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
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKV_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLA_2016-06-04_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51HUC_2016-06-12_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPH_2016-09-26_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWT_2016-12-22_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXR_2016-12-22_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HVC_2017-03-19_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JQN_2017-04-14_final.stac-item
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KWQ_2017-06-20_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49JGM_2017-07-29_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-08-08_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HPK_2017-08-12_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JQL_2017-09-01_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPJ_2017-09-28_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKM_2017-10-17_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTQ_2018-02-18_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYM_2018-03-11_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQJ_2018-05-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KXS_2018-05-26_final.stac-item
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYN_2018-06-19_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNJ_2018-08-17_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKM_2018-10-12_final.stac-item
2018-12-09 11:24:43	ga_s2am_ard_3-2-1_51JYL_2018-12-09_final.stac-item
2019-01-28 11:22:06	ga_s2am_ard_3-2-1_51KZB_2019-01-28_final.stac-item
2019-02-24 11:16:04	ga_s2am_ard_3-2-1_51JYF_2019-02-24_final.stac-item
2019-04-10 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-04-10_final.stac-item
2019-05-04 11:47:06	ga_s2am_ard_3-2-1_50HPH_2019-05-04_final.stac-item
2019-08-09 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-08-09_final.stac-item
2019-08-16 11:23:16	ga_s2am_ard_3-2-1_51KXT_2019-08-16_final.stac-item
2019-08-19 11:33:33	ga_s2am_ard_3-2-1_51KVS_2019-08-19_final.stac-item
2019-08-26 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2019-08-26_final.stac-item
2019-09-21 11:43:15	ga_s2am_ard_3-2-1_51KUT_2019-09-21_final.stac-item
2019-10-11 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-10-11_final.stac-item
2020-01-03 11:25:04	ga_s2am_ard_3-2-1_51JXK_2020-01-03_final.stac-item
2020-02-08 11:43:28	ga_s2am_ard_3-2-1_50KQB_2020-02-08_final.stac-item
2020-02-19 11:16:02	ga_s2am_ard_3-2-1_51JYF_2020-02-19_final.stac-item
2020-02-21 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-02-21_final.stac-item
2020-03-16 11:35:47	ga_s2am_ard_3-2-1_50JQN_2020-03-16_final.stac-item
2020-04-02 11:25:38	ga_s2am_ard_3-2-1_51JWH_2020-04-02_final.stac-item
2020-04-18 11:46:01	ga_s2am_ard_3-2-1_50JNN_2020-04-18_final.stac-item
2020-05-02 11:23:17	ga_s2am_ard_3-2-1_51KXT_2020-05-02_final.stac-item
2020-05-24 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-05-24_final.stac-item
2020-05-25 11:36:52	ga_s2am_ard_3-2-1_51HTD_2020-05-25_final.stac-item
2020-08-09 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-08-09_final.stac-item
2020-08-10 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-08-10_final.stac-item
2020-08-10 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2020-08-10_final.stac-item
2020-12-15 11:16:38	ga_s2am_ard_3-2-1_51HXD_2020-12-15_final.stac-item
2021-02-01 12:14:07	ga_s2am_ard_3-2-1_50KKV_2021-02-01_final.stac-item
2021-02-05 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2021-02-05_final.stac-item
2021-03-21 11:32:06	ga_s2am_ard_3-2-1_51KYB_2021-03-21_final.stac-item
