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
2015-07-25 11:12:44	ga_s2am_ard_3-2-1_52KCC_2015-07-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51KUU_2016-01-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKU_2016-04-15_final.stac-item
2016-06-25 11:26:21	ga_s2am_ard_3-2-1_51LZD_2016-06-25_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKU_2016-09-12_final.stac-item
2016-09-24 11:02:06	ga_s2am_ard_3-2-1_52KEV_2016-09-24_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_52JGM_2016-11-17_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUT_2017-02-03_final.stac-item
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_50KKA_2017-03-24_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-06-19_final.stac-item
2017-07-01 11:02:10	ga_s2am_ard_3-2-1_52KGC_2017-07-01_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KYT_2017-08-19_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KWR_2017-09-08_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51HVE_2017-09-28_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KUV_2017-12-10_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXJ_2017-12-24_final.stac-item
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_49KGR_2018-01-18_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVP_2018-01-26_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXA_2018-01-26_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-02-24_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_52LBJ_2018-02-25_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_50JQL_2018-03-07_final.stac-item
2018-03-17 11:26:39	ga_s2am_ard_3-2-1_51KVT_2018-03-17_final.stac-item
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KXU_2018-04-16_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HLH_2018-04-19_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52KBA_2018-05-03_final.stac-item
2018-05-06 11:26:23	ga_s2am_ard_3-2-1_51LZE_2018-05-06_final.stac-item
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52KEV_2018-05-07_final.stac-item
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_53HLE_2018-05-11_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KCV_2018-06-09_final.stac-item
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52KHA_2018-06-16_final.stac-item
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KCC_2018-07-19_final.stac-item
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_52KEV_2018-07-29_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JQL_2018-10-06_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JPL_2018-10-13_final.stac-item
2018-11-09 11:23:31	ga_s2am_ard_3-2-1_51KZR_2018-11-09_final.stac-item
2018-12-16 11:11:50	ga_s2am_ard_3-2-1_52KFG_2018-12-16_final.stac-item
2019-01-12 11:01:27	ga_s2am_ard_3-2-1_52LGJ_2019-01-12_final.stac-item
2019-01-18 11:22:52	ga_s2am_ard_3-2-1_51KYU_2019-01-18_final.stac-item
2019-02-07 11:23:18	ga_s2am_ard_3-2-1_51KZS_2019-02-07_final.stac-item
2019-02-17 11:23:02	ga_s2am_ard_3-2-1_52KBC_2019-02-17_final.stac-item
2019-02-18 10:55:53	ga_s2am_ard_3-2-1_52JGL_2019-02-18_final.stac-item
2019-05-01 11:36:50	ga_s2am_ard_3-2-1_51HTD_2019-05-01_final.stac-item
2019-06-11 11:03:37	ga_s2am_ard_3-2-1_52KEA_2019-06-11_final.stac-item
2019-09-28 11:36:59	ga_s2am_ard_3-2-1_51HUC_2019-09-28_final.stac-item
2019-10-04 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-10-04_final.stac-item
2019-11-07 11:34:05	ga_s2am_ard_3-2-1_51KUQ_2019-11-07_final.stac-item
2020-01-03 11:24:39	ga_s2am_ard_3-2-1_51JWM_2020-01-03_final.stac-item
2020-01-19 11:43:37	ga_s2am_ard_3-2-1_51KUR_2020-01-19_final.stac-item
