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
2015-08-23 10:04:21	ga_s2am_ard_3-2-1_54JYQ_2015-08-23_final.stac-item
2015-11-13 10:37:42	ga_s2am_ard_3-2-1_53KQV_2015-11-13_final.stac-item
2015-11-13 10:42:13	ga_s2am_ard_3-2-1_53KQT_2015-11-13_final.stac-item
2015-11-22 11:12:12	ga_s2am_ard_3-2-1_52KEB_2015-11-22_final.stac-item
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_53KKU_2015-12-06_final.stac-item
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_53KNT_2015-12-06_final.stac-item
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_53KNU_2015-12-06_final.stac-item
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54HWG_2016-01-23_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53JRN_2016-01-29_final.stac-item
2016-02-04 10:52:13	ga_s2am_ard_3-2-1_52KHF_2016-02-04_final.stac-item
2016-02-11 10:41:59	ga_s2am_ard_3-2-1_53KRA_2016-02-11_final.stac-item
2016-02-20 11:10:32	ga_s2am_ard_3-2-1_52LFL_2016-02-20_final.stac-item
2016-02-20 11:12:10	ga_s2am_ard_3-2-1_52KEU_2016-02-20_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLR_2016-03-06_final.stac-item
2016-03-22 10:43:04	ga_s2am_ard_3-2-1_53KQQ_2016-03-22_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52LGH_2016-04-10_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_52KFE_2016-04-20_final.stac-item
2016-04-24 10:52:19	ga_s2am_ard_3-2-1_53KMS_2016-04-24_final.stac-item
2016-04-24 10:52:19	ga_s2am_ard_3-2-1_53KMU_2016-04-24_final.stac-item
2016-04-25 10:26:40	ga_s2am_ard_3-2-1_54HUG_2016-04-25_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KFE_2016-04-30_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KFF_2016-04-30_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KFG_2016-04-30_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53JPL_2016-05-01_final.stac-item
2016-05-02 10:12:26	ga_s2am_ard_3-2-1_54HXK_2016-05-02_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53JPL_2016-05-11_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KQU_2016-05-31_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_53LMG_2016-06-06_final.stac-item
2016-10-14 11:00:36	ga_s2am_ard_3-2-1_53LMG_2016-10-14_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_53KLA_2016-12-03_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_53LKC_2016-12-03_final.stac-item
2016-12-14 10:33:36	ga_s2am_ard_3-2-1_53JNJ_2016-12-14_final
2017-01-19 10:47:10	ga_s2am_ard_3-2-1_53LPF_2017-01-19_final
2017-03-11 10:21:56	ga_s2am_ard_3-2-1_54KWC_2017-03-11_final
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_52KED_2017-03-16_final
2017-04-03 10:31:57	ga_s2am_ard_3-2-1_54KVD_2017-04-03_final.stac-item
2017-04-25 11:12:16	ga_s2am_ard_3-2-1_52KEE_2017-04-25_final
2017-09-24 10:13:12	ga_s2am_ard_3-2-1_54HXJ_2017-09-24_final
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-12-09_final
2018-02-01 10:16:37	ga_s2am_ard_3-2-1_54HWF_2018-02-01_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGK_2018-06-07_final
2018-11-14 10:36:11	ga_s2am_ard_3-2-1_53HLE_2018-11-14_final
2018-11-15 10:07:20	ga_s2am_ard_3-2-1_54HWD_2018-11-15_final
2018-12-12 11:36:57	ga_s2am_ard_3-2-1_50HQH_2018-12-12_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-09 10:27:02	ga_s2am_ard_3-2-1_53HPA_2019-02-09_final
2019-03-16 11:13:18	ga_s2am_ard_3-2-1_52KCB_2019-03-16_final
2019-03-26 11:13:13	ga_s2am_ard_3-2-1_52KBC_2019-03-26_final
2019-04-01 11:33:24	ga_s2am_ard_3-2-1_51KXS_2019-04-01_final