2021-03-21 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-03-21_final.stac-item
2021-03-27 11:54:31	ga_s2am_ard_3-2-1_50JPT_2021-03-27_final.stac-item
2021-04-09 12:03:33	ga_s2am_ard_3-2-1_50KMB_2021-04-09_final.stac-item
2021-05-04 11:15:23	ga_s2am_ard_3-2-1_51JYJ_2021-05-04_final.stac-item
2021-06-22 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-06-22_final.stac-item
2021-06-23 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-23_final.stac-item
2021-06-23 11:16:42	ga_s2am_ard_3-2-1_51HXD_2021-06-23_final.stac-item
2021-06-26 11:23:12	ga_s2am_ard_3-2-1_51KYT_2021-06-26_final.stac-item
2021-07-19 11:33:16	ga_s2am_ard_3-2-1_51KWT_2021-07-19_final.stac-item
2021-08-31 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-08-31_final.stac-item
2021-09-17 11:33:32	ga_s2am_ard_3-2-1_51KVS_2021-09-17_final.stac-item
2021-10-11 11:16:42	ga_s2am_ard_3-2-1_51HYD_2021-10-11_final.stac-item
2021-11-10 11:15:13	ga_s2am_ard_3-2-1_51JYK_2021-11-10_final.stac-item
2021-11-19 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-11-19_final.stac-item
2021-12-09 11:46:34	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final.stac-item
2021-12-18 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-12-18_final.stac-item
2021-12-23 11:23:29	ga_s2am_ard_3-2-1_51KXS_2021-12-23_final.stac-item
2022-01-28 11:41:59	ga_s2am_ard_3-2-1_51LVC_2022-01-28_final.stac-item
2022-03-03 11:25:42	ga_s2am_ard_3-2-1_51JXH_2022-03-03_final.stac-item
2022-04-02 11:24:43	ga_s2am_ard_3-2-1_51JXM_2022-04-02_final.stac-item
2022-04-02 11:25:15	ga_s2am_ard_3-2-1_51JWK_2022-04-02_final.stac-item
2022-04-05 11:35:02	ga_s2am_ard_3-2-1_51JUL_2022-04-05_final.stac-item
2022-06-01 11:24:48	ga_s2am_ard_3-2-1_51JXM_2022-06-01_final.stac-item
2022-06-10 11:57:18	ga_s2am_ard_3-2-1_50HLH_2022-06-10_final.stac-item
2022-07-23 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-07-23_final.stac-item
2022-08-12 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-08-12_final.stac-item
2022-09-02 11:33:34	ga_s2am_ard_3-2-1_51KUT_2022-09-02_final.stac-item
2022-09-08 11:55:50	ga_s2am_ard_3-2-1_50JMP_2022-09-08_final.stac-item
2022-10-12 11:37:06	ga_s2am_ard_3-2-1_51HTC_2022-10-12_final.stac-item
2022-12-21 11:34:52	ga_s2am_ard_3-2-1_51JWL_2022-12-21_final.stac-item
2023-02-22 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-02-22_final
2023-03-30 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-03-30_final
2023-03-31 11:34:56	ga_s2am_ard_3-2-1_51JVL_2023-03-31_final
2023-03-31 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-03-31_final
2023-06-05 11:56:18	ga_s2am_ard_3-2-1_50JKM_2023-06-05_final
2023-06-19 11:33:13	ga_s2am_ard_3-2-1_51KXT_2023-06-19_final
2023-06-26 11:24:13	ga_s2am_ard_3-2-1_51KYP_2023-06-26_final
2023-07-25 11:52:24	ga_s2am_ard_3-2-1_50KQG_2023-07-25_final
2023-07-25 11:57:19	ga_s2am_ard_3-2-1_49HGC_2023-07-25_nrt
2023-07-26 11:25:47	ga_s2am_ard_3-2-1_51JWH_2023-07-26_final
2023-10-23 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-10-23_final
2023-11-29 11:43:21	ga_s2am_ard_3-2-1_51KUS_2023-11-29_final
2023-12-10 11:15:34	ga_s2am_ard_3-2-1_51JYH_2023-12-10_final
2024-01-25 11:31:33	ga_s2am_ard_3-2-1_51LYD_2024-01-25_final
2024-02-04 11:33:37	ga_s2am_ard_3-2-1_51KWR_2024-02-04_final
2024-03-02 11:23:25	ga_s2am_ard_3-2-1_51KYS_2024-03-02_final
2024-03-04 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-04_final
2024-03-15 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2024-03-15_final
2024-04-24 11:36:22	ga_s2am_ard_3-2-1_50JQL_2024-04-24_final
2024-05-18 11:16:42	ga_s2am_ard_3-2-1_51HXD_2024-05-18_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

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