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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52KCC_2015-12-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KWR_2016-01-07_final.stac-item
2016-01-31 11:10:33	ga_s2am_ard_3-2-1_52LFL_2016-01-31_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53HPA_2016-03-29_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JPL_2016-07-07_final.stac-item
2016-08-03 10:26:41	ga_s2am_ard_3-2-1_53HPC_2016-08-03_final.stac-item
2016-09-04 11:00:40	ga_s2am_ard_3-2-1_53LLG_2016-09-04_final.stac-item
2016-09-05 10:28:01	ga_s2am_ard_3-2-1_53JQL_2016-09-05_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-09-15_final.stac-item
2016-10-12 10:25:59	ga_s2am_ard_3-2-1_53HPE_2016-10-12_final.stac-item
2016-12-30 10:48:09	ga_s2am_ard_3-2-1_52KHA_2016-12-30_final
2017-01-19 10:47:10	ga_s2am_ard_3-2-1_53LLF_2017-01-19_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KCF_2017-02-24_final
2017-04-30 10:23:09	ga_s2am_ard_3-2-1_53HQC_2017-04-30_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_52JBR_2017-06-07_final
2017-09-25 11:26:05	ga_s2am_ard_3-2-1_51HWE_2017-09-25_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KHC_2017-10-09_final
2017-11-25 10:52:48	ga_s2am_ard_3-2-1_53KKT_2017-11-25_final
2018-01-02 10:11:25	ga_s2am_ard_3-2-1_54HVF_2018-01-02_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXH_2018-01-13_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVP_2018-02-15_final
2018-03-12 10:37:23	ga_s2am_ard_3-2-1_53KNP_2018-03-12_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52KDV_2018-04-20_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50KPU_2018-06-18_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51HTC_2018-06-25_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KVB_2018-06-28_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_53KNU_2018-08-02_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JQN_2018-08-07_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVR_2018-08-24_final
2018-09-17 11:07:08	ga_s2am_ard_3-2-1_52KDF_2018-09-17_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53JQM_2018-11-04_final
2018-11-06 11:15:35	ga_s2am_ard_3-2-1_51JYH_2018-11-06_final
2019-01-28 11:22:52	ga_s2am_ard_3-2-1_51KYU_2019-01-28_final
2019-03-28 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2019-03-28_final
2019-04-03 10:33:06	ga_s2am_ard_3-2-1_53KQS_2019-04-03_final
2019-05-29 10:55:48	ga_s2am_ard_3-2-1_52JFM_2019-05-29_final
2019-06-24 11:13:34	ga_s2am_ard_3-2-1_52KEA_2019-06-24_final
2019-06-26 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-06-26_final
2019-08-31 12:15:11	ga_s2am_ard_3-2-1_49JGL_2019-08-31_final
2019-10-04 11:55:48	ga_s2am_ard_3-2-1_50JKP_2019-10-04_final
2019-10-08 11:33:18	ga_s2am_ard_3-2-1_51KVT_2019-10-08_final
2019-12-27 11:34:00	ga_s2am_ard_3-2-1_51KXP_2019-12-27_final
2020-01-22 10:16:58	ga_s2am_ard_3-2-1_53HQA_2020-01-22_final
2020-02-14 10:26:23	ga_s2am_ard_3-2-1_54HTH_2020-02-14_final
2020-03-23 11:22:23	ga_s2am_ard_3-2-1_51KYA_2020-03-23_final
2020-04-25 11:36:45	ga_s2am_ard_3-2-1_51HUD_2020-04-25_final
2020-05-29 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-05-29_final
2020-06-21 11:25:44	ga_s2am_ard_3-2-1_51JXH_2020-06-21_final
2020-06-23 10:26:27	ga_s2am_ard_3-2-1_53HPD_2020-06-23_final
2020-07-07 11:44:20	ga_s2am_ard_3-2-1_50KRU_2020-07-07_final
2020-08-13 11:33:09	ga_s2am_ard_3-2-1_51KXU_2020-08-13_final
2020-09-18 10:16:32	ga_s2am_ard_3-2-1_54HVH_2020-09-18_final
