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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KYU_2015-12-08_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQM_2015-12-21_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KMV_2016-01-16_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXG_2016-01-24_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUU_2016-03-20_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KXT_2016-08-04_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51KXT_2016-10-10_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JYN_2016-10-30_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KMC_2016-11-18_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KQB_2016-12-08_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KMA_2016-12-11_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JWK_2016-12-12_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KLA_2016-12-21_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JYG_2017-01-25_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-22_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLL_2017-02-26_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HXD_2017-04-08_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2017-07-04_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KWA_2017-07-23_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KWQ_2017-08-06_final
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KUT_2018-09-26_final
2019-01-31 11:36:54	ga_s2am_ard_3-2-1_51HUC_2019-01-31_final
2019-02-07 11:26:02	ga_s2am_ard_3-2-1_51JUG_2019-02-07_final
2019-02-07 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-07_final
2019-02-09 12:03:30	ga_s2am_ard_3-2-1_50KNB_2019-02-09_final
2019-02-10 11:31:53	ga_s2am_ard_3-2-1_51LXC_2019-02-10_final
2019-02-27 11:26:17	ga_s2am_ard_3-2-1_51HXE_2019-02-27_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-03-15 11:46:50	ga_s2am_ard_3-2-1_50HQH_2019-03-15_final
2019-03-19 11:22:58	ga_s2am_ard_3-2-1_51KXU_2019-03-19_final
2019-03-22 11:33:14	ga_s2am_ard_3-2-1_51KVT_2019-03-22_final
2019-05-01 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-05-01_final
2019-05-11 11:33:38	ga_s2am_ard_3-2-1_51KUS_2019-05-11_final
2019-07-07 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2019-07-07_final
2019-07-17 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2019-07-17_final
2019-07-20 11:33:39	ga_s2am_ard_3-2-1_51KUS_2019-07-20_final
2019-07-26 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-26_final.stac-item
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2019-08-01_final.stac-item
2019-08-22 11:43:46	ga_s2am_ard_3-2-1_51KUR_2019-08-22_final
2019-10-15 11:23:28	ga_s2am_ard_3-2-1_51KYS_2019-10-15_final
2019-10-27 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-10-27_final
2019-11-23 11:53:31	ga_s2am_ard_3-2-1_50KMC_2019-11-23_final
2019-12-07 11:32:30	ga_s2am_ard_3-2-1_51KVA_2019-12-07_final
2020-06-14 11:34:54	ga_s2am_ard_3-2-1_51JVL_2020-06-14_final
2020-06-17 11:42:52	ga_s2am_ard_3-2-1_51KUV_2020-06-17_final
2020-08-06 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-08-06_final
2020-09-12 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-09-12_final
2020-09-19 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2020-09-19_final
2020-09-25 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-09-25_final
2020-10-02 11:33:04	ga_s2am_ard_3-2-1_51KWU_2020-10-02_final
2020-10-02 11:33:51	ga_s2am_ard_3-2-1_51KUR_2020-10-02_final
2020-10-12 11:32:06	ga_s2am_ard_3-2-1_51LWC_2020-10-12_final
2020-10-12 11:33:36	ga_s2am_ard_3-2-1_51KVS_2020-10-12_final
2021-01-13 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-01-13_final
2021-03-17 11:53:30	ga_s2am_ard_3-2-1_50KMC_2021-03-17_final
2021-03-28 11:23:41	ga_s2am_ard_3-2-1_51KXR_2021-03-28_final
2021-03-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2021-03-30_final
2021-04-20 11:34:00	ga_s2am_ard_3-2-1_51KXP_2021-04-20_final
2021-04-30 11:33:20	ga_s2am_ard_3-2-1_51KUT_2021-04-30_final
2021-06-15 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-06-15_final
2021-10-04 11:23:33	ga_s2am_ard_3-2-1_51KXS_2021-10-04_final
2021-10-27 11:32:42	ga_s2am_ard_3-2-1_51KYV_2021-10-27_final
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final
2021-12-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-12-18_final
2022-01-19 11:14:24	ga_s2am_ard_3-2-1_52JBT_2022-01-19_final
2022-02-20 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-02-20_final
2022-05-25 11:34:07	ga_s2am_ard_3-2-1_51KVQ_2022-05-25_final
2022-06-04 11:34:11	ga_s2am_ard_3-2-1_51KUQ_2022-06-04_final
2022-07-04 11:34:16	ga_s2am_ard_3-2-1_51KUQ_2022-07-04_final
2022-07-11 11:24:14	ga_s2am_ard_3-2-1_51KWQ_2022-07-11_final
2022-07-14 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-07-14_final
2022-08-13 11:33:36	ga_s2am_ard_3-2-1_51KXS_2022-08-13_final
2022-08-23 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-08-23_final.stac-item
2022-10-02 11:33:05	ga_s2am_ard_3-2-1_51KWU_2022-10-02_final.stac-item
2022-12-22 11:05:56	ga_s2am_ard_3-2-1_52JBM_2022-12-22_final.stac-item
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final.stac-item
2023-03-28 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-03-28_final.stac-item
2023-04-10 11:32:55	ga_s2am_ard_3-2-1_51KXU_2023-04-10_final.stac-item
2023-04-16 11:54:11	ga_s2am_ard_3-2-1_50KMV_2023-04-16_final.stac-item
2023-04-30 11:33:34	ga_s2am_ard_3-2-1_51KUS_2023-04-30_final.stac-item
2023-05-10 11:33:47	ga_s2am_ard_3-2-1_51KUR_2023-05-10_final.stac-item
2023-05-20 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final.stac-item
2023-06-06 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2023-06-06_final.stac-item
2023-07-02 11:43:19	ga_s2am_ard_3-2-1_51KUT_2023-07-02_final.stac-item
2023-07-06 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2023-07-06_final.stac-item
2023-07-13 11:16:52	ga_s2am_ard_3-2-1_51HWD_2023-07-13_final.stac-item
2023-07-15 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-15_final.stac-item
2023-08-08 11:32:59	ga_s2am_ard_3-2-1_51KXU_2023-08-08_final.stac-item
2023-08-18 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2023-08-18_final.stac-item
2023-09-27 11:33:36	ga_s2am_ard_3-2-1_51KUS_2023-09-27_final.stac-item
2023-10-24 11:22:27	ga_s2am_ard_3-2-1_51KYA_2023-10-24_final.stac-item
2023-12-05 12:03:45	ga_s2am_ard_3-2-1_50KMA_2023-12-05_final.stac-item
2023-12-06 11:32:30	ga_s2am_ard_3-2-1_51KYV_2023-12-06_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2024-03-21 11:56:45	ga_s2am_ard_3-2-1_50HLK_2024-03-21_final.stac-item
2024-03-22 11:23:01	ga_s2am_ard_3-2-1_51KXU_2024-03-22_final.stac-item
2024-04-26 12:13:56	ga_s2am_ard_3-2-1_50KKA_2024-04-26_final.stac-item
2024-04-30 11:56:01	ga_s2am_ard_3-2-1_50JLN_2024-04-30_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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