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_51HUE_2015-09-19_final.stac-item
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HNH_2015-10-22_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNM_2015-12-04_final.stac-item
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51JUF_2015-12-05_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51JUF_2016-01-14_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KKB_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KRC_2016-01-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNH_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JPL_2016-05-09_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HNK_2016-05-12_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-29_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-06-18_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPG_2016-06-25_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HXD_2016-08-18_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JMQ_2016-10-09_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-25_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLJ_2016-10-29_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JXL_2017-06-27_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50HQK_2017-09-28_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUE_2017-10-05_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLN_2017-12-16_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KUT_2018-01-06_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_50KKV_2018-04-08_final
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQD_2018-04-22_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KUT_2018-06-05_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KUT_2018-06-18_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KPC_2018-09-19_final
2018-11-22 11:33:19	ga_s2am_ard_3-2-1_51KUS_2018-11-22_final
2018-12-11 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-11_final
2019-01-04 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-01-04_final.stac-item
2019-01-07 11:53:05	ga_s2am_ard_3-2-1_50KRC_2019-01-07_final
2019-02-03 11:43:01	ga_s2am_ard_3-2-1_50KRD_2019-02-03_final
2019-02-03 11:43:15	ga_s2am_ard_3-2-1_50KRC_2019-02-03_final
2019-04-14 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final
2019-05-01 11:36:32	ga_s2am_ard_3-2-1_51HUE_2019-05-01_final
2019-05-01 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-05-01_final
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final
2019-05-31 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-05-31_final
2019-07-10 11:37:02	ga_s2am_ard_3-2-1_51HUC_2019-07-10_final
2019-08-08 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-08-08_final
2019-09-18 11:33:22	ga_s2am_ard_3-2-1_51KUT_2019-09-18_final
2019-10-14 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-14_final
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2019-12-06 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-12-06_final
2019-12-06 12:05:27	ga_s2am_ard_3-2-1_49JGK_2019-12-06_final
2020-01-29 11:43:03	ga_s2am_ard_3-2-1_51KUT_2020-01-29_final
2020-03-02 11:52:15	ga_s2am_ard_3-2-1_50KQG_2020-03-02_final.stac-item
2020-03-13 11:25:06	ga_s2am_ard_3-2-1_51JXK_2020-03-13_final
2020-03-15 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-03-15_final
2020-04-28 11:43:31	ga_s2am_ard_3-2-1_51KUS_2020-04-28_final
2020-06-20 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-20_final
2020-06-30 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-06-30_final
2020-08-10 11:26:38	ga_s2am_ard_3-2-1_51HUE_2020-08-10_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-09-02 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-09-02_final
2020-09-11 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-09-11_final
2020-10-09 11:26:42	ga_s2am_ard_3-2-1_51HXD_2020-10-09_final
2020-12-05 11:16:39	ga_s2am_ard_3-2-1_51HXD_2020-12-05_final
2020-12-21 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2020-12-21_final
2021-02-19 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-02-19_final
2021-04-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2021-04-02_final
2021-04-06 11:52:16	ga_s2am_ard_3-2-1_50KQG_2021-04-06_final.stac-item
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_50KKB_2021-04-19_final
2021-04-27 11:26:15	ga_s2am_ard_3-2-1_51JUF_2021-04-27_final
2021-05-19 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-05-19_final
2021-06-02 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-06-02_final
2021-06-02 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-06-02_final
2021-06-09 11:36:15	ga_s2am_ard_3-2-1_51JUF_2021-06-09_final
2021-07-29 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-07-29_final
2021-09-06 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-09-06_final
2021-09-27 11:36:32	ga_s2am_ard_3-2-1_51HUE_2021-09-27_final
2021-11-06 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-11-06_final
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final
2021-11-29 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-11-29_final
2022-01-05 11:34:19	ga_s2am_ard_3-2-1_51KUP_2022-01-05_final
2022-01-31 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-31_final
2022-04-01 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-04-01_final
2022-06-14 11:33:44	ga_s2am_ard_3-2-1_51KUS_2022-06-14_final
2022-09-15 11:46:10	ga_s2am_ard_3-2-1_50JQM_2022-09-15_final.stac-item
2022-09-26 11:16:27	ga_s2am_ard_3-2-1_51JWF_2022-09-26_final.stac-item
2022-10-29 11:24:55	ga_s2am_ard_3-2-1_51JYL_2022-10-29_final.stac-item
2022-11-05 11:14:45	ga_s2am_ard_3-2-1_51JYM_2022-11-05_final.stac-item
2023-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-02-05_final.stac-item
2023-04-13 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-04-13_final.stac-item
2023-07-19 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-07-19_final.stac-item
2023-10-17 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-10-17_final.stac-item
2023-10-19 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-19_final.stac-item
2023-10-27 11:36:46	ga_s2am_ard_3-2-1_51HTD_2023-10-27_final.stac-item
2023-11-15 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-11-15_final.stac-item
2023-12-09 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-09_final.stac-item
2023-12-16 11:35:49	ga_s2am_ard_3-2-1_51JVG_2023-12-16_final.stac-item
2024-01-05 11:33:30	ga_s2am_ard_3-2-1_51KUS_2024-01-05_final.stac-item
2024-01-08 11:43:09	ga_s2am_ard_3-2-1_51KTT_2024-01-08_final.stac-item
2024-02-10 11:53:21	ga_s2am_ard_3-2-1_50KNC_2024-02-10_final.stac-item
2024-03-08 11:47:07	ga_s2am_ard_3-2-1_50HNH_2024-03-08_final.stac-item
2024-03-18 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-18_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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