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
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53JQL_2015-12-07_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KEC_2016-05-10_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JET_2016-06-06_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYS_2016-09-20_final.stac-item
2016-09-24 11:00:36	ga_s2am_ard_3-2-1_52LHM_2016-09-24_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KMC_2016-12-08_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52LBK_2016-12-29_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUU_2017-01-14_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KUV_2017-01-14_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDD_2017-01-15_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KXT_2017-04-21_final.stac-item
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-06-28_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53HQC_2017-06-29_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53JMF_2017-07-25_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KXT_2017-11-14_final
2017-11-15 10:47:23	ga_s2am_ard_3-2-1_53LME_2017-11-15_final
2018-03-04 11:16:56	ga_s2am_ard_3-2-1_51KYV_2018-03-04_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYU_2018-03-04_final
2018-03-22 10:37:24	ga_s2am_ard_3-2-1_53KPP_2018-03-22_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KXT_2018-05-16_final
2018-06-04 12:02:50	ga_s2am_ard_3-2-1_50KNA_2018-06-04_final
2018-06-25 11:26:21	ga_s2am_ard_3-2-1_51KXT_2018-06-25_final
2018-07-07 10:27:09	ga_s2am_ard_3-2-1_53HMC_2018-07-07_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52LHM_2018-11-03_final
2018-12-22 11:33:26	ga_s2am_ard_3-2-1_51KUS_2018-12-22_final
2019-03-04 10:34:16	ga_s2am_ard_3-2-1_53JPM_2019-03-04_final
2019-03-12 11:33:11	ga_s2am_ard_3-2-1_51KVT_2019-03-12_final
2019-04-11 11:32:56	ga_s2am_ard_3-2-1_51KXU_2019-04-11_final
2019-05-14 11:43:07	ga_s2am_ard_3-2-1_51KTU_2019-05-14_final
2019-05-21 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-21_final
2019-06-19 10:24:55	ga_s2am_ard_3-2-1_53JQK_2019-06-19_final
2019-06-27 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2019-06-27_final
2019-07-11 11:03:40	ga_s2am_ard_3-2-1_52KEA_2019-07-11_final
2019-07-16 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-16_final
2019-09-08 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-09-08_final
2019-11-17 11:32:56	ga_s2am_ard_3-2-1_51KXU_2019-11-17_final
2019-12-24 11:23:08	ga_s2am_ard_3-2-1_51KXT_2019-12-24_final
2020-01-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2020-01-10_final
2020-02-02 11:23:17	ga_s2am_ard_3-2-1_51KYS_2020-02-02_final
2020-02-19 11:15:45	ga_s2am_ard_3-2-1_52JBM_2020-02-19_final
2020-03-26 11:33:20	ga_s2am_ard_3-2-1_51KXS_2020-03-26_final
2020-05-08 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-05-08_final
2020-06-03 10:25:26	ga_s2am_ard_3-2-1_53JQH_2020-06-03_final
2020-06-16 10:34:24	ga_s2am_ard_3-2-1_53JQM_2020-06-16_final
2020-07-31 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-07-31_final
2020-10-14 10:34:19	ga_s2am_ard_3-2-1_53JNN_2020-10-14_final
2020-10-25 11:43:08	ga_s2am_ard_3-2-1_51KTU_2020-10-25_final
2020-11-09 10:55:58	ga_s2am_ard_3-2-1_53JKF_2020-11-09_final
2020-11-23 10:34:09	ga_s2am_ard_3-2-1_53JPN_2020-11-23_final
2020-11-24 11:43:45	ga_s2am_ard_3-2-1_51KUR_2020-11-24_final
2020-12-01 11:32:58	ga_s2am_ard_3-2-1_51KWU_2020-12-01_final
