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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMJ_2016-03-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNN_2016-04-29_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGP_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPK_2016-05-16_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JPS_2016-07-01_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLH_2016-11-05_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JKN_2016-12-28_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-01-20_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-06-19_final
2017-10-08 11:36:02	ga_s2am_ard_3-2-1_50JQM_2017-10-08_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JKP_2017-11-26_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLH_2017-12-10_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JKN_2017-12-23_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JKM_2018-01-12_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMG_2018-03-13_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HNK_2018-04-02_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKP_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGM_2018-05-05_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLG_2018-05-22_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKQ_2018-05-25_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-07-14_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HNG_2018-09-03_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-05_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-11-11_final.stac-item
2018-12-08 11:56:43	ga_s2am_ard_3-2-1_50HMJ_2018-12-08_final
2018-12-08 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-08_final
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final
2019-01-17 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-01-17_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-03-21_final.stac-item
2019-03-31 12:05:08	ga_s2am_ard_3-2-1_49JGL_2019-03-31_final
2019-04-01 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-04-01_final
2019-05-17 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-17_final
2019-05-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-05-24_final.stac-item
2019-05-30 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-05-30_final
2019-05-30 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-05-30_final
2019-07-06 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-06_final
2019-09-11 11:46:36	ga_s2am_ard_3-2-1_50HNK_2019-09-11_final
2019-10-31 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-10-31_final
2019-12-23 11:55:54	ga_s2am_ard_3-2-1_50JKN_2019-12-23_final
2020-02-15 11:37:14	ga_s2am_ard_3-2-1_50HPG_2020-02-15_final.stac-item
2020-04-04 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-04-04_final
2020-05-08 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-05-08_final.stac-item
2020-06-17 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-06-17_final
2020-06-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-06-23_final
2020-06-30 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-06-30_final
2020-09-18 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-09-18_final
2020-09-28 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-09-28_final
2020-11-07 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-11-07_final.stac-item
2021-01-06 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-01-06_final
2021-01-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-01-16_final
2021-01-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-01-29_final
2021-02-05 11:56:17	ga_s2am_ard_3-2-1_50JNL_2021-02-05_final
2021-02-28 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-02-28_final
2021-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-03-21_final.stac-item
2021-03-31 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-03-31_final
2021-04-09 12:05:33	ga_s2am_ard_3-2-1_50JLP_2021-04-09_final
2021-04-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2021-04-23_final
2021-05-19 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-05-23 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-05-23_final
2021-05-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-05-26_final.stac-item
2021-06-18 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-06-18_final.stac-item
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final.stac-item
2021-07-11 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-11_final
2021-08-17 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-17_final
2021-09-03 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-03_final
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final
2022-01-07 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-01-07_final
2022-02-24 11:36:36	ga_s2am_ard_3-2-1_50HQK_2022-02-24_final
2022-03-12 11:56:03	ga_s2am_ard_3-2-1_50JKN_2022-03-12_final
2022-05-14 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-05-14_final
2022-05-25 11:36:27	ga_s2am_ard_3-2-1_50JQL_2022-05-25_final
2022-06-20 11:56:34	ga_s2am_ard_3-2-1_50JML_2022-06-20_final
2022-09-15 11:45:45	ga_s2am_ard_3-2-1_50JPP_2022-09-15_final.stac-item
2022-10-15 11:45:16	ga_s2am_ard_3-2-1_50JNR_2022-10-15_final.stac-item
2022-12-07 11:56:11	ga_s2am_ard_3-2-1_50JLM_2022-12-07_final.stac-item
2023-01-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-01-23_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-01-30_final.stac-item
2023-04-19 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-04-19_final.stac-item
2023-06-01 12:14:45	ga_s2am_ard_3-2-1_49JGN_2023-06-01_final.stac-item
2023-06-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-12_final.stac-item
2023-07-05 11:55:25	ga_s2am_ard_3-2-1_50JNQ_2023-07-05_final.stac-item
2023-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-20_final.stac-item
2023-11-12 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-11-12_final.stac-item
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final.stac-item
2023-12-15 12:05:51	ga_s2am_ard_3-2-1_50JKN_2023-12-15_final.stac-item
2023-12-28 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-12-28_final.stac-item
2024-04-03 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-04-03_final.stac-item
2024-05-13 12:05:00	ga_s2am_ard_3-2-1_50JKS_2024-05-13_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

Other products

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