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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HUD_2015-11-25_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53HQA_2015-12-07_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53JPF_2015-12-07_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KGD_2016-05-07_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52KGU_2016-06-26_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JCQ_2016-07-09_final.stac-item
2016-09-08 10:45:18	ga_s2am_ard_3-2-1_53HME_2016-09-08_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KTT_2016-09-26_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_52KBU_2016-12-06_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52LFH_2016-12-26_final.stac-item
2016-12-30 10:53:16	ga_s2am_ard_3-2-1_52KHV_2016-12-30_final.stac-item
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_53KLB_2017-01-02_final.stac-item
2017-01-06 10:42:58	ga_s2am_ard_3-2-1_53JPN_2017-01-06_final.stac-item
2017-02-25 10:43:01	ga_s2am_ard_3-2-1_53KPP_2017-02-25_final.stac-item
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53KPS_2017-05-06_final.stac-item
2017-08-31 10:32:11	ga_s2am_ard_3-2-1_53JQM_2017-08-31_final.stac-item
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JGR_2017-09-29_final.stac-item
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KGF_2017-11-08_final.stac-item
2017-11-28 10:57:11	ga_s2am_ard_3-2-1_52KFE_2017-11-28_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JRT_2017-12-17_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KVT_2018-02-18_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYL_2018-02-19_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50HPJ_2018-02-25_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51HXD_2018-03-11_final.stac-item
2018-04-11 10:37:28	ga_s2am_ard_3-2-1_53JNM_2018-04-11_final.stac-item
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JEM_2018-04-17_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KLA_2018-04-25_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPN_2018-06-18_final.stac-item
2018-09-28 10:37:23	ga_s2am_ard_3-2-1_53JNG_2018-09-28_final.stac-item
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53JKF_2018-10-28_final.stac-item
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53JNM_2018-11-04_final.stac-item
2019-01-05 11:13:35	ga_s2am_ard_3-2-1_51KZR_2019-01-05_final.stac-item
2019-01-14 11:42:38	ga_s2am_ard_3-2-1_51KVV_2019-01-14_final.stac-item
2019-01-18 11:24:08	ga_s2am_ard_3-2-1_51KXP_2019-01-18_final.stac-item
2019-01-22 11:00:45	ga_s2am_ard_3-2-1_52LGM_2019-01-22_final.stac-item
2019-02-15 10:44:13	ga_s2am_ard_3-2-1_53JPM_2019-02-15_final.stac-item
2019-02-22 10:33:56	ga_s2am_ard_3-2-1_53JRN_2019-02-22_final.stac-item
2019-04-29 10:52:09	ga_s2am_ard_3-2-1_53KNA_2019-04-29_final.stac-item
2019-05-06 10:44:10	ga_s2am_ard_3-2-1_53JNN_2019-05-06_final.stac-item
2019-06-02 10:34:06	ga_s2am_ard_3-2-1_53JQN_2019-06-02_final.stac-item
2019-07-02 10:34:23	ga_s2am_ard_3-2-1_53JQM_2019-07-02_final.stac-item
2019-07-30 11:32:24	ga_s2am_ard_3-2-1_51KVB_2019-07-30_final.stac-item
2019-08-11 10:37:02	ga_s2am_ard_3-2-1_53HPA_2019-08-11_final.stac-item
2019-09-29 11:05:46	ga_s2am_ard_3-2-1_52JEM_2019-09-29_final.stac-item
2020-01-06 11:33:03	ga_s2am_ard_3-2-1_51KXT_2020-01-06_final.stac-item
2020-01-16 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-01-16_final.stac-item
2020-02-02 11:21:28	ga_s2am_ard_3-2-1_52LCJ_2020-02-02_final.stac-item
2020-02-06 11:02:59	ga_s2am_ard_3-2-1_53KKS_2020-02-06_final.stac-item
2020-04-18 11:45:54	ga_s2am_ard_3-2-1_50JNN_2020-04-18_final.stac-item
2020-05-05 11:33:04	ga_s2am_ard_3-2-1_51KYT_2020-05-05_final.stac-item
