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
2016-02-05 12:03:44	ga_s2am_ard_3-2-1_49KHR_2016-02-05_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JHN_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPG_2016-07-28_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNH_2016-12-15_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49JGK_2017-08-18_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JKP_2017-09-14_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPG_2017-09-28_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HNK_2017-11-20_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGN_2018-01-25_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHS_2018-03-26_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKS_2018-04-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHS_2018-05-15_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGQ_2018-07-27_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMH_2018-07-31_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final
2018-11-08 11:55:48	ga_s2am_ard_3-2-1_50JLN_2018-11-08_final
2018-11-18 11:55:40	ga_s2am_ard_3-2-1_50JKP_2018-11-18_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2018-12-28 11:56:29	ga_s2am_ard_3-2-1_50HMK_2018-12-28_final
2018-12-31 12:05:31	ga_s2am_ard_3-2-1_50JLP_2018-12-31_final
2019-01-27 11:55:53	ga_s2am_ard_3-2-1_50JLN_2019-01-27_final
2019-02-09 12:06:01	ga_s2am_ard_3-2-1_50JLM_2019-02-09_final
2019-02-26 11:56:32	ga_s2am_ard_3-2-1_50HMK_2019-02-26_final
2019-03-12 11:36:33	ga_s2am_ard_3-2-1_50HPK_2019-03-12_final
2019-03-18 11:56:23	ga_s2am_ard_3-2-1_50JLL_2019-03-18_final
2019-05-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2019-05-07_final
2019-05-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-13_final
2019-05-24 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-05-24_final
2019-05-27 11:56:28	ga_s2am_ard_3-2-1_50JLL_2019-05-27_final
2019-06-02 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-06-02_final
2019-07-03 11:47:11	ga_s2am_ard_3-2-1_50HNH_2019-07-03_final
2019-08-12 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-08-12_final
2019-09-14 11:55:40	ga_s2am_ard_3-2-1_50JLP_2019-09-14_final
2019-09-17 12:05:51	ga_s2am_ard_3-2-1_50JLN_2019-09-17_final
2019-11-16 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-11-16_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2019-12-16 12:05:32	ga_s2am_ard_3-2-1_50JLP_2019-12-16_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-01-25 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-25_final.stac-item
2020-03-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-03-22_final
2020-04-28 11:47:27	ga_s2am_ard_3-2-1_50HMG_2020-04-28_final.stac-item
2020-05-11 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-05-11_final
2020-06-20 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-06-20_final
2020-07-07 11:46:34	ga_s2am_ard_3-2-1_50HQK_2020-07-07_final
2020-08-15 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-15_final
2020-08-25 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-08-25_final
2020-09-12 11:37:25	ga_s2am_ard_3-2-1_50HPG_2020-09-12_final.stac-item
2020-10-05 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-10-05_final
2020-11-20 12:05:40	ga_s2am_ard_3-2-1_50JLP_2020-11-20_final
2020-11-24 11:47:08	ga_s2am_ard_3-2-1_50HNH_2020-11-24_final
2021-01-10 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-10_final
2021-01-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-01-16_final
2021-01-23 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-01-23_final
2021-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-08_final
2021-04-26 11:57:17	ga_s2am_ard_3-2-1_50HMG_2021-04-26_final.stac-item
2021-05-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-05-23_final
2021-05-26 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-05-26_final
2021-06-15 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-06-15_final
2021-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-15_final
2021-08-04 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-08-04_final
2021-08-17 12:05:19	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final
2021-11-05 12:04:46	ga_s2am_ard_3-2-1_50JKT_2021-11-05_final
2022-01-04 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2022-01-04_final
2022-01-31 11:55:42	ga_s2am_ard_3-2-1_50JLP_2022-01-31_final
2022-02-04 11:36:34	ga_s2am_ard_3-2-1_50HQK_2022-02-04_final
2022-03-16 11:36:38	ga_s2am_ard_3-2-1_50HQK_2022-03-16_final
2022-05-04 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-05-04_final
2022-05-31 11:55:50	ga_s2am_ard_3-2-1_50JLP_2022-05-31_final
2022-07-03 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-07-03_final
2022-08-02 12:04:53	ga_s2am_ard_3-2-1_50JKT_2022-08-02_final
2022-08-26 11:46:42	ga_s2am_ard_3-2-1_50HQK_2022-08-26_final.stac-item
2022-09-12 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-09-12_final.stac-item
2022-10-11 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-10-11_final.stac-item
2022-11-21 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2022-11-21_final.stac-item
2022-12-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2022-12-27_final.stac-item
2023-01-16 11:55:38	ga_s2am_ard_3-2-1_50JLP_2023-01-16_final.stac-item
2023-01-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2023-01-22_final.stac-item
2023-02-12 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-12_final.stac-item
2023-02-19 11:36:35	ga_s2am_ard_3-2-1_50HPK_2023-02-19_final.stac-item
2023-03-27 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-03-27_final.stac-item
2023-05-09 12:04:25	ga_s2am_ard_3-2-1_49KGP_2023-05-09_final.stac-item
2023-05-16 11:56:23	ga_s2am_ard_3-2-1_50JML_2023-05-16_final.stac-item
2023-05-16 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-16_final.stac-item
2023-08-01 11:46:35	ga_s2am_ard_3-2-1_50HQK_2023-08-01_final.stac-item
2023-09-03 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-09-03_final.stac-item
2023-10-13 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-10-13_final.stac-item
2023-11-02 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-02_final.stac-item
2023-11-22 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-11-22_final.stac-item
2023-11-25 12:05:46	ga_s2am_ard_3-2-1_50JLN_2023-11-25_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2024-01-11 11:55:37	ga_s2am_ard_3-2-1_50JLP_2024-01-11_final.stac-item
2024-01-18 11:46:25	ga_s2am_ard_3-2-1_50HPK_2024-01-18_final.stac-item
2024-03-04 12:05:38	ga_s2am_ard_3-2-1_50JLP_2024-03-04_final.stac-item
2024-03-11 11:56:44	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-03-25 11:36:39	ga_s2am_ard_3-2-1_50HPK_2024-03-25_final.stac-item
2024-03-28 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-28_final.stac-item
2024-03-31 11:56:39	ga_s2am_ard_3-2-1_50HLK_2024-03-31_final.stac-item
2024-04-07 11:47:02	ga_s2am_ard_3-2-1_50HPH_2024-04-07_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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