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
2015-08-21 11:02:43	ga_s2am_ard_3-2-1_52KGC_2015-08-21_final
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JFM_2016-09-05_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KVR_2016-11-02_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUP_2016-12-05_final.stac-item
2016-12-10 10:55:17	ga_s2am_ard_3-2-1_52JFM_2016-12-10_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50HNK_2017-04-07_final.stac-item
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JLM_2017-04-17_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51KVS_2017-04-21_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51KXS_2017-04-28_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KUT_2017-05-31_final.stac-item
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_52KBU_2017-08-26_final.stac-item
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50JPL_2017-09-08_final.stac-item
2017-10-31 11:37:51	ga_s2am_ard_3-2-1_51LUF_2017-10-31_final.stac-item
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52KDV_2017-12-18_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HUC_2018-02-02_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51JTK_2018-02-08_final.stac-item
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51KZR_2018-04-13_final.stac-item
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52KBV_2018-08-08_final.stac-item
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51KZT_2018-09-10_final.stac-item
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KEB_2018-10-24_final.stac-item
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGK_2018-11-04_final.stac-item
2018-11-29 11:23:01	ga_s2am_ard_3-2-1_51KYT_2018-11-29_final.stac-item
2019-01-01 11:32:44	ga_s2am_ard_3-2-1_51KYU_2019-01-01_final.stac-item
2019-01-19 10:56:00	ga_s2am_ard_3-2-1_52JEL_2019-01-19_final.stac-item
2019-02-17 11:23:24	ga_s2am_ard_3-2-1_51KXS_2019-02-17_final.stac-item
2019-02-27 11:23:34	ga_s2am_ard_3-2-1_51KYR_2019-02-27_final.stac-item
2019-03-05 11:43:19	ga_s2am_ard_3-2-1_51KVS_2019-03-05_final.stac-item
2019-03-12 11:32:21	ga_s2am_ard_3-2-1_51KXA_2019-03-12_final.stac-item
2019-03-29 11:23:33	ga_s2am_ard_3-2-1_51KYR_2019-03-29_final.stac-item
2019-03-29 11:23:40	ga_s2am_ard_3-2-1_51KYR_2019-03-29_final.stac-item
2019-04-21 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2019-04-21_final.stac-item
2019-05-04 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-05-04_final.stac-item
2019-05-08 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final.stac-item
2019-06-24 11:13:20	ga_s2am_ard_3-2-1_52KDB_2019-06-24_final.stac-item
2019-07-07 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2019-07-07_final.stac-item
2019-07-14 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2019-07-14_final.stac-item
2019-07-24 11:11:39	ga_s2am_ard_3-2-1_52LEJ_2019-07-24_final.stac-item
2019-07-24 11:13:29	ga_s2am_ard_3-2-1_52KCB_2019-07-24_final.stac-item
2019-09-02 11:14:29	ga_s2am_ard_3-2-1_51JYN_2019-09-02_final.stac-item
2019-09-05 11:23:20	ga_s2am_ard_3-2-1_52KBB_2019-09-05_final.stac-item
2019-09-21 11:43:11	ga_s2am_ard_3-2-1_51KVT_2019-09-21_final.stac-item
2019-09-28 11:33:25	ga_s2am_ard_3-2-1_51KXS_2019-09-28_final.stac-item
2019-10-31 11:43:28	ga_s2am_ard_3-2-1_51KVS_2019-10-31_final.stac-item
2019-12-21 11:12:00	ga_s2am_ard_3-2-1_52KDG_2019-12-21_final.stac-item
2019-12-27 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2019-12-27_final.stac-item
2019-12-31 11:13:17	ga_s2am_ard_3-2-1_52KCB_2019-12-31_final.stac-item
2020-01-19 11:43:19	ga_s2am_ard_3-2-1_51KVS_2020-01-19_final.stac-item
2020-03-03 11:24:01	ga_s2am_ard_3-2-1_51KZP_2020-03-03_final.stac-item
2020-04-18 11:41:33	ga_s2am_ard_3-2-1_51LUE_2020-04-18_final.stac-item
