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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JBS_2015-10-23_final.stac-item
2015-11-24 11:56:24	ga_s2am_ard_3-2-1_50JML_2015-11-24_final.stac-item
2015-12-28 11:36:25	ga_s2am_ard_3-2-1_51HVE_2015-12-28_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXA_2016-01-07_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JTK_2016-02-19_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_51HXD_2016-03-11_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_51KZR_2016-05-20_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KZT_2016-05-23_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMV_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVG_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KUP_2016-06-05_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCM_2016-08-05_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KWU_2016-08-24_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51KXS_2016-11-19_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LYC_2017-01-18_final.stac-item
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51LZE_2017-02-10_final.stac-item
2017-03-09 11:26:01	ga_s2am_ard_3-2-1_51JUF_2017-03-09_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JMS_2017-04-10_final.stac-item
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JUM_2017-04-21_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTC_2017-05-11_final.stac-item
2017-08-26 11:17:00	ga_s2am_ard_3-2-1_51KZB_2017-08-26_final.stac-item
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KQC_2017-12-03_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KVV_2017-12-30_final.stac-item
2018-01-16 11:35:56	ga_s2am_ard_3-2-1_50JQM_2018-01-16_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXK_2018-02-02_final.stac-item
2018-03-14 11:26:47	ga_s2am_ard_3-2-1_51HVC_2018-03-14_final.stac-item
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HYD_2018-04-20_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KGP_2018-04-25_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGL_2018-05-25_final.stac-item
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51HWD_2018-06-29_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKM_2018-07-11_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-08-03_final.stac-item
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JDR_2018-08-05_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-09-06_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKM_2018-09-19_final.stac-item
2018-11-12 11:36:58	ga_s2am_ard_3-2-1_50HQH_2018-11-12_final.stac-item
2018-12-15 11:46:39	ga_s2am_ard_3-2-1_50HPJ_2018-12-15_final.stac-item
2018-12-31 12:03:17	ga_s2am_ard_3-2-1_50KMC_2018-12-31_final.stac-item
2019-03-22 11:31:34	ga_s2am_ard_3-2-1_51LXD_2019-03-22_final.stac-item
2019-04-04 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-04-04_final.stac-item
2019-05-01 11:37:06	ga_s2am_ard_3-2-1_50HQH_2019-05-01_final.stac-item
2019-07-13 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2019-07-13_final.stac-item
2019-07-14 11:15:53	ga_s2am_ard_3-2-1_52JCM_2019-07-14_final.stac-item
2019-07-29 12:06:14	ga_s2am_ard_3-2-1_50JKM_2019-07-29_final.stac-item
2019-09-05 11:22:23	ga_s2am_ard_3-2-1_51KZA_2019-09-05_final.stac-item
2019-10-05 11:26:49	ga_s2am_ard_3-2-1_51HUD_2019-10-05_final.stac-item
2019-12-01 11:16:39	ga_s2am_ard_3-2-1_51HXD_2019-12-01_final.stac-item
2020-03-26 11:34:57	ga_s2am_ard_3-2-1_51JUL_2020-03-26_final.stac-item
2020-04-22 11:26:33	ga_s2am_ard_3-2-1_51HUE_2020-04-22_final.stac-item
2020-05-24 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-05-24_final.stac-item
