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
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVG_2016-02-05_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_51JTJ_2016-02-19_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_53JLJ_2016-03-15_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JNM_2016-07-07_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KUV_2016-11-15_final.stac-item
2017-01-06 10:42:58	ga_s2am_ard_3-2-1_53JPN_2017-01-06_final.stac-item
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54HUK_2017-06-16_final.stac-item
2017-07-21 11:02:55	ga_s2am_ard_3-2-1_52JDT_2017-07-21_final.stac-item
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_51HUC_2017-08-19_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51KXS_2017-12-04_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50JQS_2018-02-08_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYU_2018-03-04_final.stac-item
2018-03-19 10:27:04	ga_s2am_ard_3-2-1_53JQM_2018-03-19_final.stac-item
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_53JRN_2018-04-18_final.stac-item
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52KEA_2018-05-27_final.stac-item
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_54KUG_2018-07-17_final.stac-item
2018-08-03 10:17:06	ga_s2am_ard_3-2-1_54JUQ_2018-08-03_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KXT_2018-08-04_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPH_2018-09-26_final.stac-item
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53JPL_2018-10-28_final.stac-item
2018-12-05 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2018-12-05_final.stac-item
2018-12-07 10:43:58	ga_s2am_ard_3-2-1_53JNN_2018-12-07_final.stac-item
2019-01-18 11:23:21	ga_s2am_ard_3-2-1_51KYS_2019-01-18_final.stac-item
2019-02-22 10:33:56	ga_s2am_ard_3-2-1_53JRN_2019-02-22_final.stac-item
2019-02-27 11:22:51	ga_s2am_ard_3-2-1_51KYU_2019-02-27_final.stac-item
2019-03-16 11:10:34	ga_s2am_ard_3-2-1_52LHM_2019-03-16_final.stac-item
2019-04-10 10:26:55	ga_s2am_ard_3-2-1_53HNB_2019-04-10_final.stac-item
2019-05-02 11:03:23	ga_s2am_ard_3-2-1_52KEB_2019-05-02_final.stac-item
2019-05-24 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-05-24_final.stac-item
2019-06-07 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2019-06-07_final.stac-item
2019-07-12 10:34:09	ga_s2am_ard_3-2-1_53JQN_2019-07-12_final.stac-item
2019-08-02 11:43:34	ga_s2am_ard_3-2-1_51KUS_2019-08-02_final.stac-item
2019-08-08 10:26:51	ga_s2am_ard_3-2-1_53HQB_2019-08-08_final.stac-item
2019-09-08 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-09-08_final.stac-item
2019-12-07 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2019-12-07_final.stac-item
2020-01-06 11:33:17	ga_s2am_ard_3-2-1_51KUT_2020-01-06_final.stac-item
2020-02-10 10:44:13	ga_s2am_ard_3-2-1_53JNM_2020-02-10_final.stac-item
2020-03-18 10:34:10	ga_s2am_ard_3-2-1_53JNN_2020-03-18_final.stac-item
2020-03-18 10:34:10	ga_s2am_ard_3-2-1_53JRM_2020-03-18_final.stac-item
2020-04-15 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2020-04-15_final.stac-item
2020-04-27 10:33:55	ga_s2am_ard_3-2-1_53KPP_2020-04-27_final.stac-item
2020-04-28 11:46:15	ga_s2am_ard_3-2-1_50JMM_2020-04-28_final.stac-item
2020-06-15 11:03:41	ga_s2am_ard_3-2-1_52KEA_2020-06-15_final.stac-item
2020-07-26 10:34:20	ga_s2am_ard_3-2-1_53JRM_2020-07-26_final.stac-item
2020-08-12 10:24:25	ga_s2am_ard_3-2-1_53JRM_2020-08-12_final.stac-item
2020-08-13 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-08-13_final.stac-item
2020-09-25 10:06:26	ga_s2am_ard_3-2-1_54HYH_2020-09-25_final.stac-item
2020-10-25 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-10-25_final.stac-item
