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
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-10-01_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KXQ_2015-12-08_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_52LGH_2016-01-11_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUR_2016-01-20_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KUT_2016-02-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNC_2016-03-16_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_49KGR_2016-03-29_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-04-25_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KEC_2016-04-27_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HUC_2016-09-20_final.stac-item
2016-12-03 11:00:41	ga_s2am_ard_3-2-1_52KGG_2016-12-03_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50JNL_2016-12-05_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KZB_2016-12-29_final.stac-item
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KGF_2017-02-11_final.stac-item
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_52KFD_2017-03-16_final.stac-item
2017-04-25 11:12:56	ga_s2am_ard_3-2-1_52KDV_2017-04-25_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HMK_2017-07-23_final.stac-item
2017-08-03 11:10:38	ga_s2am_ard_3-2-1_52LFL_2017-08-03_final.stac-item
2017-08-23 11:12:16	ga_s2am_ard_3-2-1_52KEB_2017-08-23_final.stac-item
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52KEB_2018-03-08_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KXQ_2018-03-27_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LWC_2018-05-19_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JBT_2018-06-09_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVH_2018-08-04_final.stac-item
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HVC_2018-08-31_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HTC_2018-09-13_final.stac-item
2018-10-04 10:57:12	ga_s2am_ard_3-2-1_52KEC_2018-10-04_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KEB_2018-11-03_final.stac-item
2019-01-18 11:22:52	ga_s2am_ard_3-2-1_51KYU_2019-01-18_final.stac-item
2019-02-13 11:43:26	ga_s2am_ard_3-2-1_51KUS_2019-02-13_final.stac-item
2019-04-01 11:33:13	ga_s2am_ard_3-2-1_51KWT_2019-04-01_final.stac-item
2019-05-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-05-07_final.stac-item
2019-08-06 11:23:11	ga_s2am_ard_3-2-1_51KZT_2019-08-06_final.stac-item
2019-08-12 11:42:17	ga_s2am_ard_3-2-1_51KVB_2019-08-12_final.stac-item
2019-09-18 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2019-09-18_final.stac-item
2019-10-21 11:41:21	ga_s2am_ard_3-2-1_51LUF_2019-10-21_final.stac-item
2019-12-11 11:13:15	ga_s2am_ard_3-2-1_52KDB_2019-12-11_final.stac-item
2019-12-14 11:22:04	ga_s2am_ard_3-2-1_51KZB_2019-12-14_final.stac-item
2019-12-14 11:24:00	ga_s2am_ard_3-2-1_51KZP_2019-12-14_final.stac-item
2019-12-14 11:24:10	ga_s2am_ard_3-2-1_51KWP_2019-12-14_final.stac-item
2020-03-23 11:23:10	ga_s2am_ard_3-2-1_51KXT_2020-03-23_final.stac-item
2020-04-25 11:33:32	ga_s2am_ard_3-2-1_51KVS_2020-04-25_final.stac-item
2020-05-05 11:32:18	ga_s2am_ard_3-2-1_51KWB_2020-05-05_final.stac-item
2020-06-14 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-06-14_final.stac-item
2020-06-17 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-06-17_final.stac-item
2020-07-24 11:33:09	ga_s2am_ard_3-2-1_51KYT_2020-07-24_final.stac-item
2020-07-25 11:04:09	ga_s2am_ard_3-2-1_52KEU_2020-07-25_final.stac-item
2020-08-01 10:54:53	ga_s2am_ard_3-2-1_52JFR_2020-08-01_final.stac-item
2020-08-10 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-08-10_final.stac-item
2020-09-03 11:03:06	ga_s2am_ard_3-2-1_52KFC_2020-09-03_final.stac-item
