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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGJ_2016-01-16_final.stac-item
2016-01-29 12:13:40	ga_s2am_ard_3-2-1_49KGR_2016-01-29_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQH_2016-03-07_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51KVS_2016-04-06_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JBL_2016-06-06_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXH_2016-06-12_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JTN_2016-06-25_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53JNG_2016-11-07_final.stac-item
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52JEM_2017-02-01_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52LGJ_2017-02-04_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KGR_2017-03-14_final.stac-item
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HQA_2017-06-09_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52JBM_2017-06-14_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51HUC_2017-07-30_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNL_2017-08-12_final.stac-item
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KEB_2017-10-09_final.stac-item
2018-01-01 10:42:59	ga_s2am_ard_3-2-1_53JMN_2018-01-01_final.stac-item
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52JEM_2018-02-03_final.stac-item
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51LWC_2018-02-28_final.stac-item
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JXG_2018-03-01_final.stac-item
2018-03-04 11:16:56	ga_s2am_ard_3-2-1_52KCE_2018-03-04_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JWF_2018-03-04_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JLM_2018-03-23_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_53HQD_2018-05-15_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDQ_2018-06-09_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51JUN_2018-07-05_final.stac-item
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JDL_2018-07-26_final.stac-item
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JEL_2018-07-26_final.stac-item
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_52LBK_2018-08-01_final.stac-item
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51KXQ_2018-08-11_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51HUD_2018-10-03_final.stac-item
2018-11-01 12:05:28	ga_s2am_ard_3-2-1_50JKN_2018-11-01_final.stac-item
2018-11-23 11:05:41	ga_s2am_ard_3-2-1_52JDM_2018-11-23_final.stac-item
2018-11-24 12:15:12	ga_s2am_ard_3-2-1_49JGK_2018-11-24_final.stac-item
2018-12-27 10:46:17	ga_s2am_ard_3-2-1_53HLD_2018-12-27_final.stac-item
2019-01-15 11:10:21	ga_s2am_ard_3-2-1_52LHN_2019-01-15_final.stac-item
2019-03-15 11:44:45	ga_s2am_ard_3-2-1_50JQS_2019-03-15_final.stac-item
2019-05-27 11:54:54	ga_s2am_ard_3-2-1_50JNS_2019-05-27_final.stac-item
2019-07-10 11:36:51	ga_s2am_ard_3-2-1_51HTD_2019-07-10_final.stac-item
2019-07-14 11:16:28	ga_s2am_ard_3-2-1_51HYE_2019-07-14_final.stac-item
2019-12-17 11:32:45	ga_s2am_ard_3-2-1_51KYU_2019-12-17_final.stac-item
2020-01-06 11:32:16	ga_s2am_ard_3-2-1_51KYA_2020-01-06_final.stac-item
2020-01-13 11:24:27	ga_s2am_ard_3-2-1_52JBS_2020-01-13_final.stac-item
2020-01-22 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-01-22_final.stac-item
2020-03-29 11:46:22	ga_s2am_ard_3-2-1_50JML_2020-03-29_final.stac-item
2020-04-21 11:55:03	ga_s2am_ard_3-2-1_50JPR_2020-04-21_final.stac-item
2020-05-25 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-05-25_final.stac-item
2020-06-13 10:26:38	ga_s2am_ard_3-2-1_53HQC_2020-06-13_final.stac-item
2020-08-12 10:26:52	ga_s2am_ard_3-2-1_53HQB_2020-08-12_final.stac-item
