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 12:09:42	ga_s2am_ard_3-2-1_49KGR_2015-10-21_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JGL_2015-11-27_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51HXE_2015-12-05_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KUQ_2015-12-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLR_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQL_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXG_2015-12-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JYG_2015-12-25_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGQ_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNL_2016-01-03_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLR_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JTJ_2016-01-20_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXJ_2016-01-24_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HUC_2016-02-06_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGN_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHP_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_50KKV_2016-02-08_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMS_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTF_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JPP_2016-04-02_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JXN_2016-04-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPJ_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KUR_2016-04-19_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JYJ_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JTH_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JWK_2016-05-16_final.stac-item
2016-06-02 11:26:14	ga_s2am_ard_3-2-1_51JXF_2016-06-02_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HVE_2016-06-05_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-06-17_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGM_2016-09-05_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KPF_2016-11-28_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUQ_2016-12-12_final
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51JYN_2016-12-16_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGN_2016-12-24_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXJ_2017-01-18_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HQH_2017-01-24_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KLA_2017-03-01_final
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51JXF_2017-03-09_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGJ_2017-03-11_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KQG_2017-04-27_final.stac-item
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51HUE_2017-05-08_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51HVE_2017-05-08_final
2017-05-23 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-23_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KUR_2017-12-10_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-09-29_final.stac-item
2019-01-24 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-01-24_final
2019-01-28 11:26:55	ga_s2am_ard_3-2-1_51HVC_2019-01-28_final
2019-02-09 12:03:23	ga_s2am_ard_3-2-1_50KLC_2019-02-09_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KNA_2019-02-09_final
2019-02-19 12:03:40	ga_s2am_ard_3-2-1_50KNA_2019-02-19_final
2019-03-02 11:37:02	ga_s2am_ard_3-2-1_50HPH_2019-03-02_final
2019-04-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-04-03_final
2019-04-04 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2019-04-04_final
2019-06-16 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-06-16_final.stac-item
2019-07-26 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-26_final.stac-item
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-12-07 11:34:00	ga_s2am_ard_3-2-1_51KUQ_2019-12-07_final
2020-04-11 11:52:18	ga_s2am_ard_3-2-1_50KQG_2020-04-11_final.stac-item
2020-05-12 11:26:45	ga_s2am_ard_3-2-1_51HWD_2020-05-12_final
2020-06-20 11:52:26	ga_s2am_ard_3-2-1_50KQG_2020-06-20_final.stac-item
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-08-15 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-08-15_final
2020-09-02 11:33:53	ga_s2am_ard_3-2-1_51KUR_2020-09-02_final
2020-09-15 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-09-15_final
2020-09-19 11:25:57	ga_s2am_ard_3-2-1_51JXG_2020-09-19_final
2020-10-04 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-04_final
2020-10-05 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-10-05_final
2021-07-25 11:52:23	ga_s2am_ard_3-2-1_50KQG_2021-07-25_final.stac-item
2021-08-31 11:47:04	ga_s2am_ard_3-2-1_50HPH_2021-08-31_final
2021-10-13 11:52:25	ga_s2am_ard_3-2-1_50KQG_2021-10-13_final.stac-item
2021-12-03 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-12-03_final
2021-12-16 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-16_final.stac-item
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final
2022-05-01 11:57:29	ga_s2am_ard_3-2-1_50HLG_2022-05-01_final.stac-item
2022-06-01 11:27:09	ga_s2am_ard_3-2-1_51HUC_2022-06-01_final
2022-06-23 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-06-23_final
2022-08-13 11:36:54	ga_s2am_ard_3-2-1_50HPK_2022-08-13_final
2022-12-11 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-12-11_final.stac-item
2022-12-11 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2022-12-11_final.stac-item
2022-12-30 12:06:03	ga_s2am_ard_3-2-1_50JLM_2022-12-30_final.stac-item
2023-01-09 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-01-09_final.stac-item
2023-02-15 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-15_final.stac-item
2023-07-28 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-07-28_final.stac-item
2023-08-24 11:56:28	ga_s2am_ard_3-2-1_50JML_2023-08-24_final.stac-item
2023-08-24 11:56:32	ga_s2am_ard_3-2-1_50JLL_2023-08-24_final.stac-item
2023-08-24 11:56:36	ga_s2am_ard_3-2-1_50HNK_2023-08-24_final.stac-item
2023-09-04 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-09-04_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_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
2023-12-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2023-12-16_final.stac-item
2024-02-10 11:52:34	ga_s2am_ard_3-2-1_50KPF_2024-02-10_final.stac-item
2024-02-17 11:46:51	ga_s2am_ard_3-2-1_50HQH_2024-02-17_final.stac-item
2024-04-03 12:03:18	ga_s2am_ard_3-2-1_50KNC_2024-04-03_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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