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_50JLM_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLQ_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JLT_2015-10-08_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHM_2015-12-07_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMJ_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKQ_2016-04-15_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HQH_2016-06-18_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-08-03_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLT_2016-09-02_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JMT_2016-09-19_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKS_2016-09-22_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HNG_2016-10-03_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JLS_2016-10-09_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JMP_2016-10-29_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JKQ_2016-11-01_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKS_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMK_2017-01-07_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HMK_2017-01-27_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMK_2017-02-16_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JMT_2017-02-26_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMJ_2017-03-05_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-03-31_final.stac-item
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-04-10_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-05-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2017-06-19_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JMT_2017-08-25_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGN_2017-09-17_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHN_2017-09-17_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HMK_2018-01-12_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2018-01-25_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HNG_2018-01-26_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-06-14_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HNG_2018-06-25_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHQ_2018-07-27_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKS_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JMS_2018-10-22_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HQK_2018-10-26_final
2018-12-04 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-04_final
2019-02-19 12:04:35	ga_s2am_ard_3-2-1_50JLT_2019-02-19_final
2019-03-01 12:05:09	ga_s2am_ard_3-2-1_50JKR_2019-03-01_final
2019-04-30 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-04-30_final
2019-08-18 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-08-18_final
2019-09-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2019-09-30_final
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final
2019-10-27 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-10-27_final.stac-item
2019-12-16 12:04:52	ga_s2am_ard_3-2-1_50JKS_2019-12-16_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_49KHS_2020-01-08_final.stac-item
2020-02-17 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-02-17_final
2020-03-18 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-18_final
2020-03-22 11:54:51	ga_s2am_ard_3-2-1_50JMS_2020-03-22_final
2020-05-08 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-05-08_final
2020-05-31 11:54:50	ga_s2am_ard_3-2-1_50JLT_2020-05-31_final
2020-06-03 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-06-03_final
2020-06-10 11:55:56	ga_s2am_ard_3-2-1_50JNN_2020-06-10_final
2020-06-16 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-06-16_final
2020-07-03 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-07-03_final
2020-07-23 12:05:02	ga_s2am_ard_3-2-1_50JKS_2020-07-23_final
2020-10-04 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-08 11:54:50	ga_s2am_ard_3-2-1_50JLT_2020-10-08_final
2020-11-13 12:14:49	ga_s2am_ard_3-2-1_49JFN_2020-11-13_final
2020-12-24 11:45:53	ga_s2am_ard_3-2-1_50JNN_2020-12-24_final
2021-01-06 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-06_final
2021-01-16 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-01-16_final
2021-02-22 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-02-22_final
2021-03-24 11:45:52	ga_s2am_ard_3-2-1_50JNN_2021-03-24_final
2021-04-03 11:45:51	ga_s2am_ard_3-2-1_50JNN_2021-04-03_final
2021-04-29 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2021-04-29_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-07-02 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-07-02_final.stac-item
2021-07-05 11:54:57	ga_s2am_ard_3-2-1_50JMS_2021-07-05_final
2021-07-15 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-15_final
2021-07-29 11:37:30	ga_s2am_ard_3-2-1_50HNG_2021-07-29_final.stac-item
2022-02-06 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-02-06_final
2022-02-23 12:04:59	ga_s2am_ard_3-2-1_50JKS_2022-02-23_final
2022-02-26 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-02-26_final.stac-item
2022-03-05 12:05:16	ga_s2am_ard_3-2-1_50JKR_2022-03-05_final
2022-03-19 11:45:57	ga_s2am_ard_3-2-1_50JNN_2022-03-19_final
2022-04-08 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-04-08_final
2022-04-24 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-04-24_final
2022-06-13 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-06-13_final.stac-item
2022-07-20 11:54:56	ga_s2am_ard_3-2-1_50JLT_2022-07-20_final
2022-08-09 11:55:10	ga_s2am_ard_3-2-1_50JLS_2022-08-09_final.stac-item
2022-10-21 12:04:41	ga_s2am_ard_3-2-1_50JLT_2022-10-21_final.stac-item
2022-11-21 11:36:34	ga_s2am_ard_3-2-1_50HQK_2022-11-21_final.stac-item
2022-12-27 11:54:43	ga_s2am_ard_3-2-1_50JLT_2022-12-27_final.stac-item
2023-03-27 11:55:37	ga_s2am_ard_3-2-1_50JMP_2023-03-27_final.stac-item
2023-05-26 11:55:16	ga_s2am_ard_3-2-1_50JLR_2023-05-26_final.stac-item
2023-07-08 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-07-08_final.stac-item
2023-08-17 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2023-08-17_final.stac-item
2023-08-30 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2023-08-30_final.stac-item
2023-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2023-09-19_final.stac-item
2023-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-19_final.stac-item
2024-01-07 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2024-01-07_final.stac-item
2024-02-23 12:05:10	ga_s2am_ard_3-2-1_50JKR_2024-02-23_final.stac-item
2024-03-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-17_final.stac-item
2024-04-23 12:05:11	ga_s2am_ard_3-2-1_50JLR_2024-04-23_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