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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KFR_2015-10-01_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYM_2015-11-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNL_2016-01-20_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50JLL_2016-04-22_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HNH_2016-05-09_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JML_2016-07-21_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPK_2016-07-28_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JNM_2016-10-09_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKM_2016-11-11_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HVD_2016-12-29_final.stac-item
2017-01-08 11:26:18	ga_s2am_ard_3-2-1_51HUC_2017-01-08_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KRA_2017-01-14_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQK_2017-01-31_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JKP_2017-02-26_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HXD_2017-03-19_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXG_2017-03-19_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JQM_2017-04-14_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KUT_2017-05-24_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JNL_2017-07-06_final
2017-08-29 11:36:08	ga_s2am_ard_3-2-1_50JQL_2017-08-29_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JGL_2017-10-20_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPJ_2017-12-17_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JFM_2017-12-19_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUR_2018-02-18_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KKA_2018-04-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JUM_2018-05-26_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JNN_2018-06-18_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51HTD_2018-08-14_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51HUC_2018-08-24_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HMH_2018-09-26_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51JXH_2018-09-27_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMJ_2018-10-06_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51HWE_2018-10-27_final
2019-03-05 11:45:27	ga_s2am_ard_3-2-1_50JQP_2019-03-05_final
2019-07-26 11:56:41	ga_s2am_ard_3-2-1_50HMK_2019-07-26_final
2019-08-01 12:13:44	ga_s2am_ard_3-2-1_50KKB_2019-08-01_final
2019-09-25 11:26:48	ga_s2am_ard_3-2-1_51HUD_2019-09-25_final
2020-01-06 11:37:15	ga_s2am_ard_3-2-1_50HPG_2020-01-06_final.stac-item
2020-02-08 11:45:28	ga_s2am_ard_3-2-1_50JPP_2020-02-08_final
2020-02-19 11:15:33	ga_s2am_ard_3-2-1_51JYH_2020-02-19_final
2020-04-24 12:04:08	ga_s2am_ard_3-2-1_50KKV_2020-04-24_final.stac-item
2020-05-08 11:46:23	ga_s2am_ard_3-2-1_50JPL_2020-05-08_final
2020-05-15 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-05-15_final
2020-07-03 12:04:11	ga_s2am_ard_3-2-1_50KKV_2020-07-03_final
2020-07-16 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-16_final
2020-10-08 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-10-08_final
2020-10-14 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-10-14_final
2020-11-25 11:16:38	ga_s2am_ard_3-2-1_51HYD_2020-11-25_final
2020-12-10 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-12-10_final
2021-02-02 11:43:43	ga_s2am_ard_3-2-1_51KUR_2021-02-02_final
2021-02-12 11:43:35	ga_s2am_ard_3-2-1_50KQB_2021-02-12_final
2021-03-20 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-03-20_final
2021-04-09 12:04:27	ga_s2am_ard_3-2-1_49KGP_2021-04-09_final
2021-04-13 11:45:01	ga_s2am_ard_3-2-1_50JPR_2021-04-13_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-05-03 11:45:05	ga_s2am_ard_3-2-1_50JPR_2021-05-03_final
2021-05-03 11:47:12	ga_s2am_ard_3-2-1_50HLH_2021-05-03_final
2021-05-24 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-05-24_final
2021-05-24 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-05-24_final
2021-05-29 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-05-29_final
2021-07-12 11:46:33	ga_s2am_ard_3-2-1_50HQK_2021-07-12_final
2021-07-13 11:15:13	ga_s2am_ard_3-2-1_51JYK_2021-07-13_final
2021-09-16 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-09-16_final
2021-11-22 11:54:13	ga_s2am_ard_3-2-1_50KQU_2021-11-22_final
2021-11-23 11:26:44	ga_s2am_ard_3-2-1_51HVD_2021-11-23_final
2021-12-23 11:24:33	ga_s2am_ard_3-2-1_51JZM_2021-12-23_final
2022-03-15 12:05:44	ga_s2am_ard_3-2-1_50JLP_2022-03-15_final
2022-03-20 11:16:40	ga_s2am_ard_3-2-1_51HYD_2022-03-20_final
2022-03-25 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2022-03-25_final
2022-03-28 12:14:21	ga_s2am_ard_3-2-1_49KGQ_2022-03-28_final
2022-04-01 11:54:13	ga_s2am_ard_3-2-1_50KMV_2022-04-01_final
2022-04-11 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-04-11_final
2022-04-19 11:16:45	ga_s2am_ard_3-2-1_51HXD_2022-04-19_final
2022-05-18 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2022-05-18_final
2022-05-31 11:54:27	ga_s2am_ard_3-2-1_50KPU_2022-05-31_final
2022-06-10 11:56:49	ga_s2am_ard_3-2-1_50HLK_2022-06-10_final
2022-07-11 11:24:50	ga_s2am_ard_3-2-1_51JYM_2022-07-11_final
2022-07-17 11:47:04	ga_s2am_ard_3-2-1_50HNJ_2022-07-17_final
2022-07-17 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-07-17_final
2022-09-05 11:46:12	ga_s2am_ard_3-2-1_50JQM_2022-09-05_final.stac-item
2022-09-05 11:46:17	ga_s2am_ard_3-2-1_50JPM_2022-09-05_final.stac-item
2022-11-03 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-11-03_final.stac-item
2022-11-24 11:47:06	ga_s2am_ard_3-2-1_50HNH_2022-11-24_final.stac-item
2022-11-25 11:16:22	ga_s2am_ard_3-2-1_51HYE_2022-11-25_final.stac-item
2023-01-19 12:06:05	ga_s2am_ard_3-2-1_50JKM_2023-01-19_final.stac-item
2023-01-23 13:21:41	ga_s2am_ard_3-2-1_46LHM_2023-01-23_interim.stac-item
2023-03-24 11:45:38	ga_s2am_ard_3-2-1_50JNP_2023-03-24_final.stac-item
2023-05-23 11:46:26	ga_s2am_ard_3-2-1_50JNL_2023-05-23_final.stac-item
2023-08-02 11:16:42	ga_s2am_ard_3-2-1_51HYD_2023-08-02_final.stac-item
2023-08-11 11:46:20	ga_s2am_ard_3-2-1_50JMM_2023-08-11_final.stac-item
2023-08-14 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-08-14_nrt.stac-item
2023-11-10 11:16:36	ga_s2am_ard_3-2-1_51HYD_2023-11-10_final.stac-item
2023-11-12 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-11-12_final.stac-item
2023-11-26 11:36:22	ga_s2am_ard_3-2-1_51HUE_2023-11-26_final.stac-item
2024-01-11 11:55:15	ga_s2am_ard_3-2-1_50JNQ_2024-01-11_final.stac-item
2024-03-04 12:03:20	ga_s2am_ard_3-2-1_50KNC_2024-03-04_final.stac-item
2024-03-12 11:24:41	ga_s2am_ard_3-2-1_51JXM_2024-03-12_final.stac-item
2024-04-11 11:25:06	ga_s2am_ard_3-2-1_51JYK_2024-04-11_final.stac-item
2024-04-17 11:44:34	ga_s2am_ard_3-2-1_51JTN_2024-04-17_final.stac-item
2024-05-04 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-05-04_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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