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
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMG_2016-04-29_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLG_2017-01-07_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HLG_2017-08-12_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HLG_2017-09-21_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HLG_2017-10-11_final.stac-item
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HLG_2018-02-21_final.stac-item
2019-02-13 11:47:23	ga_s2am_ard_3-2-1_50HLG_2019-02-13_final.stac-item
2019-07-13 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-09-14 11:57:21	ga_s2am_ard_3-2-1_50HLG_2019-09-14_final.stac-item
2019-10-31 11:47:22	ga_s2am_ard_3-2-1_50HMG_2019-10-31_final.stac-item
2019-12-30 11:47:21	ga_s2am_ard_3-2-1_50HLG_2019-12-30_final.stac-item
2020-04-08 11:47:20	ga_s2am_ard_3-2-1_50HLG_2020-04-08_final.stac-item
2020-04-14 12:03:17	ga_s2am_ard_3-2-1_50KLC_2020-04-14_final.stac-item
2020-05-08 11:47:27	ga_s2am_ard_3-2-1_50HLG_2020-05-08_final.stac-item
2020-06-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-07 11:47:27	ga_s2am_ard_3-2-1_50HLG_2020-06-07_final.stac-item
2020-07-07 11:47:27	ga_s2am_ard_3-2-1_50HLG_2020-07-07_final.stac-item
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-03-19 11:47:30	ga_s2am_ard_3-2-1_50HLG_2022-03-19_final.stac-item
2022-08-26 11:47:39	ga_s2am_ard_3-2-1_50HLG_2022-08-26_final.stac-item
2023-02-02 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-03-24 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-03-24_final.stac-item
2023-04-16 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-04-16_final.stac-item
2023-04-16 11:57:28	ga_s2am_ard_3-2-1_50HLF_2023-04-16_nrt.stac-item
2023-04-26 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-04-26_final.stac-item
2023-04-26 11:57:28	ga_s2am_ard_3-2-1_50HLF_2023-04-26_nrt.stac-item
2023-05-06 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-05-06_final.stac-item
2023-05-16 11:57:29	ga_s2am_ard_3-2-1_50HLF_2023-05-16_nrt.stac-item
2023-06-15 11:56:00	ga_s2am_ard_3-2-1_50JLN_2023-06-15_final.stac-item
2023-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final.stac-item
2023-06-22 11:47:30	ga_s2am_ard_3-2-1_50HLG_2023-06-22_final.stac-item
2023-06-25 11:55:59	ga_s2am_ard_3-2-1_50JLN_2023-06-25_final.stac-item
2023-06-25 11:57:25	ga_s2am_ard_3-2-1_50HLG_2023-06-25_final.stac-item
2023-07-02 11:47:31	ga_s2am_ard_3-2-1_50HLG_2023-07-02_final.stac-item
2023-07-05 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-05_final.stac-item
2023-07-05 11:57:25	ga_s2am_ard_3-2-1_50HMG_2023-07-05_final.stac-item
2023-07-05 11:57:33	ga_s2am_ard_3-2-1_50HLF_2023-07-05_nrt.stac-item
2023-07-12 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-07-12_final.stac-item
2023-07-15 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-15_final.stac-item
2023-07-15 11:57:25	ga_s2am_ard_3-2-1_50HMG_2023-07-15_final.stac-item
2023-07-15 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-07-15_final.stac-item
2023-07-15 11:57:33	ga_s2am_ard_3-2-1_50HLF_2023-07-15_nrt.stac-item
2023-07-22 11:47:31	ga_s2am_ard_3-2-1_50HLG_2023-07-22_final.stac-item
2023-07-25 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-25_final.stac-item
2023-07-25 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-07-25_final.stac-item
2023-08-04 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-08-04_final.stac-item
2023-08-04 11:57:32	ga_s2am_ard_3-2-1_50HMF_2023-08-04_nrt.stac-item
2023-08-14 11:56:02	ga_s2am_ard_3-2-1_50JLN_2023-08-14_final.stac-item
2023-08-24 11:56:02	ga_s2am_ard_3-2-1_50JLN_2023-08-24_final.stac-item
2023-08-24 11:57:33	ga_s2am_ard_3-2-1_50HMF_2023-08-24_nrt.stac-item
2023-08-31 11:47:32	ga_s2am_ard_3-2-1_50HLG_2023-08-31_final.stac-item
