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
2015-09-19 11:36:06	ga_s2am_ard_3-2-1_51JUG_2015-09-19_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51JUG_2015-09-29_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLS_2015-11-27_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HWD_2015-12-25_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNP_2016-01-03_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXJ_2016-01-24_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51HWD_2016-01-24_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JQT_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2016-02-05_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51JWN_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JVJ_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JWL_2016-02-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLQ_2016-02-15_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JUM_2016-02-19_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHP_2016-03-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMT_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KMA_2016-03-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQA_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMT_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51JTJ_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JXG_2016-04-23_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_50KMV_2016-04-25_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-04-25_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLS_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51JUN_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXH_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQH_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JQM_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JTJ_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JTK_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JUG_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JWL_2016-05-16_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_51JUF_2016-08-14_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLR_2016-09-02_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPQ_2016-12-15_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JQM_2016-12-15_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JTH_2016-12-15_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JTJ_2016-12-15_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLS_2017-01-20_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JXH_2017-01-25_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JXJ_2017-01-25_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-22_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HXE_2017-02-27_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JXH_2017-02-27_final
2017-03-02 11:35:57	ga_s2am_ard_3-2-1_51JTF_2017-03-02_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51HWE_2017-05-08_final
2017-07-07 11:26:09	ga_s2am_ard_3-2-1_51JXF_2017-07-07_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JLS_2017-07-19_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51JTG_2017-09-18_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JMS_2017-10-27_final
2019-01-21 11:35:41	ga_s2am_ard_3-2-1_51JUH_2019-01-21_final
2019-01-21 11:35:56	ga_s2am_ard_3-2-1_51JUG_2019-01-21_final
2019-01-31 11:35:42	ga_s2am_ard_3-2-1_51JUH_2019-01-31_final
2019-01-31 11:35:56	ga_s2am_ard_3-2-1_51JUG_2019-01-31_final
2019-02-19 12:04:45	ga_s2am_ard_3-2-1_50JMS_2019-02-19_final
2019-03-02 11:35:25	ga_s2am_ard_3-2-1_51JUJ_2019-03-02_final
2019-05-08 11:26:11	ga_s2am_ard_3-2-1_51JXF_2019-05-08_final
2019-05-18 11:26:11	ga_s2am_ard_3-2-1_51JXF_2019-05-18_final
2019-05-27 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-05-27_final.stac-item
2020-02-11 11:52:30	ga_s2am_ard_3-2-1_50KPF_2020-02-11_final.stac-item
2020-07-26 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-07-26_final
2020-09-01 12:03:57	ga_s2am_ard_3-2-1_50KMA_2020-09-01_final
2020-09-01 12:04:11	ga_s2am_ard_3-2-1_50KMV_2020-09-01_final
2020-09-05 11:44:55	ga_s2am_ard_3-2-1_51JUL_2020-09-05_final
2020-09-05 11:46:05	ga_s2am_ard_3-2-1_50JQM_2020-09-05_final
2020-09-09 11:26:44	ga_s2am_ard_3-2-1_51HWD_2020-09-09_final
2020-09-18 11:55:20	ga_s2am_ard_3-2-1_50JPQ_2020-09-18_final
2020-09-22 11:35:13	ga_s2am_ard_3-2-1_51JWK_2020-09-22_final
2020-09-22 11:35:21	ga_s2am_ard_3-2-1_51JUK_2020-09-22_final
2020-09-25 11:44:56	ga_s2am_ard_3-2-1_51JUL_2020-09-25_final
2020-09-26 11:16:02	ga_s2am_ard_3-2-1_51JXG_2020-09-26_final
2020-09-28 11:53:50	ga_s2am_ard_3-2-1_50KPB_2020-09-28_final
2020-09-28 11:53:50	ga_s2am_ard_3-2-1_50KPA_2020-09-28_final
2020-09-29 11:25:58	ga_s2am_ard_3-2-1_51JXG_2020-09-29_final
2020-10-02 11:35:36	ga_s2am_ard_3-2-1_51JUJ_2020-10-02_final
2020-10-05 11:44:57	ga_s2am_ard_3-2-1_51JUL_2020-10-05_final
2021-08-25 11:25:55	ga_s2am_ard_3-2-1_51JXG_2021-08-25_final
2021-08-25 11:26:09	ga_s2am_ard_3-2-1_51JXF_2021-08-25_final
2022-01-02 11:25:54	ga_s2am_ard_3-2-1_51JXG_2022-01-02_final
2022-04-19 11:17:03	ga_s2am_ard_3-2-1_51HWC_2022-04-19_final.stac-item
2022-05-19 11:16:03	ga_s2am_ard_3-2-1_51JXG_2022-05-19_final
2022-06-28 11:16:32	ga_s2am_ard_3-2-1_51JWF_2022-06-28_final
2022-08-27 11:16:21	ga_s2am_ard_3-2-1_51JXF_2022-08-27_final
2022-10-19 11:27:10	ga_s2am_ard_3-2-1_51HTC_2022-10-19_final.stac-item
2023-01-04 11:15:56	ga_s2am_ard_3-2-1_51JXG_2023-01-04_final.stac-item
2023-01-13 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-01-13_final.stac-item
2023-12-19 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-12-19_final.stac-item
2023-12-20 11:15:53	ga_s2am_ard_3-2-1_51JXG_2023-12-20_final.stac-item
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final.stac-item
2024-01-31 11:52:33	ga_s2am_ard_3-2-1_50KPF_2024-01-31_final.stac-item
2024-02-21 11:26:12	ga_s2am_ard_3-2-1_51JXF_2024-02-21_final.stac-item
2024-02-21 11:26:20	ga_s2am_ard_3-2-1_51HXE_2024-02-21_final.stac-item
2024-02-28 11:15:57	ga_s2am_ard_3-2-1_51JXG_2024-02-28_final.stac-item
2024-03-02 11:25:53	ga_s2am_ard_3-2-1_51JXG_2024-03-02_final.stac-item
2024-03-02 11:26:15	ga_s2am_ard_3-2-1_51JXF_2024-03-02_final.stac-item
2024-03-28 11:46:53	ga_s2am_ard_3-2-1_50HQH_2024-03-28_final.stac-item
2024-04-11 11:26:08	ga_s2am_ard_3-2-1_51JXF_2024-04-11_final.stac-item
2024-04-27 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-04-27_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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