2020-02-03 10:54:04	ga_s2am_ard_3-2-1_52JHT_2020-02-03_final.stac-item
2020-02-09 11:10:54	ga_s2am_ard_3-2-1_52LFL_2020-02-09_final.stac-item
2020-03-29 11:45:51	ga_s2am_ard_3-2-1_51JTG_2020-03-29_final.stac-item
2020-05-31 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-05-31_final.stac-item
2020-06-06 10:36:23	ga_s2am_ard_3-2-1_53HLE_2020-06-06_final.stac-item
2020-06-25 11:00:36	ga_s2am_ard_3-2-1_52LHN_2020-06-25_final.stac-item
2020-07-31 11:26:53	ga_s2am_ard_3-2-1_51HUD_2020-07-31_final.stac-item
2020-09-12 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-09-12_final.stac-item
2020-10-19 11:25:39	ga_s2am_ard_3-2-1_51JYH_2020-10-19_final.stac-item
2021-01-08 10:54:22	ga_s2am_ard_3-2-1_52JFT_2021-01-08_final.stac-item
2021-02-26 11:23:06	ga_s2am_ard_3-2-1_52KBC_2021-02-26_final.stac-item
2021-03-30 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-03-30_final.stac-item
2021-03-31 11:33:45	ga_s2am_ard_3-2-1_51KUR_2021-03-31_final.stac-item
2021-04-07 11:26:18	ga_s2am_ard_3-2-1_51HXE_2021-04-07_final.stac-item
2021-04-14 11:16:14	ga_s2am_ard_3-2-1_52HBK_2021-04-14_final.stac-item
2021-07-02 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-07-02_final.stac-item
2021-08-15 11:25:06	ga_s2am_ard_3-2-1_51JVL_2021-08-15_final.stac-item
2021-11-03 11:23:11	ga_s2am_ard_3-2-1_51KZT_2021-11-03_final.stac-item
2021-11-06 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2021-11-06_final.stac-item
2022-02-08 11:10:42	ga_s2am_ard_3-2-1_52LGM_2022-02-08_final.stac-item
2022-03-03 11:23:04	ga_s2am_ard_3-2-1_51KXU_2022-03-03_final.stac-item
2022-04-04 12:04:29	ga_s2am_ard_3-2-1_50KKU_2022-04-04_final.stac-item
2022-06-21 11:23:00	ga_s2am_ard_3-2-1_52KCD_2022-06-21_final.stac-item
2022-06-25 11:04:24	ga_s2am_ard_3-2-1_52KEU_2022-06-25_final.stac-item
2022-09-16 11:13:49	ga_s2am_ard_3-2-1_52KBA_2022-09-16_final.stac-item
2022-10-09 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2022-10-09_final.stac-item
2022-10-12 11:36:43	ga_s2am_ard_3-2-1_50HPK_2022-10-12_final.stac-item
2022-10-26 11:13:47	ga_s2am_ard_3-2-1_52KEV_2022-10-26_final.stac-item
2022-11-14 11:41:21	ga_s2am_ard_3-2-1_51LUF_2022-11-14_final.stac-item
2023-01-14 11:13:26	ga_s2am_ard_3-2-1_51KZS_2023-01-14_final.stac-item
2023-01-24 11:14:17	ga_s2am_ard_3-2-1_52JCT_2023-01-24_final.stac-item
2023-03-28 11:24:39	ga_s2am_ard_3-2-1_51JXM_2023-03-28_final
2023-04-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-04-07_final
2023-04-16 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-16_final
2023-06-06 11:22:56	ga_s2am_ard_3-2-1_51KZU_2023-06-06_final
2023-06-06 11:24:18	ga_s2am_ard_3-2-1_51KWP_2023-06-06_final
2023-06-23 11:13:37	ga_s2am_ard_3-2-1_52KDA_2023-06-23_final
2023-06-23 11:14:12	ga_s2am_ard_3-2-1_51KZP_2023-06-23_final
2023-08-07 12:03:49	ga_s2am_ard_3-2-1_50KKB_2023-08-07_final
2023-08-31 11:42:41	ga_s2am_ard_3-2-1_51KVA_2023-08-31_final
2023-09-14 11:23:10	ga_s2am_ard_3-2-1_52KBC_2023-09-14_final
2023-09-24 11:23:51	ga_s2am_ard_3-2-1_52KBV_2023-09-24_final
2023-09-30 11:43:02	ga_s2am_ard_3-2-1_51KUU_2023-09-30_final
2023-12-07 11:02:49	ga_s2am_ard_3-2-1_52KHC_2023-12-07_final
2023-12-10 11:10:56	ga_s2am_ard_3-2-1_52LFL_2023-12-10_final
2024-02-08 11:12:31	ga_s2am_ard_3-2-1_52KDE_2024-02-08_final
2024-03-02 11:23:50	ga_s2am_ard_3-2-1_52KBV_2024-03-02_final
2024-03-09 11:10:25	ga_s2am_ard_3-2-1_52LHN_2024-03-09_final
2024-03-09 11:13:29	ga_s2am_ard_3-2-1_51KZS_2024-03-09_final
2024-03-18 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-18_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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