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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQK_2016-03-20_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HMJ_2016-06-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JLP_2016-11-28_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JML_2016-12-28_final
2017-01-04 11:46:21	ga_s2am_ard_3-2-1_50HQJ_2017-01-04_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JMM_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQJ_2017-01-14_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JMM_2017-02-13_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGK_2017-03-31_final.stac-item
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HMG_2017-05-17_final.stac-item
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-08-01_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLM_2017-08-25_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQK_2017-11-07_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLH_2017-12-10_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JLP_2018-04-12_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLT_2018-05-05_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HNG_2018-05-16_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-10-22_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLP_2018-10-29_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-11-04_final
2019-01-07 11:56:25	ga_s2am_ard_3-2-1_50HNK_2019-01-07_final
2019-02-20 11:36:30	ga_s2am_ard_3-2-1_50HQK_2019-02-20_final
2019-03-04 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-03-04_final
2019-03-18 11:57:20	ga_s2am_ard_3-2-1_50HLG_2019-03-18_final.stac-item
2019-03-24 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2019-03-24_final
2019-04-27 11:56:11	ga_s2am_ard_3-2-1_50JMM_2019-04-27_final
2019-07-06 11:55:51	ga_s2am_ard_3-2-1_50JKP_2019-07-06_final
2019-07-09 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-09_final
2019-08-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-08-11_final
2019-08-19 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-08-19_final
2019-09-01 11:46:13	ga_s2am_ard_3-2-1_50JMM_2019-09-01_final
2019-09-21 11:46:13	ga_s2am_ard_3-2-1_50JMM_2019-09-21_final
2019-10-07 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-10-07_final
2019-10-07 12:06:06	ga_s2am_ard_3-2-1_50JLM_2019-10-07_final
2019-10-14 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-10-14_final
2019-11-03 11:56:06	ga_s2am_ard_3-2-1_50JMM_2019-11-03_final
2019-11-03 11:56:08	ga_s2am_ard_3-2-1_50JKN_2019-11-03_final
2019-11-06 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-11-06_final
2019-11-13 11:55:44	ga_s2am_ard_3-2-1_50JLP_2019-11-13_final
2019-11-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-11-16_final.stac-item
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2020-02-11 11:57:16	ga_s2am_ard_3-2-1_50HLG_2020-02-11_final.stac-item
2020-05-17 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-05-17_final
2020-05-18 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-05-18_final
2020-05-21 11:54:50	ga_s2am_ard_3-2-1_50JLT_2020-05-21_final
2020-06-03 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-03_final
2020-06-17 11:46:19	ga_s2am_ard_3-2-1_50JMM_2020-06-17_final
2020-07-10 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-07-10_final
2020-07-16 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-07-16_final
2020-07-27 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-07-27_final
2020-08-22 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-08-22_final
2020-10-11 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-10-11_final
2020-10-18 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-18_final
2020-11-20 12:04:42	ga_s2am_ard_3-2-1_50JLT_2020-11-20_final
2020-11-21 11:36:36	ga_s2am_ard_3-2-1_50HQK_2020-11-21_final
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final
2021-01-29 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-01-29_final
2021-02-25 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-02-25_final
2021-03-17 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-03-17_final
2021-03-31 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-03-31_final
2021-04-02 12:13:37	ga_s2am_ard_3-2-1_49KHS_2021-04-02_final.stac-item
2021-06-15 11:55:53	ga_s2am_ard_3-2-1_50JMN_2021-06-15_final
2021-09-29 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-09-29_final
2021-11-12 11:54:46	ga_s2am_ard_3-2-1_50JLT_2021-11-12_final
2022-01-01 11:55:43	ga_s2am_ard_3-2-1_50JLP_2022-01-01_final
2022-01-27 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-01-27_final
2022-03-09 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2022-03-09_final
2022-04-14 12:04:31	ga_s2am_ard_3-2-1_49KHP_2022-04-14_final
2022-05-04 12:05:42	ga_s2am_ard_3-2-1_50JLP_2022-05-04_final
2022-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2022-05-21_final
2022-09-11 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-09-11_final.stac-item
2022-09-28 11:54:48	ga_s2am_ard_3-2-1_50JMT_2022-09-28_final.stac-item
2022-09-28 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-09-28_final.stac-item
2022-12-24 11:46:28	ga_s2am_ard_3-2-1_50HQK_2022-12-24_final.stac-item
2022-12-30 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2022-12-30_final.stac-item
2023-01-26 11:54:52	ga_s2am_ard_3-2-1_50JMS_2023-01-26_final.stac-item
2023-02-02 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-02-02_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-02-22 11:47:04	ga_s2am_ard_3-2-1_50HNH_2023-02-22_final.stac-item
2023-02-22 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-22_final.stac-item
2023-02-28 12:04:37	ga_s2am_ard_3-2-1_50JLT_2023-02-28_final.stac-item
2023-04-19 12:05:36	ga_s2am_ard_3-2-1_50JLP_2023-04-19_final.stac-item
2023-04-29 12:05:38	ga_s2am_ard_3-2-1_50JLP_2023-04-29_final.stac-item
2023-05-09 12:05:37	ga_s2am_ard_3-2-1_50JLP_2023-05-09_final.stac-item
2023-08-21 11:47:16	ga_s2am_ard_3-2-1_50HMH_2023-08-21_final.stac-item
2023-09-03 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2023-09-03_final.stac-item
2023-09-06 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2023-09-06_final.stac-item
2023-09-07 11:36:39	ga_s2am_ard_3-2-1_50HQK_2023-09-07_final.stac-item
2023-11-05 12:04:56	ga_s2am_ard_3-2-1_50JKS_2023-11-05_final.stac-item
2023-11-29 11:46:22	ga_s2am_ard_3-2-1_50HQK_2023-11-29_final.stac-item
2023-12-12 11:56:35	ga_s2am_ard_3-2-1_50HLK_2023-12-12_final.stac-item
2023-12-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-12-19_final.stac-item
2024-01-04 12:04:39	ga_s2am_ard_3-2-1_50JKT_2024-01-04_final.stac-item
2024-01-15 11:36:27	ga_s2am_ard_3-2-1_50HQK_2024-01-15_final.stac-item
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_49KHS_2024-01-24_final.stac-item
2024-01-31 11:56:01	ga_s2am_ard_3-2-1_50JLM_2024-01-31_final.stac-item
2024-03-11 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-03-11_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