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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMJ_2015-11-14_final.stac-item
2015-11-23 10:43:19	ga_s2am_ard_3-2-1_53JPM_2015-11-23_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQG_2016-01-03_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_53JQL_2016-03-06_final.stac-item
2016-03-18 11:02:07	ga_s2am_ard_3-2-1_52KEC_2016-03-18_final.stac-item
2016-03-25 10:52:14	ga_s2am_ard_3-2-1_53KKU_2016-03-25_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JTG_2016-04-06_final.stac-item
2016-04-07 11:02:08	ga_s2am_ard_3-2-1_52KFF_2016-04-07_final.stac-item
2016-04-11 10:43:06	ga_s2am_ard_3-2-1_53KPP_2016-04-11_final.stac-item
2016-04-17 11:02:12	ga_s2am_ard_3-2-1_52JDT_2016-04-17_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51LYC_2016-04-23_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JVK_2016-05-03_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52KHD_2016-05-04_final.stac-item
2016-05-05 10:19:53	ga_s2am_ard_3-2-1_53JRN_2016-05-05_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53JKK_2016-05-11_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHS_2016-05-15_final.stac-item
2016-05-21 10:43:13	ga_s2am_ard_3-2-1_53KLP_2016-05-21_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51JXJ_2016-05-30_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52KFG_2016-06-06_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LFJ_2017-01-25_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JPL_2017-05-11_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53HLD_2017-05-26_final
2017-06-22 10:27:07	ga_s2am_ard_3-2-1_53JNN_2017-06-22_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JWL_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KUS_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KVS_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWT_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KXV_2017-09-28_final
2017-12-02 10:43:45	ga_s2am_ard_3-2-1_53JNM_2017-12-02_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KUP_2018-01-06_final
2018-02-17 10:27:04	ga_s2am_ard_3-2-1_53HMC_2018-02-17_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51LWG_2018-04-09_final.stac-item
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51LWG_2018-05-09_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HPJ_2018-06-18_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_52LCK_2018-06-22_final.stac-item
2018-06-30 10:37:28	ga_s2am_ard_3-2-1_53LPD_2018-06-30_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53JQN_2018-07-17_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_53LPH_2018-08-02_final.stac-item
2018-08-06 10:27:08	ga_s2am_ard_3-2-1_53JQM_2018-08-06_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-08-18 11:07:12	ga_s2am_ard_3-2-1_52LFM_2018-08-18_final.stac-item
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53JQM_2018-09-05_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-09-06_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JUF_2018-10-10_final
2018-11-09 11:24:10	ga_s2am_ard_3-2-1_51KWP_2018-11-09_final
2018-11-26 11:10:39	ga_s2am_ard_3-2-1_52LFM_2018-11-26_final.stac-item
2018-11-27 10:41:00	ga_s2am_ard_3-2-1_53LPE_2018-11-27_final
2019-01-01 11:33:03	ga_s2am_ard_3-2-1_51KXT_2019-01-01_final
2019-01-03 10:34:30	ga_s2am_ard_3-2-1_53JPL_2019-01-03_final
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-01-04_final
2019-01-06 10:46:07	ga_s2am_ard_3-2-1_53HKE_2019-01-06_final.stac-item
2019-02-02 10:34:01	ga_s2am_ard_3-2-1_53JQN_2019-02-02_final
2019-07-10 11:33:09	ga_s2am_ard_3-2-1_51KYT_2019-07-10_final
2019-07-12 12:13:45	ga_s2am_ard_3-2-1_50KKB_2019-07-12_final
2019-08-11 10:34:25	ga_s2am_ard_3-2-1_53JPM_2019-08-11_final
2019-08-21 10:36:42	ga_s2am_ard_3-2-1_53HMC_2019-08-21_final.stac-item
2019-10-10 10:34:24	ga_s2am_ard_3-2-1_53JPM_2019-10-10_final
2019-12-30 11:43:06	ga_s2am_ard_3-2-1_51KVT_2019-12-30_final
2020-01-31 10:41:01	ga_s2am_ard_3-2-1_53LPE_2020-01-31_final
2020-04-08 11:40:55	ga_s2am_ard_3-2-1_51LWG_2020-04-08_final.stac-item
2020-05-19 11:10:38	ga_s2am_ard_3-2-1_52LFN_2020-05-19_final.stac-item
2020-07-08 11:13:27	ga_s2am_ard_3-2-1_52KEB_2020-07-08_final
2020-09-15 11:42:21	ga_s2am_ard_3-2-1_51KUB_2020-09-15_final.stac-item
2020-10-14 10:34:24	ga_s2am_ard_3-2-1_53JQM_2020-10-14_final
2020-11-08 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2020-11-08_final
2020-12-03 10:34:06	ga_s2am_ard_3-2-1_53JPN_2020-12-03_final
2020-12-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-17_final
2020-12-18 11:23:26	ga_s2am_ard_3-2-1_51KXS_2020-12-18_final
2020-12-28 11:23:42	ga_s2am_ard_3-2-1_51KXR_2020-12-28_final
2021-01-04 11:13:40	ga_s2am_ard_3-2-1_52KBA_2021-01-04_final
2021-02-21 10:34:21	ga_s2am_ard_3-2-1_53JPM_2021-02-21_final
2021-02-24 10:41:05	ga_s2am_ard_3-2-1_53LQE_2021-02-24_final.stac-item
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-06-11 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-06-11_final
2021-06-11 10:34:33	ga_s2am_ard_3-2-1_53JQL_2021-06-11_final
2021-07-10 11:06:24	ga_s2am_ard_3-2-1_52HCK_2021-07-10_final.stac-item
2021-08-11 11:42:19	ga_s2am_ard_3-2-1_51KUB_2021-08-11_final.stac-item
2021-08-27 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-08-27_final.stac-item
2021-09-12 10:44:03	ga_s2am_ard_3-2-1_53JPN_2021-09-12_final
2021-10-09 10:34:52	ga_s2am_ard_3-2-1_53JQK_2021-10-09_final
2021-10-29 10:34:26	ga_s2am_ard_3-2-1_53JPM_2021-10-29_final
2021-11-18 10:34:07	ga_s2am_ard_3-2-1_53JPN_2021-11-18_final
2022-04-02 11:25:45	ga_s2am_ard_3-2-1_51JYG_2022-04-02_final
2022-04-13 10:56:13	ga_s2am_ard_3-2-1_52HGK_2022-04-13_final.stac-item
2022-04-25 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-04-25_final
2022-05-07 10:34:26	ga_s2am_ard_3-2-1_53JPM_2022-05-07_final
2022-09-12 11:36:21	ga_s2am_ard_3-2-1_51JVF_2022-09-12_final.stac-item
2022-09-26 11:17:06	ga_s2am_ard_3-2-1_51HWC_2022-09-26_final.stac-item
2022-12-16 10:44:02	ga_s2am_ard_3-2-1_53JPN_2022-12-16_final.stac-item
2023-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-02-05_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-27 11:23:31	ga_s2am_ard_3-2-1_52KCA_2023-05-27_final.stac-item
2023-12-20 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2023-12-20_final.stac-item
2024-02-27 11:43:03	ga_s2am_ard_3-2-1_50KRD_2024-02-27_final.stac-item
2024-03-06 11:01:14	ga_s2am_ard_3-2-1_52LHK_2024-03-06_final.stac-item
2024-04-04 11:31:18	ga_s2am_ard_3-2-1_51LYE_2024-04-04_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