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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGJ_2016-02-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQL_2016-05-29_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQC_2016-07-21_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-08-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50JPL_2016-10-16_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGL_2016-12-01_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HUD_2017-01-18_final.stac-item
2017-10-25 11:21:08	ga_s2am_ard_3-2-1_51HUC_2017-10-25_final.stac-item
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFM_2017-12-09_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50KKA_2018-06-24_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51HUC_2018-07-15_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JMM_2018-07-28_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_50KKB_2018-08-06_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50KNB_2018-08-20_final.stac-item
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51HVC_2018-09-20_final.stac-item
2018-11-11 12:04:23	ga_s2am_ard_3-2-1_50KKU_2018-11-11_final.stac-item
2018-11-21 12:03:20	ga_s2am_ard_3-2-1_50KLC_2018-11-21_final.stac-item
2018-11-28 11:53:16	ga_s2am_ard_3-2-1_50KNC_2018-11-28_final.stac-item
2018-12-22 11:34:35	ga_s2am_ard_3-2-1_51JVM_2018-12-22_final.stac-item
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_50KKA_2019-01-23_final.stac-item
2019-01-30 12:04:25	ga_s2am_ard_3-2-1_50KKU_2019-01-30_final.stac-item
2019-02-23 11:46:15	ga_s2am_ard_3-2-1_50JPL_2019-02-23_final.stac-item
2019-03-05 11:46:24	ga_s2am_ard_3-2-1_50HQK_2019-03-05_final.stac-item
2019-03-08 11:53:48	ga_s2am_ard_3-2-1_50KNA_2019-03-08_final.stac-item
2019-03-25 11:46:25	ga_s2am_ard_3-2-1_50JML_2019-03-25_final.stac-item
2019-04-14 11:46:55	ga_s2am_ard_3-2-1_50HQH_2019-04-14_final.stac-item
2019-07-12 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-12_final.stac-item
2019-08-28 12:06:05	ga_s2am_ard_3-2-1_50JLM_2019-08-28_final.stac-item
2019-09-08 11:36:37	ga_s2am_ard_3-2-1_50HPK_2019-09-08_final.stac-item
2019-10-01 11:46:35	ga_s2am_ard_3-2-1_50HPK_2019-10-01_final.stac-item
2019-10-28 11:37:04	ga_s2am_ard_3-2-1_51HTC_2019-10-28_final.stac-item
2019-12-13 11:53:20	ga_s2am_ard_3-2-1_50KNC_2019-12-13_final.stac-item
2019-12-17 11:36:26	ga_s2am_ard_3-2-1_51HTE_2019-12-17_final.stac-item
2019-12-30 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-12-30_final.stac-item
2020-01-03 11:26:42	ga_s2am_ard_3-2-1_51HUD_2020-01-03_final.stac-item
2020-01-16 11:34:23	ga_s2am_ard_3-2-1_51JVN_2020-01-16_final.stac-item
2020-02-25 11:36:38	ga_s2am_ard_3-2-1_51HUD_2020-02-25_final.stac-item
2020-04-08 11:46:31	ga_s2am_ard_3-2-1_50HPK_2020-04-08_final.stac-item
2020-04-15 11:36:57	ga_s2am_ard_3-2-1_51HUC_2020-04-15_final.stac-item
2020-04-24 12:03:28	ga_s2am_ard_3-2-1_50KLC_2020-04-24_final.stac-item
2020-05-11 11:53:26	ga_s2am_ard_3-2-1_50KPC_2020-05-11_final.stac-item
2020-07-07 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-07-07_final.stac-item
2020-07-17 11:44:57	ga_s2am_ard_3-2-1_50JPS_2020-07-17_final.stac-item
2020-08-07 11:16:50	ga_s2am_ard_3-2-1_51HWD_2020-08-07_final.stac-item
2020-09-08 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-09-08_final.stac-item
2020-09-12 11:35:49	ga_s2am_ard_3-2-1_51JUH_2020-09-12_final.stac-item
2020-10-12 11:37:07	ga_s2am_ard_3-2-1_51HTC_2020-10-12_final.stac-item
2020-10-15 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-10-15_final.stac-item
2020-11-04 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-11-04_final.stac-item
