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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JQN_2016-01-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JXH_2016-03-24_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52HBK_2016-05-10_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVQ_2016-06-05_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KNC_2016-08-23_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_53JKG_2016-09-01_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGN_2016-09-02_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_52LEJ_2016-09-07_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51LZC_2016-11-22_final.stac-item
2016-11-26 11:10:57	ga_s2am_ard_3-2-1_52KEA_2016-11-26_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52KHD_2016-12-03_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXQ_2016-12-09_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVF_2016-12-12_final
2016-12-31 10:25:21	ga_s2am_ard_3-2-1_53HQA_2016-12-31_final
2017-01-20 10:24:01	ga_s2am_ard_3-2-1_53HNC_2017-01-20_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPK_2017-05-04_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JMM_2017-07-23_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMR_2017-12-03_final
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_51KZB_2017-12-04_final
2018-01-20 11:07:06	ga_s2am_ard_3-2-1_52LFM_2018-01-20_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_52JBR_2018-02-02_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_52KCC_2018-03-14_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52JBS_2018-04-20_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JFM_2018-05-08_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JER_2018-07-26_final
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_51HWD_2018-09-07_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JUH_2018-10-03_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-10-25_final
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-01-30_final
2019-02-11 11:02:00	ga_s2am_ard_3-2-1_52KFG_2019-02-11_final
2019-03-17 10:45:28	ga_s2am_ard_3-2-1_53JNG_2019-03-17_final
2019-04-26 10:46:27	ga_s2am_ard_3-2-1_53HLD_2019-04-26_final
2019-04-30 10:26:50	ga_s2am_ard_3-2-1_53HQB_2019-04-30_final
2019-06-01 11:04:46	ga_s2am_ard_3-2-1_52JFR_2019-06-01_final
2019-06-18 10:56:04	ga_s2am_ard_3-2-1_52JFL_2019-06-18_final
2019-07-01 11:03:24	ga_s2am_ard_3-2-1_52KEB_2019-07-01_final
2019-08-10 11:06:03	ga_s2am_ard_3-2-1_52JEL_2019-08-10_final
2019-09-28 11:33:25	ga_s2am_ard_3-2-1_51KXS_2019-09-28_final
2019-10-11 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-10-11_final
2019-11-04 11:22:22	ga_s2am_ard_3-2-1_52KCF_2019-11-04_final
2020-01-10 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-01-10_final
2020-02-13 10:55:57	ga_s2am_ard_3-2-1_52JEL_2020-02-13_final
2020-02-16 11:03:28	ga_s2am_ard_3-2-1_52KEA_2020-02-16_final
2020-02-18 11:44:21	ga_s2am_ard_3-2-1_51JUN_2020-02-18_final
2020-03-20 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2020-03-20_final
2020-04-05 11:32:57	ga_s2am_ard_3-2-1_51KYT_2020-04-05_final
2020-04-17 10:35:23	ga_s2am_ard_3-2-1_53JNH_2020-04-17_final
2020-04-23 10:54:49	ga_s2am_ard_3-2-1_52JFR_2020-04-23_final
2020-05-13 10:56:05	ga_s2am_ard_3-2-1_52JFL_2020-05-13_final
2020-05-25 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-05-25_final
2020-09-17 10:45:36	ga_s2am_ard_3-2-1_53JNG_2020-09-17_final
