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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKP_2015-10-08_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HLK_2016-02-12_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKP_2016-02-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-04-25_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLK_2016-05-22_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-07-07_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGL_2016-08-23_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HQJ_2016-09-26_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HPJ_2016-10-16_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HQK_2016-10-16_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPG_2016-11-15_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HPH_2016-12-05_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HPG_2017-07-30_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHR_2018-01-05_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLJ_2018-03-23_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPH_2018-04-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNH_2018-05-09_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNK_2018-05-29_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-24_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HNK_2018-09-26_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPK_2018-09-26_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-10-22_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQG_2018-11-02_final.stac-item
2018-12-05 11:46:58	ga_s2am_ard_3-2-1_50HNH_2018-12-05_final
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2019-01-21 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2019-01-21_final
2019-02-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-16_final
2019-02-26 11:55:55	ga_s2am_ard_3-2-1_50JKN_2019-02-26_final
2019-03-31 12:05:41	ga_s2am_ard_3-2-1_50JKP_2019-03-31_final
2019-04-03 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-04-03_final
2019-05-07 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-05-07_final
2019-05-30 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-05-30_final
2019-06-13 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-06-13_final
2019-06-19 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-19_final
2019-08-22 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-08-22_final.stac-item
2019-08-29 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2019-08-29_final
2019-09-21 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-21_final
2019-11-09 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-11-09_final
2019-11-10 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-11-10_final
2019-12-17 11:37:15	ga_s2am_ard_3-2-1_50HPG_2019-12-17_final.stac-item
2019-12-23 11:56:34	ga_s2am_ard_3-2-1_50HLK_2019-12-23_final
2020-01-28 12:13:51	ga_s2am_ard_3-2-1_49KGR_2020-01-28_final
2020-02-08 11:46:26	ga_s2am_ard_3-2-1_50HPK_2020-02-08_final
2020-03-02 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-03-02_final
2020-04-11 11:55:45	ga_s2am_ard_3-2-1_50JKP_2020-04-11_final
2020-05-21 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-05-21_final
2020-05-27 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-05-27_final
2020-07-13 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-07-13_final
2020-09-08 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-09-08_final
2020-10-01 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-01_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-11_final
2020-10-28 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-28_final
2020-11-10 12:06:08	ga_s2am_ard_3-2-1_50JLM_2020-11-10_final
2020-12-07 11:55:10	ga_s2am_ard_3-2-1_50JLR_2020-12-07_final
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final
2021-01-29 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-01-29_final
2021-02-09 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-02-09_final
2021-07-01 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-07-01_final
2021-07-02 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-07-02_final.stac-item
2021-07-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2021-07-22_final
2021-09-13 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-09-13_final
2021-10-06 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-06_final
2021-10-23 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-23_final
2022-01-14 12:05:42	ga_s2am_ard_3-2-1_50JKP_2022-01-14_final
2022-01-24 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-01-24_final
2022-01-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-28_final.stac-item
2022-02-10 11:56:10	ga_s2am_ard_3-2-1_50JLM_2022-02-10_final
2022-04-05 11:36:33	ga_s2am_ard_3-2-1_50HPK_2022-04-05_final
2022-04-08 11:46:41	ga_s2am_ard_3-2-1_50HMK_2022-04-08_final
2022-04-25 11:36:44	ga_s2am_ard_3-2-1_50HPK_2022-04-25_final
2022-07-03 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-07-03_final
2022-07-14 11:36:50	ga_s2am_ard_3-2-1_50HPK_2022-07-14_final
2022-08-19 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-08-19_final
2022-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-11-30_final.stac-item
2022-11-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-11-30_final.stac-item
2022-12-07 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-12-07_final.stac-item
2023-01-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2023-01-29_final.stac-item
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_final.stac-item
2023-03-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-03-21_final.stac-item
2023-03-31 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-31_final.stac-item
2023-04-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-04-06_final.stac-item
2023-04-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-04-12_final.stac-item
2023-04-13 11:47:21	ga_s2am_ard_3-2-1_50HNG_2023-04-13_final.stac-item
2023-04-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2023-04-29_final.stac-item
2023-07-02 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-07-02_final.stac-item
2023-07-08 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-07-08_final.stac-item
2023-07-22 11:46:38	ga_s2am_ard_3-2-1_50HPK_2023-07-22_final.stac-item
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final.stac-item
2023-08-30 12:14:04	ga_s2am_ard_3-2-1_49KGR_2023-08-30_final.stac-item
2023-09-06 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-09-06_final.stac-item
2023-09-16 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-09-16_final.stac-item
2023-09-26 12:04:33	ga_s2am_ard_3-2-1_49KGP_2023-09-26_final.stac-item
2023-12-18 12:13:54	ga_s2am_ard_3-2-1_49KGR_2023-12-18_final.stac-item
2023-12-22 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-12-22_final.stac-item
2023-12-25 12:04:28	ga_s2am_ard_3-2-1_49KGP_2023-12-25_final.stac-item
2024-03-01 11:56:14	ga_s2am_ard_3-2-1_50JKM_2024-03-01_final.stac-item
2024-04-17 11:46:37	ga_s2am_ard_3-2-1_50HPK_2024-04-17_final.stac-item
2024-04-26 12:14:29	ga_s2am_ard_3-2-1_49KGP_2024-04-26_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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