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_51JWM_2015-11-25_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JML_2016-04-19_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_52KBC_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KXQ_2016-06-05_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPC_2016-07-01_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBC_2016-07-02_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KBD_2016-07-02_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HQK_2016-09-13_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JEM_2016-09-14_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51LVC_2016-11-15_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JDS_2016-12-06_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JDS_2016-12-26_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JKM_2016-12-28_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWN_2017-01-08_final.stac-item
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JFL_2017-01-09_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQJ_2017-01-31_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-02-09_final.stac-item
2017-04-09 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-04-09_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51KYP_2017-06-27_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JUH_2017-08-19_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KLV_2017-09-07_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JXJ_2017-10-05_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HXD_2017-12-04_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JXH_2017-12-04_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYM_2017-12-31_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50KRU_2018-02-28_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HYD_2018-05-20_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JGR_2018-08-02_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JUH_2018-08-04_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPL_2018-08-07_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HUC_2018-09-13_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUV_2018-10-26_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPH_2018-11-05_final.stac-item
2018-11-26 11:15:57	ga_s2am_ard_3-2-1_52JBL_2018-11-26_final.stac-item
2019-01-17 11:53:49	ga_s2am_ard_3-2-1_50KNA_2019-01-17_final.stac-item
2019-01-28 11:21:22	ga_s2am_ard_3-2-1_51LZE_2019-01-28_final.stac-item
2019-01-31 11:31:53	ga_s2am_ard_3-2-1_51LXC_2019-01-31_final.stac-item
2019-03-02 11:34:32	ga_s2am_ard_3-2-1_50JRT_2019-03-02_final.stac-item
2019-03-25 11:44:26	ga_s2am_ard_3-2-1_51JUN_2019-03-25_final.stac-item
2019-04-25 11:15:51	ga_s2am_ard_3-2-1_52JCM_2019-04-25_final.stac-item
2019-05-27 11:55:09	ga_s2am_ard_3-2-1_50JNR_2019-05-27_final.stac-item
2019-05-29 10:56:07	ga_s2am_ard_3-2-1_52JEL_2019-05-29_final.stac-item
2019-06-10 11:36:22	ga_s2am_ard_3-2-1_50JQL_2019-06-10_final.stac-item
2019-06-26 11:55:57	ga_s2am_ard_3-2-1_50JMN_2019-06-26_final.stac-item
2019-11-07 11:37:00	ga_s2am_ard_3-2-1_51HUC_2019-11-07_final.stac-item
2019-12-30 11:42:37	ga_s2am_ard_3-2-1_51KVV_2019-12-30_final.stac-item
2020-01-04 10:54:24	ga_s2am_ard_3-2-1_52JGS_2020-01-04_final.stac-item
2020-01-16 11:33:10	ga_s2am_ard_3-2-1_51KVT_2020-01-16_final.stac-item
2020-01-22 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-01-22_final.stac-item
2020-03-03 11:26:57	ga_s2am_ard_3-2-1_51HUC_2020-03-03_final.stac-item
2020-03-06 11:32:58	ga_s2am_ard_3-2-1_51KXT_2020-03-06_final.stac-item