2020-12-08 11:22:34	ga_s2am_ard_3-2-1_52KBE_2020-12-08_final.stac-item
2020-12-11 11:35:30	ga_s2am_ard_3-2-1_51JTJ_2020-12-11_final.stac-item
2020-12-30 10:24:19	ga_s2am_ard_3-2-1_53JRM_2020-12-30_final.stac-item
2021-01-14 11:11:38	ga_s2am_ard_3-2-1_52LDJ_2021-01-14_final.stac-item
2021-02-11 10:36:20	ga_s2am_ard_3-2-1_53HND_2021-02-11_final.stac-item
2021-02-23 11:10:36	ga_s2am_ard_3-2-1_52LHM_2021-02-23_final.stac-item
2021-03-13 10:34:36	ga_s2am_ard_3-2-1_53JPL_2021-03-13_final.stac-item
2021-03-15 11:12:52	ga_s2am_ard_3-2-1_52KCD_2021-03-15_final.stac-item
2021-03-31 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2021-03-31_final.stac-item
2021-04-10 11:36:53	ga_s2am_ard_3-2-1_51HUC_2021-04-10_final.stac-item
2021-04-15 10:45:13	ga_s2am_ard_3-2-1_53JNH_2021-04-15_final.stac-item
2021-04-22 10:33:45	ga_s2am_ard_3-2-1_53KQP_2021-04-22_final.stac-item
2021-05-02 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-05-02_final.stac-item
2021-05-31 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-05-31_final.stac-item
2021-06-16 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2021-06-16_final.stac-item
2021-06-19 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-06-19_final.stac-item
2021-07-13 11:14:52	ga_s2am_ard_3-2-1_52JCR_2021-07-13_final.stac-item
2021-10-02 10:46:25	ga_s2am_ard_3-2-1_53HMD_2021-10-02_final.stac-item
2021-11-06 11:36:21	ga_s2am_ard_3-2-1_51JTF_2021-11-06_final.stac-item
2022-01-20 10:43:37	ga_s2am_ard_3-2-1_53KNQ_2022-01-20_final.stac-item
2022-07-07 11:42:12	ga_s2am_ard_3-2-1_51LVC_2022-07-07_final.stac-item
2022-07-16 10:33:58	ga_s2am_ard_3-2-1_53KRP_2022-07-16_final.stac-item
2022-07-19 10:44:33	ga_s2am_ard_3-2-1_53JNM_2022-07-19_final.stac-item
2022-08-09 11:53:59	ga_s2am_ard_3-2-1_50KPA_2022-08-09_final.stac-item
2022-09-07 10:45:37	ga_s2am_ard_3-2-1_53JLH_2022-09-07_final.stac-item
2022-09-11 12:03:55	ga_s2am_ard_3-2-1_50KKB_2022-09-11_final.stac-item
2022-10-24 10:34:24	ga_s2am_ard_3-2-1_53JPM_2022-10-24_final.stac-item
2022-10-25 11:47:05	ga_s2am_ard_3-2-1_50HPH_2022-10-25_final.stac-item
2022-10-29 11:26:36	ga_s2am_ard_3-2-1_51HUE_2022-10-29_final.stac-item
2022-11-10 10:27:09	ga_s2am_ard_3-2-1_53HPA_2022-11-10_final.stac-item
2022-11-13 10:35:33	ga_s2am_ard_3-2-1_53JQG_2022-11-13_final.stac-item
2022-11-27 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-11-27_final.stac-item
2023-01-04 11:14:22	ga_s2am_ard_3-2-1_52JBT_2023-01-04_final.stac-item
2023-01-24 11:13:59	ga_s2am_ard_3-2-1_52KDU_2023-01-24_final.stac-item
2023-03-30 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-03-30_final
2023-04-04 11:14:05	ga_s2am_ard_3-2-1_52KCU_2023-04-04_final
2023-04-15 10:44:06	ga_s2am_ard_3-2-1_53JNN_2023-04-15_final
2023-05-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-14_final
2023-05-23 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2023-05-23_final
2023-06-09 11:36:37	ga_s2am_ard_3-2-1_50HQK_2023-06-09_final
2023-10-02 10:44:08	ga_s2am_ard_3-2-1_53JNN_2023-10-02_final
2023-11-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2023-11-29_final
2024-01-16 11:02:40	ga_s2am_ard_3-2-1_52KFD_2024-01-16_final
2024-02-12 10:53:58	ga_s2am_ard_3-2-1_52KGU_2024-02-12_final
2024-03-02 11:24:19	ga_s2am_ard_3-2-1_52JBT_2024-03-02_final
2024-03-12 11:24:55	ga_s2am_ard_3-2-1_51JXL_2024-03-12_final
2024-03-24 10:24:52	ga_s2am_ard_3-2-1_53JQK_2024-03-24_final
2024-03-26 11:06:36	ga_s2am_ard_3-2-1_51HYD_2024-03-26_final
2024-04-02 10:51:49	ga_s2am_ard_3-2-1_53KNB_2024-04-02_final
2024-05-19 10:43:50	ga_s2am_ard_3-2-1_53KPP_2024-05-19_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

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