2019-04-14 11:41:20	ga_s2am_ard_3-2-1_51LUF_2019-04-14_final
2019-04-18 11:23:31	ga_s2am_ard_3-2-1_51KXS_2019-04-18_final
2019-05-25 11:13:24	ga_s2am_ard_3-2-1_52KEB_2019-05-25_final
2019-06-26 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-06-26_final.stac-item
2019-06-30 11:33:17	ga_s2am_ard_3-2-1_51KWT_2019-06-30_final
2019-08-09 09:56:57	ga_s2am_ard_3-2-1_54HYF_2019-08-09_final
2019-09-25 11:23:29	ga_s2am_ard_3-2-1_51KXS_2019-09-25_final
2019-11-13 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-11-13_final.stac-item
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2020-01-11 10:43:42	ga_s2am_ard_3-2-1_53KPP_2020-01-11_final
2020-01-20 11:13:09	ga_s2am_ard_3-2-1_52KEB_2020-01-20_final
2020-04-15 11:33:23	ga_s2am_ard_3-2-1_51KXS_2020-04-15_final
2020-04-25 11:33:29	ga_s2am_ard_3-2-1_51KWS_2020-04-25_final
2020-09-05 11:41:23	ga_s2am_ard_3-2-1_51LUF_2020-09-05_final
2020-09-09 09:47:59	ga_s2am_ard_3-2-1_54HYB_2020-09-09_final
2020-09-14 10:32:41	ga_s2am_ard_3-2-1_53KQU_2020-09-14_final
2020-09-17 10:42:22	ga_s2am_ard_3-2-1_53KQV_2020-09-17_final
2020-09-21 10:22:00	ga_s2am_ard_3-2-1_54KXF_2020-09-21_final
2020-09-21 10:23:01	ga_s2am_ard_3-2-1_54KWB_2020-09-21_final
2020-09-23 11:03:10	ga_s2am_ard_3-2-1_52KEC_2020-09-23_final
2020-09-26 11:12:19	ga_s2am_ard_3-2-1_52KFF_2020-09-26_final
2020-09-28 10:16:05	ga_s2am_ard_3-2-1_54HXJ_2020-09-28_final
2020-10-02 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-10-02_final
2020-10-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-10-04_final
2020-12-13 10:33:42	ga_s2am_ard_3-2-1_53KRP_2020-12-13_final
2020-12-17 11:52:17	ga_s2am_ard_3-2-1_50KQG_2020-12-17_final.stac-item
2021-02-22 10:07:40	ga_s2am_ard_3-2-1_54HWC_2021-02-22_final
2021-04-04 11:13:10	ga_s2am_ard_3-2-1_52KBC_2021-04-04_final
2021-09-11 11:13:14	ga_s2am_ard_3-2-1_52KBC_2021-09-11_final
2021-11-04 10:54:51	ga_s2am_ard_3-2-1_52JFR_2021-11-04_final
2021-12-29 10:07:46	ga_s2am_ard_3-2-1_54HVC_2021-12-29_final.stac-item
2022-01-24 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2022-01-24_final
2022-02-28 11:14:32	ga_s2am_ard_3-2-1_51JYN_2022-02-28_final
2022-04-30 10:45:47	ga_s2am_ard_3-2-1_53JNF_2022-04-30_final
2022-06-07 10:07:36	ga_s2am_ard_3-2-1_54HVD_2022-06-07_final
2022-07-21 11:23:39	ga_s2am_ard_3-2-1_51KXS_2022-07-21_final
2022-09-08 10:15:19	ga_s2am_ard_3-2-1_54JUP_2022-09-08_final.stac-item
2022-10-26 11:11:08	ga_s2am_ard_3-2-1_52LEL_2022-10-26_final.stac-item
2022-11-16 10:45:49	ga_s2am_ard_3-2-1_52JGM_2022-11-16_final.stac-item
2022-11-26 10:45:46	ga_s2am_ard_3-2-1_52JGM_2022-11-26_final.stac-item
2023-01-05 10:45:39	ga_s2am_ard_3-2-1_52JGM_2023-01-05_final.stac-item
2023-03-06 10:42:45	ga_s2am_ard_3-2-1_53KPT_2023-03-06_final.stac-item
2023-03-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-17_final.stac-item
2023-05-15 10:45:55	ga_s2am_ard_3-2-1_53JLF_2023-05-15_final.stac-item
2023-07-12 11:41:02	ga_s2am_ard_3-2-1_51LWG_2023-07-12_final.stac-item
2023-10-10 11:41:17	ga_s2am_ard_3-2-1_51LUF_2023-10-10_final.stac-item
2023-11-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2023-11-28_final.stac-item
2024-03-27 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-27_final.stac-item
2024-04-27 11:42:59	ga_s2am_ard_3-2-1_51KVU_2024-04-27_final.stac-item
2024-04-30 10:16:03	ga_s2am_ard_3-2-1_54HXJ_2024-04-30_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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