2020-05-28 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-05-28_final.stac-item
2020-05-28 11:43:24	ga_s2am_ard_3-2-1_51KTT_2020-05-28_final.stac-item
2020-08-07 11:15:02	ga_s2am_ard_3-2-1_51JYL_2020-08-07_final.stac-item
2020-09-02 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-02_final.stac-item
2020-11-17 11:56:02	ga_s2am_ard_3-2-1_50JKN_2020-11-17_final.stac-item
2021-02-02 11:42:31	ga_s2am_ard_3-2-1_51KUA_2021-02-02_final.stac-item
2021-02-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-02-02_final.stac-item
2021-02-12 11:43:46	ga_s2am_ard_3-2-1_50KRA_2021-02-12_final.stac-item
2021-03-07 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-03-07_final.stac-item
2021-04-29 12:06:07	ga_s2am_ard_3-2-1_50JKM_2021-04-29_final.stac-item
2021-05-23 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-05-23_final.stac-item
2021-07-12 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-07-12_final.stac-item
2021-08-07 12:04:31	ga_s2am_ard_3-2-1_49KHP_2021-08-07_final.stac-item
2021-08-18 11:36:36	ga_s2am_ard_3-2-1_50HQK_2021-08-18_final.stac-item
2021-09-26 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-09-26_final.stac-item
2021-09-27 11:34:40	ga_s2am_ard_3-2-1_50JRT_2021-09-27_final.stac-item
2021-12-02 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-12-02_final.stac-item
2022-01-25 11:36:10	ga_s2am_ard_3-2-1_51JVF_2022-01-25_final.stac-item
2022-02-04 11:34:14	ga_s2am_ard_3-2-1_51KVP_2022-02-04_final.stac-item
2022-02-13 12:06:09	ga_s2am_ard_3-2-1_50JKM_2022-02-13_final.stac-item
2022-02-15 11:05:49	ga_s2am_ard_3-2-1_52JDM_2022-02-15_final.stac-item
2022-03-03 11:24:36	ga_s2am_ard_3-2-1_51JZM_2022-03-03_final.stac-item
2022-04-02 11:25:59	ga_s2am_ard_3-2-1_51JWG_2022-04-02_final.stac-item
2022-04-29 11:14:43	ga_s2am_ard_3-2-1_52JBS_2022-04-29_final.stac-item
2022-04-29 11:16:42	ga_s2am_ard_3-2-1_51HYD_2022-04-29_final.stac-item
2022-05-12 11:25:20	ga_s2am_ard_3-2-1_51JVK_2022-05-12_final.stac-item
2022-05-31 11:54:41	ga_s2am_ard_3-2-1_50JPT_2022-05-31_final.stac-item
2022-07-04 11:35:54	ga_s2am_ard_3-2-1_51JVH_2022-07-04_final.stac-item
2022-07-15 11:06:10	ga_s2am_ard_3-2-1_52JBM_2022-07-15_final.stac-item
2022-09-06 11:16:05	ga_s2am_ard_3-2-1_51JYG_2022-09-06_final.stac-item
2022-09-16 12:51:08	ga_s2am_ard_3-2-1_48LXP_2022-09-16_interim
2022-09-22 11:36:45	ga_s2am_ard_3-2-1_50HPK_2022-09-22_final.stac-item
2022-12-08 11:23:25	ga_s2am_ard_3-2-1_51KYS_2022-12-08_final.stac-item
2023-01-21 11:06:30	ga_s2am_ard_3-2-1_52HBJ_2023-01-21_final
2023-01-26 11:54:45	ga_s2am_ard_3-2-1_50JPS_2023-01-26_final.stac-item
2023-01-26 11:55:36	ga_s2am_ard_3-2-1_50JMP_2023-01-26_final.stac-item
2023-02-28 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-02-28_final
2023-05-24 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-05-24_final
2023-06-26 11:23:10	ga_s2am_ard_3-2-1_51KZT_2023-06-26_final
2023-08-02 11:16:28	ga_s2am_ard_3-2-1_51HYE_2023-08-02_final
2023-10-07 11:33:31	ga_s2am_ard_3-2-1_51KVS_2023-10-07_final
2023-10-24 11:26:36	ga_s2am_ard_3-2-1_51HXD_2023-10-24_final
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final
2023-12-10 11:15:13	ga_s2am_ard_3-2-1_52JCP_2023-12-10_final
2023-12-24 10:56:00	ga_s2am_ard_3-2-1_52JEL_2023-12-24_final
2024-02-23 12:04:26	ga_s2am_ard_3-2-1_50KKU_2024-02-23_final
2024-03-06 11:06:36	ga_s2am_ard_3-2-1_52HBJ_2024-03-06_final
2024-04-07 11:43:10	ga_s2am_ard_3-2-1_51KUT_2024-04-07_final
2024-04-10 11:53:54	ga_s2am_ard_3-2-1_50KNA_2024-04-10_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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