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 10:59:55	ga_s2am_ard_3-2-1_52JES_2015-10-20_final.stac-item
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KRC_2015-11-14_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51KZP_2016-01-11_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52JBT_2016-05-10_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HLG_2016-06-11_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KZR_2016-06-12_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KUA_2016-08-17_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_52KBA_2016-09-20_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRB_2016-11-15_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KVU_2016-12-12_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KXB_2017-02-10_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KUT_2017-03-05_final.stac-item
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_52JGL_2017-05-06_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_52JBP_2017-11-21_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JFS_2018-02-13_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KYU_2018-02-25_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KUV_2018-04-19_final
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_52JFM_2018-05-24_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVU_2018-06-08_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51KZQ_2018-06-12_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KBU_2018-07-09_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWR_2018-07-25_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_50KKA_2018-07-27_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HUE_2018-09-13_final
2018-12-12 11:31:34	ga_s2am_ard_3-2-1_51LXD_2018-12-12_final
2018-12-25 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2018-12-25_final
2019-01-10 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-01-10_final
2019-01-18 11:23:31	ga_s2am_ard_3-2-1_52KBA_2019-01-18_final
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final
2019-02-27 11:22:56	ga_s2am_ard_3-2-1_51KXU_2019-02-27_final
2019-04-15 11:15:02	ga_s2am_ard_3-2-1_52JDQ_2019-04-15_final
2019-05-15 11:13:40	ga_s2am_ard_3-2-1_52KCA_2019-05-15_final
2019-06-03 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-06-03_final
2019-06-30 11:32:51	ga_s2am_ard_3-2-1_51KVV_2019-06-30_final
2019-07-09 12:04:12	ga_s2am_ard_3-2-1_50KKV_2019-07-09_final.stac-item
2019-07-13 11:42:14	ga_s2am_ard_3-2-1_51KWB_2019-07-13_final
2019-07-13 11:42:26	ga_s2am_ard_3-2-1_51KWA_2019-07-13_final
2019-08-17 10:55:02	ga_s2am_ard_3-2-1_52JGQ_2019-08-17_final
2019-08-29 11:34:30	ga_s2am_ard_3-2-1_51JVN_2019-08-29_final
2020-02-28 11:46:08	ga_s2am_ard_3-2-1_50JMM_2020-02-28_final
2020-03-06 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-06_final.stac-item
2020-03-19 11:42:53	ga_s2am_ard_3-2-1_51KVU_2020-03-19_final
2020-03-20 11:15:18	ga_s2am_ard_3-2-1_52JBP_2020-03-20_final
2020-04-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-04-21_final
2020-04-21 11:56:37	ga_s2am_ard_3-2-1_50HMK_2020-04-21_final
2020-05-18 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-05-18_final.stac-item
2020-06-24 11:32:56	ga_s2am_ard_3-2-1_51KYU_2020-06-24_final
2020-07-27 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-07-27_final
2020-08-04 11:04:27	ga_s2am_ard_3-2-1_52JDT_2020-08-04_final
2020-08-10 11:25:59	ga_s2am_ard_3-2-1_51JXG_2020-08-10_final
2020-08-25 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-08-25_final
2020-09-03 11:04:55	ga_s2am_ard_3-2-1_52JDR_2020-09-03_final
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final
2021-02-09 11:32:06	ga_s2am_ard_3-2-1_51KYB_2021-02-09_final
2021-02-22 11:42:39	ga_s2am_ard_3-2-1_51KVV_2021-02-22_final
2021-03-01 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-03-01_final
2021-04-10 11:32:06	ga_s2am_ard_3-2-1_51KXB_2021-04-10_final
2021-04-10 11:33:58	ga_s2am_ard_3-2-1_51KUQ_2021-04-10_final
2021-04-13 11:46:02	ga_s2am_ard_3-2-1_51JTF_2021-04-13_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-04-17 11:26:01	ga_s2am_ard_3-2-1_51JXF_2021-04-17_final
2021-05-07 11:27:00	ga_s2am_ard_3-2-1_51HUC_2021-05-07_final
2021-05-27 11:22:27	ga_s2am_ard_3-2-1_51KYA_2021-05-27_final
2021-06-25 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-06-25_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final
2021-07-22 11:45:07	ga_s2am_ard_3-2-1_50JQR_2021-07-22_final
2021-07-26 11:26:15	ga_s2am_ard_3-2-1_51JWF_2021-07-26_final
2021-08-28 11:32:42	ga_s2am_ard_3-2-1_51KXV_2021-08-28_final
2021-09-04 11:22:52	ga_s2am_ard_3-2-1_52KBD_2021-09-04_final
2021-10-31 11:14:42	ga_s2am_ard_3-2-1_52JBS_2021-10-31_final
2021-11-29 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-11-29_final.stac-item
2022-01-22 11:22:56	ga_s2am_ard_3-2-1_51KYU_2022-01-22_final
2022-01-28 11:43:15	ga_s2am_ard_3-2-1_51KUT_2022-01-28_final
2022-02-11 11:24:58	ga_s2am_ard_3-2-1_51JWL_2022-02-11_final
2022-04-08 11:42:46	ga_s2am_ard_3-2-1_51KUV_2022-04-08_final
2022-04-08 11:43:01	ga_s2am_ard_3-2-1_51KUU_2022-04-08_final
2022-06-14 11:34:24	ga_s2am_ard_3-2-1_51KVP_2022-06-14_final
2022-07-13 12:05:10	ga_s2am_ard_3-2-1_50JKS_2022-07-13_final
2022-09-15 11:42:55	ga_s2am_ard_3-2-1_51KUV_2022-09-15_final.stac-item
2022-11-05 11:13:58	ga_s2am_ard_3-2-1_52KBV_2022-11-05_final.stac-item
2023-01-10 11:32:18	ga_s2am_ard_3-2-1_51KVB_2023-01-10_final.stac-item
2023-01-20 11:34:12	ga_s2am_ard_3-2-1_51KUP_2023-01-20_final.stac-item
2023-02-09 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-02-09_final.stac-item
2023-04-07 11:22:52	ga_s2am_ard_3-2-1_51KZU_2023-04-07_final.stac-item
2023-04-20 11:33:58	ga_s2am_ard_3-2-1_51KVQ_2023-04-20_final.stac-item
2023-05-06 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-06_final.stac-item
2023-07-08 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-07-08_final.stac-item
2023-07-09 11:35:13	ga_s2am_ard_3-2-1_51JWK_2023-07-09_final.stac-item
2023-09-15 10:55:50	ga_s2am_ard_3-2-1_52JFM_2023-09-15_final.stac-item
2023-11-03 11:23:16	ga_s2am_ard_3-2-1_51KXT_2023-11-03_final.stac-item
2023-12-03 11:24:08	ga_s2am_ard_3-2-1_51KWP_2023-12-03_final.stac-item
2024-01-09 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2024-01-09_final.stac-item
2024-01-28 11:46:47	ga_s2am_ard_3-2-1_50HNJ_2024-01-28_final.stac-item
2024-01-29 11:13:34	ga_s2am_ard_3-2-1_52KBA_2024-01-29_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_50KNA_2024-02-03_final.stac-item
2024-02-04 11:32:36	ga_s2am_ard_3-2-1_51KXV_2024-02-04_final.stac-item
2024-02-04 11:32:42	ga_s2am_ard_3-2-1_51KVV_2024-02-04_final.stac-item
2024-04-03 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2024-04-03_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