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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
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51JYG_2016-02-10_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KYT_2016-04-23_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KDE_2016-05-10_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KGB_2016-05-27_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KUT_2016-06-18_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51JYN_2016-08-11_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51JXL_2016-08-31_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KDA_2016-09-27_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51KVQ_2016-10-03_final.stac-item
2016-10-24 10:57:12	ga_s2am_ard_3-2-1_52KGE_2016-10-24_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JMT_2016-10-29_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51JZM_2016-12-16_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KGD_2017-01-12_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52JBM_2017-01-15_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51LVC_2017-02-13_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_52LBJ_2017-04-28_final
2017-08-07 10:53:16	ga_s2am_ard_3-2-1_52JGP_2017-08-07_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51JZM_2017-11-01_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWG_2017-12-04_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JXN_2017-12-04_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_52JFM_2017-12-25_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KYT_2018-03-24_final
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_52KDA_2018-04-10_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KYR_2018-04-23_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_52KBB_2018-04-23_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52KFB_2018-05-07_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KYS_2018-06-22_final
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_52KCV_2018-08-28_final
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_52KBB_2018-10-20_final
2018-11-09 11:25:05	ga_s2am_ard_3-2-1_51JXK_2018-11-09_final
2018-11-29 11:21:27	ga_s2am_ard_3-2-1_52LCJ_2018-11-29_final
2018-12-16 11:12:23	ga_s2am_ard_3-2-1_52KEE_2018-12-16_final
2018-12-26 11:14:31	ga_s2am_ard_3-2-1_52JBS_2018-12-26_final
2019-01-05 11:14:32	ga_s2am_ard_3-2-1_52JBS_2019-01-05_final
2019-01-25 11:11:12	ga_s2am_ard_3-2-1_52LFK_2019-01-25_final
2019-02-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-02-10_final
2019-03-08 11:56:20	ga_s2am_ard_3-2-1_50JLL_2019-03-08_final
2019-05-02 11:01:03	ga_s2am_ard_3-2-1_52LHL_2019-05-02_final
2019-05-15 11:16:30	ga_s2am_ard_3-2-1_51HXE_2019-05-15_final
2019-06-21 11:03:20	ga_s2am_ard_3-2-1_52KFB_2019-06-21_final
2019-07-17 11:23:15	ga_s2am_ard_3-2-1_51KYT_2019-07-17_final
2019-07-24 11:15:41	ga_s2am_ard_3-2-1_52JBN_2019-07-24_final
2019-10-05 11:23:08	ga_s2am_ard_3-2-1_52KBC_2019-10-05_final
2019-10-08 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-10-08_final
2019-10-08 11:34:17	ga_s2am_ard_3-2-1_51KVP_2019-10-08_final
2019-10-25 11:24:26	ga_s2am_ard_3-2-1_51JYN_2019-10-25_final
2019-10-25 11:24:58	ga_s2am_ard_3-2-1_51JXL_2019-10-25_final
2019-11-07 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-11-07_final
2019-11-08 11:04:35	ga_s2am_ard_3-2-1_52JES_2019-11-08_final
