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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-09-11_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNM_2015-12-04_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKN_2016-02-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLT_2016-04-02_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPG_2016-04-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPK_2016-06-05_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JNM_2016-08-30_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKB_2016-09-12_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HNG_2016-10-03_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KKB_2016-11-01_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLJ_2017-04-07_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKN_2017-05-10_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HNK_2017-05-24_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50HNK_2017-07-26_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50JPL_2017-08-19_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPT_2017-12-30_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KPB_2018-01-12_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50KNV_2018-02-01_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KQA_2018-02-18_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KLC_2018-03-06_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMK_2018-04-09_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQH_2018-04-16_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-04-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLN_2018-05-25_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50KKB_2018-07-14_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_50KKA_2018-08-06_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KKB_2018-08-13_final
2019-01-03 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-01-03_final
2019-02-26 11:52:30	ga_s2am_ard_3-2-1_50KQF_2019-02-26_final.stac-item
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_50KKA_2019-03-14_final
2019-06-13 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-13_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-06-19_final
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-08-08_final
2019-08-25 11:53:26	ga_s2am_ard_3-2-1_50KNC_2019-08-25_final
2019-09-11 11:46:11	ga_s2am_ard_3-2-1_50JMM_2019-09-11_final
2019-09-11 11:46:39	ga_s2am_ard_3-2-1_50HMK_2019-09-11_final
2019-10-14 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-10-14_final.stac-item
2019-10-30 12:15:05	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final
2019-10-31 11:46:18	ga_s2am_ard_3-2-1_50JQL_2019-10-31_final
2019-10-31 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-10-31_final
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final
2019-11-20 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2019-11-20_final
2020-01-05 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-01-05_final
2020-01-09 11:44:32	ga_s2am_ard_3-2-1_50JPT_2020-01-09_final
2020-03-15 12:03:37	ga_s2am_ard_3-2-1_50KLB_2020-03-15_final
2020-05-17 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-05-17_final
2020-06-23 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-23_final
2020-07-10 11:53:25	ga_s2am_ard_3-2-1_50KPC_2020-07-10_final
2020-10-08 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-08_final
2020-10-24 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-10-24_final
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-11-01 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-11-01_final
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-12-07 11:53:15	ga_s2am_ard_3-2-1_50KQC_2020-12-07_final
2020-12-27 11:57:05	ga_s2am_ard_3-2-1_50HMH_2020-12-27_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2021-01-06 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-06_final
2021-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-02-05_final
2021-04-06 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-30 11:36:35	ga_s2am_ard_3-2-1_50HPK_2021-04-30_final
2021-04-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-04-30_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-06-18_final
2021-07-15 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-07-15_final
2021-08-21 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-21_final.stac-item
2021-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-09-19_final
2021-09-26 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-09-26_final
2021-10-20 11:45:52	ga_s2am_ard_3-2-1_50JQN_2021-10-20_final
2022-02-13 12:03:41	ga_s2am_ard_3-2-1_50KLB_2022-02-13_final
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-06-07 11:46:51	ga_s2am_ard_3-2-1_50HQJ_2022-06-07_final
2022-06-24 11:36:17	ga_s2am_ard_3-2-1_50JQM_2022-06-24_final
2022-08-02 12:03:51	ga_s2am_ard_3-2-1_50KLB_2022-08-02_final
2022-08-03 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-08-03_final
2022-08-03 11:37:28	ga_s2am_ard_3-2-1_50HQG_2022-08-03_final.stac-item
2022-09-02 11:37:38	ga_s2am_ard_3-2-1_50HNG_2022-09-02_final.stac-item
2022-11-21 11:37:18	ga_s2am_ard_3-2-1_50HQG_2022-11-21_final.stac-item
2023-01-13 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-01-13_final.stac-item
2023-02-01 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-02-01_final.stac-item
2023-02-11 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-11_final.stac-item
2023-02-22 11:45:33	ga_s2am_ard_3-2-1_50JPP_2023-02-22_final.stac-item
2023-04-06 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-06_final.stac-item
2023-04-29 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-04-29_final.stac-item
2023-06-09 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-06-09_final.stac-item
2023-07-08 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-07-08_final.stac-item
2023-07-15 11:53:22	ga_s2am_ard_3-2-1_50KQC_2023-07-15_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-07-28 12:03:49	ga_s2am_ard_3-2-1_50KKB_2023-07-28_final.stac-item
2023-08-10 12:13:58	ga_s2am_ard_3-2-1_50KKA_2023-08-10_final.stac-item
2023-09-30 11:47:29	ga_s2am_ard_3-2-1_50HLG_2023-09-30_final.stac-item
2023-10-03 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-10-03_final.stac-item
2023-11-02 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-11-02_final.stac-item
2023-11-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2023-11-28_final.stac-item
2023-11-29 11:47:09	ga_s2am_ard_3-2-1_50HPG_2023-11-29_final.stac-item
2024-04-07 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-04-07_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_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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