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
2015-10-20 11:05:17	ga_s2am_ard_3-2-1_52JEL_2015-10-20_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KEF_2016-01-21_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNJ_2016-02-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUM_2016-04-06_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMJ_2016-04-29_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KFC_2016-05-07_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_51KZR_2016-05-20_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KGP_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKN_2016-06-04_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JQM_2016-09-13_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPH_2016-10-03_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTD_2016-12-22_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_51KZS_2016-12-26_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KEE_2016-12-26_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLK_2016-12-28_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JKM_2017-01-07_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KKV_2017-01-30_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HMJ_2017-02-13_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52KFE_2017-03-06_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-04-15_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51HXE_2017-05-18_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JML_2017-07-03_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52KFD_2017-07-04_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52KGU_2017-10-06_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLM_2017-12-03_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HUC_2017-12-04_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-12-29_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KDE_2018-01-30_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JGR_2018-02-13_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KHC_2018-02-16_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50KLC_2018-03-26_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51JTF_2018-03-27_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JMS_2018-06-04_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JEN_2018-06-06_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_50KKV_2018-06-07_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KRC_2018-06-08_final
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KDV_2018-06-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JQT_2018-10-26_final
2019-01-05 11:13:35	ga_s2am_ard_3-2-1_51KZR_2019-01-05_final
2019-03-15 11:42:09	ga_s2am_ard_3-2-1_51KVB_2019-03-15_final
2019-03-22 11:31:41	ga_s2am_ard_3-2-1_51LXD_2019-03-22_final
2019-07-19 12:06:15	ga_s2am_ard_3-2-1_50JKM_2019-07-19_final
2019-08-02 11:43:19	ga_s2am_ard_3-2-1_51KUT_2019-08-02_final
2019-10-19 11:03:52	ga_s2am_ard_3-2-1_52KEV_2019-10-19_final
2019-11-16 12:06:06	ga_s2am_ard_3-2-1_50JKM_2019-11-16_final
2020-02-26 11:02:10	ga_s2am_ard_3-2-1_52KGF_2020-02-26_final
2020-02-26 11:02:21	ga_s2am_ard_3-2-1_52KHE_2020-02-26_final
2020-03-03 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-03-03_final
2020-04-25 11:36:04	ga_s2am_ard_3-2-1_51JTG_2020-04-25_final
2020-06-18 11:16:43	ga_s2am_ard_3-2-1_51HYD_2020-06-18_final
2020-09-02 11:36:24	ga_s2am_ard_3-2-1_50JQL_2020-09-02_final
2020-09-08 11:54:59	ga_s2am_ard_3-2-1_50JMS_2020-09-08_final
2020-09-16 11:16:12	ga_s2am_ard_3-2-1_51JYF_2020-09-16_final
2020-09-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-09-24_final
2020-11-01 11:31:23	ga_s2am_ard_3-2-1_52LBK_2020-11-01_final
2020-12-01 11:33:02	ga_s2am_ard_3-2-1_51KYT_2020-12-01_final
2020-12-11 11:36:34	ga_s2am_ard_3-2-1_50HPK_2020-12-11_final
2020-12-18 11:24:30	ga_s2am_ard_3-2-1_51JZM_2020-12-18_final
2020-12-20 12:06:08	ga_s2am_ard_3-2-1_50JKM_2020-12-20_final
2020-12-28 11:21:53	ga_s2am_ard_3-2-1_52LBH_2020-12-28_final
2021-01-07 11:23:17	ga_s2am_ard_3-2-1_52KCB_2021-01-07_final
2021-01-24 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-01-24_final
2021-01-30 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-01-30_final
2021-01-31 11:03:13	ga_s2am_ard_3-2-1_52KGB_2021-01-31_final
2021-03-27 11:54:31	ga_s2am_ard_3-2-1_50JPT_2021-03-27_final
2021-05-18 10:56:00	ga_s2am_ard_3-2-1_52JFL_2021-05-18_final
2021-05-24 11:15:00	ga_s2am_ard_3-2-1_52JDQ_2021-05-24_final
2021-05-30 11:34:06	ga_s2am_ard_3-2-1_51KXP_2021-05-30_final
2021-06-03 11:14:10	ga_s2am_ard_3-2-1_52KBU_2021-06-03_final
2021-06-22 11:42:22	ga_s2am_ard_3-2-1_51KWA_2021-06-22_final
2021-07-28 12:06:13	ga_s2am_ard_3-2-1_50JKM_2021-07-28_final
2021-07-29 11:36:35	ga_s2am_ard_3-2-1_51HTE_2021-07-29_final
2021-08-02 11:14:32	ga_s2am_ard_3-2-1_51JYN_2021-08-02_final
2021-08-31 11:46:35	ga_s2am_ard_3-2-1_50HPK_2021-08-31_final
2021-10-01 11:16:12	ga_s2am_ard_3-2-1_51JYF_2021-10-01_final
2021-12-18 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-12-18_final
2022-01-26 11:04:24	ga_s2am_ard_3-2-1_52JGS_2022-01-26_final
2022-02-14 11:31:35	ga_s2am_ard_3-2-1_51LZD_2022-02-14_final
2022-04-28 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2022-04-28_final
2022-05-18 11:44:50	ga_s2am_ard_3-2-1_50JRS_2022-05-18_final
2022-05-28 11:45:14	ga_s2am_ard_3-2-1_50JPR_2022-05-28_final
2022-06-01 11:22:31	ga_s2am_ard_3-2-1_51KZA_2022-06-01_final
2022-06-01 11:22:56	ga_s2am_ard_3-2-1_52KCD_2022-06-01_final
2022-06-11 11:23:45	ga_s2am_ard_3-2-1_51KZR_2022-06-11_final
2022-08-09 11:56:26	ga_s2am_ard_3-2-1_50JKM_2022-08-09_final
2022-09-04 12:14:06	ga_s2am_ard_3-2-1_49KHR_2022-09-04_final.stac-item
2022-09-08 11:54:59	ga_s2am_ard_3-2-1_50JPS_2022-09-08_final.stac-item
2022-10-03 11:03:06	ga_s2am_ard_3-2-1_52KGC_2022-10-03_final.stac-item
2022-10-28 13:31:43	ga_s2am_ard_3-2-1_46LHM_2022-10-28_interim.stac-item
2022-11-21 11:32:47	ga_s2am_ard_3-2-1_51KVV_2022-11-21_final.stac-item
2022-11-21 11:33:42	ga_s2am_ard_3-2-1_51KWR_2022-11-21_final.stac-item
2023-01-03 13:21:44	ga_s2am_ard_3-2-1_46LHM_2023-01-03_interim.stac-item
2023-01-27 11:21:07	ga_s2am_ard_3-2-1_52LBL_2023-01-27_nrt.stac-item
2023-02-26 11:21:38	ga_s2am_ard_3-2-1_51LZD_2023-02-26_final.stac-item
2023-03-27 11:53:46	ga_s2am_ard_3-2-1_50KPA_2023-03-27_final.stac-item
2023-10-03 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-10-03_nrt.stac-item
2023-12-16 11:33:26	ga_s2am_ard_3-2-1_51KVS_2023-12-16_final.stac-item
2024-03-08 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2024-03-08_final.stac-item
2024-03-12 11:24:32	ga_s2am_ard_3-2-1_51JZM_2024-03-12_final.stac-item
2024-03-15 11:32:46	ga_s2am_ard_3-2-1_51KVV_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

All years