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
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51KZT_2016-05-03_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KWV_2016-08-24_final.stac-item
2016-11-08 11:56:06	ga_s2am_ard_3-2-1_50JMM_2016-11-08_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KWB_2016-11-12_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHR_2016-11-24_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_52KCF_2017-06-27_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPK_2017-07-23_final.stac-item
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51HWD_2017-08-06_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVP_2018-02-25_final.stac-item
2018-03-28 11:00:18	ga_s2am_ard_3-2-1_52JFR_2018-03-28_final.stac-item
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KXR_2018-04-03_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HUD_2018-04-16_final.stac-item
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KLC_2018-05-25_final.stac-item
2018-06-02 11:23:55	ga_s2am_ard_3-2-1_51HUD_2018-06-02_final.stac-item
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KXR_2018-06-22_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KXQ_2018-07-05_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQJ_2018-09-06_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51HTC_2018-09-23_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KXR_2018-09-23_final.stac-item
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KBV_2018-10-27_final.stac-item
2019-02-13 11:42:39	ga_s2am_ard_3-2-1_51KVV_2019-02-13_final.stac-item
2019-04-17 11:56:16	ga_s2am_ard_3-2-1_50JKM_2019-04-17_final.stac-item
2019-04-21 11:32:32	ga_s2am_ard_3-2-1_51KWA_2019-04-21_final.stac-item
2019-05-17 11:55:19	ga_s2am_ard_3-2-1_50JPQ_2019-05-17_final.stac-item
2019-05-18 11:24:22	ga_s2am_ard_3-2-1_51JZN_2019-05-18_final.stac-item
2019-05-28 11:22:55	ga_s2am_ard_3-2-1_51KZU_2019-05-28_final.stac-item
2019-06-30 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-06-30_final.stac-item
2019-07-07 11:25:43	ga_s2am_ard_3-2-1_51JXH_2019-07-07_final.stac-item
2019-07-20 11:34:37	ga_s2am_ard_3-2-1_51JUN_2019-07-20_final.stac-item
2019-10-15 11:22:51	ga_s2am_ard_3-2-1_52KCD_2019-10-15_final.stac-item
2019-10-25 11:24:33	ga_s2am_ard_3-2-1_51JWN_2019-10-25_final.stac-item
2019-12-07 11:36:55	ga_s2am_ard_3-2-1_51HUC_2019-12-07_final.stac-item
2020-01-02 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-02_final.stac-item
2020-03-25 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-03-25_final.stac-item
2020-04-19 11:13:26	ga_s2am_ard_3-2-1_52KBB_2020-04-19_final.stac-item
2020-04-24 12:03:25	ga_s2am_ard_3-2-1_50KMC_2020-04-24_final.stac-item
2020-06-24 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-06-24_final.stac-item
2020-08-09 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-08-09_final.stac-item
2020-08-19 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-08-19_final
2020-09-12 11:37:01	ga_s2am_ard_3-2-1_51HUC_2020-09-12_final.stac-item
2020-09-21 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-09-21_final.stac-item
2020-09-25 11:43:27	ga_s2am_ard_3-2-1_50KQC_2020-09-25_final.stac-item
2020-09-26 11:15:48	ga_s2am_ard_3-2-1_51JXH_2020-09-26_final.stac-item
2020-10-16 11:15:27	ga_s2am_ard_3-2-1_52JBP_2020-10-16_final.stac-item
2020-12-08 11:23:51	ga_s2am_ard_3-2-1_51KYQ_2020-12-08_final.stac-item
2020-12-15 11:12:50	ga_s2am_ard_3-2-1_52KCD_2020-12-15_final.stac-item
2020-12-18 11:22:36	ga_s2am_ard_3-2-1_51KZV_2020-12-18_final.stac-item
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2020-12-20_final.stac-item
2021-01-03 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-01-03_final.stac-item