2020-11-21 11:32:57	ga_s2am_ard_3-2-1_51KXU_2020-11-21_final.stac-item
2020-12-21 11:33:44	ga_s2am_ard_3-2-1_51KVR_2020-12-21_final.stac-item
2020-12-30 10:24:19	ga_s2am_ard_3-2-1_53JRM_2020-12-30_final.stac-item
2021-01-13 11:42:05	ga_s2am_ard_3-2-1_51LVC_2021-01-13_final.stac-item
2021-03-18 11:21:23	ga_s2am_ard_3-2-1_52LBK_2021-03-18_final.stac-item
2021-04-04 11:13:51	ga_s2am_ard_3-2-1_52KBV_2021-04-04_final.stac-item
2021-05-02 10:33:47	ga_s2am_ard_3-2-1_53KQP_2021-05-02_final.stac-item
2021-06-11 10:34:00	ga_s2am_ard_3-2-1_53JRN_2021-06-11_final.stac-item
2021-06-26 11:23:22	ga_s2am_ard_3-2-1_52KBB_2021-06-26_final.stac-item
2021-08-12 11:13:57	ga_s2am_ard_3-2-1_52KBV_2021-08-12_final.stac-item
2021-08-23 10:43:54	ga_s2am_ard_3-2-1_53KNP_2021-08-23_final.stac-item
2022-01-08 10:07:28	ga_s2am_ard_3-2-1_54HWD_2022-01-08_final.stac-item
2022-02-01 11:26:36	ga_s2am_ard_3-2-1_51HXD_2022-02-01_final.stac-item
2022-03-25 12:05:07	ga_s2am_ard_3-2-1_50JKS_2022-03-25_final.stac-item
2022-03-31 10:43:50	ga_s2am_ard_3-2-1_53KPP_2022-03-31_final.stac-item
2022-04-27 12:15:25	ga_s2am_ard_3-2-1_49JGK_2022-04-27_final.stac-item
2022-05-03 10:54:28	ga_s2am_ard_3-2-1_53JLM_2022-05-03_final.stac-item
2022-05-05 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-05-05_final.stac-item
2022-05-17 10:33:58	ga_s2am_ard_3-2-1_53KPP_2022-05-17_final.stac-item
2022-05-18 11:44:46	ga_s2am_ard_3-2-1_51JUM_2022-05-18_final.stac-item
2022-05-22 11:23:02	ga_s2am_ard_3-2-1_51KYU_2022-05-22_final.stac-item
2022-07-07 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-07-07_final.stac-item
2022-07-14 09:57:29	ga_s2am_ard_3-2-1_54HXE_2022-07-14_final.stac-item
2022-07-29 10:46:15	ga_s2am_ard_3-2-1_53HME_2022-07-29_final.stac-item
2022-08-20 11:23:26	ga_s2am_ard_3-2-1_51KXT_2022-08-20_final.stac-item
2022-10-07 10:46:16	ga_s2am_ard_3-2-1_53HLE_2022-10-07_final.stac-item
2022-10-18 10:15:53	ga_s2am_ard_3-2-1_54HXK_2022-10-18_final.stac-item
2022-11-23 10:34:34	ga_s2am_ard_3-2-1_53JQL_2022-11-23_final.stac-item
2022-11-26 10:44:06	ga_s2am_ard_3-2-1_53JNN_2022-11-26_final.stac-item
2022-12-01 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-12-01_final.stac-item
2022-12-13 10:33:53	ga_s2am_ard_3-2-1_53KQP_2022-12-13_final.stac-item
2023-01-19 10:21:28	ga_s2am_ard_3-2-1_54LVH_2023-01-19_final.stac-item
2023-02-04 10:45:46	ga_s2am_ard_3-2-1_52JGM_2023-02-04_final.stac-item
2023-02-06 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-02-06_final
2023-05-05 10:40:48	ga_s2am_ard_3-2-1_53LPF_2023-05-05_final
2023-07-29 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-07-29_final
2023-08-01 11:42:51	ga_s2am_ard_3-2-1_51KUV_2023-08-01_final
2023-08-14 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-08-14_final
2023-08-20 10:34:10	ga_s2am_ard_3-2-1_53JQN_2023-08-20_final
2023-08-23 10:43:54	ga_s2am_ard_3-2-1_53KPP_2023-08-23_final
2023-08-25 11:23:34	ga_s2am_ard_3-2-1_51KXS_2023-08-25_final
2024-01-05 11:33:35	ga_s2am_ard_3-2-1_51KXR_2024-01-05_final
2024-01-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2024-01-15_final
2024-01-27 10:34:24	ga_s2am_ard_3-2-1_54JTR_2024-01-27_final
2024-02-06 10:33:41	ga_s2am_ard_3-2-1_54KTU_2024-02-06_final
2024-02-11 11:23:17	ga_s2am_ard_3-2-1_52KBB_2024-02-11_final
2024-02-19 10:41:27	ga_s2am_ard_3-2-1_54LTH_2024-02-19_final
2024-02-22 10:51:08	ga_s2am_ard_3-2-1_53LME_2024-02-22_final
2024-02-26 10:34:03	ga_s2am_ard_3-2-1_53JQN_2024-02-26_final
2024-03-06 11:04:22	ga_s2am_ard_3-2-1_52JDT_2024-03-06_final
2024-03-10 10:42:48	ga_s2am_ard_3-2-1_53KNT_2024-03-10_final
2024-04-24 11:33:30	ga_s2am_ard_3-2-1_51KWS_2024-04-24_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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