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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HMK_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KKV_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNP_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KQC_2016-01-20_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLR_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPH_2016-02-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KRC_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNM_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KQV_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQV_2016-04-29_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKB_2016-05-15_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KNB_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JRS_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JNN_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNQ_2016-05-29_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKT_2016-09-02_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KNC_2017-01-20_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNH_2017-02-13_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQG_2017-03-12_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-03-31_final.stac-item
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JFM_2017-09-20_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50JPM_2018-02-08_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HNH_2018-02-28_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLJ_2018-04-12_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUC_2018-06-05_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKN_2018-06-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JKN_2018-07-21_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-11-15 11:47:04	ga_s2am_ard_3-2-1_50HMH_2018-11-15_final
2018-11-18 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-11-18_final
2018-12-24 12:13:46	ga_s2am_ard_3-2-1_50KKA_2018-12-24_final
2019-03-31 12:03:23	ga_s2am_ard_3-2-1_50KMC_2019-03-31_final
2019-04-14 11:46:21	ga_s2am_ard_3-2-1_50JPL_2019-04-14_final
2019-06-06 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-06-06_final.stac-item
2019-06-10 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-06-10_final
2019-08-29 11:36:44	ga_s2am_ard_3-2-1_51HUD_2019-08-29_final
2019-10-24 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-24_final
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-02-11 11:53:17	ga_s2am_ard_3-2-1_50KNC_2020-02-11_final
2020-02-21 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-02-21_final
2020-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-05-08_final
2020-06-30 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-06-30_final
2020-08-12 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-08-12_final.stac-item
2020-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-11-07_final
2020-11-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-11-07_final
2020-11-23 12:15:12	ga_s2am_ard_3-2-1_49JGL_2020-11-23_final
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-03-01 11:34:36	ga_s2am_ard_3-2-1_50JRT_2021-03-01_final
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-05-12_final
2021-07-09 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final
2021-09-06 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-09-06_final
2021-09-16 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-09-16_final
2021-09-17 11:36:45	ga_s2am_ard_3-2-1_51HUD_2021-09-17_final
2021-09-20 11:46:18	ga_s2am_ard_3-2-1_50JQL_2021-09-20_final
2021-10-06 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-06_final
2022-01-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-01-07_final
2022-01-15 11:37:18	ga_s2am_ard_3-2-1_50HQG_2022-01-15_final.stac-item
2022-03-22 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-03-22_final
2022-05-05 11:37:02	ga_s2am_ard_3-2-1_51HUC_2022-05-05_final
2022-06-01 11:27:09	ga_s2am_ard_3-2-1_51HUC_2022-06-01_final
2022-09-08 11:56:15	ga_s2am_ard_3-2-1_50JNM_2022-09-08_final.stac-item
2022-09-11 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-09-11_final.stac-item
2022-09-15 11:46:25	ga_s2am_ard_3-2-1_50JQL_2022-09-15_final.stac-item
2022-09-21 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-09-21_final.stac-item
2022-09-24 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-09-24_final.stac-item
2022-10-08 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-10-08_final.stac-item
2022-12-07 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-12-07_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-16 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-01-16_final.stac-item
2023-02-05 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-02-05_final.stac-item
2023-02-08 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-02-08_final.stac-item
2023-02-25 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-25_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-03-04 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-03-04_final.stac-item
2023-03-31 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-31_final.stac-item
2023-04-20 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-04-20_final.stac-item
2023-04-26 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-04-26_final.stac-item
2023-06-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-06-19 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-06-19_final.stac-item
2023-08-28 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-08-28_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-09-10 11:46:20	ga_s2am_ard_3-2-1_50JQL_2023-09-10_final.stac-item
2023-09-16 12:05:02	ga_s2am_ard_3-2-1_50JMR_2023-09-16_final.stac-item
2023-09-20 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-20_final.stac-item
2023-10-03 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-10-03_final.stac-item
2023-12-05 12:05:08	ga_s2am_ard_3-2-1_49JGL_2023-12-05_final.stac-item
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final.stac-item
2024-01-11 11:53:26	ga_s2am_ard_3-2-1_50KMC_2024-01-11_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_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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