2020-09-05 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-09-05_final.stac-item
2020-09-29 11:23:22	ga_s2am_ard_3-2-1_52KCB_2020-09-29_final.stac-item
2020-10-11 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-11_final.stac-item
2020-10-16 11:13:54	ga_s2am_ard_3-2-1_52KDV_2020-10-16_final.stac-item
2020-10-23 11:04:56	ga_s2am_ard_3-2-1_52JDR_2020-10-23_final.stac-item
2020-10-29 11:23:59	ga_s2am_ard_3-2-1_51KYQ_2020-10-29_final.stac-item
2021-01-10 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-01-10_final.stac-item
2021-01-27 11:23:28	ga_s2am_ard_3-2-1_51KXS_2021-01-27_final.stac-item
2021-02-16 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-02-16_final.stac-item
2021-03-04 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-03-04_final.stac-item
2021-04-23 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2021-04-23_final.stac-item
2021-04-30 11:33:50	ga_s2am_ard_3-2-1_51KXQ_2021-04-30_final.stac-item
2021-06-09 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-06-09_final.stac-item
2021-06-29 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2021-06-29_final.stac-item
2021-08-08 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-08-08_final.stac-item
2021-09-30 11:43:29	ga_s2am_ard_3-2-1_51KVS_2021-09-30_final.stac-item
2021-11-06 11:34:58	ga_s2am_ard_3-2-1_51JWL_2021-11-06_final.stac-item
2022-01-22 11:22:08	ga_s2am_ard_3-2-1_52KBG_2022-01-22_final.stac-item
2022-02-07 11:43:32	ga_s2am_ard_3-2-1_51KTS_2022-02-07_final.stac-item
2022-03-09 11:43:08	ga_s2am_ard_3-2-1_50KRD_2022-03-09_final.stac-item
2022-03-29 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2022-03-29_final.stac-item
2022-04-05 11:33:24	ga_s2am_ard_3-2-1_51KUT_2022-04-05_final.stac-item
2022-05-06 11:03:06	ga_s2am_ard_3-2-1_52KFC_2022-05-06_final.stac-item
2022-05-26 11:05:59	ga_s2am_ard_3-2-1_52JCM_2022-05-26_final.stac-item
2022-07-20 11:55:18	ga_s2am_ard_3-2-1_50JNR_2022-07-20_final.stac-item
2022-08-20 11:23:29	ga_s2am_ard_3-2-1_52KCB_2022-08-20_final.stac-item
2022-09-16 11:13:17	ga_s2am_ard_3-2-1_52KCC_2022-09-16_final.stac-item
2022-10-15 11:43:48	ga_s2am_ard_3-2-1_51KUR_2022-10-15_final.stac-item
2022-12-02 11:03:35	ga_s2am_ard_3-2-1_52KEA_2022-12-02_final.stac-item
2022-12-08 11:23:43	ga_s2am_ard_3-2-1_51KXR_2022-12-08_final.stac-item
2023-01-19 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-01-19_final.stac-item
2023-01-20 11:33:18	ga_s2am_ard_3-2-1_51KXS_2023-01-20_final.stac-item
2023-03-01 11:32:59	ga_s2am_ard_3-2-1_51KVU_2023-03-01_final
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final
2023-03-11 11:32:17	ga_s2am_ard_3-2-1_51KYA_2023-03-11_final
2023-05-07 11:23:06	ga_s2am_ard_3-2-1_52KBC_2023-05-07_final
2023-06-23 11:13:33	ga_s2am_ard_3-2-1_52KEA_2023-06-23_final
2023-10-27 11:33:34	ga_s2am_ard_3-2-1_51KUS_2023-10-27_final
2023-11-04 10:56:16	ga_s2am_ard_3-2-1_52HEK_2023-11-04_final
2023-11-16 11:32:53	ga_s2am_ard_3-2-1_51KXU_2023-11-16_final
2023-11-26 11:32:14	ga_s2am_ard_3-2-1_51KVB_2023-11-26_final
2023-12-06 11:32:56	ga_s2am_ard_3-2-1_51KYT_2023-12-06_final
2023-12-07 11:01:33	ga_s2am_ard_3-2-1_52LFJ_2023-12-07_final
2023-12-29 11:43:41	ga_s2am_ard_3-2-1_51KUR_2023-12-29_final
2024-01-12 11:24:04	ga_s2am_ard_3-2-1_52KBU_2024-01-12_final
2024-01-26 11:02:01	ga_s2am_ard_3-2-1_52KFG_2024-01-26_final
2024-02-18 11:11:17	ga_s2am_ard_3-2-1_52LEK_2024-02-18_final
2024-03-12 11:23:35	ga_s2am_ard_3-2-1_51KZR_2024-03-12_final
2024-04-01 11:23:27	ga_s2am_ard_3-2-1_51KXS_2024-04-01_final
2024-04-03 12:03:48	ga_s2am_ard_3-2-1_50KKB_2024-04-03_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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