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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLN_2016-01-03_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JMN_2016-02-02_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKN_2016-02-15_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-09_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2016-09-12_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHP_2016-09-12_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLK_2016-10-09_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGP_2016-11-24_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMN_2017-04-07_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JMM_2017-06-06_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JLM_2017-07-06_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_50JRS_2017-07-30_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KLA_2017-08-18_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGP_2017-09-30_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-11-09_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-11-26_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JLM_2018-01-05_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_50JMS_2018-01-15_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLM_2018-02-11_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HPH_2018-02-25_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGK_2018-03-16_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JMP_2018-05-02_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLS_2018-05-25_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMM_2018-06-01_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHN_2018-06-04_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JPN_2018-06-08_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-04_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JQN_2018-07-28_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JLM_2018-09-19_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPK_2018-10-26_final
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final
2019-04-24 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-04-24_final
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-07-09 12:04:51	ga_s2am_ard_3-2-1_49JGN_2019-07-09_final
2019-09-04 11:56:07	ga_s2am_ard_3-2-1_50JMM_2019-09-04_final
2019-12-10 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-12-10_final
2020-02-04 12:05:33	ga_s2am_ard_3-2-1_50JKP_2020-02-04_final
2020-02-14 12:05:58	ga_s2am_ard_3-2-1_50JLM_2020-02-14_final
2020-03-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-15_final
2020-04-04 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-04-04_final
2020-04-21 11:56:12	ga_s2am_ard_3-2-1_50JLM_2020-04-21_final
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-05-07_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-08-16 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-08-16_final
2020-09-01 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-09-01_final
2020-09-12 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-09-12_final
2020-09-15 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-15_final
2020-10-28 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-10-28_final
2020-11-17 11:54:47	ga_s2am_ard_3-2-1_50JLT_2020-11-17_final
2020-12-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2020-12-20_final
2021-01-09 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-01-09_final
2021-02-25 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-02-25_final
2021-02-28 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-02-28_final
2021-03-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-03-04_final
2021-03-27 11:54:46	ga_s2am_ard_3-2-1_50JPS_2021-03-27_final
2021-03-30 12:04:29	ga_s2am_ard_3-2-1_49KGP_2021-03-30_final
2021-04-13 11:45:27	ga_s2am_ard_3-2-1_50JQP_2021-04-13_final
2021-07-25 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-25_final
2021-08-27 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-08-27_final
2021-09-20 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2021-09-20_final
2021-10-09 12:15:05	ga_s2am_ard_3-2-1_49JFM_2021-10-09_final
2021-11-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-11-05_final
2021-11-12 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-11-12_final
2022-01-07 12:14:28	ga_s2am_ard_3-2-1_49KGP_2022-01-07_final
2022-05-11 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-05-11_final
2022-05-21 11:54:51	ga_s2am_ard_3-2-1_50JLT_2022-05-21_final
2022-06-17 11:46:59	ga_s2am_ard_3-2-1_50HPJ_2022-06-17_final
2022-07-07 11:46:21	ga_s2am_ard_3-2-1_50JNM_2022-07-07_final
2022-07-10 11:56:24	ga_s2am_ard_3-2-1_50JLM_2022-07-10_final
2022-07-30 11:56:21	ga_s2am_ard_3-2-1_50JLM_2022-07-30_final
2022-11-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-11-14_final.stac-item
2022-12-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-12-10_final.stac-item
2022-12-27 11:57:04	ga_s2am_ard_3-2-1_50HMH_2022-12-27_final.stac-item
2023-01-12 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-01-12_final.stac-item
2023-01-19 12:04:34	ga_s2am_ard_3-2-1_50JLT_2023-01-19_final.stac-item
2023-02-25 11:55:57	ga_s2am_ard_3-2-1_50JKN_2023-02-25_final.stac-item
2023-03-20 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-03-20_final.stac-item
2023-04-22 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-22_final.stac-item
2023-05-23 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-05-23_final.stac-item
2023-06-08 12:05:18	ga_s2am_ard_3-2-1_49JGL_2023-06-08_final.stac-item
2023-06-09 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-09_final.stac-item
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-06-28_final.stac-item
2023-07-12 11:46:43	ga_s2am_ard_3-2-1_50HNK_2023-07-12_final.stac-item
2023-07-22 11:46:23	ga_s2am_ard_3-2-1_50JPL_2023-07-22_final.stac-item
2023-07-22 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-07-22_final.stac-item
2023-08-17 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-08-17_final.stac-item
2023-08-18 11:36:32	ga_s2am_ard_3-2-1_50JPL_2023-08-18_final.stac-item
2023-08-27 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-27_final.stac-item
2023-10-20 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-10-20_final.stac-item
2023-10-23 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-10-23_final.stac-item
2023-11-09 11:46:15	ga_s2am_ard_3-2-1_50JQL_2023-11-09_final.stac-item
2023-12-05 12:04:24	ga_s2am_ard_3-2-1_49KGP_2023-12-05_final.stac-item
2023-12-22 11:56:04	ga_s2am_ard_3-2-1_50JMM_2023-12-22_final.stac-item
2024-03-08 11:46:13	ga_s2am_ard_3-2-1_50JMM_2024-03-08_final.stac-item
2024-03-31 11:57:21	ga_s2am_ard_3-2-1_50HLG_2024-03-31_final.stac-item
2024-04-07 11:46:56	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-04-07 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-04-07_final.stac-item
2024-04-23 12:04:02	ga_s2am_ard_3-2-1_50KKA_2024-04-23_final.stac-item
2024-04-23 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-04-23_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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