2020-03-23 11:26:22	ga_s2am_ard_3-2-1_51HWE_2020-03-23_final.stac-item
2020-04-16 11:05:59	ga_s2am_ard_3-2-1_52JEL_2020-04-16_final.stac-item
2020-04-30 10:46:03	ga_s2am_ard_3-2-1_52JGL_2020-04-30_final.stac-item
2020-05-24 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-05-24_final.stac-item
2020-05-29 11:14:29	ga_s2am_ard_3-2-1_52JBT_2020-05-29_final.stac-item
2020-08-16 11:43:41	ga_s2am_ard_3-2-1_51KVR_2020-08-16_final.stac-item
2020-11-11 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-11-11_final.stac-item
2020-11-14 11:45:57	ga_s2am_ard_3-2-1_50JNN_2020-11-14_final.stac-item
2021-01-07 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-01-07_final.stac-item
2021-02-18 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-02-18_final.stac-item
2021-03-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-03-01_final.stac-item
2021-03-21 11:32:57	ga_s2am_ard_3-2-1_51KWU_2021-03-21_final.stac-item
2021-04-03 11:41:55	ga_s2am_ard_3-2-1_51LVC_2021-04-03_final.stac-item
2021-04-30 11:35:34	ga_s2am_ard_3-2-1_50JQP_2021-04-30_final.stac-item
2021-06-03 11:14:30	ga_s2am_ard_3-2-1_51JYN_2021-06-03_final.stac-item
2021-07-02 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-07-02_final.stac-item
2021-07-19 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-07-19_final.stac-item
2021-07-19 11:34:52	ga_s2am_ard_3-2-1_50JRS_2021-07-19_final.stac-item
2021-08-08 11:35:11	ga_s2am_ard_3-2-1_51JWK_2021-08-08_final.stac-item
2021-09-04 11:24:09	ga_s2am_ard_3-2-1_51KYP_2021-09-04_final.stac-item
2021-11-06 11:34:53	ga_s2am_ard_3-2-1_50JRS_2021-11-06_final.stac-item
2022-02-01 11:23:28	ga_s2am_ard_3-2-1_51KXS_2022-02-01_final.stac-item
2022-03-07 11:06:14	ga_s2am_ard_3-2-1_52JBL_2022-03-07_final.stac-item
2022-04-28 11:44:10	ga_s2am_ard_3-2-1_50KQV_2022-04-28_final.stac-item
2022-05-31 11:54:30	ga_s2am_ard_3-2-1_50KNU_2022-05-31_final.stac-item
2022-05-31 11:55:14	ga_s2am_ard_3-2-1_50JNR_2022-05-31_final.stac-item
2022-06-01 11:22:56	ga_s2am_ard_3-2-1_52KCD_2022-06-01_final.stac-item
2022-06-01 11:23:08	ga_s2am_ard_3-2-1_51KXU_2022-06-01_final.stac-item
2022-06-11 11:24:21	ga_s2am_ard_3-2-1_51KXP_2022-06-11_final.stac-item
2022-07-10 11:55:37	ga_s2am_ard_3-2-1_50JMQ_2022-07-10_final.stac-item
2022-07-17 11:47:14	ga_s2am_ard_3-2-1_50HPH_2022-07-17_final.stac-item
2022-07-17 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-07-17_final.stac-item
2022-07-21 11:25:50	ga_s2am_ard_3-2-1_51JXH_2022-07-21_final.stac-item
2022-07-31 11:23:17	ga_s2am_ard_3-2-1_51KZT_2022-07-31_final.stac-item
2022-08-06 11:46:59	ga_s2am_ard_3-2-1_50HPJ_2022-08-06_final.stac-item
2022-09-05 11:45:41	ga_s2am_ard_3-2-1_51JTJ_2022-09-05_final.stac-item
2022-09-06 11:15:07	ga_s2am_ard_3-2-1_51JYL_2022-09-06_final.stac-item
2022-10-08 13:31:46	ga_s2am_ard_3-2-1_46LHM_2022-10-08_interim
2023-01-03 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-01-03_final.stac-item
2023-01-04 11:12:52	ga_s2am_ard_3-2-1_52KCD_2023-01-04_final.stac-item
2023-01-07 11:21:42	ga_s2am_ard_3-2-1_51LZD_2023-01-07_final.stac-item
2023-03-31 11:36:15	ga_s2am_ard_3-2-1_51JTF_2023-03-31_final
2023-06-03 11:15:55	ga_s2am_ard_3-2-1_52JBM_2023-06-03_final
2023-06-08 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-06-08_final
2023-07-19 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-07-19_final
2023-08-07 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-08-07_final
2024-03-08 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2024-03-08_final
2024-03-12 11:26:11	ga_s2am_ard_3-2-1_51JVF_2024-03-12_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

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