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
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_50KLA_2015-11-27_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HQJ_2016-01-07_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JQP_2016-02-19_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKN_2016-04-15_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMR_2016-10-09_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HNK_2016-11-05_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HPH_2017-02-13_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGJ_2017-03-11_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-23_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JNL_2017-05-27_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50KNC_2017-07-09_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50KQC_2017-10-11_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JKN_2018-03-03_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KKA_2018-03-06_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50HNG_2018-03-07_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPH_2018-04-16_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLJ_2018-05-12_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLT_2018-07-04_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-06_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHP_2018-09-05_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JRT_2018-10-26_final
2018-11-25 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2018-11-25_final
2018-12-18 11:55:38	ga_s2am_ard_3-2-1_50JKP_2018-12-18_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2019-03-01 12:05:03	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-03-21_final.stac-item
2019-04-07 11:56:12	ga_s2am_ard_3-2-1_50JLM_2019-04-07_final
2019-05-07 11:56:22	ga_s2am_ard_3-2-1_50JNL_2019-05-07_final
2019-05-24 11:43:25	ga_s2am_ard_3-2-1_50KQC_2019-05-24_final
2019-05-24 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-24_final
2019-07-16 11:56:09	ga_s2am_ard_3-2-1_50JNM_2019-07-16_final
2019-09-07 12:03:26	ga_s2am_ard_3-2-1_50KLC_2019-09-07_final
2019-12-03 11:55:45	ga_s2am_ard_3-2-1_50JKP_2019-12-03_final
2019-12-10 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-12-10_final.stac-item
2020-01-09 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-09_final
2020-02-21 11:55:44	ga_s2am_ard_3-2-1_50JNN_2020-02-21_final
2020-03-02 11:55:30	ga_s2am_ard_3-2-1_50JNP_2020-03-02_final
2020-03-05 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-05_final
2020-05-01 11:53:34	ga_s2am_ard_3-2-1_50KMC_2020-05-01_final
2020-05-11 11:56:01	ga_s2am_ard_3-2-1_50JLN_2020-05-11_final
2020-05-14 12:04:09	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final
2020-05-28 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-05-28_final
2020-06-17 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-06-17_final.stac-item
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final
2020-12-04 11:46:39	ga_s2am_ard_3-2-1_50HMK_2020-12-04_final
2020-12-24 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-12-24_final
2021-01-09 12:06:05	ga_s2am_ard_3-2-1_50JLM_2021-01-09_final
2021-01-23 11:43:22	ga_s2am_ard_3-2-1_50KQC_2021-01-23_final
2021-04-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2021-04-23_final
2021-06-18 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-06-18_final
2021-07-08 12:04:01	ga_s2am_ard_3-2-1_50KKA_2021-07-08_final
2021-07-25 11:56:00	ga_s2am_ard_3-2-1_50JLN_2021-07-25_final
2021-07-25 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-25_final
2021-08-17 12:04:56	ga_s2am_ard_3-2-1_50JLS_2021-08-17_final
2021-09-13 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-09-13_final.stac-item
2021-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-09-19_final
2021-10-30 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2021-10-30_final
2021-11-19 11:45:50	ga_s2am_ard_3-2-1_50JPN_2021-11-19_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-12-25_final
2022-01-08 11:46:39	ga_s2am_ard_3-2-1_50HNK_2022-01-08_final
2022-02-03 12:05:00	ga_s2am_ard_3-2-1_49JGM_2022-02-03_final
2022-03-02 11:55:56	ga_s2am_ard_3-2-1_50JMN_2022-03-02_final
2022-05-11 11:54:44	ga_s2am_ard_3-2-1_50JMT_2022-05-11_final
2022-05-11 11:55:06	ga_s2am_ard_3-2-1_50JPR_2022-05-11_final
2022-06-13 12:05:36	ga_s2am_ard_3-2-1_50JKQ_2022-06-13_final
2022-06-23 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-06-23_final
2022-07-10 11:56:17	ga_s2am_ard_3-2-1_50JNM_2022-07-10_final
2022-07-30 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-07-30_final
2022-10-01 12:04:06	ga_s2am_ard_3-2-1_50KKA_2022-10-01_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-11-04 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2022-11-04_final.stac-item
2022-11-30 12:03:23	ga_s2am_ard_3-2-1_50KMC_2022-11-30_final.stac-item
2022-12-20 12:05:36	ga_s2am_ard_3-2-1_50JLP_2022-12-20_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2022-12-27 11:55:01	ga_s2am_ard_3-2-1_50JPR_2022-12-27_final.stac-item
2023-02-08 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-02-08_final.stac-item
2023-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-03-24_final.stac-item
2023-04-22 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-22_final.stac-item
2023-06-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-19_final.stac-item
2023-07-11 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-07-11_final.stac-item
2023-09-06 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-09-06_final.stac-item
2023-09-30 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-30_final.stac-item
2023-10-03 11:53:26	ga_s2am_ard_3-2-1_50KNC_2023-10-03_final.stac-item
2023-11-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-05_final.stac-item
2023-11-08 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-11-08_final.stac-item
2023-11-09 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-11-09_final.stac-item
2023-11-25 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-11-25_final.stac-item
2023-12-05 12:03:52	ga_s2am_ard_3-2-1_50KKA_2023-12-05_final.stac-item
2023-12-09 11:47:15	ga_s2am_ard_3-2-1_50HNG_2023-12-09_final.stac-item
2024-01-01 11:55:03	ga_s2am_ard_3-2-1_50JNR_2024-01-01_final.stac-item
2024-01-14 12:05:34	ga_s2am_ard_3-2-1_50JKP_2024-01-14_final.stac-item
2024-01-18 11:45:45	ga_s2am_ard_3-2-1_50JNN_2024-01-18_final.stac-item
2024-01-24 12:03:45	ga_s2am_ard_3-2-1_50KMA_2024-01-24_final.stac-item
2024-01-27 12:14:50	ga_s2am_ard_3-2-1_49JGM_2024-01-27_final.stac-item
2024-03-11 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2024-03-11_final.stac-item
2024-03-24 12:03:28	ga_s2am_ard_3-2-1_50KLC_2024-03-24_final.stac-item
2024-04-10 11:56:00	ga_s2am_ard_3-2-1_50JKN_2024-04-10_final.stac-item
2024-04-24 11:35:53	ga_s2am_ard_3-2-1_50JQN_2024-04-24_final.stac-item
2024-05-03 12:04:28	ga_s2am_ard_3-2-1_50KLU_2024-05-03_final.stac-item
2024-05-10 11:55:09	ga_s2am_ard_3-2-1_50JNR_2024-05-10_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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