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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JWJ_2015-11-25_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JWM_2016-04-06_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JKM_2016-06-11_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2016-06-24_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JCT_2016-12-06_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KZV_2016-12-29_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KYU_2017-01-31_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQH_2017-05-11_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNA_2017-12-03_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JWK_2017-12-24_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JYJ_2017-12-24_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYJ_2018-01-13_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWG_2018-02-02_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXM_2018-02-22_final.stac-item
2018-03-18 11:05:41	ga_s2am_ard_3-2-1_52JDL_2018-03-18_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KUT_2018-04-29_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HYD_2018-05-20_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HQK_2018-06-05_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPH_2018-06-28_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-07-24_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLN_2018-08-20_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HLH_2018-10-06_final.stac-item
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KWT_2018-10-23_final.stac-item
2018-11-01 12:05:28	ga_s2am_ard_3-2-1_50JKM_2018-11-01_final.stac-item
2018-11-09 11:24:39	ga_s2am_ard_3-2-1_51JWM_2018-11-09_final.stac-item
2018-12-09 11:23:13	ga_s2am_ard_3-2-1_51KZS_2018-12-09_final.stac-item
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final.stac-item
2019-02-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2019-02-02_final.stac-item
2019-03-05 11:45:01	ga_s2am_ard_3-2-1_50JPR_2019-03-05_final.stac-item
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final.stac-item
2019-07-14 11:16:25	ga_s2am_ard_3-2-1_52HBK_2019-07-14_final.stac-item
2019-09-07 12:04:24	ga_s2am_ard_3-2-1_50KLU_2019-09-07_final.stac-item
2019-11-20 11:46:31	ga_s2am_ard_3-2-1_50HQK_2019-11-20_final.stac-item
2019-12-08 11:05:34	ga_s2am_ard_3-2-1_52JCN_2019-12-08_final.stac-item
2020-02-01 11:57:01	ga_s2am_ard_3-2-1_50HLH_2020-02-01_final.stac-item
2020-04-25 11:35:14	ga_s2am_ard_3-2-1_51JVK_2020-04-25_final.stac-item
2020-05-24 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-05-24_final.stac-item
2020-05-29 11:15:02	ga_s2am_ard_3-2-1_51JYL_2020-05-29_final.stac-item
2020-08-06 11:45:38	ga_s2am_ard_3-2-1_50JQP_2020-08-06_final.stac-item
2020-08-06 11:46:04	ga_s2am_ard_3-2-1_50JQM_2020-08-06_final.stac-item
2020-08-10 11:24:43	ga_s2am_ard_3-2-1_51JYM_2020-08-10_final.stac-item
2020-10-25 11:42:04	ga_s2am_ard_3-2-1_51LVC_2020-10-25_final.stac-item
2020-11-28 11:26:06	ga_s2am_ard_3-2-1_51JUG_2020-11-28_final.stac-item
2020-12-11 11:33:24	ga_s2am_ard_3-2-1_51KWS_2020-12-11_final.stac-item
2020-12-21 11:32:42	ga_s2am_ard_3-2-1_51KWV_2020-12-21_final.stac-item
2021-01-04 11:16:31	ga_s2am_ard_3-2-1_51HWE_2021-01-04_final.stac-item
2021-02-06 11:25:33	ga_s2am_ard_3-2-1_51JYH_2021-02-06_final.stac-item
2021-03-01 11:36:19	ga_s2am_ard_3-2-1_50JQL_2021-03-01_final.stac-item
2021-03-11 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-03-11_final.stac-item
