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
2015-07-12 11:02:41	ga_s2am_ard_3-2-1_52JER_2015-07-12_final.stac-item
2015-11-21 11:34:14	ga_s2am_ard_3-2-1_51LUE_2015-11-21_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGM_2016-01-06_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53HNC_2016-01-29_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_53HPC_2016-03-06_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LFK_2016-03-11_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQJ_2016-04-06_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KYT_2016-05-03_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_52KBB_2016-06-12_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXS_2016-07-22_final.stac-item
2016-09-17 11:10:32	ga_s2am_ard_3-2-1_52LHM_2016-09-17_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51KYA_2017-03-19_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HMH_2017-04-27_final.stac-item
2017-06-12 10:32:12	ga_s2am_ard_3-2-1_53HPB_2017-06-12_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KLC_2018-03-06_final.stac-item
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52JCM_2018-03-31_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JWG_2018-06-12_final.stac-item
2018-06-14 10:17:05	ga_s2am_ard_3-2-1_53HQC_2018-06-14_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final.stac-item
2018-11-08 11:56:21	ga_s2am_ard_3-2-1_50JLL_2018-11-08_final.stac-item
2018-12-17 10:45:49	ga_s2am_ard_3-2-1_53JKF_2018-12-17_final.stac-item
2019-02-19 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-02-19_final.stac-item
2019-05-01 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-05-01_final.stac-item
2019-05-01 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-05-01_final.stac-item
2019-06-15 10:46:13	ga_s2am_ard_3-2-1_53HLE_2019-06-15_final.stac-item
2019-06-17 11:23:31	ga_s2am_ard_3-2-1_51KXS_2019-06-17_final.stac-item
2019-09-22 11:16:20	ga_s2am_ard_3-2-1_52HBK_2019-09-22_final.stac-item
2019-12-07 11:34:34	ga_s2am_ard_3-2-1_50JRT_2019-12-07_final.stac-item
2019-12-14 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-12-14_final.stac-item
2020-01-22 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-01-22_final
2020-02-11 11:55:07	ga_s2am_ard_3-2-1_50JNQ_2020-02-11_final.stac-item
2020-02-19 11:16:38	ga_s2am_ard_3-2-1_51HWD_2020-02-19_final.stac-item
2020-03-16 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-03-16_final.stac-item
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_50KKA_2020-04-14_final.stac-item
2020-04-14 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-04-14_final.stac-item
2020-05-02 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2020-05-02_final.stac-item
2020-05-04 12:05:55	ga_s2am_ard_3-2-1_50JLN_2020-05-04_final.stac-item
2020-05-30 10:46:15	ga_s2am_ard_3-2-1_53HLE_2020-05-30_final.stac-item
2020-07-05 11:05:24	ga_s2am_ard_3-2-1_52JDP_2020-07-05_final.stac-item
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final.stac-item
2020-08-17 11:14:37	ga_s2am_ard_3-2-1_52JDS_2020-08-17_final.stac-item
2020-09-01 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-09-01_final.stac-item
2020-11-04 11:43:05	ga_s2am_ard_3-2-1_51KUU_2020-11-04_final.stac-item
2020-11-05 11:11:31	ga_s2am_ard_3-2-1_52LGJ_2020-11-05_final.stac-item
2020-11-12 11:03:06	ga_s2am_ard_3-2-1_52KFC_2020-11-12_final.stac-item
2020-11-17 11:53:20	ga_s2am_ard_3-2-1_50KQC_2020-11-17_final.stac-item
2020-11-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2020-11-18_final.stac-item
2020-11-21 11:32:28	ga_s2am_ard_3-2-1_51KXA_2020-11-21_final.stac-item
2020-11-25 11:10:38	ga_s2am_ard_3-2-1_52LHM_2020-11-25_final.stac-item
