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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHR_2015-10-21_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGR_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JMT_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPK_2015-12-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPQ_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHQ_2016-01-09_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KMC_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KMV_2016-01-16_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGR_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHP_2016-03-09_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPH_2016-03-20_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_49JGJ_2016-04-15_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPH_2016-05-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-06-14_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HLK_2016-07-21_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLS_2016-09-02_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KGR_2016-09-25_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHR_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KLA_2016-12-11_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-12_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNA_2017-02-19_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-09-07_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGL_2017-09-20_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-09-30_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-11-19_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFM_2017-12-09_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLJ_2018-06-11_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2019-01-21 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-21_final.stac-item
2019-03-08 11:56:24	ga_s2am_ard_3-2-1_50HNK_2019-03-08_final
2019-03-11 12:03:22	ga_s2am_ard_3-2-1_50KLC_2019-03-11_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_50KKU_2019-08-01_final
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2019-11-29 12:14:26	ga_s2am_ard_3-2-1_49KGP_2019-11-29_final
2020-02-24 12:04:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-07-26_final
2020-08-15 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-15_final
2020-09-04 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-09-04_final
2020-09-08 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-09-08_final
2020-09-08 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-09-08_final
2020-09-15 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-09-15_final
2020-09-18 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-09-18_final
2020-09-22 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-09-22_final
2021-01-29 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-01-29_final
2021-09-10 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-09-10_final
2021-10-26 12:05:13	ga_s2am_ard_3-2-1_49JFM_2021-10-26_final
2021-11-25 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-11-25_final
2021-12-06 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-06_final.stac-item
2021-12-22 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-12-22_final
2021-12-26 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-12-26_final
2022-01-01 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-01-01_final
2022-01-01 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-01_final
2022-01-14 12:05:30	ga_s2am_ard_3-2-1_49JGK_2022-01-14_final
2022-01-28 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-01-28_final
2022-03-06 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-06_final
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-03-16 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-16_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-05-04 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-05-04_final
2022-05-25 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-05-25_final
2022-05-31 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-05-31_final
2022-06-07 11:47:10	ga_s2am_ard_3-2-1_50HPH_2022-06-07_final
2022-06-20 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-06-20_final
2022-06-30 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-06-30_final
2022-07-07 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-07-07_final
2022-08-09 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-08-09_final
2022-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2022-10-08_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2023-01-13 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-01-13_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 11:56:41	ga_s2am_ard_3-2-1_50HLK_2023-05-16_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-05-26 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-05-26_final.stac-item
2023-07-22 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-07-22_final.stac-item
2023-07-22 11:47:06	ga_s2am_ard_3-2-1_50HPH_2023-07-22_final.stac-item
2023-08-04 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-04_final.stac-item
2023-08-14 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-14_final.stac-item
2023-09-17 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-09-17_final.stac-item
2023-10-20 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-10-20_final.stac-item
2023-10-23 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-10-23_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-11-19 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-11-19_final.stac-item
2023-12-05 12:03:37	ga_s2am_ard_3-2-1_50KKB_2023-12-05_final.stac-item
2023-12-06 11:36:56	ga_s2am_ard_3-2-1_50HQH_2023-12-06_final.stac-item
2023-12-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2023-12-08_final.stac-item
2023-12-16 11:36:59	ga_s2am_ard_3-2-1_50HQH_2023-12-16_final.stac-item
2023-12-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-12-19_final.stac-item
2023-12-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-12-22_final.stac-item
2023-12-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-12-22_final.stac-item
2024-01-15 11:37:20	ga_s2am_ard_3-2-1_50HNG_2024-01-15_final.stac-item
2024-02-03 12:06:00	ga_s2am_ard_3-2-1_50JLM_2024-02-03_final.stac-item
2024-02-10 11:56:10	ga_s2am_ard_3-2-1_50JKM_2024-02-10_final.stac-item
2024-02-23 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2024-02-23_final.stac-item
2024-03-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-18_final.stac-item
2024-04-03 12:03:21	ga_s2am_ard_3-2-1_50KMC_2024-04-03_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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