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
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_53HMB_2018-01-18_final.stac-item
2018-02-17 10:27:04	ga_s2am_ard_3-2-1_53HMB_2018-02-17_final.stac-item
2018-03-09 10:35:43	ga_s2am_ard_3-2-1_53HMB_2018-03-09_final.stac-item
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53HMB_2018-03-29_final.stac-item
2018-03-29 10:36:48	ga_s2am_ard_3-2-1_53HMB_2018-03-29_final.stac-item
2018-04-18 10:34:18	ga_s2am_ard_3-2-1_53HMB_2018-04-18_final.stac-item
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53HMB_2018-04-28_final.stac-item
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53HMB_2018-05-28_final.stac-item
2018-06-17 10:27:07	ga_s2am_ard_3-2-1_53HMB_2018-06-17_final.stac-item
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53HMB_2018-07-17_final.stac-item
2018-08-06 10:27:08	ga_s2am_ard_3-2-1_53HMB_2018-08-06_final.stac-item
2018-08-16 10:30:15	ga_s2am_ard_3-2-1_53HMC_2018-08-16_final.stac-item
2018-08-26 10:27:07	ga_s2am_ard_3-2-1_53HMB_2018-08-26_final.stac-item
2018-09-15 10:27:04	ga_s2am_ard_3-2-1_53HMB_2018-09-15_final.stac-item
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53HMB_2018-10-15_final.stac-item
2018-12-24 10:36:46	ga_s2am_ard_3-2-1_53HMB_2018-12-24_final.stac-item
2019-02-02 10:36:51	ga_s2am_ard_3-2-1_53HMB_2019-02-02_final.stac-item
2019-02-22 10:36:29	ga_s2am_ard_3-2-1_53HMC_2019-02-22_final.stac-item
2019-03-20 10:51:08	ga_s2am_ard_3-2-1_53LME_2019-03-20_final
2019-03-24 10:36:52	ga_s2am_ard_3-2-1_53HMB_2019-03-24_final.stac-item
2019-03-30 10:51:10	ga_s2am_ard_3-2-1_53LME_2019-03-30_final
2019-04-03 10:36:54	ga_s2am_ard_3-2-1_53HMB_2019-04-03_final.stac-item
2019-04-09 10:51:12	ga_s2am_ard_3-2-1_53LME_2019-04-09_final
2019-04-19 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-04-19_final
2019-04-29 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-04-29_final
2019-05-09 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-05-09_final
2019-05-19 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-05-19_final
2019-05-29 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-05-29_final
2019-06-08 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-06-08_final
2019-06-18 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-06-18_final
2019-06-28 10:51:15	ga_s2am_ard_3-2-1_53LME_2019-06-28_final
2019-07-08 10:51:16	ga_s2am_ard_3-2-1_53LME_2019-07-08_final
2019-07-18 10:51:16	ga_s2am_ard_3-2-1_53LME_2019-07-18_final
2019-07-28 10:51:15	ga_s2am_ard_3-2-1_53LME_2019-07-28_final
2019-08-01 10:36:58	ga_s2am_ard_3-2-1_53HMB_2019-08-01_final.stac-item
2019-08-07 10:51:15	ga_s2am_ard_3-2-1_53LME_2019-08-07_final
2019-08-17 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-08-17_final
2019-08-27 10:51:12	ga_s2am_ard_3-2-1_53LME_2019-08-27_final
2019-09-06 10:51:10	ga_s2am_ard_3-2-1_53LME_2019-09-06_final
2019-09-16 10:51:10	ga_s2am_ard_3-2-1_53LME_2019-09-16_final
2019-09-26 10:51:11	ga_s2am_ard_3-2-1_53LME_2019-09-26_final
2019-09-30 10:36:55	ga_s2am_ard_3-2-1_53HMB_2019-09-30_final.stac-item
2019-10-06 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-10-06_final
2019-10-16 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-10-16_final
2019-10-26 10:51:14	ga_s2am_ard_3-2-1_53LME_2019-10-26_final
2019-11-05 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-11-05_final
2019-11-15 10:51:12	ga_s2am_ard_3-2-1_53LME_2019-11-15_final
2019-11-25 10:51:11	ga_s2am_ard_3-2-1_53LME_2019-11-25_final
2019-12-05 10:51:08	ga_s2am_ard_3-2-1_53LME_2019-12-05_final