2020-12-08 11:26:44	ga_s2am_ard_3-2-1_51HUD_2020-12-08_final.stac-item
2020-12-14 11:46:31	ga_s2am_ard_3-2-1_50HPK_2020-12-14_final.stac-item
2021-01-16 11:53:31	ga_s2am_ard_3-2-1_50KMC_2021-01-16_final.stac-item
2021-01-30 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-01-30_final.stac-item
2021-02-26 11:25:56	ga_s2am_ard_3-2-1_51JWG_2021-02-26_final.stac-item
2021-03-10 12:03:19	ga_s2am_ard_3-2-1_50KNC_2021-03-10_final.stac-item
2021-03-11 11:35:12	ga_s2am_ard_3-2-1_51JVK_2021-03-11_final.stac-item
2021-04-26 11:56:08	ga_s2am_ard_3-2-1_50JLM_2021-04-26_final.stac-item
2021-05-13 11:43:51	ga_s2am_ard_3-2-1_50KQA_2021-05-13_final.stac-item
2021-06-02 11:44:24	ga_s2am_ard_3-2-1_50KPU_2021-06-02_final.stac-item
2021-06-19 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-06-19_final.stac-item
2021-07-25 11:53:50	ga_s2am_ard_3-2-1_50KQA_2021-07-25_final.stac-item
2021-08-08 11:37:03	ga_s2am_ard_3-2-1_51HTC_2021-08-08_final.stac-item
2021-09-04 11:26:39	ga_s2am_ard_3-2-1_51HWD_2021-09-04_final.stac-item
2021-09-14 11:25:58	ga_s2am_ard_3-2-1_51JWG_2021-09-14_final.stac-item
2021-11-18 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-11-18_final.stac-item
2021-11-22 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-11-22_final.stac-item
2021-12-15 12:03:20	ga_s2am_ard_3-2-1_50KNC_2021-12-15_final.stac-item
2022-01-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-01-04_final.stac-item
2022-04-09 11:16:42	ga_s2am_ard_3-2-1_51HXD_2022-04-09_final.stac-item
2022-04-18 11:43:22	ga_s2am_ard_3-2-1_50KRC_2022-04-18_final.stac-item
2022-05-31 11:56:44	ga_s2am_ard_3-2-1_50HMK_2022-05-31_final.stac-item
2022-06-07 11:43:26	ga_s2am_ard_3-2-1_50KRC_2022-06-07_final.stac-item
2022-06-10 11:55:22	ga_s2am_ard_3-2-1_50JLR_2022-06-10_final.stac-item
2022-06-13 12:04:52	ga_s2am_ard_3-2-1_49JHN_2022-06-13_final.stac-item
2022-06-23 12:05:50	ga_s2am_ard_3-2-1_50JLP_2022-06-23_final.stac-item
2022-07-03 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-07-03_final.stac-item
2022-09-21 12:04:06	ga_s2am_ard_3-2-1_50KKA_2022-09-21_final.stac-item
2022-09-29 11:27:15	ga_s2am_ard_3-2-1_51HTC_2022-09-29_final.stac-item
2022-10-05 11:43:25	ga_s2am_ard_3-2-1_50KRC_2022-10-05_final.stac-item
2022-10-15 11:46:17	ga_s2am_ard_3-2-1_50JMM_2022-10-15_final.stac-item
2022-10-31 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-10-31_final.stac-item
2022-12-13 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-12-13_final.stac-item
2023-04-03 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-03_final
2023-04-29 12:04:31	ga_s2am_ard_3-2-1_49KGP_2023-04-29_final
2023-06-06 11:26:58	ga_s2am_ard_3-2-1_51HWC_2023-06-06_final
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-28_final
2023-07-12 11:43:27	ga_s2am_ard_3-2-1_50KQC_2023-07-12_final
2023-07-18 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-18_final
2023-08-18 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-18_final
2023-10-13 11:54:49	ga_s2am_ard_3-2-1_50JNS_2023-10-13_final
2023-12-13 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-12-13_final
2023-12-22 11:56:14	ga_s2am_ard_3-2-1_50JNL_2023-12-22_final
2024-01-15 11:36:20	ga_s2am_ard_3-2-1_50JPL_2024-01-15_final
2024-01-29 11:16:17	ga_s2am_ard_3-2-1_51HYE_2024-01-29_final
2024-02-04 11:36:34	ga_s2am_ard_3-2-1_50HPK_2024-02-04_final
2024-03-14 12:04:42	ga_s2am_ard_3-2-1_50JKT_2024-03-14_final
2024-03-22 11:25:47	ga_s2am_ard_3-2-1_51JVH_2024-03-22_final
2024-04-23 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-04-23_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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