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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_50JPL_2015-09-09_final.stac-item
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_51HUE_2015-09-09_final.stac-item
2015-09-11 12:13:46	ga_s2am_ard_3-2-1_50KKV_2015-09-11_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_50HQK_2015-09-29_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_50JPL_2015-09-29_final.stac-item
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HMK_2015-10-05_final.stac-item
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JTF_2015-11-18_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHQ_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHS_2016-01-16_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HWB_2016-02-10_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKU_2016-04-15_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_51JTF_2016-04-16_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HVE_2016-04-23_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHS_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JMT_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KQA_2016-05-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-06-14_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JHM_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLS_2016-09-02_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKT_2016-10-12_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51HUE_2016-10-13_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMJ_2016-11-15_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51HVE_2017-04-08_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-03_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50JPL_2017-09-18_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50JQL_2017-09-18_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPJ_2017-09-28_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLH_2017-12-23_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HYD_2018-02-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51HUC_2018-02-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKN_2018-05-05_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JQL_2018-08-17_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQG_2018-09-13_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPG_2018-09-23_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_50KKA_2018-09-25_final
2018-12-18 11:57:00	ga_s2am_ard_3-2-1_50HLH_2018-12-18_final
2019-01-17 11:53:27	ga_s2am_ard_3-2-1_50KMC_2019-01-17_final
2019-01-27 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-01-27_final
2019-02-03 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-02-03_final
2019-02-24 11:16:26	ga_s2am_ard_3-2-1_51HWE_2019-02-24_final
2019-03-01 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-01_final
2019-03-08 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-03-08_final
2019-04-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final
2019-05-27 11:54:07	ga_s2am_ard_3-2-1_50KPV_2019-05-27_final
2019-06-29 12:06:00	ga_s2am_ard_3-2-1_50JKN_2019-06-29_final
2019-09-18 11:36:42	ga_s2am_ard_3-2-1_51HUD_2019-09-18_final
2019-10-11 11:46:10	ga_s2am_ard_3-2-1_51JTF_2019-10-11_final
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final
2020-02-02 11:26:21	ga_s2am_ard_3-2-1_51HVE_2020-02-02_final
2020-02-08 11:45:10	ga_s2am_ard_3-2-1_50JQQ_2020-02-08_final
2020-02-09 11:16:51	ga_s2am_ard_3-2-1_51HWC_2020-02-09_final.stac-item
2020-04-08 11:47:07	ga_s2am_ard_3-2-1_50HMH_2020-04-08_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-06-06 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-06_final
2020-06-16 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-06-16_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2021-01-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-19_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-04-03 11:46:04	ga_s2am_ard_3-2-1_51JTF_2021-04-03_final
2021-08-31 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-08-31_final
2021-09-03 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-03_final
2021-09-20 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-09-20_final
2021-09-24 11:26:29	ga_s2am_ard_3-2-1_51HWE_2021-09-24_final
2021-09-26 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-09-26_final
2021-10-17 11:36:39	ga_s2am_ard_3-2-1_51HVD_2021-10-17_final
2021-11-13 11:27:00	ga_s2am_ard_3-2-1_51HVC_2021-11-13_final
2021-12-09 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-12-09_final
2022-01-07 12:13:56	ga_s2am_ard_3-2-1_50KKA_2022-01-07_final
2022-01-18 11:43:19	ga_s2am_ard_3-2-1_50KRC_2022-01-18_final
2022-06-01 11:27:15	ga_s2am_ard_3-2-1_51HTC_2022-06-01_final
2022-07-13 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-07-13_final
2022-09-11 12:05:33	ga_s2am_ard_3-2-1_50JLQ_2022-09-11_final.stac-item
2022-09-11 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-09-11_final.stac-item
2022-09-28 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-09-28_final.stac-item
2022-10-28 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-10-28_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2023-01-03 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-01-03_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-01-29 12:04:29	ga_s2am_ard_3-2-1_49KGP_2023-01-29_final.stac-item
2023-02-18 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-02-18_final.stac-item
2023-04-03 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-04-03_final.stac-item
2023-04-29 12:03:20	ga_s2am_ard_3-2-1_50KNC_2023-04-29_final.stac-item
2023-06-15 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-06-15_final.stac-item
2023-06-16 11:26:30	ga_s2am_ard_3-2-1_51HWE_2023-06-16_final.stac-item
2023-06-19 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-06-19_final.stac-item
2023-07-26 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-26_final.stac-item
2023-09-07 11:36:39	ga_s2am_ard_3-2-1_50HQK_2023-09-07_final.stac-item
2023-09-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-09-07_final.stac-item
2023-09-30 11:46:09	ga_s2am_ard_3-2-1_51JTF_2023-09-30_final.stac-item
2023-09-30 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2023-09-30_final.stac-item
2023-10-04 11:26:31	ga_s2am_ard_3-2-1_51HVE_2023-10-04_final.stac-item
2023-10-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2023-10-06_final.stac-item
2023-10-13 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-10-13_final.stac-item
2024-03-18 11:46:30	ga_s2am_ard_3-2-1_50HQK_2024-03-18_final.stac-item
2024-04-23 12:05:44	ga_s2am_ard_3-2-1_50JKP_2024-04-23_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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