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
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHN_2016-04-15_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKT_2016-07-14_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JMT_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JNR_2016-08-10_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKT_2016-08-23_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JMT_2016-08-30_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JKT_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHP_2016-12-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JKT_2016-12-01_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKT_2017-04-20_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JLT_2017-04-20_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JMT_2017-06-06_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JLT_2017-06-19_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKT_2017-08-18_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JMQ_2018-03-13_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKT_2018-05-05_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JNL_2018-06-18_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLT_2018-08-13_final
2018-11-28 11:55:01	ga_s2am_ard_3-2-1_50JMR_2018-11-28_final
2019-02-19 12:04:39	ga_s2am_ard_3-2-1_49JHN_2019-02-19_final
2019-02-26 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2019-02-26_final
2019-03-18 11:55:07	ga_s2am_ard_3-2-1_50JMR_2019-03-18_final
2019-04-17 11:55:12	ga_s2am_ard_3-2-1_50JMR_2019-04-17_final
2019-04-27 11:55:13	ga_s2am_ard_3-2-1_50JMR_2019-04-27_final
2019-04-27 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-04-27_final
2019-05-07 11:55:13	ga_s2am_ard_3-2-1_50JMR_2019-05-07_final
2019-05-10 12:04:43	ga_s2am_ard_3-2-1_50JLT_2019-05-10_final
2019-08-05 11:54:45	ga_s2am_ard_3-2-1_50JMT_2019-08-05_final
2019-08-28 12:04:40	ga_s2am_ard_3-2-1_50JLT_2019-08-28_final
2019-08-28 12:04:44	ga_s2am_ard_3-2-1_50JKT_2019-08-28_final
2019-09-04 11:55:09	ga_s2am_ard_3-2-1_50JMR_2019-09-04_final
2019-09-07 12:04:38	ga_s2am_ard_3-2-1_50JLT_2019-09-07_final
2019-11-03 11:55:13	ga_s2am_ard_3-2-1_50JMR_2019-11-03_final
2019-12-13 11:55:05	ga_s2am_ard_3-2-1_50JMR_2019-12-13_final
2020-05-11 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2020-05-11_final
2020-05-14 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-05-14_final
2020-05-21 11:55:12	ga_s2am_ard_3-2-1_50JNR_2020-05-21_final
2020-07-20 11:55:11	ga_s2am_ard_3-2-1_50JNR_2020-07-20_final
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-07-23_final
2020-07-30 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-07-30_final
2020-11-07 11:55:14	ga_s2am_ard_3-2-1_50JMR_2020-11-07_final
2020-12-17 11:55:07	ga_s2am_ard_3-2-1_50JMR_2020-12-17_final
2021-02-25 11:55:09	ga_s2am_ard_3-2-1_50JMR_2021-02-25_final
2021-03-07 11:55:09	ga_s2am_ard_3-2-1_50JMR_2021-03-07_final
2021-04-16 11:55:03	ga_s2am_ard_3-2-1_50JMR_2021-04-16_final
2021-04-26 11:55:06	ga_s2am_ard_3-2-1_50JMR_2021-04-26_final
2021-04-26 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2021-04-26_final
2021-05-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-05-09_final
2021-05-19 12:04:39	ga_s2am_ard_3-2-1_50JLT_2021-05-19_final
2021-06-05 11:55:10	ga_s2am_ard_3-2-1_50JMR_2021-06-05_final
2021-06-05 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-06-05_final
