Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-08-28 10:51:18	ga_s2am_ard_3-2-1_53KLU_2015-08-28_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JWL_2015-11-25_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVA_2016-05-09_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KGP_2016-06-04_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53KPP_2016-07-10_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYJ_2016-07-29_final.stac-item
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KCB_2017-01-05_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HVD_2017-02-17_final.stac-item
2017-03-30 10:52:12	ga_s2am_ard_3-2-1_52KGU_2017-03-30_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HUE_2017-05-11_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-08-08_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKS_2017-08-08_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JVF_2017-09-08_final.stac-item
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KGC_2017-10-09_final.stac-item
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_52JFQ_2017-12-25_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JBQ_2017-12-31_final.stac-item
2018-01-10 11:12:06	ga_s2am_ard_3-2-1_52KCE_2018-01-10_final.stac-item
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KHC_2018-02-16_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JVK_2018-06-05_final.stac-item
2018-06-17 10:27:07	ga_s2am_ard_3-2-1_53HNB_2018-06-17_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JTF_2018-10-03_final.stac-item
2018-11-23 11:00:52	ga_s2am_ard_3-2-1_52LHL_2018-11-23_final.stac-item
2019-01-16 10:45:56	ga_s2am_ard_3-2-1_52JGL_2019-01-16_final.stac-item
2019-02-06 10:16:43	ga_s2am_ard_3-2-1_54HUG_2019-02-06_final.stac-item
2019-04-11 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2019-04-11_final.stac-item
2019-04-17 10:17:06	ga_s2am_ard_3-2-1_54HTF_2019-04-17_final.stac-item
2019-04-25 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-04-25_final.stac-item
2019-05-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-18_final.stac-item
2019-07-08 10:52:15	ga_s2am_ard_3-2-1_53KNA_2019-07-08_final.stac-item
2019-08-26 11:25:00	ga_s2am_ard_3-2-1_51JWL_2019-08-26_final.stac-item
2019-12-17 11:32:35	ga_s2am_ard_3-2-1_51KXV_2019-12-17_final.stac-item
2020-01-03 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2020-01-03_final.stac-item
2020-01-13 11:24:38	ga_s2am_ard_3-2-1_51JWM_2020-01-13_final.stac-item
2020-02-12 11:21:52	ga_s2am_ard_3-2-1_51LYC_2020-02-12_final.stac-item
2020-03-20 11:16:16	ga_s2am_ard_3-2-1_52HBK_2020-03-20_final.stac-item
2020-03-25 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-25_final.stac-item
2020-04-05 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-04-05_final.stac-item
2020-05-12 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-05-12_final.stac-item
2020-06-22 10:55:28	ga_s2am_ard_3-2-1_52JEP_2020-06-22_final.stac-item
2020-07-04 11:33:08	ga_s2am_ard_3-2-1_51KYT_2020-07-04_final.stac-item
2020-08-07 11:16:43	ga_s2am_ard_3-2-1_51HYD_2020-08-07_final.stac-item
2020-08-08 10:41:00	ga_s2am_ard_3-2-1_53LPF_2020-08-08_final.stac-item
2020-08-09 10:17:03	ga_s2am_ard_3-2-1_54HVF_2020-08-09_final.stac-item
2020-10-15 11:42:43	ga_s2am_ard_3-2-1_51KUA_2020-10-15_final.stac-item
2020-11-05 11:14:25	ga_s2am_ard_3-2-1_52JCT_2020-11-05_final.stac-item
2020-12-12 11:00:45	ga_s2am_ard_3-2-1_53LMF_2020-12-12_final.stac-item
2020-12-21 11:33:33	ga_s2am_ard_3-2-1_51KUS_2020-12-21_final.stac-item
2021-01-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-01-14_final.stac-item
