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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPK_2016-01-07_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMG_2016-04-02_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMK_2016-05-29_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLH_2017-02-16_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHS_2017-03-11_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HNK_2017-07-16_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGN_2017-09-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMH_2017-11-20_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLH_2017-12-23_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMJ_2017-12-30_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMJ_2018-02-18_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGM_2018-04-05_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-04-26_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMK_2018-04-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKP_2018-05-05_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKQ_2018-05-25_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGK_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHN_2018-06-24_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-06-27_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-06_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKP_2018-08-10_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHM_2018-08-23_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQK_2018-09-03_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-10-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKQ_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-11-04_final
2018-11-15 11:46:32	ga_s2am_ard_3-2-1_50HNK_2018-11-15_final
2018-11-15 11:46:35	ga_s2am_ard_3-2-1_50HMK_2018-11-15_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final
2019-01-04 11:46:35	ga_s2am_ard_3-2-1_50HMK_2019-01-04_final
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final
2019-04-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-04-01_final
2019-04-04 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-04-04_final.stac-item
2019-04-21 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-04-21_final.stac-item
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final
2019-08-28 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-08-28_final
2019-10-21 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-10-21_final
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2019-12-07 11:37:24	ga_s2am_ard_3-2-1_50HNG_2019-12-07_final.stac-item
2019-12-23 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2019-12-23_final
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-01-19 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2020-01-19_final
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-05-11_final
2020-07-14 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-07-14_final
2020-10-22 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-10-22_final
2020-10-25 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-10-25_final
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final
2020-11-04 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-11-04_final
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final
2020-11-24 11:47:11	ga_s2am_ard_3-2-1_50HMH_2020-11-24_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2020-12-20_final.stac-item
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final
2021-01-19 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-01-19_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-26 11:55:43	ga_s2am_ard_3-2-1_50JKP_2021-04-26_final
2021-04-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2021-04-26_final.stac-item
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-04-29_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-04-29_final
2021-04-30 11:37:18	ga_s2am_ard_3-2-1_50HPG_2021-04-30_final.stac-item
2021-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-05-16_final.stac-item
2021-05-19 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-06-02 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-06-02_final.stac-item
2021-06-05 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-05_final
2021-06-18 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-06-18_final
2021-06-18 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final
2021-07-08 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-08_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-07-22 11:46:37	ga_s2am_ard_3-2-1_50HPK_2021-07-22_final
2021-08-27 12:05:17	ga_s2am_ard_3-2-1_49JGL_2021-08-27_final
2021-08-30 12:13:41	ga_s2am_ard_3-2-1_49KHS_2021-08-30_final.stac-item
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final.stac-item
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2021-09-06 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-09-06_final
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final
2022-03-02 11:57:09	ga_s2am_ard_3-2-1_50HMH_2022-03-02_final
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-03-18 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-03-18_final.stac-item
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMH_2022-04-11_final
2022-08-13 11:37:29	ga_s2am_ard_3-2-1_50HQG_2022-08-13_final.stac-item
2022-09-11 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-09-11_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2023-06-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-11_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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