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
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JHM_2015-12-27_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HMK_2016-01-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLT_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLR_2016-03-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHM_2016-04-15_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2016-05-12_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHQ_2016-07-14_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KGQ_2016-08-23_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50JMM_2016-10-26_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHM_2016-11-01_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHP_2016-11-24_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-06-02_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMH_2017-06-26_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JKS_2017-09-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2017-10-07_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_50JKS_2017-11-16_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQK_2017-11-20_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JMP_2018-02-11_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMH_2018-03-03_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMK_2018-03-03_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HNG_2018-03-10_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMJ_2018-03-30_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HMJ_2018-05-09_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JHM_2018-05-15_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50HQK_2018-08-24_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-02_final
2018-11-25 11:46:22	ga_s2am_ard_3-2-1_50HQK_2018-11-25_final
2018-12-31 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-12-31_final
2019-01-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2019-01-11_final.stac-item
2019-01-20 12:04:53	ga_s2am_ard_3-2-1_49JHM_2019-01-20_final
2019-01-30 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2019-01-30_final
2019-02-19 12:04:50	ga_s2am_ard_3-2-1_50JLS_2019-02-19_final
2019-03-11 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2019-03-11_final
2019-03-25 11:46:39	ga_s2am_ard_3-2-1_50HMK_2019-03-25_final
2019-03-31 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2019-03-31_final
2019-04-10 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-04-10_final
2019-05-03 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-05-03_final.stac-item
2019-05-14 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-14_final
2019-06-09 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-06-09_final
2019-07-09 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-09_final
2019-07-26 11:55:03	ga_s2am_ard_3-2-1_50JLS_2019-07-26_final
2019-07-29 12:05:02	ga_s2am_ard_3-2-1_50JKS_2019-07-29_final
2019-08-08 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-08-08_final
2019-10-30 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-10-30_final
2019-11-27 11:37:17	ga_s2am_ard_3-2-1_50HQG_2019-11-27_final.stac-item
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2020-01-06 11:37:12	ga_s2am_ard_3-2-1_50HQG_2020-01-06_final.stac-item
2020-02-04 12:04:48	ga_s2am_ard_3-2-1_49JHM_2020-02-04_final
2020-02-28 11:45:56	ga_s2am_ard_3-2-1_50JNN_2020-02-28_final
2020-03-09 11:47:12	ga_s2am_ard_3-2-1_50HLH_2020-03-09_final
2020-03-12 11:55:35	ga_s2am_ard_3-2-1_50JMP_2020-03-12_final
2020-04-01 11:56:32	ga_s2am_ard_3-2-1_50HMK_2020-04-01_final
2020-07-10 11:55:14	ga_s2am_ard_3-2-1_50JMR_2020-07-10_final
2020-10-11 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-11_final
2020-10-21 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-21_final.stac-item
2020-10-25 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-10-25_final
2020-12-17 11:55:47	ga_s2am_ard_3-2-1_50JNN_2020-12-17_final
2020-12-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-12-30_final
2021-01-16 11:54:56	ga_s2am_ard_3-2-1_50JMS_2021-01-16_final
2021-01-19 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-19_final
2021-01-23 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-01-23_final
2021-01-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-01-29_final
2021-06-05 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-06-05_final
2021-07-05 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2021-07-05_final
2021-08-04 11:55:16	ga_s2am_ard_3-2-1_50JLR_2021-08-04_final
2021-09-03 11:54:56	ga_s2am_ard_3-2-1_50JMS_2021-09-03_final
2021-10-29 12:13:45	ga_s2am_ard_3-2-1_49KHS_2021-10-29_final.stac-item
2021-11-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-11-05_final
2021-11-28 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-11-28_final
2021-12-05 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-12-05_final
2022-01-04 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-01-04_final.stac-item
2022-02-27 11:45:57	ga_s2am_ard_3-2-1_50JNN_2022-02-27_final
2022-03-08 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-03-08_final.stac-item
2022-04-11 11:55:14	ga_s2am_ard_3-2-1_50JLR_2022-04-11_final
2022-05-08 11:45:58	ga_s2am_ard_3-2-1_50JNN_2022-05-08_final
2022-05-08 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-05-08_final
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_49KHS_2022-05-24_final.stac-item
2022-06-07 11:46:49	ga_s2am_ard_3-2-1_50HMK_2022-06-07_final
2022-08-06 11:46:05	ga_s2am_ard_3-2-1_50JNN_2022-08-06_final
2022-08-19 11:56:02	ga_s2am_ard_3-2-1_50JNN_2022-08-19_final
2022-09-01 12:04:48	ga_s2am_ard_3-2-1_50JMT_2022-09-01_final.stac-item
2022-10-28 11:54:48	ga_s2am_ard_3-2-1_50JLT_2022-10-28_final.stac-item
2023-02-22 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-02-22_final.stac-item
2023-03-01 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-03-01_final.stac-item
2023-03-07 11:54:40	ga_s2am_ard_3-2-1_50JLT_2023-03-07_final.stac-item
2023-07-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-02_final.stac-item
2023-08-04 11:55:55	ga_s2am_ard_3-2-1_50JNN_2023-08-04_final.stac-item
2023-10-20 11:45:54	ga_s2am_ard_3-2-1_50JNN_2023-10-20_final.stac-item
2023-11-08 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-08_final.stac-item
2023-12-05 12:04:50	ga_s2am_ard_3-2-1_50JKS_2023-12-05_final.stac-item
2023-12-15 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-12-15_final.stac-item
2024-01-15 11:37:10	ga_s2am_ard_3-2-1_50HQG_2024-01-15_final.stac-item
2024-02-10 11:54:54	ga_s2am_ard_3-2-1_50JLS_2024-02-10_final.stac-item
2024-04-03 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2024-04-03_final.stac-item
2024-04-07 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2024-04-07_final.stac-item
2024-04-13 12:05:13	ga_s2am_ard_3-2-1_50JKR_2024-04-13_final.stac-item
2024-04-17 11:47:17	ga_s2am_ard_3-2-1_50HLH_2024-04-17_final.stac-item
2024-04-27 11:47:16	ga_s2am_ard_3-2-1_50HLH_2024-04-27_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

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