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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KGP_2015-10-08_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMH_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KGP_2016-04-15_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMJ_2016-07-08_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JML_2016-08-10_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPG_2016-11-15_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-12-14_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNH_2016-12-25_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HMH_2017-03-25_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49KGP_2017-04-03_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKP_2017-05-30_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KGP_2017-08-18_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HQK_2017-09-21_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGN_2017-09-30_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGL_2017-11-16_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JLN_2018-04-12_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNG_2018-04-29_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-17_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLL_2018-07-31_final
2018-11-08 11:55:54	ga_s2am_ard_3-2-1_50JLN_2018-11-08_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2019-02-13 11:47:08	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-02-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-02-22_final
2019-02-26 11:55:55	ga_s2am_ard_3-2-1_50JKN_2019-02-26_final
2019-05-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-05-10_final
2019-07-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2019-07-02_final
2019-07-16 11:54:49	ga_s2am_ard_3-2-1_50JLT_2019-07-16_final
2019-08-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-08-12_final
2019-08-25 11:56:20	ga_s2am_ard_3-2-1_50JNL_2019-08-25_final
2019-08-29 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-08-29_final.stac-item
2019-09-27 12:05:53	ga_s2am_ard_3-2-1_50JLN_2019-09-27_final
2019-11-06 12:05:00	ga_s2am_ard_3-2-1_50JKS_2019-11-06_final
2019-12-07 11:37:00	ga_s2am_ard_3-2-1_50HQH_2019-12-07_final
2020-01-15 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-15_final
2020-02-08 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2020-02-08_final
2020-02-24 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-02-24_final.stac-item
2020-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-05-08_final
2020-06-14 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-14_final
2020-06-20 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-06-20_final
2020-06-20 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-06-20_final
2020-06-23 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-06-23_final
2020-07-06 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-06_final
2020-07-20 11:56:01	ga_s2am_ard_3-2-1_50JLN_2020-07-20_final
2020-09-04 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-09-04_final
2020-09-05 11:46:34	ga_s2am_ard_3-2-1_50JML_2020-09-05_final
2020-10-15 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-10-15_final
2020-11-10 12:04:32	ga_s2am_ard_3-2-1_49KHP_2020-11-10_final
2020-11-21 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final
2020-12-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-12-30_final
2021-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-05_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-05-16 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-05-16_final
2021-05-23 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-05-23_final
2021-08-27 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-08-27_final
2021-08-30 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-08-30_final
2021-09-06 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-09-06_final
2021-09-19 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-09-19_final
2021-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-09-20_final
2021-12-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2021-12-12_final
2021-12-19 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-12-19_final
2022-01-18 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2022-01-18_final
2022-01-27 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-01-27_final
2022-01-28 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-01-28_final
2022-02-27 11:46:29	ga_s2am_ard_3-2-1_50JML_2022-02-27_final
2022-04-08 11:46:27	ga_s2am_ard_3-2-1_50JML_2022-04-08_final
2022-04-21 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-04-21_final.stac-item
2022-05-21 11:56:24	ga_s2am_ard_3-2-1_50JNL_2022-05-21_final
2022-05-25 11:37:10	ga_s2am_ard_3-2-1_50HQH_2022-05-25_final
2022-07-07 11:46:36	ga_s2am_ard_3-2-1_50JNL_2022-07-07_final
2022-07-16 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-07-16_final
2022-07-26 12:14:51	ga_s2am_ard_3-2-1_49JGN_2022-07-26_final
2022-07-27 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-07-27_final
2022-10-15 11:46:30	ga_s2am_ard_3-2-1_50JML_2022-10-15_final.stac-item
2022-10-21 12:05:39	ga_s2am_ard_3-2-1_50JLP_2022-10-21_final.stac-item
2023-01-16 11:55:06	ga_s2am_ard_3-2-1_50JMR_2023-01-16_final.stac-item
2023-02-21 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-02-21_final.stac-item
2023-03-11 11:37:16	ga_s2am_ard_3-2-1_50HPG_2023-03-11_final.stac-item
2023-04-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-04-06_final.stac-item
2023-04-29 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-04-29_final.stac-item
2023-05-19 12:05:03	ga_s2am_ard_3-2-1_49JGM_2023-05-19_final.stac-item
2023-05-23 11:47:27	ga_s2am_ard_3-2-1_50HMG_2023-05-23_final.stac-item
2023-07-05 11:55:00	ga_s2am_ard_3-2-1_50JMS_2023-07-05_final.stac-item
2023-07-11 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-07-11_final.stac-item
2023-07-15 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-07-15_final.stac-item
2023-07-18 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-18_final.stac-item
2023-07-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-07-22_final.stac-item
2023-08-10 12:13:59	ga_s2am_ard_3-2-1_49KHR_2023-08-10_final.stac-item
2023-08-31 11:46:43	ga_s2am_ard_3-2-1_50HNK_2023-08-31_final.stac-item
2023-11-22 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-11-22_final.stac-item
2023-11-26 11:36:28	ga_s2am_ard_3-2-1_50HQK_2023-11-26_final.stac-item
2023-12-19 11:46:26	ga_s2am_ard_3-2-1_50HQK_2023-12-19_final.stac-item
2024-01-08 11:46:22	ga_s2am_ard_3-2-1_50JML_2024-01-08_final.stac-item
2024-01-08 11:46:29	ga_s2am_ard_3-2-1_50HPK_2024-01-08_final.stac-item
2024-01-08 11:47:13	ga_s2am_ard_3-2-1_50HPG_2024-01-08_final.stac-item
2024-01-28 11:47:01	ga_s2am_ard_3-2-1_50HNH_2024-01-28_final.stac-item
2024-02-13 12:05:45	ga_s2am_ard_3-2-1_50JLN_2024-02-13_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