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
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53JPM_2016-01-29_final.stac-item
2016-04-11 10:43:06	ga_s2am_ard_3-2-1_53JPM_2016-04-11_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KEB_2016-05-30_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HVC_2016-06-12_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JZM_2016-07-09_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53HMD_2016-07-27_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HMJ_2016-08-17_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HWD_2016-08-18_final.stac-item
2016-11-26 11:10:57	ga_s2am_ard_3-2-1_52LGL_2016-11-26_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNG_2016-12-14_final
2016-12-27 10:38:37	ga_s2am_ard_3-2-1_53KPQ_2016-12-27_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KDV_2017-01-02_final.stac-item
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JGM_2017-01-09_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGL_2017-01-30_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HPJ_2017-01-31_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HQH_2017-05-24_final
2017-06-01 10:57:18	ga_s2am_ard_3-2-1_53KKT_2017-06-01_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KLV_2017-09-07_final
2017-10-12 11:12:00	ga_s2am_ard_3-2-1_51KZS_2017-10-12_final
2017-12-05 10:53:10	ga_s2am_ard_3-2-1_52JEM_2017-12-05_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KHA_2017-12-18_final
2018-01-04 10:52:09	ga_s2am_ard_3-2-1_52KHE_2018-01-04_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KXS_2018-02-02_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KEC_2018-02-16_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52KHF_2018-03-08_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KCU_2018-03-11_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_53HQB_2018-04-15_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKN_2018-05-25_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYH_2018-06-19_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWT_2018-07-05_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-08-03_final
2018-10-11 10:47:22	ga_s2am_ard_3-2-1_53KKT_2018-10-11_final
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53JNN_2018-10-15_final
2018-11-11 12:04:55	ga_s2am_ard_3-2-1_49JGM_2018-11-11_final
2018-12-22 11:31:52	ga_s2am_ard_3-2-1_51LWC_2018-12-22_final
2019-01-21 11:32:25	ga_s2am_ard_3-2-1_51KWA_2019-01-21_final
2019-01-25 11:11:30	ga_s2am_ard_3-2-1_52LEJ_2019-01-25_final
2019-02-20 11:32:36	ga_s2am_ard_3-2-1_51KXV_2019-02-20_final
2019-04-23 10:34:39	ga_s2am_ard_3-2-1_53JPL_2019-04-23_final
2019-06-23 11:45:11	ga_s2am_ard_3-2-1_50JPR_2019-06-23_final
2019-07-12 10:34:41	ga_s2am_ard_3-2-1_53JPL_2019-07-12_final
2019-12-14 11:22:19	ga_s2am_ard_3-2-1_51KZA_2019-12-14_final
2020-01-10 11:10:32	ga_s2am_ard_3-2-1_52LHM_2020-01-10_final
2020-01-10 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2020-01-10_final
2020-05-20 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-05-20_final
2020-05-26 11:03:15	ga_s2am_ard_3-2-1_52KHB_2020-05-26_final
2020-08-06 11:45:24	ga_s2am_ard_3-2-1_50JQQ_2020-08-06_final
2020-11-03 10:36:29	ga_s2am_ard_3-2-1_53HMD_2020-11-03_final
2020-12-11 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-12-11_final
2020-12-11 11:34:57	ga_s2am_ard_3-2-1_51JUL_2020-12-11_final
2021-01-24 11:12:43	ga_s2am_ard_3-2-1_52KED_2021-01-24_final
2021-02-02 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-02-02_final