2021-06-18 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-06-18_final
2021-06-25 11:55:11	ga_s2am_ard_3-2-1_50JMR_2021-06-25_final
2021-06-25 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-06-25_final
2021-07-25 11:55:13	ga_s2am_ard_3-2-1_50JMR_2021-07-25_final
2021-07-25 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2021-07-25_final
2021-08-04 11:54:43	ga_s2am_ard_3-2-1_50JMT_2021-08-04_final
2021-08-04 11:55:13	ga_s2am_ard_3-2-1_50JMR_2021-08-04_final
2021-08-04 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2021-08-04_final
2021-08-14 11:55:12	ga_s2am_ard_3-2-1_50JMR_2021-08-14_final
2021-08-14 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2021-08-14_final
2021-09-13 11:55:10	ga_s2am_ard_3-2-1_50JMR_2021-09-13_final
2021-09-13 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-09-13_final
2021-10-23 11:55:15	ga_s2am_ard_3-2-1_50JMR_2021-10-23_final
2021-11-02 11:55:14	ga_s2am_ard_3-2-1_50JMR_2021-11-02_final
2021-11-12 11:55:12	ga_s2am_ard_3-2-1_50JMR_2021-11-12_final
2022-01-24 12:04:42	ga_s2am_ard_3-2-1_49JHN_2022-01-24_final
2022-02-03 12:04:42	ga_s2am_ard_3-2-1_50JKT_2022-02-03_final
2022-02-20 11:55:11	ga_s2am_ard_3-2-1_50JMR_2022-02-20_final
2022-06-03 12:04:47	ga_s2am_ard_3-2-1_50JLT_2022-06-03_final
2022-06-30 11:54:53	ga_s2am_ard_3-2-1_50JMT_2022-06-30_final
2022-10-08 11:55:16	ga_s2am_ard_3-2-1_50JMR_2022-10-08_final.stac-item
2022-10-08 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2022-10-08_final.stac-item
2022-10-21 12:04:41	ga_s2am_ard_3-2-1_50JLT_2022-10-21_final.stac-item
2022-10-28 11:55:13	ga_s2am_ard_3-2-1_50JMR_2022-10-28_final.stac-item
2022-10-28 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2022-10-28_final.stac-item
2022-11-27 11:55:09	ga_s2am_ard_3-2-1_50JMR_2022-11-27_final.stac-item
2022-12-07 11:55:10	ga_s2am_ard_3-2-1_50JMR_2022-12-07_final.stac-item
2022-12-10 12:04:43	ga_s2am_ard_3-2-1_49JHN_2022-12-10_final.stac-item
2022-12-10 12:04:43	ga_s2am_ard_3-2-1_50JKT_2022-12-10_final.stac-item
2023-02-05 11:55:08	ga_s2am_ard_3-2-1_50JMR_2023-02-05_final.stac-item
2023-02-18 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-02-18_final.stac-item
2023-02-18 12:06:09	ga_s2am_ard_3-2-1_49JGG_2023-02-18_nrt.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-05-29 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-05-29_final.stac-item
2023-06-25 11:54:43	ga_s2am_ard_3-2-1_50JMT_2023-06-25_final.stac-item
2023-06-25 11:55:13	ga_s2am_ard_3-2-1_50JMR_2023-06-25_final.stac-item
2023-07-01 12:14:35	ga_s2am_ard_3-2-1_49KFP_2023-07-01_nrt.stac-item
2023-07-15 11:55:14	ga_s2am_ard_3-2-1_50JMR_2023-07-15_final.stac-item
2023-07-15 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-07-15_final.stac-item
2023-07-18 12:04:44	ga_s2am_ard_3-2-1_50JLT_2023-07-18_final.stac-item
2023-07-28 12:04:44	ga_s2am_ard_3-2-1_50JLT_2023-07-28_final.stac-item
2023-08-04 11:55:15	ga_s2am_ard_3-2-1_50JMR_2023-08-04_final.stac-item
2023-08-04 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-08-04_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 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2023-08-24_final.stac-item
2023-10-03 11:55:11	ga_s2am_ard_3-2-1_50JMR_2023-10-03_final.stac-item
2023-10-23 11:55:10	ga_s2am_ard_3-2-1_50JMR_2023-10-23_final.stac-item
2023-12-15 12:04:38	ga_s2am_ard_3-2-1_49JHN_2023-12-15_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