2020-12-26 10:45:43	ga_s2am_ard_3-2-1_53JKG_2020-12-26_final
2021-02-17 10:50:41	ga_s2am_ard_3-2-1_53LMG_2021-02-17_final
2021-02-18 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-18_final
2021-03-06 10:44:16	ga_s2am_ard_3-2-1_53JPM_2021-03-06_final
2021-03-20 10:25:04	ga_s2am_ard_3-2-1_53JQJ_2021-03-20_final
2021-03-29 10:51:05	ga_s2am_ard_3-2-1_53LNE_2021-03-29_final
2021-05-20 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-05-20_final
2021-06-23 11:13:16	ga_s2am_ard_3-2-1_52KEB_2021-06-23_final
2021-07-23 11:13:51	ga_s2am_ard_3-2-1_52KDV_2021-07-23_final
2021-08-13 10:44:19	ga_s2am_ard_3-2-1_53JPM_2021-08-13_final
2021-10-31 11:14:13	ga_s2am_ard_3-2-1_51KZP_2021-10-31_final
2021-11-23 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-11-23_final
2021-12-25 10:27:02	ga_s2am_ard_3-2-1_53HQA_2021-12-25_final
2021-12-26 11:32:40	ga_s2am_ard_3-2-1_51KVV_2021-12-26_final
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final
2022-02-02 10:50:49	ga_s2am_ard_3-2-1_53LPF_2022-02-02_final
2022-03-23 11:23:13	ga_s2am_ard_3-2-1_51KYT_2022-03-23_final
2022-05-04 10:26:51	ga_s2am_ard_3-2-1_53HQB_2022-05-04_final
2022-05-05 11:33:46	ga_s2am_ard_3-2-1_51KWR_2022-05-05_final
2022-05-22 11:23:13	ga_s2am_ard_3-2-1_51KZT_2022-05-22_final
2022-06-28 11:10:45	ga_s2am_ard_3-2-1_52LFN_2022-06-28_final.stac-item
2022-07-11 11:24:02	ga_s2am_ard_3-2-1_52KBV_2022-07-11_final
2022-08-16 11:43:16	ga_s2am_ard_3-2-1_51KTU_2022-08-16_final
2022-08-20 11:23:26	ga_s2am_ard_3-2-1_51KXT_2022-08-20_final
2022-10-12 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2022-10-12_final.stac-item
2022-11-01 11:36:36	ga_s2am_ard_3-2-1_51HTE_2022-11-01_final.stac-item
2022-11-14 11:41:21	ga_s2am_ard_3-2-1_51LUF_2022-11-14_final.stac-item
2022-12-24 11:42:25	ga_s2am_ard_3-2-1_51KVA_2022-12-24_final.stac-item
2023-01-03 11:43:21	ga_s2am_ard_3-2-1_50KQC_2023-01-03_final.stac-item
2023-01-07 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-01-07_final.stac-item
2023-01-18 10:51:17	ga_s2am_ard_3-2-1_53LND_2023-01-18_final.stac-item
2023-03-29 10:54:08	ga_s2am_ard_3-2-1_53JKN_2023-03-29_final.stac-item
2023-04-03 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-04-03_final.stac-item
2023-04-20 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-04-20_final.stac-item
2023-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2023-05-10_final.stac-item
2023-05-14 11:13:44	ga_s2am_ard_3-2-1_52KEV_2023-05-14_final.stac-item
2023-05-20 11:32:57	ga_s2am_ard_3-2-1_51KXU_2023-05-20_final.stac-item
2023-07-06 11:23:12	ga_s2am_ard_3-2-1_51KZT_2023-07-06_final.stac-item
2023-08-25 11:23:34	ga_s2am_ard_3-2-1_51KXS_2023-08-25_final.stac-item
2023-09-24 11:23:09	ga_s2am_ard_3-2-1_51KZT_2023-09-24_final.stac-item
2023-10-06 10:26:51	ga_s2am_ard_3-2-1_53HPB_2023-10-06_final.stac-item
2023-10-25 10:55:46	ga_s2am_ard_3-2-1_52JFM_2023-10-25_final.stac-item
2023-10-29 10:34:07	ga_s2am_ard_3-2-1_53JPN_2023-10-29_final.stac-item
2023-11-19 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-11-19_final.stac-item
2024-03-18 11:43:30	ga_s2am_ard_3-2-1_51KUS_2024-03-18_final.stac-item
2024-03-19 11:10:26	ga_s2am_ard_3-2-1_52LHN_2024-03-19_final.stac-item
2024-05-07 11:43:03	ga_s2am_ard_3-2-1_51KUU_2024-05-07_final.stac-item
2024-05-19 10:46:25	ga_s2am_ard_3-2-1_53HLD_2024-05-19_final.stac-item
2024-05-31 11:23:52	ga_s2am_ard_3-2-1_52KBV_2024-05-31_nrt.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