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
2015-07-25 11:12:44	ga_s2am_ard_3-2-1_52KDU_2015-07-25_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JCM_2016-03-28_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52JDT_2016-05-20_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCD_2016-05-20_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2016-05-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPU_2016-07-01_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KVQ_2016-07-15_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KUT_2016-09-06_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_51JTJ_2017-03-25_final.stac-item
2017-04-01 11:28:22	ga_s2am_ard_3-2-1_51KXQ_2017-04-01_final.stac-item
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JKM_2017-04-17_final.stac-item
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-08-31_final.stac-item
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HWE_2017-11-21_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWQ_2018-02-25_final.stac-item
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51KZR_2018-04-13_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52KBD_2018-05-03_final.stac-item
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KXT_2018-05-16_final.stac-item
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_52KCC_2018-06-02_final.stac-item
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JDN_2018-07-26_final.stac-item
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KXQ_2018-08-01_final.stac-item
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52KBV_2018-08-08_final.stac-item
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_52JGL_2018-10-28_final.stac-item
2019-03-05 11:42:55	ga_s2am_ard_3-2-1_51KUU_2019-03-05_final.stac-item
2019-03-25 11:42:56	ga_s2am_ard_3-2-1_51KVU_2019-03-25_final.stac-item
2019-03-29 11:23:40	ga_s2am_ard_3-2-1_51KYR_2019-03-29_final.stac-item
2019-04-14 11:45:16	ga_s2am_ard_3-2-1_51JTK_2019-04-14_final.stac-item
2019-05-18 11:23:06	ga_s2am_ard_3-2-1_52KCC_2019-05-18_final.stac-item
2019-06-03 11:42:15	ga_s2am_ard_3-2-1_51KVB_2019-06-03_final.stac-item
2019-06-24 11:13:20	ga_s2am_ard_3-2-1_52KDB_2019-06-24_final.stac-item
2019-07-10 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2019-07-10_final.stac-item
2019-07-26 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-26_final.stac-item
2019-07-27 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2019-07-27_final.stac-item
2019-07-30 11:33:08	ga_s2am_ard_3-2-1_51KWT_2019-07-30_final.stac-item
2019-08-06 11:23:47	ga_s2am_ard_3-2-1_51KXR_2019-08-06_final.stac-item
2019-08-29 11:33:23	ga_s2am_ard_3-2-1_51KUT_2019-08-29_final.stac-item
2019-09-05 11:23:21	ga_s2am_ard_3-2-1_51KZS_2019-09-05_final.stac-item
2019-09-15 11:26:57	ga_s2am_ard_3-2-1_51HVC_2019-09-15_final.stac-item
2019-11-20 11:44:17	ga_s2am_ard_3-2-1_50KRU_2019-11-20_final.stac-item
2019-12-20 11:42:03	ga_s2am_ard_3-2-1_51KWB_2019-12-20_final.stac-item
2020-01-10 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-01-10_final.stac-item
2020-03-23 11:23:17	ga_s2am_ard_3-2-1_51KZS_2020-03-23_final.stac-item
2020-04-02 11:22:08	ga_s2am_ard_3-2-1_51KYB_2020-04-02_final.stac-item
2020-06-28 11:13:27	ga_s2am_ard_3-2-1_52KCB_2020-06-28_final.stac-item
2020-07-21 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-07-21_final.stac-item
2020-08-13 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-08-13_final.stac-item
2020-08-17 11:13:21	ga_s2am_ard_3-2-1_52KDB_2020-08-17_final.stac-item
2020-08-30 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2020-08-30_final.stac-item
2020-09-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-09-28_final.stac-item
2020-11-15 11:13:37	ga_s2am_ard_3-2-1_52KDA_2020-11-15_final.stac-item
2020-11-15 11:15:57	ga_s2am_ard_3-2-1_51JYG_2020-11-15_final.stac-item