2020-10-07 10:44:27	ga_s2am_ard_3-2-1_53JNM_2020-10-07_final
2020-10-12 11:32:49	ga_s2am_ard_3-2-1_51KWV_2020-10-12_final
2020-11-19 10:54:24	ga_s2am_ard_3-2-1_52JFT_2020-11-19_final
2021-01-04 11:13:45	ga_s2am_ard_3-2-1_52KEV_2021-01-04_final
2021-01-20 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2021-01-20_final
2021-02-23 11:11:44	ga_s2am_ard_3-2-1_52LFH_2021-02-23_final
2021-03-15 11:13:44	ga_s2am_ard_3-2-1_52KEV_2021-03-15_final
2021-04-30 11:36:00	ga_s2am_ard_3-2-1_51JTG_2021-04-30_final
2021-05-31 11:05:59	ga_s2am_ard_3-2-1_52JBM_2021-05-31_final
2021-07-11 10:36:39	ga_s2am_ard_3-2-1_53HNC_2021-07-11_final
2021-07-29 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-07-29_final
2021-09-01 11:13:20	ga_s2am_ard_3-2-1_52KDB_2021-09-01_final
2021-10-17 11:33:53	ga_s2am_ard_3-2-1_51KUR_2021-10-17_final
2021-11-19 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-11-19_final
2021-12-13 11:23:00	ga_s2am_ard_3-2-1_51KXU_2021-12-13_final
2021-12-24 10:55:55	ga_s2am_ard_3-2-1_53JKF_2021-12-24_final
2022-01-26 11:01:50	ga_s2am_ard_3-2-1_52LFH_2022-01-26_final
2022-02-09 10:44:09	ga_s2am_ard_3-2-1_53JMN_2022-02-09_final
2022-04-05 11:36:18	ga_s2am_ard_3-2-1_51JTF_2022-04-05_final
2022-06-28 11:16:25	ga_s2am_ard_3-2-1_52JBL_2022-06-28_final
2022-07-15 11:05:46	ga_s2am_ard_3-2-1_52JDN_2022-07-15_final
2022-10-29 11:26:21	ga_s2am_ard_3-2-1_51JUF_2022-10-29_final.stac-item
2022-11-24 11:41:55	ga_s2am_ard_3-2-1_51LWC_2022-11-24_final.stac-item
2022-12-11 11:31:05	ga_s2am_ard_3-2-1_52LBL_2022-12-11_final.stac-item
2022-12-24 11:41:16	ga_s2am_ard_3-2-1_51LUF_2022-12-24_final.stac-item
2023-01-12 10:34:34	ga_s2am_ard_3-2-1_53JPL_2023-01-12_final.stac-item
2023-01-15 10:46:21	ga_s2am_ard_3-2-1_53HLD_2023-01-15_final.stac-item
2023-01-16 11:54:01	ga_s2am_ard_3-2-1_50KPV_2023-01-16_final.stac-item
2023-01-27 11:24:16	ga_s2am_ard_3-2-1_52JBT_2023-01-27_final.stac-item
2023-02-18 12:03:20	ga_s2am_ard_3-2-1_50KMC_2023-02-18_final.stac-item
2023-02-23 11:11:34	ga_s2am_ard_3-2-1_52LDJ_2023-02-23_final.stac-item
2023-04-10 11:32:58	ga_s2am_ard_3-2-1_51KWU_2023-04-10_final.stac-item
2023-04-15 10:45:55	ga_s2am_ard_3-2-1_53JLF_2023-04-15_final.stac-item
2023-06-02 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-02_final.stac-item
2023-06-26 11:22:40	ga_s2am_ard_3-2-1_52KBE_2023-06-26_final.stac-item
2023-07-19 11:33:38	ga_s2am_ard_3-2-1_51KUS_2023-07-19_final.stac-item
2023-07-27 10:55:27	ga_s2am_ard_3-2-1_52JEP_2023-07-27_final.stac-item
2023-08-07 12:05:05	ga_s2am_ard_3-2-1_49JGM_2023-08-07_final.stac-item
2023-08-12 11:15:56	ga_s2am_ard_3-2-1_52JBM_2023-08-12_final.stac-item
2023-11-11 10:44:20	ga_s2am_ard_3-2-1_53JNM_2023-11-11_final.stac-item
2023-11-20 11:11:49	ga_s2am_ard_3-2-1_52LDH_2023-11-20_final.stac-item
2023-11-30 11:13:28	ga_s2am_ard_3-2-1_52KCA_2023-11-30_final.stac-item
2023-12-23 11:23:03	ga_s2am_ard_3-2-1_52KBC_2023-12-23_final.stac-item
2023-12-27 11:05:55	ga_s2am_ard_3-2-1_52JBM_2023-12-27_final.stac-item
2024-01-29 11:11:22	ga_s2am_ard_3-2-1_52LGJ_2024-01-29_final.stac-item
2024-02-04 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2024-02-04_final.stac-item
2024-02-08 11:12:42	ga_s2am_ard_3-2-1_52KED_2024-02-08_final.stac-item
2024-02-28 11:16:34	ga_s2am_ard_3-2-1_52HBJ_2024-02-28_final.stac-item
2024-03-15 11:36:02	ga_s2am_ard_3-2-1_51JTG_2024-03-15_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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