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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
2016-12-18 10:14:12	ga_s2am_ard_3-2-1_54JXQ_2016-12-18_final
2017-01-16 10:43:08	ga_s2am_ard_3-2-1_53JMM_2017-01-16_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KCA_2017-02-24_final
2017-07-22 10:32:12	ga_s2am_ard_3-2-1_53KRU_2017-07-22_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_54JZS_2017-09-11_final
2018-02-11 10:11:28	ga_s2am_ard_3-2-1_54KXA_2018-02-11_final
2018-04-06 09:50:54	ga_s2am_ard_3-2-1_55JEL_2018-04-06_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54KWB_2018-04-15_final
2018-05-09 10:02:56	ga_s2am_ard_3-2-1_55JBL_2018-05-09_final
2018-05-12 10:07:07	ga_s2am_ard_3-2-1_54JWS_2018-05-12_final
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_54JWN_2018-05-22_final
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_55KER_2018-07-15_final
2018-09-08 10:37:24	ga_s2am_ard_3-2-1_53JMJ_2018-09-08_final
2018-09-10 09:41:06	ga_s2am_ard_3-2-1_55JEF_2018-09-10_final
2018-09-13 09:50:51	ga_s2am_ard_3-2-1_55JDG_2018-09-13_final
2018-09-22 10:17:01	ga_s2am_ard_3-2-1_54KWC_2018-09-22_final
2018-09-29 10:07:01	ga_s2am_ard_3-2-1_54KZC_2018-09-29_final
2018-12-15 10:03:56	ga_s2am_ard_3-2-1_55JCM_2018-12-15_final
2018-12-29 09:44:39	ga_s2am_ard_3-2-1_55JFJ_2018-12-29_final
2019-01-04 10:05:03	ga_s2am_ard_3-2-1_54JYN_2019-01-04_final
2019-02-20 09:55:46	ga_s2am_ard_3-2-1_55HCE_2019-02-20_final
2019-04-23 10:33:05	ga_s2am_ard_3-2-1_53KRS_2019-04-23_final
2019-05-07 10:13:27	ga_s2am_ard_3-2-1_54KYV_2019-05-07_final
2019-05-15 11:11:52	ga_s2am_ard_3-2-1_52LEH_2019-05-15_final
2019-06-08 10:53:30	ga_s2am_ard_3-2-1_53KKR_2019-06-08_final
2019-07-02 10:32:37	ga_s2am_ard_3-2-1_54KTD_2019-07-02_final
2019-07-03 10:04:59	ga_s2am_ard_3-2-1_54JYP_2019-07-03_final
2019-07-16 10:12:16	ga_s2am_ard_3-2-1_54KYE_2019-07-16_final
2019-07-20 09:54:21	ga_s2am_ard_3-2-1_55JEL_2019-07-20_final
2019-07-27 09:45:38	ga_s2am_ard_3-2-1_55JEF_2019-07-27_final
2019-07-31 11:01:18	ga_s2am_ard_3-2-1_52LHK_2019-07-31_final
2019-08-15 10:12:39	ga_s2am_ard_3-2-1_54KZC_2019-08-15_final
2019-08-22 10:03:23	ga_s2am_ard_3-2-1_55KCQ_2019-08-22_final
2019-08-25 10:12:12	ga_s2am_ard_3-2-1_54KYE_2019-08-25_final
2019-09-01 10:03:50	ga_s2am_ard_3-2-1_55JCN_2019-09-01_final
2019-09-14 10:14:09	ga_s2am_ard_3-2-1_54JXS_2019-09-14_final
2019-10-04 10:14:59	ga_s2am_ard_3-2-1_54JWP_2019-10-04_final
2019-10-04 10:15:28	ga_s2am_ard_3-2-1_54JWM_2019-10-04_final
2019-10-07 10:22:59	ga_s2am_ard_3-2-1_54KWB_2019-10-07_final
2019-10-07 10:24:33	ga_s2am_ard_3-2-1_54JUR_2019-10-07_final
2019-10-09 11:05:07	ga_s2am_ard_3-2-1_52JDQ_2019-10-09_final
2019-10-15 09:44:31	ga_s2am_ard_3-2-1_55JGK_2019-10-15_final
2019-11-16 10:23:48	ga_s2am_ard_3-2-1_54KUU_2019-11-16_final
2019-12-17 09:55:59	ga_s2am_ard_3-2-1_55HCD_2019-12-17_final
2020-03-28 10:33:45	ga_s2am_ard_3-2-1_53KQP_2020-03-28_final
2020-03-29 10:04:18	ga_s2am_ard_3-2-1_55JBL_2020-03-29_final
2020-04-27 10:32:36	ga_s2am_ard_3-2-1_53KRU_2020-04-27_final
2020-04-28 10:04:10	ga_s2am_ard_3-2-1_54JZS_2020-04-28_final
2020-06-12 10:51:46	ga_s2am_ard_3-2-1_53LMC_2020-06-12_final
2020-06-13 10:22:19	ga_s2am_ard_3-2-1_54KWE_2020-06-13_final
