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
2015-11-20 10:31:10	ga_s2am_ard_3-2-1_53HNB_2015-11-20_final.stac-item
2016-02-10 11:07:16	ga_s2am_ard_3-2-1_52LFL_2016-02-10_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPJ_2016-03-20_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KWQ_2017-05-18_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52KBU_2017-06-07_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JMM_2017-08-12_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JBM_2017-09-29_final
2017-12-31 11:07:06	ga_s2am_ard_3-2-1_52LFJ_2017-12-31_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYR_2018-03-04_final
2018-03-11 11:07:08	ga_s2am_ard_3-2-1_52KEF_2018-03-11_final
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52LGM_2018-03-18_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50HPJ_2018-03-27_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KVA_2018-04-19_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KWQ_2018-05-06_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KLV_2018-05-25_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KVB_2018-06-15_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51HTC_2018-06-15_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51KXQ_2018-07-22_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JUF_2018-08-04_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JQL_2018-09-06_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KWP_2018-09-23_final
2018-11-18 11:56:59	ga_s2am_ard_3-2-1_50HMH_2018-11-18_final
2018-12-09 11:23:16	ga_s2am_ard_3-2-1_51KYS_2018-12-09_final
2019-01-15 11:15:03	ga_s2am_ard_3-2-1_52JBQ_2019-01-15_final
2019-02-18 10:55:53	ga_s2am_ard_3-2-1_52JGL_2019-02-18_final
2019-02-27 11:23:34	ga_s2am_ard_3-2-1_51KYR_2019-02-27_final
2019-04-11 11:33:25	ga_s2am_ard_3-2-1_51KXS_2019-04-11_final
2019-04-22 11:03:52	ga_s2am_ard_3-2-1_52KEV_2019-04-22_final
2019-05-10 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-05-10_final
2019-09-23 10:46:10	ga_s2am_ard_3-2-1_53HLE_2019-09-23_final
2019-11-06 10:26:10	ga_s2am_ard_3-2-1_53HPE_2019-11-06_final
2019-12-07 11:33:31	ga_s2am_ard_3-2-1_51KUS_2019-12-07_final
2020-01-16 11:32:16	ga_s2am_ard_3-2-1_51KYA_2020-01-16_final
2020-01-27 11:03:27	ga_s2am_ard_3-2-1_52KEA_2020-01-27_final
2020-01-28 10:35:59	ga_s2am_ard_3-2-1_53HNE_2020-01-28_final
2020-02-14 12:04:06	ga_s2am_ard_3-2-1_50KKV_2020-02-14_final
2020-02-29 11:11:26	ga_s2am_ard_3-2-1_52LFJ_2020-02-29_final
2020-03-13 11:23:06	ga_s2am_ard_3-2-1_51KYT_2020-03-13_final
2020-04-02 11:24:01	ga_s2am_ard_3-2-1_52KBU_2020-04-02_final
2020-05-04 12:04:17	ga_s2am_ard_3-2-1_50KKV_2020-05-04_final
2020-05-18 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-05-18_final
2020-05-22 11:27:00	ga_s2am_ard_3-2-1_51HWC_2020-05-22_final.stac-item
2020-05-27 10:36:34	ga_s2am_ard_3-2-1_53HLD_2020-05-27_final
2020-07-05 11:05:17	ga_s2am_ard_3-2-1_52JFP_2020-07-05_final
2020-07-11 11:24:03	ga_s2am_ard_3-2-1_52KBU_2020-07-11_final
2020-07-14 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-07-14_final
2020-08-07 11:10:43	ga_s2am_ard_3-2-1_52LHM_2020-08-07_final
2020-08-07 11:16:14	ga_s2am_ard_3-2-1_51JYF_2020-08-07_final
2020-10-09 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-10-09_final
2020-11-01 11:31:40	ga_s2am_ard_3-2-1_51LZD_2020-11-01_final
2020-11-30 10:26:50	ga_s2am_ard_3-2-1_53HPB_2020-11-30_final