2021-02-06 11:24:55	ga_s2am_ard_3-2-1_51JXL_2021-02-06_final.stac-item
2021-02-22 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2021-02-22_final.stac-item
2021-03-17 11:53:10	ga_s2am_ard_3-2-1_50KRC_2021-03-17_final.stac-item
2021-05-08 10:55:12	ga_s2am_ard_3-2-1_52JGP_2021-05-08_final.stac-item
2021-06-09 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-06-09_final.stac-item
2021-06-19 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-06-19_final.stac-item
2021-06-20 11:04:19	ga_s2am_ard_3-2-1_52JET_2021-06-20_final.stac-item
2021-06-29 11:33:50	ga_s2am_ard_3-2-1_51KUR_2021-06-29_final.stac-item
2021-07-19 11:35:40	ga_s2am_ard_3-2-1_50JQP_2021-07-19_final.stac-item
2021-07-31 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-07-31_final.stac-item
2021-08-02 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2021-08-02_final.stac-item
2021-09-27 11:34:09	ga_s2am_ard_3-2-1_51KXP_2021-09-27_final.stac-item
2021-11-06 11:36:35	ga_s2am_ard_3-2-1_51HTE_2021-11-06_final.stac-item
2021-11-20 11:13:39	ga_s2am_ard_3-2-1_52KBA_2021-11-20_final.stac-item
2021-11-23 11:23:16	ga_s2am_ard_3-2-1_52KCB_2021-11-23_final.stac-item
2021-12-29 11:43:26	ga_s2am_ard_3-2-1_50KQC_2021-12-29_final.stac-item
2022-01-04 12:05:13	ga_s2am_ard_3-2-1_50JKR_2022-01-04_final.stac-item
2022-01-05 11:32:45	ga_s2am_ard_3-2-1_51KWV_2022-01-05_final.stac-item
2022-01-12 11:23:08	ga_s2am_ard_3-2-1_51KZT_2022-01-12_final.stac-item
2022-03-06 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-03-06_final.stac-item
2022-03-13 11:24:19	ga_s2am_ard_3-2-1_51KWP_2022-03-13_final.stac-item
2022-03-23 11:26:31	ga_s2am_ard_3-2-1_51HUE_2022-03-23_final.stac-item
2022-03-30 11:13:36	ga_s2am_ard_3-2-1_52KDA_2022-03-30_final.stac-item
2022-06-03 12:04:07	ga_s2am_ard_3-2-1_50KKA_2022-06-03_final.stac-item
2022-06-08 11:13:37	ga_s2am_ard_3-2-1_51KZS_2022-06-08_final.stac-item
2022-07-11 11:22:54	ga_s2am_ard_3-2-1_51KYV_2022-07-11_final.stac-item
2022-07-14 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-07-14_final.stac-item
2022-08-17 11:14:04	ga_s2am_ard_3-2-1_52KCV_2022-08-17_final.stac-item
2022-09-05 11:42:25	ga_s2am_ard_3-2-1_51KVB_2022-09-05_final.stac-item
2022-10-20 10:55:44	ga_s2am_ard_3-2-1_52JGM_2022-10-20_final.stac-item
2022-10-23 11:05:47	ga_s2am_ard_3-2-1_52JEM_2022-10-23_final.stac-item
2022-10-26 11:13:32	ga_s2am_ard_3-2-1_51KZS_2022-10-26_final.stac-item
2022-12-13 12:14:31	ga_s2am_ard_3-2-1_49KFP_2022-12-13_nrt.stac-item
2023-03-01 11:32:44	ga_s2am_ard_3-2-1_51KVV_2023-03-01_final
2023-05-10 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-05-10_final
2023-06-13 11:13:44	ga_s2am_ard_3-2-1_51KZR_2023-06-13_final
2023-06-13 11:13:55	ga_s2am_ard_3-2-1_52KCV_2023-06-13_final
2023-06-22 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-22_final
2023-07-11 12:14:03	ga_s2am_ard_3-2-1_49KGR_2023-07-11_final
2023-07-29 11:32:27	ga_s2am_ard_3-2-1_51KYA_2023-07-29_final
2023-09-17 11:32:50	ga_s2am_ard_3-2-1_51KVV_2023-09-17_final
2023-09-24 11:22:54	ga_s2am_ard_3-2-1_51KZU_2023-09-24_final
2023-10-16 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-10-16_final
2023-10-30 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-10-30_final
2023-11-09 11:43:03	ga_s2am_ard_3-2-1_51KTU_2023-11-09_final
2023-12-09 11:43:08	ga_s2am_ard_3-2-1_50KRC_2023-12-09_final
2024-01-29 11:16:39	ga_s2am_ard_3-2-1_51HWD_2024-01-29_final
2024-02-16 12:15:08	ga_s2am_ard_3-2-1_49JGL_2024-02-16_final
2024-03-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-27_final
2024-04-04 11:33:45	ga_s2am_ard_3-2-1_51KUR_2024-04-04_final
2024-04-08 11:13:32	ga_s2am_ard_3-2-1_52KDA_2024-04-08_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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