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
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53HPC_2015-12-07_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_52JGM_2016-05-11_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPV_2016-07-01_final.stac-item
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_52KCC_2016-08-28_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KXU_2016-11-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVU_2016-12-22_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUC_2017-10-05_final.stac-item
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_51KWR_2017-10-18_final.stac-item
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52LGK_2018-01-07_final.stac-item
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51KWQ_2018-02-12_final.stac-item
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52KBV_2018-03-31_final.stac-item
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52KBC_2018-05-10_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKM_2018-06-21_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_51KXT_2018-06-25_final.stac-item
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KXQ_2018-07-12_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-07-25_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-10-25_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JEN_2018-11-03_final.stac-item
2018-11-09 11:25:01	ga_s2am_ard_3-2-1_51JYK_2018-11-09_final.stac-item
2018-11-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2018-11-11_final.stac-item
2019-02-20 11:33:30	ga_s2am_ard_3-2-1_51KUS_2019-02-20_final.stac-item
2019-04-01 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-04-01_final.stac-item
2019-04-04 11:43:04	ga_s2am_ard_3-2-1_51KTU_2019-04-04_final.stac-item
2019-04-10 12:04:06	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-05-08 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2019-05-08_final.stac-item
2019-05-15 11:13:17	ga_s2am_ard_3-2-1_52KBC_2019-05-15_final.stac-item
2019-06-14 11:13:27	ga_s2am_ard_3-2-1_52KCB_2019-06-14_final.stac-item
2019-06-27 11:23:05	ga_s2am_ard_3-2-1_51KXU_2019-06-27_final.stac-item
2019-08-06 11:23:39	ga_s2am_ard_3-2-1_52KBA_2019-08-06_final.stac-item
2019-08-19 11:32:57	ga_s2am_ard_3-2-1_51KXU_2019-08-19_final.stac-item
2019-09-18 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2019-09-18_final.stac-item
2019-09-21 11:41:32	ga_s2am_ard_3-2-1_51LUE_2019-09-21_final.stac-item
2019-09-25 11:23:07	ga_s2am_ard_3-2-1_51KZT_2019-09-25_final.stac-item
2019-10-22 11:13:07	ga_s2am_ard_3-2-1_52KDC_2019-10-22_final.stac-item
2019-12-27 11:32:53	ga_s2am_ard_3-2-1_51KWU_2019-12-27_final.stac-item
2020-01-20 11:13:27	ga_s2am_ard_3-2-1_52KDA_2020-01-20_final.stac-item
2020-01-25 12:06:03	ga_s2am_ard_3-2-1_50JKM_2020-01-25_final.stac-item
2020-01-26 11:32:44	ga_s2am_ard_3-2-1_51KYU_2020-01-26_final.stac-item
2020-01-26 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2020-01-26_final.stac-item
2020-02-05 11:33:14	ga_s2am_ard_3-2-1_51KUT_2020-02-05_final.stac-item
2020-02-29 11:12:16	ga_s2am_ard_3-2-1_52KDF_2020-02-29_final.stac-item
2020-02-29 11:16:21	ga_s2am_ard_3-2-1_51HXE_2020-02-29_final.stac-item
2020-03-03 11:24:01	ga_s2am_ard_3-2-1_51KZP_2020-03-03_final.stac-item
2020-05-25 11:32:46	ga_s2am_ard_3-2-1_51KXV_2020-05-25_final.stac-item
2020-06-17 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-06-17_final.stac-item
2020-08-04 11:03:22	ga_s2am_ard_3-2-1_52KFB_2020-08-04_final.stac-item
2020-08-07 11:13:42	ga_s2am_ard_3-2-1_52KCA_2020-08-07_final.stac-item
2020-08-07 11:14:00	ga_s2am_ard_3-2-1_51KZQ_2020-08-07_final.stac-item
2020-09-16 11:13:59	ga_s2am_ard_3-2-1_52KBV_2020-09-16_final.stac-item
