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
2016-01-25 10:53:17	ga_s2am_ard_3-2-1_52KHC_2016-01-25_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KDU_2016-01-31_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZR_2016-05-23_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KWP_2017-01-31_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWT_2017-05-31_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HPK_2017-08-19_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HPH_2017-08-19_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51JTH_2017-09-01_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKM_2018-01-05_final
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_52KFE_2018-02-09_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_52JBS_2018-02-12_final
2018-02-18 11:37:49	ga_s2am_ard_3-2-1_51KVB_2018-02-18_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KVB_2018-02-18_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HYD_2018-03-21_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50HLH_2018-04-22_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JCS_2018-06-09_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLL_2018-08-20_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53HNB_2018-09-05_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HVD_2018-09-30_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HQK_2018-10-03_final
2018-10-08 10:37:24	ga_s2am_ard_3-2-1_53HLE_2018-10-08_final
2018-11-09 11:22:19	ga_s2am_ard_3-2-1_51KZA_2018-11-09_final
2018-11-23 11:05:56	ga_s2am_ard_3-2-1_52JDL_2018-11-23_final
2018-12-03 11:03:19	ga_s2am_ard_3-2-1_52KGA_2018-12-03_final
2018-12-08 11:53:27	ga_s2am_ard_3-2-1_50KPB_2018-12-08_final
2019-01-19 10:55:42	ga_s2am_ard_3-2-1_52JFM_2019-01-19_final
2019-01-30 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-30_final
2019-02-13 11:43:00	ga_s2am_ard_3-2-1_51KTU_2019-02-13_final
2019-02-19 10:26:47	ga_s2am_ard_3-2-1_53HPB_2019-02-19_final
2019-03-26 11:16:21	ga_s2am_ard_3-2-1_51HYE_2019-03-26_final
2019-04-01 11:36:17	ga_s2am_ard_3-2-1_51JTF_2019-04-01_final
2019-04-14 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2019-04-14_final
2019-07-14 11:16:13	ga_s2am_ard_3-2-1_51JYF_2019-07-14_final
2019-11-30 11:42:27	ga_s2am_ard_3-2-1_51KVA_2019-11-30_final
2019-12-17 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2019-12-17_final
2020-01-03 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2020-01-03_final
2020-03-24 10:55:42	ga_s2am_ard_3-2-1_52JFM_2020-03-24_final
2020-04-09 11:12:08	ga_s2am_ard_3-2-1_52KCG_2020-04-09_final
2020-04-24 10:27:06	ga_s2am_ard_3-2-1_53HPA_2020-04-24_final
2020-07-14 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-07-14_final
2020-08-20 11:26:24	ga_s2am_ard_3-2-1_51JUF_2020-08-20_final
2020-08-23 11:35:18	ga_s2am_ard_3-2-1_51JVK_2020-08-23_final
2020-10-16 11:16:28	ga_s2am_ard_3-2-1_51HYE_2020-10-16_final
2020-12-11 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2020-12-11_final
2021-01-20 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-20_final
2021-02-08 10:26:39	ga_s2am_ard_3-2-1_53HNC_2021-02-08_final
2021-02-10 11:06:06	ga_s2am_ard_3-2-1_52JCL_2021-02-10_final
2021-05-30 11:34:26	ga_s2am_ard_3-2-1_51JWN_2021-05-30_final
2021-05-30 11:34:44	ga_s2am_ard_3-2-1_51JVM_2021-05-30_final
2021-05-31 11:03:21	ga_s2am_ard_3-2-1_52KEB_2021-05-31_final