2020-10-19 11:23:16	ga_s2am_ard_3-2-1_51KYT_2020-10-19_final
2021-01-31 11:05:16	ga_s2am_ard_3-2-1_52JEP_2021-01-31_final
2021-02-17 10:50:48	ga_s2am_ard_3-2-1_53LPF_2021-02-17_final
2021-02-22 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-02-22_final
2021-03-10 10:26:12	ga_s2am_ard_3-2-1_54HUJ_2021-03-10_final
2021-04-07 11:25:02	ga_s2am_ard_3-2-1_51JYK_2021-04-07_final
2021-04-11 11:01:12	ga_s2am_ard_3-2-1_52LGK_2021-04-11_final
2021-04-17 11:23:00	ga_s2am_ard_3-2-1_52KBC_2021-04-17_final
2021-04-30 11:36:21	ga_s2am_ard_3-2-1_51HVE_2021-04-30_final
2021-11-11 10:44:56	ga_s2am_ard_3-2-1_53JMK_2021-11-11_final
2021-12-02 11:53:50	ga_s2am_ard_3-2-1_50KPA_2021-12-02_final
2021-12-16 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-12-16_final
2022-01-26 11:01:15	ga_s2am_ard_3-2-1_52LGK_2022-01-26_final
2022-03-03 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-03-03_final
2022-03-22 11:54:12	ga_s2am_ard_3-2-1_50KPV_2022-03-22_final
2022-05-31 11:53:50	ga_s2am_ard_3-2-1_50KMB_2022-05-31_final
2022-05-31 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-05-31_final
2022-06-18 11:14:32	ga_s2am_ard_3-2-1_52JCT_2022-06-18_final
2022-07-11 09:48:22	ga_s2am_ard_3-2-1_54GYA_2022-07-11_final
2022-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVS_2022-07-14_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-07-19 10:45:55	ga_s2am_ard_3-2-1_53JKG_2022-07-19_final
2022-08-16 10:06:46	ga_s2am_ard_3-2-1_54HVH_2022-08-16_final.stac-item
2022-10-29 11:23:53	ga_s2am_ard_3-2-1_52KBV_2022-10-29_final.stac-item
2022-11-03 10:33:39	ga_s2am_ard_3-2-1_53KQQ_2022-11-03_final.stac-item
2022-12-22 11:04:55	ga_s2am_ard_3-2-1_52JFQ_2022-12-22_final.stac-item
2023-01-04 11:16:11	ga_s2am_ard_3-2-1_51JXF_2023-01-04_final.stac-item
2023-01-11 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-01-11_final.stac-item
2023-02-13 11:12:18	ga_s2am_ard_3-2-1_52KDF_2023-02-13_final.stac-item
2023-04-01 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-04-01_final.stac-item
2023-05-12 10:31:34	ga_s2am_ard_3-2-1_53LRC_2023-05-12_nrt.stac-item
2023-05-17 11:23:04	ga_s2am_ard_3-2-1_52KCC_2023-05-17_final.stac-item
2023-05-22 10:33:41	ga_s2am_ard_3-2-1_53KPQ_2023-05-22_final.stac-item
2023-05-23 11:42:30	ga_s2am_ard_3-2-1_51KVA_2023-05-23_final.stac-item
2023-06-18 12:04:25	ga_s2am_ard_3-2-1_50KMU_2023-06-18_final.stac-item
2023-06-19 11:35:54	ga_s2am_ard_3-2-1_50JQN_2023-06-19_final.stac-item
2023-07-02 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-07-02_final.stac-item
2023-08-17 10:26:38	ga_s2am_ard_3-2-1_53HQC_2023-08-17_final.stac-item
2023-11-09 10:07:11	ga_s2am_ard_3-2-1_54HWE_2023-11-09_final.stac-item
2023-11-13 11:23:24	ga_s2am_ard_3-2-1_51KYS_2023-11-13_final.stac-item
2023-12-16 11:33:05	ga_s2am_ard_3-2-1_51KXT_2023-12-16_final.stac-item
2024-02-09 10:41:26	ga_s2am_ard_3-2-1_53LRC_2024-02-09_final.stac-item
2024-02-12 10:52:09	ga_s2am_ard_3-2-1_53KLA_2024-02-12_final.stac-item
2024-02-13 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2024-02-13_final.stac-item
2024-02-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_final.stac-item
2024-03-03 10:53:32	ga_s2am_ard_3-2-1_52KGA_2024-03-03_final.stac-item
2024-04-11 11:25:10	ga_s2am_ard_3-2-1_51JXK_2024-04-11_final.stac-item
2024-06-02 12:04:46	ga_s2am_ard_3-2-1_49JHN_2024-06-02_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

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