2020-10-02 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-10-02_final.stac-item
2020-12-21 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2020-12-21_final.stac-item
2020-12-22 11:02:14	ga_s2am_ard_3-2-1_52KGF_2020-12-22_final.stac-item
2020-12-22 11:04:10	ga_s2am_ard_3-2-1_52JGT_2020-12-22_final.stac-item
2021-01-10 11:32:51	ga_s2am_ard_3-2-1_51KYU_2021-01-10_final.stac-item
2021-02-02 11:44:10	ga_s2am_ard_3-2-1_50KPV_2021-02-02_final.stac-item
2021-02-03 11:15:47	ga_s2am_ard_3-2-1_52JCM_2021-02-03_final.stac-item
2021-03-15 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-03-15_final.stac-item
2021-03-24 11:43:28	ga_s2am_ard_3-2-1_51KUS_2021-03-24_final.stac-item
2021-04-07 11:23:03	ga_s2am_ard_3-2-1_51KZT_2021-04-07_final.stac-item
2021-04-13 11:44:17	ga_s2am_ard_3-2-1_50KPU_2021-04-13_final.stac-item
2021-04-23 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2021-04-23_final.stac-item
2021-05-02 12:13:52	ga_s2am_ard_3-2-1_50KKA_2021-05-02_final.stac-item
2021-06-05 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-06-05_final.stac-item
2021-06-08 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-06-08_final.stac-item
2021-06-23 11:13:15	ga_s2am_ard_3-2-1_52KBC_2021-06-23_final.stac-item
2021-07-06 11:23:45	ga_s2am_ard_3-2-1_51KXR_2021-07-06_final.stac-item
2021-08-02 11:13:51	ga_s2am_ard_3-2-1_52KDV_2021-08-02_final.stac-item
2021-08-12 11:13:47	ga_s2am_ard_3-2-1_52KEV_2021-08-12_final.stac-item
2021-09-11 11:13:37	ga_s2am_ard_3-2-1_52KCA_2021-09-11_final.stac-item
2021-10-20 11:46:18	ga_s2am_ard_3-2-1_50JMM_2021-10-20_final.stac-item
2021-11-10 11:13:50	ga_s2am_ard_3-2-1_52KDV_2021-11-10_final.stac-item
2021-11-13 11:21:26	ga_s2am_ard_3-2-1_52LDJ_2021-11-13_final.stac-item
2021-11-19 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-11-19_final.stac-item
2021-12-03 11:25:16	ga_s2am_ard_3-2-1_51JVK_2021-12-03_final.stac-item
2022-01-05 11:33:14	ga_s2am_ard_3-2-1_51KWT_2022-01-05_final.stac-item
2022-02-11 11:26:04	ga_s2am_ard_3-2-1_51JUG_2022-02-11_final.stac-item
2022-02-26 10:36:53	ga_s2am_ard_3-2-1_53HNB_2022-02-26_final.stac-item
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final.stac-item
2022-06-17 11:43:11	ga_s2am_ard_3-2-1_51KUU_2022-06-17_final.stac-item
2022-08-12 12:06:22	ga_s2am_ard_3-2-1_50JKM_2022-08-12_final.stac-item
2022-09-23 11:03:27	ga_s2am_ard_3-2-1_52KEB_2022-09-23_final.stac-item
2022-10-26 11:16:33	ga_s2am_ard_3-2-1_51HWE_2022-10-26_final.stac-item
2022-10-29 11:23:39	ga_s2am_ard_3-2-1_51KZR_2022-10-29_final.stac-item
2022-11-25 11:13:50	ga_s2am_ard_3-2-1_52KBV_2022-11-25_final
2022-12-11 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-12-11_final.stac-item
2023-01-07 11:21:34	ga_s2am_ard_3-2-1_52LBJ_2023-01-07_final.stac-item
2023-02-09 11:33:22	ga_s2am_ard_3-2-1_51KXS_2023-02-09_final.stac-item
2023-04-19 10:26:20	ga_s2am_ard_3-2-1_53HPD_2023-04-19_final
2023-05-14 11:13:15	ga_s2am_ard_3-2-1_52KEB_2023-05-14_final
2023-09-03 11:55:08	ga_s2am_ard_3-2-1_50JPR_2023-09-03_final
2023-11-17 11:04:41	ga_s2am_ard_3-2-1_52JFR_2023-11-17_final
2023-12-03 11:22:59	ga_s2am_ard_3-2-1_51KZT_2023-12-03_final
2023-12-20 11:14:05	ga_s2am_ard_3-2-1_52KBU_2023-12-20_final
2024-02-24 11:33:11	ga_s2am_ard_3-2-1_51KWT_2024-02-24_final
2024-03-05 11:33:02	ga_s2am_ard_3-2-1_51KVU_2024-03-05_final
2024-04-01 11:23:15	ga_s2am_ard_3-2-1_52KCB_2024-04-01_final
2024-04-26 10:36:23	ga_s2am_ard_3-2-1_53HND_2024-04-26_final
2024-05-01 11:22:59	ga_s2am_ard_3-2-1_51KYU_2024-05-01_final
2024-05-02 10:55:45	ga_s2am_ard_3-2-1_52JGM_2024-05-02_final
2024-05-11 11:27:01	ga_s2am_ard_3-2-1_51HVC_2024-05-11_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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