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
2015-11-22 11:12:12	ga_s2am_ard_3-2-1_51KZQ_2015-11-22_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVU_2016-05-09_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52KBV_2016-07-09_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JHT_2016-08-12_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQH_2016-10-03_final.stac-item
2016-12-10 10:47:57	ga_s2am_ard_3-2-1_52JFP_2016-12-10_final.stac-item
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_52KGG_2017-01-02_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KFC_2017-02-04_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JLM_2017-02-09_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JMS_2017-03-01_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KUR_2017-03-05_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51KZT_2017-05-18_final.stac-item
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KUV_2017-05-24_final.stac-item
2017-06-07 11:19:47	ga_s2am_ard_3-2-1_51KZR_2017-06-07_final.stac-item
2017-07-03 11:37:51	ga_s2am_ard_3-2-1_51KVA_2017-07-03_final.stac-item
2017-08-06 11:17:01	ga_s2am_ard_3-2-1_51LZE_2017-08-06_final.stac-item
2017-11-18 11:02:08	ga_s2am_ard_3-2-1_52KEA_2017-11-18_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXV_2017-12-17_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KXT_2018-03-07_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KVA_2018-03-20_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KWQ_2018-03-27_final.stac-item
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KZR_2018-05-03_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52JCL_2018-05-20_final.stac-item
2018-06-05 11:26:21	ga_s2am_ard_3-2-1_51LXD_2018-06-05_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KUU_2018-06-08_final.stac-item
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KEC_2018-06-26_final.stac-item
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KVU_2018-07-05_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KVA_2018-07-08_final.stac-item
2018-07-25 11:26:21	ga_s2am_ard_3-2-1_51KWU_2018-07-25_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KZA_2018-08-21_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KWA_2018-10-26_final.stac-item
2018-11-10 10:53:52	ga_s2am_ard_3-2-1_52KHU_2018-11-10_final.stac-item
2019-01-01 11:33:36	ga_s2am_ard_3-2-1_51KWR_2019-01-01_final.stac-item
2019-03-15 11:42:38	ga_s2am_ard_3-2-1_51KVV_2019-03-15_final.stac-item
2019-03-15 11:42:42	ga_s2am_ard_3-2-1_51KUV_2019-03-15_final.stac-item
2019-05-28 11:26:57	ga_s2am_ard_3-2-1_51HVC_2019-05-28_final.stac-item
2019-07-03 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-03_final.stac-item
2019-09-06 10:52:59	ga_s2am_ard_3-2-1_52KHC_2019-09-06_final.stac-item
2019-09-12 11:13:17	ga_s2am_ard_3-2-1_52KDB_2019-09-12_final.stac-item
2019-09-25 11:26:48	ga_s2am_ard_3-2-1_51HUD_2019-09-25_final.stac-item
2020-01-20 11:12:11	ga_s2am_ard_3-2-1_52KEF_2020-01-20_final.stac-item
2020-01-23 11:23:28	ga_s2am_ard_3-2-1_52KBA_2020-01-23_final.stac-item
2020-01-26 11:33:16	ga_s2am_ard_3-2-1_51KUT_2020-01-26_final.stac-item
2020-02-03 10:54:07	ga_s2am_ard_3-2-1_52JGT_2020-02-03_final.stac-item
2020-02-09 11:13:26	ga_s2am_ard_3-2-1_52KDA_2020-02-09_final.stac-item
2020-02-13 10:55:35	ga_s2am_ard_3-2-1_52JGM_2020-02-13_final.stac-item
2020-03-07 11:03:16	ga_s2am_ard_3-2-1_52KEB_2020-03-07_final.stac-item
2020-04-18 11:47:02	ga_s2am_ard_3-2-1_50HPH_2020-04-18_final.stac-item
2020-04-19 11:13:34	ga_s2am_ard_3-2-1_52KDA_2020-04-19_final.stac-item
2020-04-24 12:04:15	ga_s2am_ard_3-2-1_50KKV_2020-04-24_final.stac-item
