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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHQ_2016-02-15_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMJ_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNN_2016-06-11_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2016-06-24_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMH_2016-07-08_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JHM_2016-08-23_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMK_2016-09-29_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMS_2016-10-09_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2016-11-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQG_2016-11-22_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMK_2016-12-15_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPG_2016-12-15_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JKT_2016-12-21_final
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JHM_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKQ_2016-12-31_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLH_2017-01-24_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMH_2017-02-16_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KGQ_2017-03-11_final
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_49KHS_2017-03-14_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JMS_2017-05-10_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHP_2017-08-21_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JMR_2017-08-25_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JNN_2017-10-24_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMK_2017-12-23_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMK_2018-02-11_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-02-27_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMK_2018-05-22_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JHM_2018-06-14_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-08-03_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMK_2018-08-10_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HQK_2018-08-27_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-10-12_final
2019-01-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-01-07_final
2019-01-10 12:04:52	ga_s2am_ard_3-2-1_50JKS_2019-01-10_final
2019-02-09 12:04:54	ga_s2am_ard_3-2-1_50JKS_2019-02-09_final
2019-03-25 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2019-03-25_final
2019-03-31 12:04:57	ga_s2am_ard_3-2-1_50JKS_2019-03-31_final
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-04-20_final.stac-item
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-05-30_final.stac-item
2019-06-09 12:04:51	ga_s2am_ard_3-2-1_50JMS_2019-06-09_final
2019-07-16 11:55:44	ga_s2am_ard_3-2-1_50JMP_2019-07-16_final
2019-08-18 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-08-18_final
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_50JKS_2019-08-28_final
2019-09-14 11:55:48	ga_s2am_ard_3-2-1_50JNN_2019-09-14_final
2019-10-07 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2019-10-07_final
2019-11-06 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-11-06_final
2019-11-26 12:04:39	ga_s2am_ard_3-2-1_50JLT_2019-11-26_final
2019-12-26 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2019-12-26_final
2020-01-25 12:04:50	ga_s2am_ard_3-2-1_49JHM_2020-01-25_final
2020-04-04 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2020-04-04_final
2020-05-01 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2020-05-01_final
2020-06-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-06-23_final.stac-item
2020-07-27 11:46:07	ga_s2am_ard_3-2-1_50JNN_2020-07-27_final
2020-08-02 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-08-02_final
2020-08-19 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-08-19_final
2020-10-31 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-31_final
2020-12-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2020-12-01_final
2021-01-13 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-13_final
2021-01-26 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-01-26_final
2021-03-07 11:54:40	ga_s2am_ard_3-2-1_50JMT_2021-03-07_final
2021-03-20 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-03-20_final
2021-03-24 11:46:39	ga_s2am_ard_3-2-1_50HMK_2021-03-24_final
2021-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-05-09_final
2021-06-28 12:04:41	ga_s2am_ard_3-2-1_50JLT_2021-06-28_final
2021-07-02 11:45:56	ga_s2am_ard_3-2-1_50JNN_2021-07-02_final
2021-11-02 11:55:54	ga_s2am_ard_3-2-1_50JNN_2021-11-02_final
2022-01-24 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-01-24_final.stac-item
2022-01-24 12:04:57	ga_s2am_ard_3-2-1_50JKS_2022-01-24_final
2022-03-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-05_final
2022-07-03 12:05:39	ga_s2am_ard_3-2-1_50JKQ_2022-07-03_final
2022-09-01 12:05:38	ga_s2am_ard_3-2-1_50JKQ_2022-09-01_final.stac-item
2022-10-25 11:47:23	ga_s2am_ard_3-2-1_50HNG_2022-10-25_final.stac-item
2022-10-28 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-10-28_final.stac-item
2023-02-15 11:54:41	ga_s2am_ard_3-2-1_50JLT_2023-02-15_final.stac-item
2023-02-18 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2023-02-18_final.stac-item
2023-03-10 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-04-03 11:45:53	ga_s2am_ard_3-2-1_50JNN_2023-04-03_final.stac-item
2023-04-23 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-04-23_final.stac-item
2023-05-03 11:46:13	ga_s2am_ard_3-2-1_50JMM_2023-05-03_final.stac-item
2023-05-26 11:56:33	ga_s2am_ard_3-2-1_50HNK_2023-05-26_final.stac-item
2023-06-08 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-06-08_final.stac-item
2023-07-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-07-01_final.stac-item
2023-07-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-07-02_final.stac-item
2023-08-01 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-01_final.stac-item
2023-08-17 12:05:03	ga_s2am_ard_3-2-1_50JKS_2023-08-17_final.stac-item
2023-09-13 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-09-13_final.stac-item
2023-11-09 11:45:53	ga_s2am_ard_3-2-1_50JNN_2023-11-09_final.stac-item
2023-11-12 11:55:38	ga_s2am_ard_3-2-1_50JMP_2023-11-12_final.stac-item
2023-11-25 12:04:51	ga_s2am_ard_3-2-1_49JHM_2023-11-25_final.stac-item
2023-12-22 11:55:45	ga_s2am_ard_3-2-1_50JNN_2023-12-22_final.stac-item
2024-01-14 12:03:38	ga_s2am_ard_3-2-1_49KHS_2024-01-14_final.stac-item
2024-01-27 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2024-01-27_final.stac-item
2024-01-31 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2024-01-31_final.stac-item
2024-02-23 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2024-02-23_final.stac-item
2024-04-10 11:56:37	ga_s2am_ard_3-2-1_50HMK_2024-04-10_final.stac-item
2024-04-17 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2024-04-17_final.stac-item
2024-04-27 11:47:19	ga_s2am_ard_3-2-1_50HPG_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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