2020-12-11 11:36:20	ga_s2am_ard_3-2-1_51HVE_2020-12-11_final.stac-item
2021-01-04 11:13:19	ga_s2am_ard_3-2-1_52KDB_2021-01-04_final.stac-item
2021-02-06 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2021-02-06_final.stac-item
2021-03-08 11:23:10	ga_s2am_ard_3-2-1_51KYT_2021-03-08_final.stac-item
2021-05-30 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-05-30_final.stac-item
2021-06-02 11:44:11	ga_s2am_ard_3-2-1_50KPV_2021-06-02_final.stac-item
2021-06-09 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-06-09_final.stac-item
2021-06-19 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-06-19_final.stac-item
2021-07-02 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2021-07-02_final.stac-item
2021-07-22 11:43:00	ga_s2am_ard_3-2-1_51KVU_2021-07-22_final.stac-item
2021-08-28 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2021-08-28_final.stac-item
2021-09-17 11:33:40	ga_s2am_ard_3-2-1_51KWR_2021-09-17_final.stac-item
2021-11-10 11:15:35	ga_s2am_ard_3-2-1_52JCN_2021-11-10_final.stac-item
2021-11-20 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-11-20_final.stac-item
2021-11-23 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-11-23_final.stac-item
2021-12-03 11:22:37	ga_s2am_ard_3-2-1_51KZV_2021-12-03_final.stac-item
2021-12-19 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-12-19_final.stac-item
2021-12-29 11:43:24	ga_s2am_ard_3-2-1_51KTT_2021-12-29_final.stac-item
2022-01-12 11:23:44	ga_s2am_ard_3-2-1_51KXR_2022-01-12_final.stac-item
2022-01-15 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-01-15_final.stac-item
2022-01-28 11:43:11	ga_s2am_ard_3-2-1_51KVT_2022-01-28_final.stac-item
2022-02-04 11:32:19	ga_s2am_ard_3-2-1_51KVB_2022-02-04_final.stac-item
2022-04-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-01_final.stac-item
2022-04-12 11:23:21	ga_s2am_ard_3-2-1_52KBB_2022-04-12_final.stac-item
2022-04-22 11:23:40	ga_s2am_ard_3-2-1_51KZR_2022-04-22_final.stac-item
2022-04-28 11:43:56	ga_s2am_ard_3-2-1_50KQA_2022-04-28_final.stac-item
2022-04-28 11:44:32	ga_s2am_ard_3-2-1_51JUN_2022-04-28_final.stac-item
2022-05-01 11:53:41	ga_s2am_ard_3-2-1_50KPB_2022-05-01_final.stac-item
2022-05-12 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2022-05-12_final.stac-item
2022-05-25 11:32:54	ga_s2am_ard_3-2-1_51KVV_2022-05-25_final.stac-item
2022-10-18 11:55:49	ga_s2am_ard_3-2-1_50JKP_2022-10-18_final.stac-item
2022-11-09 10:56:08	ga_s2am_ard_3-2-1_52JEL_2022-11-09_final.stac-item
2022-11-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-11-14_final.stac-item
2022-12-01 11:33:09	ga_s2am_ard_3-2-1_51KXT_2022-12-01_final.stac-item
2022-12-24 11:41:57	ga_s2am_ard_3-2-1_51LVC_2022-12-24_final.stac-item
2023-01-20 11:33:40	ga_s2am_ard_3-2-1_51KVR_2023-01-20_final.stac-item
2023-02-13 11:13:28	ga_s2am_ard_3-2-1_52KEA_2023-02-13_final
2023-03-01 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-03-01_final
2023-03-31 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-03-31_final
2023-06-02 11:41:59	ga_s2am_ard_3-2-1_51LWC_2023-06-02_final
2023-07-13 11:16:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-13_nrt
2023-08-21 11:43:35	ga_s2am_ard_3-2-1_51KUS_2023-08-21_final
2023-09-07 11:33:03	ga_s2am_ard_3-2-1_51KWU_2023-09-07_final
2023-11-03 11:23:48	ga_s2am_ard_3-2-1_51KZQ_2023-11-03_final
2023-11-20 11:13:36	ga_s2am_ard_3-2-1_52KBA_2023-11-20_final
2024-01-05 11:36:10	ga_s2am_ard_3-2-1_51JUF_2024-01-05_final
2024-01-15 11:33:56	ga_s2am_ard_3-2-1_51KUQ_2024-01-15_final
2024-01-21 11:57:04	ga_s2am_ard_3-2-1_50HKH_2024-01-21_final
2024-02-14 11:33:25	ga_s2am_ard_3-2-1_51KWS_2024-02-14_final
2024-04-24 11:34:38	ga_s2am_ard_3-2-1_51JTN_2024-04-24_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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