06-06 11:55:44	ga_s2am_ard_3-2-1_50JKP_2019-06-06_final
2019-06-13 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-06-13_final
2019-06-30 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-06-30_final
2019-08-15 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-08-15_final
2019-09-01 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2019-09-01_final
2019-10-11 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-10-11_final
2019-10-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2019-10-14_final
2019-10-31 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-10-31_final
2019-11-20 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-11-20_final
2019-12-06 12:05:27	ga_s2am_ard_3-2-1_49JGK_2019-12-06_final
2019-12-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2019-12-07_final
2019-12-17 11:37:15	ga_s2am_ard_3-2-1_50HPG_2019-12-17_final.stac-item
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final
2020-02-18 11:46:07	ga_s2am_ard_3-2-1_50JMM_2020-02-18_final
2020-02-21 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-02-21_final
2020-03-19 11:46:30	ga_s2am_ard_3-2-1_50HPK_2020-03-19_final
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-04-25 11:37:23	ga_s2am_ard_3-2-1_50HPG_2020-04-25_final.stac-item
2020-04-27 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-04-27_final
2020-07-07 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-07_final
2020-08-12 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-08-12_final
2020-08-12 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-12_final
2020-09-01 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-09-01_final
2020-10-01 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-01_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-11-21 11:37:09	ga_s2am_ard_3-2-1_50HPH_2020-11-21_final
2021-02-05 11:55:09	ga_s2am_ard_3-2-1_50JMR_2021-02-05_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-02-28 12:03:41	ga_s2am_ard_3-2-1_50KLB_2021-02-28_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-03-20_final.stac-item
2021-03-30 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-03-30_final
2021-04-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-04-19_final
2021-04-30 11:36:03	ga_s2am_ard_3-2-1_50JQM_2021-04-30_final
2021-05-06 11:57:04	ga_s2am_ard_3-2-1_50HMH_2021-05-06_final
2021-05-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-05-09_final
2021-05-16 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-05-16_final
2021-07-18 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-18_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-10-03 11:55:54	ga_s2am_ard_3-2-1_50JNN_2021-10-03_final
2021-10-09 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-09_final
2021-10-16 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-16_final
2021-11-18 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-18_final
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-02-06_final
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final
2022-04-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-04-07_final
2022-05-15 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-15_final
2022-06-10 11:55:33	ga_s2am_ard_3-2-1_50JMQ_2022-06-10_final
2022-06-17 11:46:54	ga_s2am_ard_3-2-1_50HQJ_2022-06-17_final
2022-07-24 11:37:32	ga_s2am_ard_3-2-1_50HPG_2022-07-24_final.stac-item
2022-07-27 11:47:12	ga_s2am_ard_3-2-1_50HPH_2022-07-27_final
2022-09-11 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-09-11_final.stac-item
2022-09-25 11:46:30	ga_s2am_ard_3-2-1_50JNL_2022-09-25_final.stac-item
2022-10-21 12:03:42	ga_s2am_ard_3-2-1_50KLB_2022-10-21_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_50KKB_2022-10-21_final.stac-item
2022-11-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-11-03_final.stac-item
2022-12-20 12:06:03	ga_s2am_ard_3-2-1_50JLM_2022-12-20_final.stac-item
2022-12-21 11:37:15	ga_s2am_ard_3-2-1_50HQG_2022-12-21_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_50KKB_2022-12-30_final.stac-item
2023-01-16 11:53:21	ga_s2am_ard_3-2-1_50KNC_2023-01-16_final.stac-item
2023-04-06 11:52:37	ga_s2am_ard_3-2-1_50KPF_2023-04-06_final.stac-item
2023-05-12 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-05-12_final.stac-item
2023-11-02 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-11-02_final.stac-item
2023-11-12 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-11-12_final.stac-item
2023-11-15 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-11-15_final.stac-item
2024-03-01 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-01_final.stac-item
2024-04-23 12:03:47	ga_s2am_ard_3-2-1_50KKB_2024-04-23_final.stac-item
2024-04-30 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2024-04-30_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