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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUS_2015-12-21_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KDV_2016-04-10_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_52KBU_2016-04-30_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52LFL_2016-06-19_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KKV_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLC_2016-06-24_final.stac-item
2016-07-02 11:17:01	ga_s2am_ard_3-2-1_51KZU_2016-07-02_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HQJ_2016-09-06_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52LFN_2016-12-26_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JCQ_2016-12-26_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KYV_2017-01-18_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LFM_2017-01-25_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HMH_2017-02-13_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-22_final
2017-06-04 11:12:17	ga_s2am_ard_3-2-1_52KBA_2017-06-04_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUT_2017-07-10_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KXV_2017-09-08_final
2017-12-07 11:35:58	ga_s2am_ard_3-2-1_51HVE_2017-12-07_final
2018-01-14 10:53:07	ga_s2am_ard_3-2-1_52JEP_2018-01-14_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51KUT_2018-03-17_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KVS_2018-04-09_final
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52KEA_2018-04-10_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KVU_2018-04-16_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50JPL_2018-05-06_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KWB_2018-05-26_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JTF_2018-08-04_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_51JYN_2018-08-08_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_51LWC_2018-10-16_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2018-10-25_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51LXD_2018-11-02_final
2018-11-19 11:23:36	ga_s2am_ard_3-2-1_51KXR_2018-11-19_final
2018-11-25 11:46:59	ga_s2am_ard_3-2-1_50HNH_2018-11-25_final
2018-12-25 11:42:53	ga_s2am_ard_3-2-1_51KUU_2018-12-25_final
2019-01-31 11:33:10	ga_s2am_ard_3-2-1_51KWT_2019-01-31_final
2019-03-13 11:03:37	ga_s2am_ard_3-2-1_52KGV_2019-03-13_final
2019-03-22 11:32:38	ga_s2am_ard_3-2-1_51KXV_2019-03-22_final
2019-04-15 11:14:58	ga_s2am_ard_3-2-1_51JYL_2019-04-15_final
2019-06-24 11:16:24	ga_s2am_ard_3-2-1_52HBK_2019-06-24_final
2019-07-23 11:43:41	ga_s2am_ard_3-2-1_51KVR_2019-07-23_final
2019-08-09 11:33:07	ga_s2am_ard_3-2-1_51KXU_2019-08-09_final
2019-08-10 11:03:45	ga_s2am_ard_3-2-1_52KGV_2019-08-10_final
2019-08-21 12:13:42	ga_s2am_ard_3-2-1_50KKB_2019-08-21_final
2020-01-13 11:22:42	ga_s2am_ard_3-2-1_52KCD_2020-01-13_final
2020-01-22 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-22_final
2020-03-03 11:22:51	ga_s2am_ard_3-2-1_51KYU_2020-03-03_final
2020-03-03 11:23:24	ga_s2am_ard_3-2-1_51KXS_2020-03-03_final
2020-04-06 11:03:50	ga_s2am_ard_3-2-1_52KDV_2020-04-06_final
2020-05-29 11:15:28	ga_s2am_ard_3-2-1_52JBP_2020-05-29_final
2020-07-11 11:26:48	ga_s2am_ard_3-2-1_51HVD_2020-07-11_final
2020-07-16 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-16_final
