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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JLQ_2015-11-27_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLR_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLG_2015-12-21_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_50JKT_2015-12-27_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHN_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLR_2016-02-05_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_49KHQ_2016-03-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNG_2016-04-29_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-06-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JLS_2016-07-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLT_2016-08-13_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLS_2016-08-30_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-09-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLR_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLR_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HLG_2016-11-15_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLG_2016-12-25_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLG_2017-01-14_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HLG_2017-03-05_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JLS_2017-04-20_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JKT_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLQ_2017-04-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JLR_2017-06-19_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JLS_2017-06-26_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKQ_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLQ_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLR_2017-06-29_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JLS_2017-06-29_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLR_2017-07-09_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLS_2017-07-16_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLS_2017-08-05_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50HQK_2017-09-18_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLG_2018-03-13_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JLR_2018-05-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLG_2018-05-19_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLS_2018-06-14_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLS_2018-07-11_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLS_2018-07-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLS_2018-07-31_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLS_2018-08-20_final
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2018-11-15 11:47:22	ga_s2am_ard_3-2-1_50HLG_2018-11-15_final.stac-item
2019-01-03 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-01-03_final.stac-item
2019-01-07 11:54:39	ga_s2am_ard_3-2-1_50JLT_2019-01-07_final
2019-03-15 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-03-15_final.stac-item
2019-03-18 11:55:10	ga_s2am_ard_3-2-1_50JLR_2019-03-18_final
2019-04-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2019-04-07_final
2019-05-17 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-05-17_final
2019-06-16 11:55:01	ga_s2am_ard_3-2-1_50JLS_2019-06-16_final
2019-06-16 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-06-16_final
2019-07-22 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-22_final
2019-07-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2019-07-29_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-10-21 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-21_final.stac-item
2019-11-30 11:47:27	ga_s2am_ard_3-2-1_50HLG_2019-11-30_final.stac-item
2019-12-23 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-12-23_final.stac-item
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-05-01 11:54:47	ga_s2am_ard_3-2-1_50JLT_2020-05-01_final
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2021-02-02 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-02-02_final.stac-item
2021-03-04 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-04_final.stac-item
2021-03-14 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-14_final.stac-item
2021-06-25 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-06-25_final
2021-08-24 11:54:46	ga_s2am_ard_3-2-1_50JLT_2021-08-24_final
2021-09-13 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-09-13_final
2021-09-23 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2021-09-23_final
2021-12-16 11:37:12	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2022-03-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2022-03-05_final
2022-05-01 11:55:03	ga_s2am_ard_3-2-1_50JLS_2022-05-01_final
2022-05-01 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-05-01_final.stac-item
2022-05-04 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-05-04_final
2022-05-05 11:37:31	ga_s2am_ard_3-2-1_50HNG_2022-05-05_final.stac-item
2022-06-07 11:47:35	ga_s2am_ard_3-2-1_50HLG_2022-06-07_final.stac-item
2023-01-23 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-01-23_final.stac-item
2023-02-05 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-02-05_final.stac-item
2023-03-07 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-03-07_final.stac-item
2023-05-26 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2023-05-26_final.stac-item
2023-06-15 11:55:02	ga_s2am_ard_3-2-1_50JLS_2023-06-15_final.stac-item
2023-06-28 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-06-28_final.stac-item
2023-07-02 11:47:31	ga_s2am_ard_3-2-1_50HLG_2023-07-02_final.stac-item
2023-07-08 12:04:59	ga_s2am_ard_3-2-1_50JLS_2023-07-08_final.stac-item
2023-07-15 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-07-15_final.stac-item
2023-08-07 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-08-07_final.stac-item
2023-08-21 11:46:59	ga_s2am_ard_3-2-1_50HQH_2023-08-21_final.stac-item
2023-11-02 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-11-02_final.stac-item
2023-11-12 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-11-12_nrt.stac-item
2024-02-23 12:04:43	ga_s2am_ard_3-2-1_50JLS_2024-02-23_final.stac-item
2024-02-27 11:47:26	ga_s2am_ard_3-2-1_50HLG_2024-02-27_final.stac-item
2024-03-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2024-03-08_final.stac-item
2024-04-04 11:36:23	ga_s2am_ard_3-2-1_50HQK_2024-04-04_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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