2020-06-19 10:42:27	ga_s2am_ard_3-2-1_53KPV_2020-06-19_final
2020-06-23 10:22:19	ga_s2am_ard_3-2-1_54KWE_2020-06-23_final
2020-06-23 10:22:33	ga_s2am_ard_3-2-1_54KWD_2020-06-23_final
2020-07-12 10:51:59	ga_s2am_ard_3-2-1_53KMB_2020-07-12_final
2020-07-17 10:03:07	ga_s2am_ard_3-2-1_55KDR_2020-07-17_final
2020-07-22 10:52:00	ga_s2am_ard_3-2-1_53KMB_2020-07-22_final
2020-08-19 10:12:42	ga_s2am_ard_3-2-1_54KZC_2020-08-19_final
2020-08-31 10:55:51	ga_s2am_ard_3-2-1_52JFM_2020-08-31_final
2020-09-10 10:55:02	ga_s2am_ard_3-2-1_52JGQ_2020-09-10_final
2020-09-12 09:54:20	ga_s2am_ard_3-2-1_55JEL_2020-09-12_final
2020-09-12 09:55:22	ga_s2am_ard_3-2-1_55JDG_2020-09-12_final
2020-09-25 10:03:55	ga_s2am_ard_3-2-1_55JCN_2020-09-25_final
2020-10-28 10:14:30	ga_s2am_ard_3-2-1_54JXR_2020-10-28_final
2020-11-07 10:13:42	ga_s2am_ard_3-2-1_54KYU_2020-11-07_final
2020-11-26 10:42:51	ga_s2am_ard_3-2-1_53KPT_2020-11-26_final
2021-03-04 10:03:20	ga_s2am_ard_3-2-1_55KCQ_2021-03-04_final
2021-04-13 10:04:16	ga_s2am_ard_3-2-1_55JBL_2021-04-13_final
2021-04-23 10:04:32	ga_s2am_ard_3-2-1_55JBK_2021-04-23_final
2021-04-23 10:04:50	ga_s2am_ard_3-2-1_54JYP_2021-04-23_final
2021-04-30 09:56:20	ga_s2am_ard_3-2-1_55HBC_2021-04-30_final
2021-05-03 10:04:35	ga_s2am_ard_3-2-1_55JBK_2021-05-03_final
2021-07-11 10:34:07	ga_s2am_ard_3-2-1_53JQN_2021-07-11_final
2021-07-12 10:02:51	ga_s2am_ard_3-2-1_55KDS_2021-07-12_final
2021-07-20 11:01:46	ga_s2am_ard_3-2-1_52LHH_2021-07-20_final
2021-07-25 10:12:39	ga_s2am_ard_3-2-1_54KZC_2021-07-25_final
2021-08-08 09:54:19	ga_s2am_ard_3-2-1_55JEL_2021-08-08_final
2021-09-06 10:23:47	ga_s2am_ard_3-2-1_54KUU_2021-09-06_final
2021-09-10 10:05:37	ga_s2am_ard_3-2-1_54JYL_2021-09-10_final
2021-09-21 11:11:51	ga_s2am_ard_3-2-1_52LEH_2021-09-21_final
2021-09-22 10:44:27	ga_s2am_ard_3-2-1_53JMM_2021-09-22_final
2021-10-12 10:44:15	ga_s2am_ard_3-2-1_53JMN_2021-10-12_final
2021-10-13 10:13:43	ga_s2am_ard_3-2-1_54KYU_2021-10-13_final
2021-11-20 11:12:35	ga_s2am_ard_3-2-1_52KDE_2021-11-20_final
2022-01-07 10:32:31	ga_s2am_ard_3-2-1_54KUD_2022-01-07_final
2022-02-12 10:52:55	ga_s2am_ard_3-2-1_53KLT_2022-02-12_final
2022-04-19 11:12:24	ga_s2am_ard_3-2-1_52KDF_2022-04-19_final
2022-06-07 10:04:48	ga_s2am_ard_3-2-1_54JYQ_2022-06-07_final
2022-06-23 10:21:24	ga_s2am_ard_3-2-1_54LXJ_2022-06-23_final
2022-07-13 10:23:42	ga_s2am_ard_3-2-1_54KVV_2022-07-13_final
2022-07-14 09:56:03	ga_s2am_ard_3-2-1_55HCE_2022-07-14_final
2022-07-30 10:12:46	ga_s2am_ard_3-2-1_54KZC_2022-07-30_final
2022-07-31 11:22:14	ga_s2am_ard_3-2-1_52KCG_2022-07-31_final
2023-03-11 09:56:00	ga_s2am_ard_3-2-1_55HCD_2023-03-11_final.stac-item
2023-04-20 09:55:49	ga_s2am_ard_3-2-1_55HCE_2023-04-20_final.stac-item
2023-04-21 11:05:18	ga_s2am_ard_3-2-1_52JDP_2023-04-21_final.stac-item
2023-04-26 11:52:05	ga_s2am_ard_3-2-1_50LQH_2023-04-26_nrt.stac-item
2023-05-10 09:55:17	ga_s2am_ard_3-2-1_55JDG_2023-05-10_final.stac-item
2023-05-26 11:51:54	ga_s2am_ard_3-2-1_50LQJ_2023-05-26_nrt.stac-item
2023-10-16 10:23:45	ga_s2am_ard_3-2-1_54KUU_2023-10-16_final.stac-item
2023-10-26 10:23:58	ga_s2am_ard_3-2-1_54JVT_2023-10-26_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