2020-12-15 11:10:59	ga_s2am_ard_3-2-1_52LFL_2020-12-15_final.stac-item
2021-01-07 11:22:49	ga_s2am_ard_3-2-1_51KZU_2021-01-07_final.stac-item
2021-01-23 11:42:32	ga_s2am_ard_3-2-1_51KUA_2021-01-23_final.stac-item
2021-02-08 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-08_final.stac-item
2021-02-10 11:00:29	ga_s2am_ard_3-2-1_52LHN_2021-02-10_final.stac-item
2021-02-19 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-02-19_final.stac-item
2021-03-04 11:41:55	ga_s2am_ard_3-2-1_51LWC_2021-03-04_final.stac-item
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_50KKU_2021-03-30_final.stac-item
2021-04-30 11:33:57	ga_s2am_ard_3-2-1_51KVQ_2021-04-30_final.stac-item
2021-05-10 11:36:27	ga_s2am_ard_3-2-1_51HUE_2021-05-10_final.stac-item
2021-05-18 10:55:42	ga_s2am_ard_3-2-1_52JGM_2021-05-18_final.stac-item
2021-05-31 11:03:34	ga_s2am_ard_3-2-1_52KHV_2021-05-31_final.stac-item
2021-10-04 11:26:05	ga_s2am_ard_3-2-1_51JVG_2021-10-04_final.stac-item
2021-11-19 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-11-19_final.stac-item
2021-12-19 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-12-19_final.stac-item
2021-12-24 10:55:32	ga_s2am_ard_3-2-1_52JFN_2021-12-24_final.stac-item
2021-12-30 11:14:10	ga_s2am_ard_3-2-1_51KZP_2021-12-30_final.stac-item
2022-01-16 11:00:49	ga_s2am_ard_3-2-1_52LGM_2022-01-16_final.stac-item
2022-01-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-01-18_final.stac-item
2022-03-13 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-03-13_final.stac-item
2022-03-23 11:25:37	ga_s2am_ard_3-2-1_51JYH_2022-03-23_final.stac-item
2022-04-15 11:33:45	ga_s2am_ard_3-2-1_51KWR_2022-04-15_final.stac-item
2022-05-06 11:06:08	ga_s2am_ard_3-2-1_52JDL_2022-05-06_final.stac-item
2022-05-18 11:44:51	ga_s2am_ard_3-2-1_51JTM_2022-05-18_final.stac-item
2022-05-24 12:04:40	ga_s2am_ard_3-2-1_49KHP_2022-05-24_final.stac-item
2022-06-30 11:52:47	ga_s2am_ard_3-2-1_50KQF_2022-06-30_final
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-12 11:36:34	ga_s2am_ard_3-2-1_51HVE_2022-09-12_final.stac-item
2022-09-19 11:23:58	ga_s2am_ard_3-2-1_51KZQ_2022-09-19_final.stac-item
2022-10-25 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-10-25_final.stac-item
2022-11-18 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-11-18_final.stac-item
2022-12-08 11:25:57	ga_s2am_ard_3-2-1_51JWG_2022-12-08_final.stac-item
2022-12-30 10:26:43	ga_s2am_ard_3-2-1_53HPC_2022-12-30_final.stac-item
2023-01-30 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-30_final.stac-item
2023-01-31 11:04:28	ga_s2am_ard_3-2-1_52JDS_2023-01-31_final.stac-item
2023-04-10 11:33:02	ga_s2am_ard_3-2-1_51KVU_2023-04-10_final
2023-04-27 11:23:03	ga_s2am_ard_3-2-1_52KCC_2023-04-27_final
2023-04-28 10:55:31	ga_s2am_ard_3-2-1_52JFN_2023-04-28_final
2023-04-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-29_final
2023-05-26 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2023-05-26_final
2023-06-02 11:46:12	ga_s2am_ard_3-2-1_50JNM_2023-06-02_final
2023-07-01 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-07-01_final
2023-07-06 11:23:26	ga_s2am_ard_3-2-1_51KZS_2023-07-06_final
2023-07-19 11:33:42	ga_s2am_ard_3-2-1_51KXR_2023-07-19_final
2023-08-04 11:55:44	ga_s2am_ard_3-2-1_50JMP_2023-08-04_final
2023-08-28 11:33:15	ga_s2am_ard_3-2-1_51KXT_2023-08-28_final
2023-09-26 12:06:06	ga_s2am_ard_3-2-1_50JLM_2023-09-26_final
2023-11-17 11:00:43	ga_s2am_ard_3-2-1_52LHM_2023-11-17_final
2023-11-27 11:00:38	ga_s2am_ard_3-2-1_52LHM_2023-11-27_final
2024-01-09 11:14:04	ga_s2am_ard_3-2-1_51KZP_2024-01-09_final
2024-02-18 11:10:45	ga_s2am_ard_3-2-1_52LFM_2024-02-18_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

All years