2019-12-15 10:51:06	ga_s2am_ard_3-2-1_53LME_2019-12-15_final
2019-12-25 10:51:05	ga_s2am_ard_3-2-1_53LME_2019-12-25_final
2020-01-04 10:51:05	ga_s2am_ard_3-2-1_53LME_2020-01-04_final
2020-01-14 10:51:05	ga_s2am_ard_3-2-1_53LME_2020-01-14_final
2020-01-24 10:51:04	ga_s2am_ard_3-2-1_53LME_2020-01-24_final
2020-02-03 10:51:03	ga_s2am_ard_3-2-1_53LME_2020-02-03_final
2020-02-13 10:51:04	ga_s2am_ard_3-2-1_53LME_2020-02-13_final
2020-02-23 10:51:05	ga_s2am_ard_3-2-1_53LME_2020-02-23_final
2020-03-04 10:51:06	ga_s2am_ard_3-2-1_53LME_2020-03-04_final
2020-03-14 10:51:07	ga_s2am_ard_3-2-1_53LME_2020-03-14_final
2020-03-24 10:51:07	ga_s2am_ard_3-2-1_53LME_2020-03-24_final
2020-04-03 10:51:06	ga_s2am_ard_3-2-1_53LME_2020-04-03_final
2020-04-13 10:51:09	ga_s2am_ard_3-2-1_53LME_2020-04-13_final
2020-04-23 10:51:12	ga_s2am_ard_3-2-1_53LME_2020-04-23_final
2022-01-17 10:36:29	ga_s2am_ard_3-2-1_53HMC_2022-01-17_final.stac-item
2022-11-16 10:44:23	ga_s2am_ard_3-2-1_53JMM_2022-11-16_final.stac-item
2023-05-08 10:51:10	ga_s2am_ard_3-2-1_53LME_2023-05-08_final.stac-item
2023-07-07 10:51:09	ga_s2am_ard_3-2-1_53LME_2023-07-07_final.stac-item
2023-07-17 10:51:11	ga_s2am_ard_3-2-1_53LME_2023-07-17_final.stac-item
2023-12-08 10:36:48	ga_s2am_ard_3-2-1_53HMB_2023-12-08_final.stac-item
2023-12-18 10:36:46	ga_s2am_ard_3-2-1_53HNB_2023-12-18_final.stac-item
2023-12-18 10:36:50	ga_s2am_ard_3-2-1_53HMB_2023-12-18_final.stac-item
2023-12-28 10:36:47	ga_s2am_ard_3-2-1_53HNB_2023-12-28_final.stac-item
2023-12-28 10:36:51	ga_s2am_ard_3-2-1_53HMB_2023-12-28_final.stac-item
2024-01-07 10:36:46	ga_s2am_ard_3-2-1_53HNB_2024-01-07_final.stac-item
2024-01-07 10:36:50	ga_s2am_ard_3-2-1_53HMB_2024-01-07_final.stac-item
2024-01-17 10:36:42	ga_s2am_ard_3-2-1_53HNB_2024-01-17_final.stac-item
2024-01-17 10:36:46	ga_s2am_ard_3-2-1_53HMB_2024-01-17_final.stac-item
2024-01-27 10:36:45	ga_s2am_ard_3-2-1_53HNB_2024-01-27_final.stac-item
2024-01-27 10:36:48	ga_s2am_ard_3-2-1_53HMB_2024-01-27_final.stac-item
2024-02-06 10:36:46	ga_s2am_ard_3-2-1_53HNB_2024-02-06_final.stac-item
2024-02-06 10:36:50	ga_s2am_ard_3-2-1_53HMB_2024-02-06_final.stac-item
2024-02-16 10:36:48	ga_s2am_ard_3-2-1_53HNB_2024-02-16_final.stac-item
2024-02-16 10:36:52	ga_s2am_ard_3-2-1_53HMB_2024-02-16_final.stac-item
2024-02-26 10:36:49	ga_s2am_ard_3-2-1_53HNB_2024-02-26_final.stac-item
2024-02-26 10:36:53	ga_s2am_ard_3-2-1_53HMB_2024-02-26_final.stac-item
2024-03-07 10:36:51	ga_s2am_ard_3-2-1_53HNB_2024-03-07_final.stac-item
2024-03-07 10:36:54	ga_s2am_ard_3-2-1_53HMB_2024-03-07_final.stac-item
2024-03-17 10:36:50	ga_s2am_ard_3-2-1_53HNB_2024-03-17_final.stac-item
2024-03-17 10:36:54	ga_s2am_ard_3-2-1_53HMB_2024-03-17_final.stac-item
2024-03-27 10:36:51	ga_s2am_ard_3-2-1_53HNB_2024-03-27_final.stac-item
2024-03-27 10:36:54	ga_s2am_ard_3-2-1_53HMB_2024-03-27_final.stac-item
2024-04-06 10:36:48	ga_s2am_ard_3-2-1_53HNB_2024-04-06_final.stac-item
2024-04-06 10:36:52	ga_s2am_ard_3-2-1_53HMB_2024-04-06_final.stac-item
2024-04-16 10:36:53	ga_s2am_ard_3-2-1_53HNB_2024-04-16_final.stac-item
2024-04-16 10:36:56	ga_s2am_ard_3-2-1_53HMB_2024-04-16_final.stac-item
2024-04-26 10:36:52	ga_s2am_ard_3-2-1_53HNB_2024-04-26_final.stac-item
2024-04-26 10:36:56	ga_s2am_ard_3-2-1_53HMB_2024-04-26_final.stac-item
2024-05-06 10:36:53	ga_s2am_ard_3-2-1_53HNB_2024-05-06_final.stac-item
2024-05-06 10:36:56	ga_s2am_ard_3-2-1_53HMB_2024-05-06_final.stac-item
2024-05-16 10:36:53	ga_s2am_ard_3-2-1_53HNB_2024-05-16_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

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