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
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KWR_2016-02-06_final.stac-item
2016-03-20 11:34:13	ga_s2am_ard_3-2-1_51KVB_2016-03-20_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JXJ_2016-04-10_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQN_2016-06-18_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KVT_2016-08-17_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVU_2016-12-22_final.stac-item
2017-02-11 10:57:10	ga_s2am_ard_3-2-1_52LGL_2017-02-11_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HWD_2017-02-17_final.stac-item
2017-04-25 11:12:56	ga_s2am_ard_3-2-1_52KBU_2017-04-25_final.stac-item
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JFN_2017-05-12_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYL_2017-06-27_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51KWA_2018-02-08_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KEA_2018-02-26_final.stac-item
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52KEB_2018-03-08_final.stac-item
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51KYT_2018-04-03_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JGR_2018-06-06_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KVT_2018-06-08_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KVS_2018-06-28_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51JWK_2018-07-05_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KUU_2018-07-08_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KXT_2018-07-25_final.stac-item
2018-07-29 11:07:13	ga_s2am_ard_3-2-1_52KEC_2018-07-29_final.stac-item
2018-10-04 10:57:12	ga_s2am_ard_3-2-1_52KDV_2018-10-04_final.stac-item
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KEA_2018-10-17_final.stac-item
2018-11-22 11:32:43	ga_s2am_ard_3-2-1_51KYU_2018-11-22_final.stac-item
2019-01-05 11:13:49	ga_s2am_ard_3-2-1_51KZQ_2019-01-05_final.stac-item
2019-01-24 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-01-24_final.stac-item
2019-02-08 10:55:39	ga_s2am_ard_3-2-1_52JGM_2019-02-08_final.stac-item
2019-02-23 11:43:25	ga_s2am_ard_3-2-1_51KUS_2019-02-23_final.stac-item
2019-03-16 11:12:25	ga_s2am_ard_3-2-1_52KFE_2019-03-16_final.stac-item
2019-04-28 11:24:47	ga_s2am_ard_3-2-1_52JBR_2019-04-28_final.stac-item
2019-05-08 11:23:14	ga_s2am_ard_3-2-1_51KYT_2019-05-08_final.stac-item
2019-05-15 11:13:17	ga_s2am_ard_3-2-1_52KEB_2019-05-15_final.stac-item
2019-05-21 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-05-21_final.stac-item
2019-08-09 11:33:46	ga_s2am_ard_3-2-1_51KWR_2019-08-09_final.stac-item
2019-08-16 11:23:24	ga_s2am_ard_3-2-1_52KBB_2019-08-16_final.stac-item
2019-08-23 11:15:24	ga_s2am_ard_3-2-1_52JBP_2019-08-23_final.stac-item
2019-09-16 10:56:03	ga_s2am_ard_3-2-1_52JEL_2019-09-16_final.stac-item
2019-10-12 11:11:37	ga_s2am_ard_3-2-1_52LEJ_2019-10-12_final.stac-item
2019-10-12 11:13:22	ga_s2am_ard_3-2-1_52KDB_2019-10-12_final.stac-item
2019-11-09 10:37:01	ga_s2am_ard_3-2-1_53HPA_2019-11-09_final.stac-item
2019-11-24 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2019-11-24_final.stac-item
2019-12-14 11:22:51	ga_s2am_ard_3-2-1_51KYU_2019-12-14_final.stac-item
2020-01-13 11:23:22	ga_s2am_ard_3-2-1_51KXS_2020-01-13_final.stac-item
2020-01-14 10:54:38	ga_s2am_ard_3-2-1_52JGR_2020-01-14_final.stac-item
2020-01-17 11:03:10	ga_s2am_ard_3-2-1_52KFB_2020-01-17_final.stac-item
2020-01-25 12:06:03	ga_s2am_ard_3-2-1_50JKM_2020-01-25_final.stac-item
2020-01-29 11:43:10	ga_s2am_ard_3-2-1_51KUT_2020-01-29_final.stac-item
2020-03-10 11:13:44	ga_s2am_ard_3-2-1_52KDV_2020-03-10_final.stac-item
2020-03-17 11:03:31	ga_s2am_ard_3-2-1_52KEA_2020-03-17_final.stac-item
