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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGQ_2016-01-16_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JFM_2016-06-07_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGR_2016-08-26_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQK_2016-11-05_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2017-01-04 11:46:21	ga_s2am_ard_3-2-1_50HNK_2017-01-04_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLK_2017-01-07_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JKM_2017-03-11_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMK_2017-07-03_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49JHN_2017-07-29_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HMK_2017-08-15_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMG_2017-09-14_final.stac-item
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KGP_2017-10-20_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLK_2017-10-24_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50JLM_2017-11-03_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JLS_2018-01-15_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGL_2018-01-25_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQH_2018-01-26_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KHR_2018-02-07_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-02-14_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHS_2018-06-04_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JMM_2018-06-08_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGN_2018-09-05_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLM_2018-09-29_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKS_2018-10-02_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMN_2018-10-19_final
2018-11-14 12:13:53	ga_s2am_ard_3-2-1_49KGR_2018-11-14_final
2019-01-01 11:37:00	ga_s2am_ard_3-2-1_50HPH_2019-01-01_final
2019-01-07 11:56:06	ga_s2am_ard_3-2-1_50JLM_2019-01-07_final
2019-04-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-04-20_final
2019-04-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-04-23_final
2019-04-30 12:05:55	ga_s2am_ard_3-2-1_50JLN_2019-04-30_final
2019-05-11 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-05-11_final
2019-05-20 12:05:41	ga_s2am_ard_3-2-1_50JLP_2019-05-20_final
2019-09-07 12:05:40	ga_s2am_ard_3-2-1_50JKP_2019-09-07_final
2019-11-13 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-11-13_final
2019-11-23 11:56:12	ga_s2am_ard_3-2-1_50JLM_2019-11-23_final
2019-11-30 11:46:33	ga_s2am_ard_3-2-1_50HPK_2019-11-30_final
2019-12-10 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-12-10_final
2019-12-20 11:46:31	ga_s2am_ard_3-2-1_50HNK_2019-12-20_final
2020-01-05 12:05:59	ga_s2am_ard_3-2-1_50JLM_2020-01-05_final
2020-01-09 11:46:24	ga_s2am_ard_3-2-1_50HQK_2020-01-09_final
2020-01-09 11:47:01	ga_s2am_ard_3-2-1_50HNH_2020-01-09_final
2020-01-22 11:55:40	ga_s2am_ard_3-2-1_50JKP_2020-01-22_final
2020-02-08 11:46:22	ga_s2am_ard_3-2-1_50HQK_2020-02-08_final
2020-02-24 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-02-24_final
2020-02-28 11:47:16	ga_s2am_ard_3-2-1_50HNG_2020-02-28_final.stac-item
2020-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-05-07_final
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final
2020-08-19 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-08-19_final
2020-08-26 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-08-26_final
2020-09-12 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-12_final
2020-10-04 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-04_final
2020-11-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2020-11-20_final
2021-01-03 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-01-03_final
2021-01-12 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-12_final
2021-01-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-01-29_final
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-03-30_final
2021-05-09 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-05-09_final
2021-07-08 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-07-08_final
2021-07-25 11:55:56	ga_s2am_ard_3-2-1_50JMN_2021-07-25_final
2021-08-11 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-08-11_final
2021-09-06 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-09-06_final
2021-11-15 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-11-15_final
2021-12-26 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-12-26_final
2021-12-29 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-12-29_final.stac-item
2022-04-14 12:04:45	ga_s2am_ard_3-2-1_50JKT_2022-04-14_final
2022-04-25 11:37:22	ga_s2am_ard_3-2-1_50HQG_2022-04-25_final.stac-item
2022-05-01 11:57:29	ga_s2am_ard_3-2-1_50HLG_2022-05-01_final.stac-item
2022-05-11 11:57:24	ga_s2am_ard_3-2-1_50HMG_2022-05-11_final.stac-item
2022-05-24 12:05:15	ga_s2am_ard_3-2-1_50JLR_2022-05-24_final
2022-06-17 11:47:28	ga_s2am_ard_3-2-1_50HPG_2022-06-17_final.stac-item
2022-08-26 11:47:29	ga_s2am_ard_3-2-1_50HPG_2022-08-26_final.stac-item
2022-08-29 11:55:59	ga_s2am_ard_3-2-1_50JKP_2022-08-29_final
2022-11-03 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2022-11-03_final.stac-item
2022-12-31 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2022-12-31_final.stac-item
2023-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-12_final.stac-item
2023-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-03-21_final.stac-item
2023-04-06 11:56:07	ga_s2am_ard_3-2-1_50JMM_2023-04-06_final.stac-item
2023-04-12 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2023-04-12_final.stac-item
2023-04-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-29_final.stac-item
2023-05-22 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-05-22_final.stac-item
2023-06-21 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2023-06-21_final.stac-item
2023-06-25 11:57:09	ga_s2am_ard_3-2-1_50HMH_2023-06-25_final.stac-item
2023-07-02 11:46:31	ga_s2am_ard_3-2-1_50JML_2023-07-02_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-08-01 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-08-01_final.stac-item
2023-10-20 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-10-20_final.stac-item
2023-11-25 12:05:59	ga_s2am_ard_3-2-1_50JLM_2023-11-25_final.stac-item
2024-01-18 11:46:17	ga_s2am_ard_3-2-1_50JML_2024-01-18_final.stac-item
2024-01-24 12:05:31	ga_s2am_ard_3-2-1_50JLP_2024-01-24_final.stac-item
2024-02-13 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-02-13_final.stac-item
2024-02-20 11:57:18	ga_s2am_ard_3-2-1_50HMG_2024-02-20_final.stac-item
2024-02-27 11:46:29	ga_s2am_ard_3-2-1_50HQK_2024-02-27_final.stac-item
2024-02-27 11:46:52	ga_s2am_ard_3-2-1_50HQH_2024-02-27_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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