2019-11-08 11:05:37	ga_s2am_ard_3-2-1_52JDN_2019-11-08_final
2019-11-20 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-11-20_final
2019-12-15 10:54:39	ga_s2am_ard_3-2-1_52JGR_2019-12-15_final
2020-03-13 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2020-03-13_final
2020-04-06 11:04:00	ga_s2am_ard_3-2-1_52KEU_2020-04-06_final
2020-07-21 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-07-21_final
2020-09-23 11:03:36	ga_s2am_ard_3-2-1_52KFA_2020-09-23_final
2020-10-29 11:25:15	ga_s2am_ard_3-2-1_51JXK_2020-10-29_final
2020-11-14 11:46:23	ga_s2am_ard_3-2-1_50JPL_2020-11-14_final
2021-03-09 10:55:13	ga_s2am_ard_3-2-1_52JGP_2021-03-09_final
2021-03-18 11:23:05	ga_s2am_ard_3-2-1_52KBC_2021-03-18_final
2021-04-27 11:23:07	ga_s2am_ard_3-2-1_51KYT_2021-04-27_final
2021-05-14 11:13:51	ga_s2am_ard_3-2-1_52KCV_2021-05-14_final
2021-05-17 11:23:39	ga_s2am_ard_3-2-1_51KYR_2021-05-17_final
2021-07-16 11:23:42	ga_s2am_ard_3-2-1_51KYR_2021-07-16_final
2021-07-22 11:43:18	ga_s2am_ard_3-2-1_51KUT_2021-07-22_final
2021-07-26 11:23:43	ga_s2am_ard_3-2-1_51KYR_2021-07-26_final
2021-08-02 11:13:51	ga_s2am_ard_3-2-1_52KDV_2021-08-02_final
2021-08-22 11:13:50	ga_s2am_ard_3-2-1_52KDV_2021-08-22_final
2021-08-28 11:32:56	ga_s2am_ard_3-2-1_51KXU_2021-08-28_final
2021-09-24 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-09-24_final
2021-10-14 11:24:17	ga_s2am_ard_3-2-1_51KXP_2021-10-14_final
2021-10-21 11:14:55	ga_s2am_ard_3-2-1_52JCR_2021-10-21_final
2021-10-27 11:34:34	ga_s2am_ard_3-2-1_51JVN_2021-10-27_final
2021-12-13 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2021-12-13_final
2022-01-06 11:05:03	ga_s2am_ard_3-2-1_52JEQ_2022-01-06_final
2022-02-02 10:55:42	ga_s2am_ard_3-2-1_52JGM_2022-02-02_final
2022-04-06 11:02:13	ga_s2am_ard_3-2-1_52KHF_2022-04-06_final
2022-04-12 11:23:12	ga_s2am_ard_3-2-1_51KYT_2022-04-12_final
2022-06-21 11:23:51	ga_s2am_ard_3-2-1_51KYR_2022-06-21_final
2022-07-31 11:23:49	ga_s2am_ard_3-2-1_51KYR_2022-07-31_final
2022-08-17 11:14:04	ga_s2am_ard_3-2-1_52KCV_2022-08-17_final
2022-09-22 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-09-22_final.stac-item
2022-10-16 11:16:12	ga_s2am_ard_3-2-1_51JYF_2022-10-16_final.stac-item
2022-10-19 11:23:23	ga_s2am_ard_3-2-1_51KZS_2022-10-19_final.stac-item
2022-11-02 11:04:36	ga_s2am_ard_3-2-1_52JES_2022-11-02_final.stac-item
2022-12-25 11:16:04	ga_s2am_ard_3-2-1_52JBL_2022-12-25_final.stac-item
2023-01-04 11:16:54	ga_s2am_ard_3-2-1_51HXC_2023-01-04_final.stac-item
2023-01-27 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-01-27_final.stac-item
2023-03-02 11:02:59	ga_s2am_ard_3-2-1_52KFC_2023-03-02_final.stac-item
2023-03-05 11:14:17	ga_s2am_ard_3-2-1_52JCT_2023-03-05_final.stac-item
2023-03-15 11:14:50	ga_s2am_ard_3-2-1_52JBR_2023-03-15_final.stac-item
2023-03-22 11:04:02	ga_s2am_ard_3-2-1_52KEU_2023-03-22_final.stac-item
2023-08-22 11:16:14	ga_s2am_ard_3-2-1_51JYF_2023-08-22_final.stac-item
2023-09-04 11:25:00	ga_s2am_ard_3-2-1_51JXL_2023-09-04_final.stac-item
2023-09-11 11:13:56	ga_s2am_ard_3-2-1_52KCV_2023-09-11_final.stac-item
2023-10-11 11:13:50	ga_s2am_ard_3-2-1_52KCV_2023-10-11_final.stac-item
2023-10-11 11:14:51	ga_s2am_ard_3-2-1_52JBR_2023-10-11_final.stac-item
2023-10-17 11:34:28	ga_s2am_ard_3-2-1_51JVN_2023-10-17_final.stac-item
2023-12-14 10:54:54	ga_s2am_ard_3-2-1_52JGQ_2023-12-14_final.stac-item
2024-01-09 11:16:01	ga_s2am_ard_3-2-1_52JBL_2024-01-09_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