2020-03-23 11:23:32	ga_s2am_ard_3-2-1_51KZR_2020-03-23_final.stac-item
2020-04-05 11:32:25	ga_s2am_ard_3-2-1_51KWA_2020-04-05_final.stac-item
2020-04-21 11:53:22	ga_s2am_ard_3-2-1_50KPC_2020-04-21_final.stac-item
2020-06-24 11:33:04	ga_s2am_ard_3-2-1_51KVU_2020-06-24_final.stac-item
2020-07-11 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-07-11_final.stac-item
2020-08-23 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-08-23_final.stac-item
2020-10-13 11:03:40	ga_s2am_ard_3-2-1_52KEA_2020-10-13_final.stac-item
2020-10-21 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-10-21_final.stac-item
2020-10-22 11:33:07	ga_s2am_ard_3-2-1_51KVU_2020-10-22_final.stac-item
2021-01-03 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-01-03_final.stac-item
2021-01-24 11:12:21	ga_s2am_ard_3-2-1_52KDF_2021-01-24_final.stac-item
2021-04-10 11:33:22	ga_s2am_ard_3-2-1_51KWS_2021-04-10_final.stac-item
2021-06-09 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-06-09_final.stac-item
2021-07-26 11:24:08	ga_s2am_ard_3-2-1_52KBU_2021-07-26_final.stac-item
2021-08-21 11:43:17	ga_s2am_ard_3-2-1_51KUT_2021-08-21_final.stac-item
2021-09-10 11:43:18	ga_s2am_ard_3-2-1_51KTT_2021-09-10_final.stac-item
2021-10-21 11:14:00	ga_s2am_ard_3-2-1_52KBV_2021-10-21_final.stac-item
2021-12-23 11:23:17	ga_s2am_ard_3-2-1_52KCB_2021-12-23_final.stac-item
2022-01-06 11:03:36	ga_s2am_ard_3-2-1_52KEA_2022-01-06_final.stac-item
2022-01-28 11:41:18	ga_s2am_ard_3-2-1_51LUF_2022-01-28_final.stac-item
2022-02-24 11:32:35	ga_s2am_ard_3-2-1_51KVA_2022-02-24_final.stac-item
2022-02-26 10:36:53	ga_s2am_ard_3-2-1_53HNB_2022-02-26_final.stac-item
2022-04-01 11:53:59	ga_s2am_ard_3-2-1_50KMA_2022-04-01_final.stac-item
2022-05-16 11:03:03	ga_s2am_ard_3-2-1_52KGC_2022-05-16_final.stac-item
2022-07-05 11:04:02	ga_s2am_ard_3-2-1_52KEV_2022-07-05_final.stac-item
2022-07-21 11:26:49	ga_s2am_ard_3-2-1_51HWD_2022-07-21_final.stac-item
2022-08-27 11:13:42	ga_s2am_ard_3-2-1_52KEA_2022-08-27_final.stac-item
2022-09-03 11:06:10	ga_s2am_ard_3-2-1_52JBM_2022-09-03_final.stac-item
2022-09-11 10:26:51	ga_s2am_ard_3-2-1_53HNC_2022-09-11_final.stac-item
2022-09-12 11:33:52	ga_s2am_ard_3-2-1_51KWR_2022-09-12_final.stac-item
2022-10-05 11:43:36	ga_s2am_ard_3-2-1_51KUS_2022-10-05_final.stac-item
2022-10-29 11:24:36	ga_s2am_ard_3-2-1_51JZM_2022-10-29_final.stac-item
2022-11-10 12:03:30	ga_s2am_ard_3-2-1_50KLC_2022-11-10_final.stac-item
2022-12-04 11:42:57	ga_s2am_ard_3-2-1_51KVU_2022-12-04_final.stac-item
2023-01-02 10:36:58	ga_s2am_ard_3-2-1_53HPA_2023-01-02_final.stac-item
2023-03-01 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-03-01_final
2023-03-09 10:55:37	ga_s2am_ard_3-2-1_52JGM_2023-03-09_final
2023-03-11 11:33:19	ga_s2am_ard_3-2-1_51KXS_2023-03-11_final
2023-03-27 11:53:49	ga_s2am_ard_3-2-1_50KMA_2023-03-27_final
2023-06-19 11:34:53	ga_s2am_ard_3-2-1_51JTM_2023-06-19_final
2023-06-22 11:42:49	ga_s2am_ard_3-2-1_51KUV_2023-06-22_final
2023-07-10 11:03:40	ga_s2am_ard_3-2-1_52KEA_2023-07-10_final
2023-07-19 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-07-19_final
2023-09-24 11:23:09	ga_s2am_ard_3-2-1_51KZT_2023-09-24_final
2023-11-21 10:45:44	ga_s2am_ard_3-2-1_52JGM_2023-11-21_final
2023-12-05 12:05:08	ga_s2am_ard_3-2-1_49JGL_2023-12-05_final
2023-12-19 11:41:55	ga_s2am_ard_3-2-1_51LVC_2023-12-19_final
2023-12-23 11:23:24	ga_s2am_ard_3-2-1_52KCA_2023-12-23_final
2024-01-12 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2024-01-12_final
2024-03-07 10:36:17	ga_s2am_ard_3-2-1_53HLE_2024-03-07_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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