2020-06-01 11:23:49	ga_s2am_ard_3-2-1_51KXR_2020-06-01_final.stac-item
2020-06-08 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-06-08_final.stac-item
2020-06-21 11:23:07	ga_s2am_ard_3-2-1_51KZT_2020-06-21_final.stac-item
2020-07-31 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-07-31_final.stac-item
2020-07-31 11:23:41	ga_s2am_ard_3-2-1_51KZR_2020-07-31_final.stac-item
2020-09-09 11:23:43	ga_s2am_ard_3-2-1_51KYR_2020-09-09_final.stac-item
2020-10-12 11:33:58	ga_s2am_ard_3-2-1_51KXQ_2020-10-12_final.stac-item
2020-10-12 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-10-12_final.stac-item
2020-11-25 11:11:35	ga_s2am_ard_3-2-1_52LEJ_2020-11-25_final.stac-item
2020-11-26 10:45:48	ga_s2am_ard_3-2-1_52JGM_2020-11-26_final.stac-item
2021-03-03 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-03-03_final.stac-item
2021-03-31 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2021-03-31_final.stac-item
2021-04-13 11:42:04	ga_s2am_ard_3-2-1_51KWB_2021-04-13_final.stac-item
2021-04-27 11:24:12	ga_s2am_ard_3-2-1_51KWP_2021-04-27_final.stac-item
2021-05-03 11:45:41	ga_s2am_ard_3-2-1_51JTH_2021-05-03_final.stac-item
2021-05-17 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-05-17_final.stac-item
2021-06-19 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-06-19_final.stac-item
2021-06-26 11:24:06	ga_s2am_ard_3-2-1_52KBU_2021-06-26_final.stac-item
2021-08-02 11:13:54	ga_s2am_ard_3-2-1_52KCV_2021-08-02_final.stac-item
2021-10-24 11:23:40	ga_s2am_ard_3-2-1_52KBA_2021-10-24_final.stac-item
2021-10-27 11:33:43	ga_s2am_ard_3-2-1_51KXR_2021-10-27_final.stac-item
2021-11-16 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-11-16_final.stac-item
2022-01-13 10:53:00	ga_s2am_ard_3-2-1_52KHC_2022-01-13_final.stac-item
2022-01-22 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2022-01-22_final.stac-item
2022-02-19 10:45:48	ga_s2am_ard_3-2-1_52JGM_2022-02-19_final.stac-item
2022-03-23 11:23:09	ga_s2am_ard_3-2-1_52KBC_2022-03-23_final.stac-item
2022-03-29 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2022-03-29_final.stac-item
2022-05-25 11:32:54	ga_s2am_ard_3-2-1_51KVV_2022-05-25_final.stac-item
2022-05-29 11:13:30	ga_s2am_ard_3-2-1_52KCB_2022-05-29_final.stac-item
2022-10-25 11:43:32	ga_s2am_ard_3-2-1_51KUS_2022-10-25_final.stac-item
2022-11-14 11:42:30	ga_s2am_ard_3-2-1_51KVA_2022-11-14_final.stac-item
2022-12-11 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-12-11_final.stac-item
2022-12-25 11:12:18	ga_s2am_ard_3-2-1_52KDF_2022-12-25_final.stac-item
2023-01-03 11:43:02	ga_s2am_ard_3-2-1_51KTU_2023-01-03_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-02-10 11:01:59	ga_s2am_ard_3-2-1_52KGG_2023-02-10_final.stac-item
2023-02-10 11:02:57	ga_s2am_ard_3-2-1_52KGC_2023-02-10_final.stac-item
2023-02-15 11:53:08	ga_s2am_ard_3-2-1_50KRC_2023-02-15_final
2023-02-18 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-02-18_final
2023-05-03 11:41:33	ga_s2am_ard_3-2-1_51LUE_2023-05-03_final
2023-05-13 11:40:57	ga_s2am_ard_3-2-1_51LWG_2023-05-13_final
2023-06-10 11:03:20	ga_s2am_ard_3-2-1_52KFB_2023-06-10_final
2023-08-28 11:34:11	ga_s2am_ard_3-2-1_51KXP_2023-08-28_final
2023-10-04 11:23:22	ga_s2am_ard_3-2-1_52KBB_2023-10-04_final
2023-10-14 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-10-14_final
2023-11-15 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-11-15_final
2023-11-17 11:05:06	ga_s2am_ard_3-2-1_52JEP_2023-11-17_final
2024-03-23 10:55:47	ga_s2am_ard_3-2-1_52JFM_2024-03-23_final
2024-03-25 11:32:27	ga_s2am_ard_3-2-1_51KXA_2024-03-25_final
2024-03-28 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-28_final
2024-04-18 11:10:43	ga_s2am_ard_3-2-1_52LGM_2024-04-18_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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