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
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JKP_2016-04-02_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_49KHR_2016-05-25_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-22_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNK_2016-10-26_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMH_2016-11-15_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-04-10_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JKT_2017-04-10_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHS_2017-09-10_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JKR_2017-09-17_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPG_2018-02-15_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-03-09_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-04-25_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKR_2018-04-25_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HNG_2018-04-26_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMG_2018-05-22_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLM_2018-05-22_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49KGP_2018-05-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKR_2018-05-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLN_2018-05-25_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHQ_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-04_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKP_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQJ_2018-07-05_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMG_2018-07-11_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-07-14_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HNK_2018-07-18_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPK_2018-07-25_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JKP_2018-07-31_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKN_2018-08-10_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-09-06_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLM_2018-10-09_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMK_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-10-22_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2018-12-21 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-21_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final
2018-12-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-12-25_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-01-03 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-01-03_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final
2019-02-26 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-02-26_final
2019-03-08 11:56:34	ga_s2am_ard_3-2-1_50HLK_2019-03-08_final
2019-07-29 12:06:14	ga_s2am_ard_3-2-1_50JKM_2019-07-29_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-19 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-01-19_final
2020-02-01 11:57:15	ga_s2am_ard_3-2-1_50HLG_2020-02-01_final.stac-item
2020-03-19 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-03-19_final
2020-07-10 11:57:24	ga_s2am_ard_3-2-1_50HMG_2020-07-10_final.stac-item
2020-08-25 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-08-25_final.stac-item
2020-11-24 11:47:18	ga_s2am_ard_3-2-1_50HPG_2020-11-24_final.stac-item
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-03-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-03-10_final
2021-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2021-03-21_final.stac-item
2021-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-03-21_final.stac-item
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-03-23_final.stac-item
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final
2021-03-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-03-30_final
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-16 11:57:17	ga_s2am_ard_3-2-1_50HLG_2021-04-16_final.stac-item
2021-04-23 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2021-04-23_final
2021-04-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2021-04-23_final
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final
2021-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-05-10_final
2021-06-18 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-06-18_final
2021-06-25 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-06-25_final
2021-07-01 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-07-01_final
2021-07-01 12:15:14	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final
2021-07-08 12:05:00	ga_s2am_ard_3-2-1_50JKS_2021-07-08_final
2021-08-11 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-11_final.stac-item
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-08-27 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-08-27_final
2022-05-24 12:03:51	ga_s2am_ard_3-2-1_49KHS_2022-05-24_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

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