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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGQ_2015-10-28_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLP_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51JTH_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HXD_2015-12-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HXE_2015-12-25_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHP_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKV_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGQ_2016-01-09_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JMS_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KRC_2016-02-02_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HUD_2016-02-06_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_50KKU_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-03-06_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JPQ_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JQT_2016-04-02_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-04-08_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLT_2016-04-25_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGQ_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KMA_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KNC_2016-12-11_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-01-30_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMS_2017-01-30_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_50KKA_2017-02-12_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-03_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2017-05-03_final
2017-06-12 12:13:44	ga_s2am_ard_3-2-1_50KKA_2017-06-12_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JLM_2017-07-26_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-10-10_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKU_2017-11-19_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KQG_2018-02-11_final.stac-item
2019-01-17 11:52:33	ga_s2am_ard_3-2-1_50KPF_2019-01-17_final.stac-item
2019-02-19 12:03:23	ga_s2am_ard_3-2-1_50KLC_2019-02-19_final
2019-02-22 12:14:15	ga_s2am_ard_3-2-1_50KKU_2019-02-22_final
2019-02-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-02-22_final
2019-03-02 11:37:12	ga_s2am_ard_3-2-1_50HQG_2019-03-02_final.stac-item
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_50KNA_2019-03-21_final
2019-04-03 12:14:19	ga_s2am_ard_3-2-1_50KKU_2019-04-03_final
2019-07-29 12:03:31	ga_s2am_ard_3-2-1_50KLC_2019-07-29_final
2019-11-20 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-11-20_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-11-26_final.stac-item
2020-02-11 11:52:30	ga_s2am_ard_3-2-1_50KPF_2020-02-11_final.stac-item
2020-03-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2020-03-22_final.stac-item
2020-05-31 11:52:44	ga_s2am_ard_3-2-1_50KPF_2020-05-31_final.stac-item
2020-07-26 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-07-26_final
2020-08-15 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-08-15_final.stac-item
2020-09-04 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-04_final
2020-09-08 11:52:41	ga_s2am_ard_3-2-1_50KPF_2020-09-08_final.stac-item
2020-10-01 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-01_final
2021-02-05 11:55:34	ga_s2am_ard_3-2-1_50JNP_2021-02-05_final
2021-08-24 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-08-24_final
2021-11-15 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-11-15_final
2021-11-23 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-11-23_final
2022-01-04 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-01-04_final
2022-01-05 11:37:28	ga_s2am_ard_3-2-1_50HNG_2022-01-05_final.stac-item
2022-01-08 11:47:04	ga_s2am_ard_3-2-1_50HPH_2022-01-08_final
2022-01-15 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-01-15_final
2022-03-09 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-03-09_final
2022-06-30 11:57:08	ga_s2am_ard_3-2-1_50HLJ_2022-06-30_final
2022-08-13 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-13_final
2022-09-11 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-09-11_final.stac-item
2022-11-17 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-11-17_final.stac-item
2022-11-18 11:27:03	ga_s2am_ard_3-2-1_51HUC_2022-11-18_final.stac-item
2022-12-07 11:52:20	ga_s2am_ard_3-2-1_50KQG_2022-12-07_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-24 11:47:00	ga_s2am_ard_3-2-1_50HPH_2022-12-24_final.stac-item
2022-12-28 11:27:06	ga_s2am_ard_3-2-1_51HTC_2022-12-28_final.stac-item
2023-01-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-01-23_final.stac-item
2023-03-04 11:46:59	ga_s2am_ard_3-2-1_50HPH_2023-03-04_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-05-26 11:52:23	ga_s2am_ard_3-2-1_50KQG_2023-05-26_final.stac-item
2023-11-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-11-02_final.stac-item
2023-11-22 11:52:16	ga_s2am_ard_3-2-1_50KQG_2023-11-22_final.stac-item
2023-11-28 12:14:14	ga_s2am_ard_3-2-1_49KHP_2023-11-28_final.stac-item
2023-12-06 11:36:51	ga_s2am_ard_3-2-1_51HUC_2023-12-06_final.stac-item
2023-12-12 11:52:33	ga_s2am_ard_3-2-1_50KPF_2023-12-12_final.stac-item
2023-12-16 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-12-16_final.stac-item
2023-12-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2023-12-22_final.stac-item
2024-01-08 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-01-08_final.stac-item
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final.stac-item
2024-01-18 11:46:53	ga_s2am_ard_3-2-1_50HPH_2024-01-18_final.stac-item
2024-02-04 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2024-02-04_final.stac-item
2024-03-02 11:26:47	ga_s2am_ard_3-2-1_51HUD_2024-03-02_final.stac-item
2024-03-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-08_final.stac-item
2024-03-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final.stac-item
2024-03-25 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-03-25_final.stac-item
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final.stac-item
2024-03-29 11:16:37	ga_s2am_ard_3-2-1_51HYD_2024-03-29_final.stac-item
2024-03-31 11:57:08	ga_s2am_ard_3-2-1_50HLH_2024-03-31_final.stac-item
2024-04-17 11:46:56	ga_s2am_ard_3-2-1_50HQH_2024-04-17_final.stac-item
2024-04-20 11:56:33	ga_s2am_ard_3-2-1_50HNK_2024-04-20_final.stac-item
2024-04-27 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-04-27_final.stac-item
2024-05-17 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-05-17_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

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