2021-02-03 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-02-03_final
2021-02-04 10:45:11	ga_s2am_ard_3-2-1_53JLJ_2021-02-04_final
2021-02-13 11:11:11	ga_s2am_ard_3-2-1_52LGK_2021-02-13_final
2021-03-18 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-03-18_final
2021-04-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2021-04-26_final
2021-05-04 11:15:49	ga_s2am_ard_3-2-1_52JBM_2021-05-04_final
2021-05-08 10:55:45	ga_s2am_ard_3-2-1_52JFM_2021-05-08_final
2021-05-11 11:06:02	ga_s2am_ard_3-2-1_52JDL_2021-05-11_final
2021-06-14 10:46:06	ga_s2am_ard_3-2-1_53HME_2021-06-14_final
2021-06-18 10:24:19	ga_s2am_ard_3-2-1_53JRM_2021-06-18_final
2021-07-16 11:23:31	ga_s2am_ard_3-2-1_51KXS_2021-07-16_final
2021-09-17 11:31:41	ga_s2am_ard_3-2-1_51LYD_2021-09-17_final
2021-10-27 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2021-10-27_final
2021-11-02 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-11-02_final
2021-12-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-06_final
2021-12-24 10:52:32	ga_s2am_ard_3-2-1_52KHE_2021-12-24_final
2022-03-05 10:25:09	ga_s2am_ard_3-2-1_53JQJ_2022-03-05_final
2022-03-29 11:46:22	ga_s2am_ard_3-2-1_50JPL_2022-03-29_final
2022-06-01 11:22:49	ga_s2am_ard_3-2-1_51KYV_2022-06-01_final
2022-07-24 11:33:34	ga_s2am_ard_3-2-1_51KXS_2022-07-24_final
2022-08-04 11:03:45	ga_s2am_ard_3-2-1_52KEA_2022-08-04_final
2022-08-16 11:45:42	ga_s2am_ard_3-2-1_51JTJ_2022-08-16_final
2022-09-08 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-09-08_final.stac-item
2022-09-13 11:06:16	ga_s2am_ard_3-2-1_52JCL_2022-09-13_final.stac-item
2022-11-12 11:06:38	ga_s2am_ard_3-2-1_52HBJ_2022-11-12_final.stac-item
2022-11-22 11:04:51	ga_s2am_ard_3-2-1_52JDR_2022-11-22_final.stac-item
2022-11-24 11:42:09	ga_s2am_ard_3-2-1_51KWB_2022-11-24_final.stac-item
2022-12-12 11:06:24	ga_s2am_ard_3-2-1_52HBK_2022-12-12_final.stac-item
2022-12-29 10:54:20	ga_s2am_ard_3-2-1_52JFT_2022-12-29_final.stac-item
2023-01-04 11:12:02	ga_s2am_ard_3-2-1_52KEG_2023-01-04_final.stac-item
2023-01-10 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-01-10_final.stac-item
2023-01-26 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-01-26_nrt.stac-item
2023-01-28 10:55:54	ga_s2am_ard_3-2-1_52JFL_2023-01-28_final.stac-item
2023-01-29 10:25:18	ga_s2am_ard_3-2-1_53JQH_2023-01-29_final.stac-item
2023-02-15 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-02-15_final.stac-item
2023-03-31 11:36:15	ga_s2am_ard_3-2-1_51JTF_2023-03-31_final.stac-item
2023-04-04 11:13:54	ga_s2am_ard_3-2-1_52KBV_2023-04-04_final.stac-item
2023-04-13 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2023-04-13_final.stac-item
2023-07-09 11:33:29	ga_s2am_ard_3-2-1_51KXS_2023-07-09_final.stac-item
2023-11-01 10:45:46	ga_s2am_ard_3-2-1_52JGM_2023-11-01_final.stac-item
2023-11-08 10:34:07	ga_s2am_ard_3-2-1_53JPN_2023-11-08_final.stac-item
2023-12-18 10:33:43	ga_s2am_ard_3-2-1_53KQP_2023-12-18_final.stac-item
2024-01-29 11:14:18	ga_s2am_ard_3-2-1_51JZN_2024-01-29_final.stac-item
2024-02-19 10:43:06	ga_s2am_ard_3-2-1_53KNS_2024-02-19_final.stac-item
2024-03-12 11:21:39	ga_s2am_ard_3-2-1_52LBJ_2024-03-12_final.stac-item
2024-03-12 11:23:28	ga_s2am_ard_3-2-1_51KXS_2024-03-12_final.stac-item
2024-04-17 11:45:10	ga_s2am_ard_3-2-1_50JPR_2024-04-17_final.stac-item
2024-04-22 10:53:22	ga_s2am_ard_3-2-1_53KKS_2024-04-22_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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