2020-07-22 10:55:33	ga_s2am_ard_3-2-1_52JGN_2020-07-22_final
2020-08-06 11:42:01	ga_s2am_ard_3-2-1_51LWC_2020-08-06_final
2020-09-09 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-09-09_final
2020-09-12 11:33:41	ga_s2am_ard_3-2-1_51KUS_2020-09-12_final
2020-11-15 11:13:43	ga_s2am_ard_3-2-1_52KBA_2020-11-15_final
2020-12-14 11:43:22	ga_s2am_ard_3-2-1_51KVS_2020-12-14_final
2020-12-28 11:22:22	ga_s2am_ard_3-2-1_52KBF_2020-12-28_final
2021-01-09 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-01-09_final
2021-01-30 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-01-30_final
2021-03-08 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-03-08_final
2021-04-20 11:32:35	ga_s2am_ard_3-2-1_51KXV_2021-04-20_final
2021-05-07 11:24:14	ga_s2am_ard_3-2-1_51KWP_2021-05-07_final
2021-05-13 11:43:18	ga_s2am_ard_3-2-1_51KTT_2021-05-13_final
2021-05-27 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-05-27_final
2021-05-31 11:05:53	ga_s2am_ard_3-2-1_52JCM_2021-05-31_final
2021-06-03 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2021-06-03_final
2021-08-15 11:27:04	ga_s2am_ard_3-2-1_51HUC_2021-08-15_final
2021-09-05 10:52:20	ga_s2am_ard_3-2-1_52KHF_2021-09-05_final
2021-10-07 11:33:43	ga_s2am_ard_3-2-1_51KXR_2021-10-07_final
2021-11-29 11:41:55	ga_s2am_ard_3-2-1_51LWC_2021-11-29_final
2021-12-08 12:15:19	ga_s2am_ard_3-2-1_49JGK_2021-12-08_final
2022-02-15 11:04:18	ga_s2am_ard_3-2-1_52JET_2022-02-15_final
2022-02-18 11:14:10	ga_s2am_ard_3-2-1_52KBU_2022-02-18_final
2022-03-23 11:26:28	ga_s2am_ard_3-2-1_51HWE_2022-03-23_final
2022-03-26 11:36:02	ga_s2am_ard_3-2-1_51JUG_2022-03-26_final
2022-04-16 11:03:49	ga_s2am_ard_3-2-1_52KFV_2022-04-16_final
2022-04-19 11:13:50	ga_s2am_ard_3-2-1_52KCV_2022-04-19_final
2022-04-22 11:24:13	ga_s2am_ard_3-2-1_51KYP_2022-04-22_final
2022-04-26 11:03:47	ga_s2am_ard_3-2-1_52KGV_2022-04-26_final
2022-04-28 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-04-28_final
2022-06-08 11:13:01	ga_s2am_ard_3-2-1_52KCD_2022-06-08_final
2022-07-04 11:34:16	ga_s2am_ard_3-2-1_51KUQ_2022-07-04_final
2022-07-21 11:23:33	ga_s2am_ard_3-2-1_51KZS_2022-07-21_final
2022-09-22 11:33:05	ga_s2am_ard_3-2-1_51KWU_2022-09-22_final.stac-item
2022-09-26 11:16:30	ga_s2am_ard_3-2-1_51HYE_2022-09-26_final.stac-item
2022-10-09 11:23:27	ga_s2am_ard_3-2-1_52KBB_2022-10-09_final.stac-item
2022-11-01 11:36:14	ga_s2am_ard_3-2-1_51JVF_2022-11-01_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-01-21 11:02:50	ga_s2am_ard_3-2-1_52KHC_2023-01-21_final.stac-item
2023-03-31 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-03-31_final.stac-item
2023-06-15 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-06-15_nrt.stac-item
2023-06-16 11:21:54	ga_s2am_ard_3-2-1_52LCH_2023-06-16_final.stac-item
2023-06-26 11:22:52	ga_s2am_ard_3-2-1_52KCD_2023-06-26_final.stac-item
2023-06-30 11:04:40	ga_s2am_ard_3-2-1_52JFS_2023-06-30_final.stac-item
2023-11-22 11:56:10	ga_s2am_ard_3-2-1_50JKM_2023-11-22_final.stac-item
2023-11-26 11:36:18	ga_s2am_ard_3-2-1_51HVE_2023-11-26_final.stac-item
2023-12-03 11:23:27	ga_s2am_ard_3-2-1_52KBA_2023-12-03_final.stac-item
2024-01-16 11:06:26	ga_s2am_ard_3-2-1_52HBJ_2024-01-16_final.stac-item
2024-01-22 11:23:42	ga_s2am_ard_3-2-1_52KBV_2024-01-22_final.stac-item
2024-02-04 11:32:21	ga_s2am_ard_3-2-1_51KXA_2024-02-04_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

All years