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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HLG_2015-10-22_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMQ_2015-12-04_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JHN_2015-12-27_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JMQ_2016-02-02_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLR_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMQ_2016-03-03_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50HLK_2016-05-02_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-06-14_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-06-14_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JLS_2016-08-10_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-05_final.stac-item
2016-12-02 11:36:01	ga_s2am_ard_3-2-1_50HQK_2016-12-02_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JHN_2017-02-02_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JMQ_2017-03-18_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMQ_2017-04-07_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HLG_2017-04-14_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLG_2017-04-27_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLS_2017-06-06_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JLR_2017-06-19_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
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JHN_2017-10-27_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLG_2018-04-29_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JMQ_2018-05-12_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
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JMQ_2018-07-21_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLS_2018-07-31_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JMQ_2018-07-31_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLT_2018-08-10_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMQ_2018-09-29_final
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2019-01-07 11:54:39	ga_s2am_ard_3-2-1_50JLT_2019-01-07_final
2019-01-27 11:54:41	ga_s2am_ard_3-2-1_50JLT_2019-01-27_final
2019-02-16 11:54:37	ga_s2am_ard_3-2-1_50JLT_2019-02-16_final
2019-03-18 11:54:41	ga_s2am_ard_3-2-1_50JLT_2019-03-18_final
2019-05-07 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2019-05-07_final
2019-05-20 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-05-20_final
2019-05-30 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-05-30_final
2019-06-06 11:54:46	ga_s2am_ard_3-2-1_50JLT_2019-06-06_final
2019-06-06 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2019-06-06_final
2019-06-06 11:55:47	ga_s2am_ard_3-2-1_50JMN_2019-06-06_final
2019-06-16 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-06-16_final
2019-06-19 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-06-19_final
2019-06-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-06-29_final
2019-07-13 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-07-13_final.stac-item
2019-07-16 11:55:03	ga_s2am_ard_3-2-1_50JLS_2019-07-16_final
2019-07-22 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-22_final
2019-07-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-07-29_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-08-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-08-28_final
2019-11-23 11:55:10	ga_s2am_ard_3-2-1_50JMR_2019-11-23_final
2019-12-06 12:04:56	ga_s2am_ard_3-2-1_50JMR_2019-12-06_final
2020-01-25 12:04:52	ga_s2am_ard_3-2-1_50JMR_2020-01-25_final
2020-03-02 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2020-03-02_final
2020-04-11 11:54:43	ga_s2am_ard_3-2-1_50JLT_2020-04-11_final
2020-04-21 11:55:10	ga_s2am_ard_3-2-1_50JMR_2020-04-21_final
2020-05-11 11:55:14	ga_s2am_ard_3-2-1_50JMR_2020-05-11_final
2020-05-31 11:55:16	ga_s2am_ard_3-2-1_50JMR_2020-05-31_final
2020-05-31 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-05-31_final
2020-06-10 11:54:51	ga_s2am_ard_3-2-1_50JLT_2020-06-10_final
2020-06-20 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-06-20_final
2020-07-20 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2020-07-20_final
2020-07-23 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-07-23_final
2020-07-30 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-07-30_final
2020-09-08 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2020-09-08_final
2021-01-06 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-01-06_final
2021-04-29 12:04:56	ga_s2am_ard_3-2-1_50JMR_2021-04-29_final
2021-10-13 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2021-10-13_final
2021-10-23 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2021-10-23_final
2021-11-02 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2021-11-02_final
2022-03-05 12:05:02	ga_s2am_ard_3-2-1_50JMR_2022-03-05_final
2022-03-15 12:05:02	ga_s2am_ard_3-2-1_50JMR_2022-03-15_final
2022-04-11 11:54:46	ga_s2am_ard_3-2-1_50JLT_2022-04-11_final
2022-04-11 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-04-11_final.stac-item
2022-05-04 12:05:03	ga_s2am_ard_3-2-1_50JMR_2022-05-04_final
2022-06-30 11:54:57	ga_s2am_ard_3-2-1_50JLT_2022-06-30_final
2022-06-30 11:55:11	ga_s2am_ard_3-2-1_50JLS_2022-06-30_final
2022-12-17 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-12-17_final.stac-item
2023-01-16 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-01-16_final.stac-item
2023-02-05 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-02-05_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-02-18_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-03-17 11:55:07	ga_s2am_ard_3-2-1_50JMR_2023-03-17_final.stac-item
2023-04-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2023-04-09_final.stac-item
2023-06-28 12:04:51	ga_s2am_ard_3-2-1_50JLS_2023-06-28_final.stac-item
2023-06-28 12:05:02	ga_s2am_ard_3-2-1_50JMR_2023-06-28_final.stac-item
2023-07-25 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-07-25_final.stac-item
2023-08-14 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-08-14_final.stac-item
2023-08-24 11:54:50	ga_s2am_ard_3-2-1_50JLT_2023-08-24_final.stac-item
2023-08-24 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2023-08-24_final.stac-item
2023-09-23 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-09-23_final.stac-item
2023-10-03 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-10-03_final.stac-item
2023-10-23 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2023-10-23_final.stac-item
2023-11-12 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-11-12_nrt.stac-item
2024-04-04 11:36:23	ga_s2am_ard_3-2-1_50HQK_2024-04-04_final.stac-item
2024-04-20 11:54:48	ga_s2am_ard_3-2-1_50JLT_2024-04-20_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