2021-07-08 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-07-08_final
2021-08-05 11:22:55	ga_s2am_ard_3-2-1_51KZU_2021-08-05_final
2021-09-07 11:31:49	ga_s2am_ard_3-2-1_51LZC_2021-09-07_final
2021-10-13 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-13_final
2021-10-20 11:46:43	ga_s2am_ard_3-2-1_50HNK_2021-10-20_final
2021-10-30 11:43:34	ga_s2am_ard_3-2-1_51KUS_2021-10-30_final
2021-11-07 11:04:46	ga_s2am_ard_3-2-1_52JFR_2021-11-07_final
2021-12-24 10:52:32	ga_s2am_ard_3-2-1_52KHE_2021-12-24_final
2022-01-04 10:27:07	ga_s2am_ard_3-2-1_53HPA_2022-01-04_final
2022-01-08 11:43:13	ga_s2am_ard_3-2-1_51KVT_2022-01-08_final
2022-01-22 11:22:38	ga_s2am_ard_3-2-1_51KZV_2022-01-22_final
2022-01-25 11:31:57	ga_s2am_ard_3-2-1_51LXC_2022-01-25_final
2022-02-04 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-02-04_final
2022-02-25 11:01:05	ga_s2am_ard_3-2-1_52LGL_2022-02-25_final
2022-03-02 11:55:50	ga_s2am_ard_3-2-1_50JKP_2022-03-02_final
2022-03-26 11:35:15	ga_s2am_ard_3-2-1_51JVK_2022-03-26_final
2022-04-02 11:23:27	ga_s2am_ard_3-2-1_51KYS_2022-04-02_final
2022-05-02 11:24:28	ga_s2am_ard_3-2-1_51JYN_2022-05-02_final
2022-06-01 11:24:51	ga_s2am_ard_3-2-1_52JBR_2022-06-01_final
2022-06-02 10:54:05	ga_s2am_ard_3-2-1_52KHU_2022-06-02_final
2022-06-11 11:23:34	ga_s2am_ard_3-2-1_51KYS_2022-06-11_final
2022-06-28 11:13:46	ga_s2am_ard_3-2-1_52KDA_2022-06-28_final
2022-07-01 11:26:13	ga_s2am_ard_3-2-1_51JVG_2022-07-01_final
2022-07-03 10:27:03	ga_s2am_ard_3-2-1_53HPB_2022-07-03_final
2022-08-12 10:27:02	ga_s2am_ard_3-2-1_53HPB_2022-08-12_final
2022-08-16 11:45:12	ga_s2am_ard_3-2-1_50JPR_2022-08-16_final.stac-item
2022-09-05 11:45:08	ga_s2am_ard_3-2-1_51JTL_2022-09-05_final.stac-item
2022-10-11 12:06:15	ga_s2am_ard_3-2-1_50JKM_2022-10-11_final.stac-item
2023-01-07 11:22:55	ga_s2am_ard_3-2-1_51KYU_2023-01-07_final.stac-item
2023-01-10 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-01-10_final.stac-item
2023-01-27 11:25:28	ga_s2am_ard_3-2-1_51JVJ_2023-01-27_final.stac-item
2023-02-27 10:52:17	ga_s2am_ard_3-2-1_52KHF_2023-02-27_final.stac-item
2023-03-25 11:15:28	ga_s2am_ard_3-2-1_51JXJ_2023-03-25_final.stac-item
2023-04-13 11:42:42	ga_s2am_ard_3-2-1_51KVV_2023-04-13_final.stac-item
2023-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-05-10_final.stac-item
2023-06-05 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-05_final.stac-item
2023-06-12 11:43:19	ga_s2am_ard_3-2-1_51KUT_2023-06-12_final.stac-item
2023-06-22 11:43:18	ga_s2am_ard_3-2-1_51KUT_2023-06-22_final.stac-item
2023-07-28 10:27:10	ga_s2am_ard_3-2-1_53HPA_2023-07-28_final.stac-item
2023-08-02 11:16:31	ga_s2am_ard_3-2-1_51HXE_2023-08-02_final.stac-item
2023-09-20 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-09-20_final.stac-item
2023-12-23 11:25:13	ga_s2am_ard_3-2-1_51JVK_2023-12-23_final.stac-item
2024-01-21 11:55:39	ga_s2am_ard_3-2-1_50JKP_2024-01-21_final.stac-item
2024-01-22 11:22:59	ga_s2am_ard_3-2-1_52KBC_2024-01-22_final.stac-item
2024-01-22 11:24:15	ga_s2am_ard_3-2-1_51JYN_2024-01-22_final.stac-item
2024-02-14 11:33:39	ga_s2am_ard_3-2-1_51KWR_2024-02-14_final.stac-item
2024-03-05 11:32:22	ga_s2am_ard_3-2-1_51KYA_2024-03-05_final.stac-item
2024-03-18 11:45:51	ga_s2am_ard_3-2-1_50JPN_2024-03-18_final.stac-item
2024-03-26 11:04:12	ga_s2am_ard_3-2-1_52JGT_2024-03-26_final.stac-item
2024-04-10 11:53:36	ga_s2am_ard_3-2-1_50KPB_2024-04-10_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