2021-04-03 11:46:30	ga_s2am_ard_3-2-1_50HPK_2021-04-03_final.stac-item
2021-05-30 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-05-30_final.stac-item
2021-06-09 11:34:50	ga_s2am_ard_3-2-1_51JTM_2021-06-09_final.stac-item
2021-07-12 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-07-12_final.stac-item
2021-08-07 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-08-07_final.stac-item
2021-08-08 11:36:45	ga_s2am_ard_3-2-1_51HUD_2021-08-08_final.stac-item
2021-09-29 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2021-09-29_final.stac-item
2021-10-27 11:36:33	ga_s2am_ard_3-2-1_51HUE_2021-10-27_final.stac-item
2021-11-22 11:54:26	ga_s2am_ard_3-2-1_50KMU_2021-11-22_final.stac-item
2021-11-29 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-11-29_final.stac-item
2022-01-05 11:34:07	ga_s2am_ard_3-2-1_51KXP_2022-01-05_final.stac-item
2022-01-25 11:32:32	ga_s2am_ard_3-2-1_51KVA_2022-01-25_final.stac-item
2022-02-01 11:22:27	ga_s2am_ard_3-2-1_51KYA_2022-02-01_final.stac-item
2022-02-01 11:23:43	ga_s2am_ard_3-2-1_51KXR_2022-02-01_final.stac-item
2022-02-07 11:44:27	ga_s2am_ard_3-2-1_51JUN_2022-02-07_final.stac-item
2022-02-14 11:34:58	ga_s2am_ard_3-2-1_51JVL_2022-02-14_final.stac-item
2022-03-27 11:06:06	ga_s2am_ard_3-2-1_52JDL_2022-03-27_final.stac-item
2022-04-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-01_final.stac-item
2022-05-11 11:55:45	ga_s2am_ard_3-2-1_50JLP_2022-05-11_final.stac-item
2022-05-22 11:24:25	ga_s2am_ard_3-2-1_51JZN_2022-05-22_final.stac-item
2022-06-11 11:26:06	ga_s2am_ard_3-2-1_51JWG_2022-06-11_final.stac-item
2022-06-11 11:26:15	ga_s2am_ard_3-2-1_51JUG_2022-06-11_final.stac-item
2022-06-13 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-06-13_final.stac-item
2022-06-17 11:44:56	ga_s2am_ard_3-2-1_50JRS_2022-06-17_final.stac-item
2022-06-24 11:34:05	ga_s2am_ard_3-2-1_51KXQ_2022-06-24_final.stac-item
2022-07-21 11:25:21	ga_s2am_ard_3-2-1_51JXK_2022-07-21_final.stac-item
2022-09-22 11:36:45	ga_s2am_ard_3-2-1_50HPK_2022-09-22_final.stac-item
2022-10-02 11:35:26	ga_s2am_ard_3-2-1_51JTK_2022-10-02_final.stac-item
2022-10-29 11:27:05	ga_s2am_ard_3-2-1_51HUC_2022-10-29_final.stac-item
2022-12-08 11:26:44	ga_s2am_ard_3-2-1_51HVD_2022-12-08_final.stac-item
2022-12-15 11:16:26	ga_s2am_ard_3-2-1_51HXE_2022-12-15_final.stac-item
2023-02-20 11:06:32	ga_s2am_ard_3-2-1_52HBJ_2023-02-20_final
2023-02-28 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-28_final
2023-04-10 11:32:22	ga_s2am_ard_3-2-1_51KYA_2023-04-10_final
2023-05-04 11:14:29	ga_s2am_ard_3-2-1_51JYN_2023-05-04_final
2023-05-17 11:24:42	ga_s2am_ard_3-2-1_51JXM_2023-05-17_final
2023-07-29 11:33:50	ga_s2am_ard_3-2-1_51KVR_2023-07-29_final
2023-10-07 11:36:58	ga_s2am_ard_3-2-1_51HUC_2023-10-07_final
2023-10-21 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-10-21_final
2023-12-13 11:26:01	ga_s2am_ard_3-2-1_51JUG_2023-12-13_final
2024-01-12 11:26:35	ga_s2am_ard_3-2-1_51HWD_2024-01-12_final
2024-03-08 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2024-03-08_final
2024-03-12 11:22:09	ga_s2am_ard_3-2-1_51KZB_2024-03-12_final
2024-03-15 11:32:00	ga_s2am_ard_3-2-1_51LWC_2024-03-15_final
2024-03-22 11:22:53	ga_s2am_ard_3-2-1_51KZU_2024-03-22_final
2024-03-22 11:26:21	ga_s2am_ard_3-2-1_51JUF_2024-03-22_final
2024-03-25 11:32:33	ga_s2am_ard_3-2-1_51KVA_2024-03-25_final
2024-04-04 11:31:03	ga_s2am_ard_3-2-1_51LZF_2024-04-04_final
2024-04-10 11:53:36	ga_s2am_ard_3-2-1_50KPB_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

All years