2021-01-20 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-01-20_final
2021-02-08 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-08_final
2021-02-13 11:10:31	ga_s2am_ard_3-2-1_52LFN_2021-02-13_final.stac-item
2021-02-28 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-02-28_final
2021-04-23 11:46:29	ga_s2am_ard_3-2-1_50HPK_2021-04-23_final
2021-05-09 10:26:35	ga_s2am_ard_3-2-1_53HPC_2021-05-09_final
2021-05-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-05-09_final
2021-05-20 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-05-20_final
2021-06-19 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-06-19_final
2021-07-12 11:42:16	ga_s2am_ard_3-2-1_51KVB_2021-07-12_final
2021-09-06 10:27:02	ga_s2am_ard_3-2-1_53HQA_2021-09-06_final
2021-10-10 11:43:34	ga_s2am_ard_3-2-1_51KUS_2021-10-10_final
2021-11-10 11:13:57	ga_s2am_ard_3-2-1_52KBV_2021-11-10_final
2021-11-15 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-11-15_final
2021-11-26 11:33:48	ga_s2am_ard_3-2-1_51KUR_2021-11-26_final
2021-12-27 11:01:19	ga_s2am_ard_3-2-1_52LGK_2021-12-27_final
2022-01-05 11:31:40	ga_s2am_ard_3-2-1_51LYD_2022-01-05_final
2022-02-08 11:16:43	ga_s2am_ard_3-2-1_51HWD_2022-02-08_final
2022-03-05 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-03-15 10:27:05	ga_s2am_ard_3-2-1_53HQA_2022-03-15_final
2022-05-05 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-05-05_final
2022-05-26 11:03:17	ga_s2am_ard_3-2-1_52KHB_2022-05-26_final
2022-07-20 11:53:47	ga_s2am_ard_3-2-1_50KPB_2022-07-20_final
2022-08-10 11:26:59	ga_s2am_ard_3-2-1_51HUD_2022-08-10_final
2022-08-23 11:32:32	ga_s2am_ard_3-2-1_51KVB_2022-08-23_final
2022-10-18 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-18_final.stac-item
2022-10-31 12:04:03	ga_s2am_ard_3-2-1_50KKA_2022-10-31_final.stac-item
2022-11-02 11:03:38	ga_s2am_ard_3-2-1_52KEA_2022-11-02_final.stac-item
2023-02-21 10:36:22	ga_s2am_ard_3-2-1_53HMD_2023-02-21_final.stac-item
2023-02-23 11:12:29	ga_s2am_ard_3-2-1_52KEE_2023-02-23_final.stac-item
2023-03-01 11:32:12	ga_s2am_ard_3-2-1_51KWB_2023-03-01_final.stac-item
2023-03-28 11:26:37	ga_s2am_ard_3-2-1_51HVD_2023-03-28_final.stac-item
2023-05-17 11:21:25	ga_s2am_ard_3-2-1_52LBK_2023-05-17_final.stac-item
2023-05-26 11:56:43	ga_s2am_ard_3-2-1_50HLK_2023-05-26_final.stac-item
2023-05-27 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-05-27_final.stac-item
2023-06-07 10:55:02	ga_s2am_ard_3-2-1_52JGQ_2023-06-07_final.stac-item
2023-06-13 11:11:09	ga_s2am_ard_3-2-1_52LEL_2023-06-13_final.stac-item
2023-06-26 11:21:29	ga_s2am_ard_3-2-1_51LZE_2023-06-26_final.stac-item
2023-07-05 11:54:53	ga_s2am_ard_3-2-1_50JPS_2023-07-05_final.stac-item
2023-08-15 11:24:42	ga_s2am_ard_3-2-1_51JYM_2023-08-15_final.stac-item
2023-10-21 11:11:01	ga_s2am_ard_3-2-1_52LFL_2023-10-21_final.stac-item
2023-10-27 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-10-27_final.stac-item
2024-01-04 12:03:20	ga_s2am_ard_3-2-1_50KMC_2024-01-04_final.stac-item
2024-02-25 11:02:36	ga_s2am_ard_3-2-1_52KGE_2024-02-25_final.stac-item
2024-03-10 10:45:47	ga_s2am_ard_3-2-1_52JGM_2024-03-10_final.stac-item
2024-03-11 11:55:39	ga_s2am_ard_3-2-1_50JMP_2024-03-11_final.stac-item
2024-03-19 11:10:33	ga_s2am_ard_3-2-1_52LFN_2024-03-19_final.stac-item
2024-04-18 11:13:51	ga_s2am_ard_3-2-1_52KDV_2024-04-18_final.stac-item
2024-04-21 11:23:31	ga_s2am_ard_3-2-1_51KXS_2024-04-21_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