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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMM_2015-12-04_final.stac-item
2015-12-04 11:57:46	ga_s2am_ard_3-2-1_50LQK_2015-12-04_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HPH_2016-01-20_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLR_2016-06-04_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPJ_2016-07-08_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KWU_2016-08-04_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-10-12_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JYJ_2016-11-16_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQK_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51JTJ_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51JTN_2017-01-14_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWT_2017-02-10_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2017-07-29_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KLU_2017-09-07_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JNL_2017-09-24_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JVG_2017-11-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNS_2017-12-03_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVJ_2017-12-04_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYK_2018-01-13_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXR_2018-02-02_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JQM_2018-03-27_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51HUD_2018-03-27_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLN_2018-06-04_final
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KWT_2018-07-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTN_2018-08-04_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKM_2018-08-10_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51HUD_2018-10-13_final
2018-11-19 11:26:11	ga_s2am_ard_3-2-1_51JUF_2018-11-19_final
2018-11-25 11:42:01	ga_s2am_ard_3-2-1_51KWB_2018-11-25_final
2019-02-04 11:15:39	ga_s2am_ard_3-2-1_51JXH_2019-02-04_final
2019-03-02 11:34:32	ga_s2am_ard_3-2-1_50JRT_2019-03-02_final
2019-03-21 12:04:40	ga_s2am_ard_3-2-1_50JKT_2019-03-21_final
2019-03-25 11:43:32	ga_s2am_ard_3-2-1_50KRB_2019-03-25_final
2019-04-04 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-04-04_final
2019-05-20 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-05-20_final
2019-06-13 11:46:22	ga_s2am_ard_3-2-1_50JPL_2019-06-13_final
2019-06-26 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2019-06-26_final
2019-08-05 11:56:26	ga_s2am_ard_3-2-1_50JML_2019-08-05_final
2019-08-08 12:03:31	ga_s2am_ard_3-2-1_50KLC_2019-08-08_final
2019-11-03 11:53:20	ga_s2am_ard_3-2-1_50KQC_2019-11-03_final
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_51JTN_2019-11-20_final
2019-11-27 11:33:38	ga_s2am_ard_3-2-1_51KXR_2019-11-27_final
2020-01-03 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2020-01-03_final
2020-01-16 11:33:59	ga_s2am_ard_3-2-1_51KXP_2020-01-16_final
2020-02-29 11:16:36	ga_s2am_ard_3-2-1_51HXD_2020-02-29_final
2020-03-03 11:23:09	ga_s2am_ard_3-2-1_51KXT_2020-03-03_final
2020-03-13 11:26:43	ga_s2am_ard_3-2-1_51HUD_2020-03-13_final
2020-03-19 11:43:58	ga_s2am_ard_3-2-1_50KRV_2020-03-19_final
2020-03-23 11:25:38	ga_s2am_ard_3-2-1_51JWH_2020-03-23_final
2020-04-25 11:35:43	ga_s2am_ard_3-2-1_51JVH_2020-04-25_final
2020-05-12 11:24:19	ga_s2am_ard_3-2-1_51KWP_2020-05-12_final
2020-05-12 11:26:45	ga_s2am_ard_3-2-1_51HWD_2020-05-12_final
2020-07-04 11:34:10	ga_s2am_ard_3-2-1_51KXP_2020-07-04_final
2020-07-07 11:46:17	ga_s2am_ard_3-2-1_50JMM_2020-07-07_final
2020-08-16 11:44:58	ga_s2am_ard_3-2-1_50JPS_2020-08-16_final
2020-11-11 11:36:47	ga_s2am_ard_3-2-1_51HUD_2020-11-11_final
2020-11-14 11:46:37	ga_s2am_ard_3-2-1_50HPK_2020-11-14_final
2020-12-11 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2020-12-11_final
2020-12-11 11:36:14	ga_s2am_ard_3-2-1_51JTF_2020-12-11_final
2021-03-01 11:35:37	ga_s2am_ard_3-2-1_50JQP_2021-03-01_final
2021-04-27 11:25:10	ga_s2am_ard_3-2-1_51JWK_2021-04-27_final
2021-05-24 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-05-24_final
2021-07-13 11:16:33	ga_s2am_ard_3-2-1_51HWE_2021-07-13_final
2021-07-19 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-07-19_final
2021-09-10 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-09-10_final
2021-10-11 11:16:42	ga_s2am_ard_3-2-1_51HYD_2021-10-11_final
2021-11-19 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-19_final
2021-11-23 11:26:47	ga_s2am_ard_3-2-1_51HUD_2021-11-23_final
2021-12-23 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-12-23_final
2022-01-15 11:33:02	ga_s2am_ard_3-2-1_51KVU_2022-01-15_final
2022-02-13 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-02-13_final
2022-03-16 11:34:09	ga_s2am_ard_3-2-1_51KXP_2022-03-16_final
2022-04-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-04-04_final
2022-04-05 11:36:44	ga_s2am_ard_3-2-1_51HUD_2022-04-05_final
2022-05-29 11:16:38	ga_s2am_ard_3-2-1_51HWE_2022-05-29_final
2022-06-01 11:24:02	ga_s2am_ard_3-2-1_51KYQ_2022-06-01_final
2022-09-09 11:24:48	ga_s2am_ard_3-2-1_51JYM_2022-09-09_final.stac-item
2022-09-26 12:51:06	ga_s2am_ard_3-2-1_48LXP_2022-09-26_interim.stac-item
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-10-12 11:36:34	ga_s2am_ard_3-2-1_51HUE_2022-10-12_final.stac-item
2022-11-27 13:31:34	ga_s2am_ard_3-2-1_46LHN_2022-11-27_interim.stac-item
2022-12-17 13:31:39	ga_s2am_ard_3-2-1_46LHM_2022-12-17_interim.stac-item
2022-12-28 11:22:59	ga_s2am_ard_3-2-1_51KXU_2022-12-28_final.stac-item
2023-01-30 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-01-30_final.stac-item
2023-02-08 12:04:24	ga_s2am_ard_3-2-1_50KLU_2023-02-08_final.stac-item
2023-03-24 11:45:10	ga_s2am_ard_3-2-1_50JNR_2023-03-24_final.stac-item
2023-06-18 12:03:37	ga_s2am_ard_3-2-1_50KNB_2023-06-18_final.stac-item
2023-06-18 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-18_final.stac-item
2023-06-19 11:34:36	ga_s2am_ard_3-2-1_51JUN_2023-06-19_final.stac-item
2023-06-26 11:26:03	ga_s2am_ard_3-2-1_51JVG_2023-06-26_final.stac-item
2023-10-27 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-10-27_final.stac-item
2023-12-29 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2023-12-29_final.stac-item
2024-02-14 11:33:32	ga_s2am_ard_3-2-1_51KUS_2024-02-14_final.stac-item
2024-02-28 11:16:07	ga_s2am_ard_3-2-1_51JYF_2024-02-28_final.stac-item
2024-03-05 11:33:24	ga_s2am_ard_3-2-1_51KXS_2024-03-05_final.stac-item
2024-03-08 11:44:45	ga_s2am_ard_3-2-1_50JPT_2024-03-08_final.stac-item
2024-03-15 11:36:42	ga_s2am_ard_3-2-1_51HUD_2024-03-15_final.stac-item
2024-03-22 11:26:37	ga_s2am_ard_3-2-1_51HXD_2024-03-22_final.stac-item
2024-05-23 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2024-05-23_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

Other products

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