2023-09-03 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-03_final.stac-item
2023-09-03 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-09-03_final.stac-item
2023-09-13 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-13_final.stac-item
2023-09-13 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-09-13_final.stac-item
2023-09-23 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-09-23_final.stac-item
2023-10-03 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-10-03_final.stac-item
2023-10-13 11:55:54	ga_s2am_ard_3-2-1_50JLN_2023-10-13_final.stac-item
2023-10-23 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-10-23_final.stac-item
2023-11-02 11:55:55	ga_s2am_ard_3-2-1_50JLN_2023-11-02_final.stac-item
2023-11-02 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-11-02_final.stac-item
2023-11-12 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-11-12_final.stac-item
2023-11-12 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-11-12_final.stac-item
2023-11-19 11:47:30	ga_s2am_ard_3-2-1_50HLF_2023-11-19_nrt.stac-item
2023-11-22 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-11-22_final.stac-item
2023-11-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-11-22_final.stac-item
2023-11-22 11:57:23	ga_s2am_ard_3-2-1_50HMF_2023-11-22_nrt.stac-item
2023-12-02 11:55:48	ga_s2am_ard_3-2-1_50JLN_2023-12-02_final.stac-item
2023-12-12 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-12-12_final.stac-item
2023-12-22 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-12-22_final.stac-item
2023-12-25 12:03:15	ga_s2am_ard_3-2-1_50KLC_2023-12-25_final.stac-item
2024-01-01 11:55:53	ga_s2am_ard_3-2-1_50JLN_2024-01-01_final.stac-item
2024-01-01 11:57:24	ga_s2am_ard_3-2-1_50HMF_2024-01-01_final.stac-item
2024-01-11 11:55:51	ga_s2am_ard_3-2-1_50JLN_2024-01-11_final.stac-item
2024-01-21 11:55:48	ga_s2am_ard_3-2-1_50JLN_2024-01-21_final.stac-item
2024-01-31 11:55:52	ga_s2am_ard_3-2-1_50JLN_2024-01-31_final.stac-item
2024-01-31 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-31_final.stac-item
2024-02-10 11:55:53	ga_s2am_ard_3-2-1_50JLN_2024-02-10_final.stac-item
2024-02-17 11:47:24	ga_s2am_ard_3-2-1_50HLG_2024-02-17_final.stac-item
2024-02-20 11:55:54	ga_s2am_ard_3-2-1_50JLN_2024-02-20_final.stac-item
2024-02-20 11:57:26	ga_s2am_ard_3-2-1_50HLF_2024-02-20_nrt.stac-item
2024-03-01 11:55:56	ga_s2am_ard_3-2-1_50JLN_2024-03-01_final.stac-item
2024-03-11 11:55:56	ga_s2am_ard_3-2-1_50JLN_2024-03-11_final.stac-item
2024-03-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-11_final.stac-item
2024-03-21 11:55:57	ga_s2am_ard_3-2-1_50JLN_2024-03-21_final.stac-item
2024-03-21 11:57:21	ga_s2am_ard_3-2-1_50HMG_2024-03-21_final.stac-item
2024-03-21 11:57:23	ga_s2am_ard_3-2-1_50HLG_2024-03-21_final.stac-item
2024-03-31 11:55:55	ga_s2am_ard_3-2-1_50JLN_2024-03-31_final.stac-item
2024-03-31 11:57:21	ga_s2am_ard_3-2-1_50HLG_2024-03-31_final.stac-item
2024-04-07 11:47:25	ga_s2am_ard_3-2-1_50HLG_2024-04-07_final.stac-item
2024-04-10 11:55:56	ga_s2am_ard_3-2-1_50JLN_2024-04-10_final.stac-item
2024-04-10 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-04-10_final.stac-item
2024-04-20 11:56:00	ga_s2am_ard_3-2-1_50JLN_2024-04-20_final.stac-item
2024-04-20 11:57:23	ga_s2am_ard_3-2-1_50HMG_2024-04-20_final.stac-item
2024-04-30 11:56:01	ga_s2am_ard_3-2-1_50JLN_2024-04-30_final.stac-item
2024-05-10 11:57:25	ga_s2am_ard_3-2-1_50HLG_2024-05-10_final.stac-item
2024-05-17 11:47:29	ga_s2am_ard_3-2-1_50HLG_2024-05-17_nrt.stac-item
2024-05-20 11:57:21	ga_s2am_ard_3-2-1_50HMG_2024-05-20_nrt.stac-item
2024-05-20 11:57:28	ga_s2am_ard_3-2-1_50HMF_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

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