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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMR_2015-10-28_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMQ_2015-12-04_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLR_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JMR_2016-02-05_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JMS_2016-06-24_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-08-13_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JMS_2016-08-30_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMS_2016-09-02_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-05_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JMR_2016-12-31_final
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
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JMS_2017-03-31_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLS_2017-06-06_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JMR_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_50JLR_2017-06-29_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMS_2017-09-14_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JMS_2018-03-16_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JMS_2018-04-05_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMR_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMR_2018-06-01_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
2018-07-31 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
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JMR_2018-10-29_final
2018-11-28 11:55:01	ga_s2am_ard_3-2-1_50JMR_2018-11-28_final
2018-12-11 12:04:50	ga_s2am_ard_3-2-1_50JMR_2018-12-11_final
2019-03-28 11:54:44	ga_s2am_ard_3-2-1_50JLT_2019-03-28_final
2019-03-31 12:04:49	ga_s2am_ard_3-2-1_50JMS_2019-03-31_final
2019-04-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2019-04-07_final
2019-05-07 11:54:59	ga_s2am_ard_3-2-1_50JMS_2019-05-07_final
2019-05-07 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2019-05-07_final
2019-05-17 11:54:58	ga_s2am_ard_3-2-1_50JMS_2019-05-17_final
2019-06-16 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-06-16_final
2019-07-16 11:55:03	ga_s2am_ard_3-2-1_50JLS_2019-07-16_final
2019-07-19 12:04:54	ga_s2am_ard_3-2-1_50JMS_2019-07-19_final
2019-07-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-07-29_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
2019-09-04 11:54:44	ga_s2am_ard_3-2-1_50JLT_2019-09-04_final
2019-09-17 12:04:48	ga_s2am_ard_3-2-1_50JMS_2019-09-17_final
2019-09-17 12:04:58	ga_s2am_ard_3-2-1_50JMR_2019-09-17_final
2019-09-27 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-09-27_final
2019-11-16 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-11-16_final
2019-11-23 11:55:10	ga_s2am_ard_3-2-1_50JMR_2019-11-23_final
2020-04-21 11:55:10	ga_s2am_ard_3-2-1_50JMR_2020-04-21_final
2020-05-31 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-05-31_final
2020-06-20 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-06-20_final
2020-07-03 12:04:53	ga_s2am_ard_3-2-1_50JMS_2020-07-03_final
2020-07-03 12:05:03	ga_s2am_ard_3-2-1_50JMR_2020-07-03_final
2020-07-20 11:55:15	ga_s2am_ard_3-2-1_50JMR_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
2020-08-02 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-08-02_final
2020-09-08 11:54:48	ga_s2am_ard_3-2-1_50JLT_2020-09-08_final
2021-07-08 12:05:01	ga_s2am_ard_3-2-1_50JMR_2021-07-08_final
2021-08-27 12:04:37	ga_s2am_ard_3-2-1_50JMT_2021-08-27_final
2021-09-23 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2021-09-23_final
2021-12-02 11:54:40	ga_s2am_ard_3-2-1_50JMT_2021-12-02_final
2021-12-12 11:54:39	ga_s2am_ard_3-2-1_50JMT_2021-12-12_final
2021-12-16 11:37:12	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2022-01-01 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-01-01_final
2022-06-13 12:04:59	ga_s2am_ard_3-2-1_50JMS_2022-06-13_final
2022-06-20 11:54:52	ga_s2am_ard_3-2-1_50JMT_2022-06-20_final
2022-06-30 11:55:11	ga_s2am_ard_3-2-1_50JLS_2022-06-30_final
2022-09-11 12:04:59	ga_s2am_ard_3-2-1_50JMS_2022-09-11_final.stac-item
2022-10-21 12:04:59	ga_s2am_ard_3-2-1_50JLR_2022-10-21_final.stac-item
2022-10-21 12:05:00	ga_s2am_ard_3-2-1_50JMR_2022-10-21_final.stac-item
2022-11-20 12:05:00	ga_s2am_ard_3-2-1_50JMR_2022-11-20_final.stac-item
2022-12-17 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-12-17_final.stac-item
2022-12-30 12:04:57	ga_s2am_ard_3-2-1_50JMR_2022-12-30_final.stac-item
2023-01-09 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-01-09_final.stac-item
2023-01-29 12:04:56	ga_s2am_ard_3-2-1_50JMR_2023-01-29_final.stac-item
2023-02-05 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-02-05_final.stac-item
2023-02-15 11:55:07	ga_s2am_ard_3-2-1_50JMR_2023-02-15_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-02-25 11:55:07	ga_s2am_ard_3-2-1_50JMR_2023-02-25_final.stac-item
2023-03-07 11:55:05	ga_s2am_ard_3-2-1_50JMR_2023-03-07_final.stac-item
2023-03-27 11:54:42	ga_s2am_ard_3-2-1_50JLT_2023-03-27_final.stac-item
2023-05-19 12:05:00	ga_s2am_ard_3-2-1_50JMR_2023-05-19_final.stac-item
2023-06-15 11:54:45	ga_s2am_ard_3-2-1_50JMT_2023-06-15_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 12:04:54	ga_s2am_ard_3-2-1_50JMS_2023-06-28_final.stac-item
2023-07-28 12:04:54	ga_s2am_ard_3-2-1_50JMS_2023-07-28_final.stac-item
2023-08-14 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2023-08-14_final.stac-item
2023-08-17 12:05:04	ga_s2am_ard_3-2-1_50JMR_2023-08-17_final.stac-item
2023-09-16 12:04:52	ga_s2am_ard_3-2-1_50JMS_2023-09-16_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
2024-03-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2024-03-08_final.stac-item
2024-03-21 11:55:11	ga_s2am_ard_3-2-1_50JMR_2024-03-21_final.stac-item
2024-04-13 12:05:00	ga_s2am_ard_3-2-1_50JMR_2024-04-13_final.stac-item
2024-05-10 11:54:47	ga_s2am_ard_3-2-1_50JLT_2024-05-10_final.stac-item
2024-05-20 11:54:56	ga_s2am_ard_3-2-1_50JMS_2024-05-20_nrt.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