2020-05-14 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-05-14_final.stac-item
2020-05-25 11:33:10	ga_s2am_ard_3-2-1_51KWT_2020-05-25_final.stac-item
2020-07-11 11:23:54	ga_s2am_ard_3-2-1_52KBV_2020-07-11_final.stac-item
2020-07-23 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-07-23_final.stac-item
2020-08-06 11:43:24	ga_s2am_ard_3-2-1_51KTT_2020-08-06_final.stac-item
2020-08-17 11:14:15	ga_s2am_ard_3-2-1_52KBU_2020-08-17_final.stac-item
2020-09-06 11:15:47	ga_s2am_ard_3-2-1_51JXH_2020-09-06_final.stac-item
2020-09-09 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-09-09_final.stac-item
2020-09-15 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-09-15_final.stac-item
2020-10-01 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-01_final.stac-item
2021-02-06 11:23:34	ga_s2am_ard_3-2-1_52KBA_2021-02-06_final.stac-item
2021-02-27 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-02-27_final.stac-item
2021-04-17 11:26:01	ga_s2am_ard_3-2-1_51JXF_2021-04-17_final.stac-item
2021-05-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-05-26_final.stac-item
2021-05-29 12:04:29	ga_s2am_ard_3-2-1_50KKU_2021-05-29_final.stac-item
2021-07-06 11:22:25	ga_s2am_ard_3-2-1_52KBF_2021-07-06_final.stac-item
2021-07-29 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-29_final.stac-item
2021-09-03 11:56:06	ga_s2am_ard_3-2-1_50JMM_2021-09-03_final.stac-item
2021-09-17 11:36:48	ga_s2am_ard_3-2-1_51HTD_2021-09-17_final.stac-item
2021-09-28 11:03:38	ga_s2am_ard_3-2-1_52KEA_2021-09-28_final.stac-item
2021-10-10 11:43:24	ga_s2am_ard_3-2-1_50KRC_2021-10-10_final.stac-item
2021-11-15 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-11-15_final.stac-item
2021-11-23 11:25:10	ga_s2am_ard_3-2-1_51JXK_2021-11-23_final.stac-item
2022-02-21 11:22:54	ga_s2am_ard_3-2-1_51KZU_2022-02-21_final.stac-item
2022-02-27 11:42:34	ga_s2am_ard_3-2-1_51KUA_2022-02-27_final.stac-item
2022-05-02 11:23:30	ga_s2am_ard_3-2-1_52KBB_2022-05-02_final.stac-item
2022-05-15 11:33:38	ga_s2am_ard_3-2-1_51KUS_2022-05-15_final.stac-item
2022-05-26 11:05:30	ga_s2am_ard_3-2-1_52JCP_2022-05-26_final.stac-item
2022-07-04 11:36:33	ga_s2am_ard_3-2-1_50JQL_2022-07-04_final.stac-item
2022-07-14 11:31:30	ga_s2am_ard_3-2-1_52LBK_2022-07-14_final.stac-item
2022-07-20 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-07-20_final.stac-item
2022-11-25 11:12:52	ga_s2am_ard_3-2-1_52KCD_2022-11-25_final.stac-item
2023-01-07 11:23:48	ga_s2am_ard_3-2-1_51KZQ_2023-01-07_final.stac-item
2023-01-14 11:12:32	ga_s2am_ard_3-2-1_52KDE_2023-01-14_final.stac-item
2023-03-30 12:04:19	ga_s2am_ard_3-2-1_50KMU_2023-03-30_final
2023-05-06 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-05-06_final
2023-06-22 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-06-22_final
2023-07-31 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-07-31_final
2023-08-28 11:32:46	ga_s2am_ard_3-2-1_51KXV_2023-08-28_final
2023-09-18 11:02:21	ga_s2am_ard_3-2-1_52KFF_2023-09-18_final
2023-11-10 11:13:36	ga_s2am_ard_3-2-1_52KCA_2023-11-10_final
2023-12-06 11:32:22	ga_s2am_ard_3-2-1_51KWA_2023-12-06_final
2024-01-07 12:14:27	ga_s2am_ard_3-2-1_49KFP_2024-01-07_nrt
2024-01-19 11:12:44	ga_s2am_ard_3-2-1_52KCD_2024-01-19_final
2024-01-24 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-24_final
2024-02-12 10:53:54	ga_s2am_ard_3-2-1_52KHU_2024-02-12_final
2024-02-14 11:32:44	ga_s2am_ard_3-2-1_51KVV_2024-02-14_final
2024-02-24 11:31:56	ga_s2am_ard_3-2-1_51LXC_2024-02-24_final
2024-03-04 12:06:04	ga_s2am_ard_3-2-1_50JLM_2024-03-04_final
2024-03-24 12:04:00	ga_s2am_ard_3-2-1_50KKA_2024-03-24_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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