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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
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-04-25_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPJ_2016-05-16_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-08-13_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-09-26_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JKT_2016-11-21_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KKA_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HPG_2016-12-25_final.stac-item
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHR_2017-07-22_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKT_2017-10-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KMA_2017-10-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPH_2017-12-17_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-02-24_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKN_2018-04-15_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPH_2018-04-19_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKN_2018-07-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JLN_2018-07-01_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKT_2018-07-14_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-22_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMG_2018-10-26_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HLH_2018-11-05_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPP_2018-11-05_final
2018-11-08 11:57:05	ga_s2am_ard_3-2-1_50HLH_2018-11-08_final
2018-11-18 11:56:16	ga_s2am_ard_3-2-1_50JML_2018-11-18_final
2018-11-21 12:03:52	ga_s2am_ard_3-2-1_50KKA_2018-11-21_final
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2018-12-05 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-05_final
2018-12-18 11:55:44	ga_s2am_ard_3-2-1_50JMN_2018-12-18_final
2019-01-17 11:53:21	ga_s2am_ard_3-2-1_50KNC_2019-01-17_final
2019-02-09 12:04:10	ga_s2am_ard_3-2-1_50KKV_2019-02-09_final
2019-03-21 12:03:57	ga_s2am_ard_3-2-1_50KKA_2019-03-21_final
2019-03-21 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-03-21_final
2019-03-28 11:53:30	ga_s2am_ard_3-2-1_50KMC_2019-03-28_final
2019-04-07 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-04-07_final.stac-item
2019-04-17 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-04-17_final
2019-05-07 11:56:03	ga_s2am_ard_3-2-1_50JKN_2019-05-07_final
2019-06-03 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2019-06-03_final
2019-09-04 11:56:36	ga_s2am_ard_3-2-1_50HMK_2019-09-04_final
2019-09-07 12:03:58	ga_s2am_ard_3-2-1_50KKA_2019-09-07_final
2019-09-08 11:35:49	ga_s2am_ard_3-2-1_50JQN_2019-09-08_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-09-14 11:56:21	ga_s2am_ard_3-2-1_50JML_2019-09-14_final
2019-09-21 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-21_final
2019-10-01 11:45:34	ga_s2am_ard_3-2-1_50JQP_2019-10-01_final
2019-10-24 11:53:28	ga_s2am_ard_3-2-1_50KNC_2019-10-24_final
2019-11-17 11:37:26	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-12-16 12:03:36	ga_s2am_ard_3-2-1_50KLB_2019-12-16_final
2020-01-22 11:55:50	ga_s2am_ard_3-2-1_50JLN_2020-01-22_final
2020-02-08 11:45:57	ga_s2am_ard_3-2-1_50JPM_2020-02-08_final
2020-03-08 12:13:50	ga_s2am_ard_3-2-1_49KHR_2020-03-08_final
2020-04-18 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2020-04-18_final
2020-05-21 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-05-21_final
2020-07-13 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-07-13_final
2020-08-09 11:54:32	ga_s2am_ard_3-2-1_50KMU_2020-08-09_final
2020-09-21 12:03:46	ga_s2am_ard_3-2-1_50KLB_2020-09-21_final
2020-11-20 12:03:43	ga_s2am_ard_3-2-1_50KLB_2020-11-20_final
2021-01-06 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-01-06_final
2021-01-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-29_final
2021-02-28 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-02-28_final
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-03-27 11:54:46	ga_s2am_ard_3-2-1_50JPS_2021-03-27_final
2021-04-23 11:46:26	ga_s2am_ard_3-2-1_50HQK_2021-04-23_final
2021-05-06 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-05-06_final
2021-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-05-10_final
2021-06-02 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-06-02_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-06-18_final
2021-07-25 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-07-25_final
2021-08-11 11:44:47	ga_s2am_ard_3-2-1_50JRS_2021-08-11_final
2021-10-20 11:46:10	ga_s2am_ard_3-2-1_50JPM_2021-10-20_final
2021-11-15 12:04:29	ga_s2am_ard_3-2-1_50KKU_2021-11-15_final
2021-11-19 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-11-19_final
2021-12-25 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-12-25_final
2022-01-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-01-04_final
2022-01-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-01-17_final
2022-02-23 12:04:42	ga_s2am_ard_3-2-1_50JLT_2022-02-23_final
2022-03-18 12:13:58	ga_s2am_ard_3-2-1_50KKA_2022-03-18_final
2022-04-28 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-04-28_final
2022-06-16 12:13:50	ga_s2am_ard_3-2-1_50KKB_2022-06-16_final
2022-06-27 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-06-27_final
2022-07-17 11:45:17	ga_s2am_ard_3-2-1_50JQR_2022-07-17_final
2022-08-19 11:54:09	ga_s2am_ard_3-2-1_50KMA_2022-08-19_final
2022-11-24 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2022-11-24_final.stac-item
2022-12-03 12:14:27	ga_s2am_ard_3-2-1_49KGP_2022-12-03_final.stac-item
2022-12-10 12:03:24	ga_s2am_ard_3-2-1_50KMC_2022-12-10_final.stac-item
2022-12-11 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-12-11_final.stac-item
2023-01-02 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-01-02_final.stac-item
2023-01-16 11:56:14	ga_s2am_ard_3-2-1_50JNL_2023-01-16_final.stac-item
2023-02-25 11:55:57	ga_s2am_ard_3-2-1_50JKN_2023-02-25_final.stac-item
2023-04-19 12:03:40	ga_s2am_ard_3-2-1_50KLB_2023-04-19_final.stac-item
2023-04-26 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-04-26_final.stac-item
2023-05-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2023-05-02_final.stac-item
2023-05-09 12:04:29	ga_s2am_ard_3-2-1_50KLU_2023-05-09_final.stac-item
2023-08-27 12:04:19	ga_s2am_ard_3-2-1_50KKV_2023-08-27_final.stac-item
2023-11-22 11:53:27	ga_s2am_ard_3-2-1_50KMC_2023-11-22_final.stac-item
2023-12-12 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-12-12_final.stac-item
2023-12-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-12-18_final.stac-item
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_50KNA_2024-01-04_final.stac-item
2024-01-21 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-07 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2024-02-07_final.stac-item
2024-02-14 11:35:48	ga_s2am_ard_3-2-1_50JQN_2024-02-14_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

All years