2021-01-30 11:32:37	ga_s2am_ard_3-2-1_51KYV_2021-01-30_final.stac-item
2021-02-08 10:26:53	ga_s2am_ard_3-2-1_53HNB_2021-02-08_final.stac-item
2021-02-20 11:00:39	ga_s2am_ard_3-2-1_53LLG_2021-02-20_final.stac-item
2021-02-20 11:02:03	ga_s2am_ard_3-2-1_53KLA_2021-02-20_final.stac-item
2021-03-13 10:35:34	ga_s2am_ard_3-2-1_53JPG_2021-03-13_final.stac-item
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGP_2021-04-02_final.stac-item
2021-04-15 10:46:18	ga_s2am_ard_3-2-1_53HLD_2021-04-15_final.stac-item
2021-04-21 11:06:19	ga_s2am_ard_3-2-1_52HBK_2021-04-21_final.stac-item
2021-05-10 09:58:04	ga_s2am_ard_3-2-1_54GYA_2021-05-10_final.stac-item
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final.stac-item
2021-06-08 10:26:51	ga_s2am_ard_3-2-1_54HUF_2021-06-08_final.stac-item
2021-07-12 11:44:48	ga_s2am_ard_3-2-1_51JTM_2021-07-12_final.stac-item
2021-11-11 10:45:07	ga_s2am_ard_3-2-1_53JNJ_2021-11-11_final.stac-item
2021-12-04 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-12-04_final.stac-item
2021-12-15 10:24:51	ga_s2am_ard_3-2-1_53JQK_2021-12-15_final.stac-item
2022-01-16 11:00:49	ga_s2am_ard_3-2-1_53LMF_2022-01-16_final.stac-item
2022-01-27 10:36:28	ga_s2am_ard_3-2-1_53HLD_2022-01-27_final.stac-item
2022-02-11 11:23:09	ga_s2am_ard_3-2-1_51KYT_2022-02-11_final.stac-item
2022-04-13 10:52:22	ga_s2am_ard_3-2-1_53KNV_2022-04-13_final.stac-item
2022-04-18 10:07:15	ga_s2am_ard_3-2-1_54HWE_2022-04-18_final.stac-item
2022-04-30 10:45:16	ga_s2am_ard_3-2-1_53JLJ_2022-04-30_final.stac-item
2022-05-12 11:25:37	ga_s2am_ard_3-2-1_51JYH_2022-05-12_final.stac-item
2022-05-14 10:26:16	ga_s2am_ard_3-2-1_54HUJ_2022-05-14_final.stac-item
2022-06-08 11:16:28	ga_s2am_ard_3-2-1_51JWF_2022-06-08_final.stac-item
2022-06-12 10:55:49	ga_s2am_ard_3-2-1_53JKG_2022-06-12_final.stac-item
2022-09-28 10:16:59	ga_s2am_ard_3-2-1_53HQB_2022-09-28_final.stac-item
2022-11-11 11:36:41	ga_s2am_ard_3-2-1_50HPK_2022-11-11_final.stac-item
2022-11-25 11:10:24	ga_s2am_ard_3-2-1_52LHN_2022-11-25_final.stac-item
2023-01-01 11:03:07	ga_s2am_ard_3-2-1_53KKS_2023-01-01_final.stac-item
2023-01-20 11:31:48	ga_s2am_ard_3-2-1_51LYC_2023-01-20_final.stac-item
2023-02-05 10:17:24	ga_s2am_ard_3-2-1_54HVD_2023-02-05_final
2023-02-20 11:03:17	ga_s2am_ard_3-2-1_52KEB_2023-02-20_nrt.stac-item
2023-03-04 11:41:55	ga_s2am_ard_3-2-1_51LVC_2023-03-04_final
2023-04-02 10:36:45	ga_s2am_ard_3-2-1_53HPB_2023-04-02_final
2023-04-05 10:45:36	ga_s2am_ard_3-2-1_53JMG_2023-04-05_final
2023-04-05 10:46:20	ga_s2am_ard_3-2-1_53HMD_2023-04-05_final
2023-04-30 11:33:13	ga_s2am_ard_3-2-1_51KWT_2023-04-30_final
2023-05-20 11:33:15	ga_s2am_ard_3-2-1_51KWT_2023-05-20_final
2023-06-02 10:07:30	ga_s2am_ard_3-2-1_54HWD_2023-06-02_final
2023-06-04 10:45:22	ga_s2am_ard_3-2-1_53JNH_2023-06-04_final
2023-06-27 10:54:33	ga_s2am_ard_3-2-1_52JGS_2023-06-27_final
2023-06-29 11:31:10	ga_s2am_ard_3-2-1_51LZF_2023-06-29_final
2023-08-25 09:48:15	ga_s2am_ard_3-2-1_54GYA_2023-08-25_final
2023-08-31 10:07:06	ga_s2am_ard_3-2-1_54HVF_2023-08-31_final
2023-11-17 11:05:35	ga_s2am_ard_3-2-1_52JCN_2023-11-17_final
2024-01-24 10:26:53	ga_s2am_ard_3-2-1_54HTF_2024-01-24_final
2024-01-29 11:11:11	ga_s2am_ard_3-2-1_52LFK_2024-01-29_final
2024-01-29 11:14:24	ga_s2am_ard_3-2-1_51JYN_2024-01-29_final
2024-02-03 10:24:00	ga_s2am_ard_3-2-1_53JRN_2024-02-03_final
2024-02-09 10:41:45	ga_s2am_ard_3-2-1_53KQB_2024-02-09_final
2024-03-15 11:35:50	ga_s2am_ard_3-2-1_50JQN_2024-03-15_final
2024-03-22 11:26:01	ga_s2am_ard_3-2-1_51JVG_2024-03-22_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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