2020-10-17 10:45:17	ga_s2am_ard_3-2-1_53JLJ_2020-10-17_final.stac-item
2020-11-18 11:21:54	ga_s2am_ard_3-2-1_52LDH_2020-11-18_final.stac-item
2020-11-28 11:24:44	ga_s2am_ard_3-2-1_52JBR_2020-11-28_final.stac-item
2020-12-02 11:03:12	ga_s2am_ard_3-2-1_52KGB_2020-12-02_final.stac-item
2020-12-22 11:01:01	ga_s2am_ard_3-2-1_52LGL_2020-12-22_final.stac-item
2021-01-07 11:22:01	ga_s2am_ard_3-2-1_52KDG_2021-01-07_final.stac-item
2021-01-27 11:23:50	ga_s2am_ard_3-2-1_52KBV_2021-01-27_final.stac-item
2021-01-29 10:24:52	ga_s2am_ard_3-2-1_53JQK_2021-01-29_final.stac-item
2021-02-08 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-02-08_final.stac-item
2021-02-12 11:44:08	ga_s2am_ard_3-2-1_50KPV_2021-02-12_final.stac-item
2021-03-11 11:32:46	ga_s2am_ard_3-2-1_51KVV_2021-03-11_final.stac-item
2021-03-25 11:15:35	ga_s2am_ard_3-2-1_52JBN_2021-03-25_final.stac-item
2021-05-12 10:36:50	ga_s2am_ard_3-2-1_53HNB_2021-05-12_final.stac-item
2021-06-06 11:22:23	ga_s2am_ard_3-2-1_52KBF_2021-06-06_final.stac-item
2021-08-09 11:06:09	ga_s2am_ard_3-2-1_52JCL_2021-08-09_final.stac-item
2021-08-18 11:36:40	ga_s2am_ard_3-2-1_50HPK_2021-08-18_final.stac-item
2021-11-02 11:56:04	ga_s2am_ard_3-2-1_50JKN_2021-11-02_final.stac-item
2022-01-05 11:37:02	ga_s2am_ard_3-2-1_51HTC_2022-01-05_final.stac-item
2022-01-16 11:02:48	ga_s2am_ard_3-2-1_52KFD_2022-01-16_final.stac-item
2022-01-29 11:12:53	ga_s2am_ard_3-2-1_52KCD_2022-01-29_final.stac-item
2022-02-07 11:43:43	ga_s2am_ard_3-2-1_51KUR_2022-02-07_final.stac-item
2022-02-13 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-02-13_final.stac-item
2022-03-23 11:25:41	ga_s2am_ard_3-2-1_51JXH_2022-03-23_final.stac-item
2022-04-30 10:44:47	ga_s2am_ard_3-2-1_53JLL_2022-04-30_final.stac-item
2022-05-08 11:43:29	ga_s2am_ard_3-2-1_51KVS_2022-05-08_final.stac-item
2022-05-12 11:26:15	ga_s2am_ard_3-2-1_51JWF_2022-05-12_final.stac-item
2022-06-03 10:25:57	ga_s2am_ard_3-2-1_53JQF_2022-06-03_final.stac-item
2022-06-06 12:15:08	ga_s2am_ard_3-2-1_49JFM_2022-06-06_final.stac-item
2022-07-01 11:23:26	ga_s2am_ard_3-2-1_51KXT_2022-07-01_final.stac-item
2022-07-08 11:16:54	ga_s2am_ard_3-2-1_51HXD_2022-07-08_final.stac-item
2022-08-12 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-08-12_final.stac-item
2022-09-13 11:03:30	ga_s2am_ard_3-2-1_52KEB_2022-09-13_final.stac-item
2022-09-25 11:47:21	ga_s2am_ard_3-2-1_50HLH_2022-09-25_final.stac-item
2022-10-02 11:33:31	ga_s2am_ard_3-2-1_51KXS_2022-10-02_final.stac-item
2022-10-04 10:35:16	ga_s2am_ard_3-2-1_53JNJ_2022-10-04_final.stac-item
2022-11-21 11:31:43	ga_s2am_ard_3-2-1_51LXD_2022-11-21_final.stac-item
2022-12-22 11:02:58	ga_s2am_ard_3-2-1_52KFC_2022-12-22_final.stac-item
2022-12-25 11:11:57	ga_s2am_ard_3-2-1_52KFG_2022-12-25_final.stac-item
2023-01-01 11:01:27	ga_s2am_ard_3-2-1_52LHJ_2023-01-01_final.stac-item
2023-01-18 10:55:37	ga_s2am_ard_3-2-1_52JGM_2023-01-18_final.stac-item
2023-01-24 11:11:55	ga_s2am_ard_3-2-1_52KFG_2023-01-24_final.stac-item
2023-04-03 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-04-03_final
2023-04-05 10:45:36	ga_s2am_ard_3-2-1_53JMG_2023-04-05_final
2023-06-03 11:15:46	ga_s2am_ard_3-2-1_51JXH_2023-06-03_final
2023-06-30 11:03:35	ga_s2am_ard_3-2-1_52KFA_2023-06-30_final
2023-07-26 11:21:15	ga_s2am_ard_3-2-1_52LBL_2023-07-26_nrt
2023-09-09 10:36:01	ga_s2am_ard_3-2-1_53JMF_2023-09-09_final
2023-09-19 12:15:13	ga_s2am_ard_3-2-1_49JGL_2023-09-19_final
2024-03-08 11:44:17	ga_s2am_ard_3-2-1_50KRU_2024-03-08_final
2024-03-15 11:36:14	ga_s2am_ard_3-2-1_51JUF_2024-03-15_final
2024-05-14 11:32:58	ga_s2am_ard_3-2-1_51KXU_2024-05-14_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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