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_51JXK_2015-11-25_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HPJ_2015-12-08_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2016-05-25_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JLS_2016-05-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KWV_2016-06-25_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52KDV_2016-07-09_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQK_2016-07-28_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KGA_2016-09-14_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKT_2016-09-22_final.stac-item
2016-10-11 10:55:27	ga_s2am_ard_3-2-1_52JGM_2016-10-11_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYS_2016-12-09_final.stac-item
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KGD_2017-01-02_final.stac-item
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52HBK_2017-02-11_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50KRD_2017-03-05_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HVC_2017-03-19_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JML_2017-08-12_final.stac-item
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52KEV_2017-09-09_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JVF_2017-09-15_final.stac-item
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_51KYT_2017-10-18_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JBL_2017-11-08_final.stac-item
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HVD_2017-11-14_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51KYB_2017-12-04_final.stac-item
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52JFM_2018-02-03_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HYE_2018-02-19_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KVT_2018-03-07_final.stac-item
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KXS_2018-03-24_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50KKU_2018-03-26_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HUD_2018-04-13_final.stac-item
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52KHC_2018-05-27_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KUS_2018-08-24_final.stac-item
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_52KBU_2018-09-17_final.stac-item
2018-10-01 10:47:21	ga_s2am_ard_3-2-1_52JGS_2018-10-01_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KVT_2018-11-05_final.stac-item
2018-12-09 11:26:53	ga_s2am_ard_3-2-1_51HUC_2018-12-09_final.stac-item
2019-01-01 11:32:40	ga_s2am_ard_3-2-1_51KVV_2019-01-01_final.stac-item
2019-02-07 11:26:55	ga_s2am_ard_3-2-1_51HVC_2019-02-07_final.stac-item
2019-03-02 11:33:47	ga_s2am_ard_3-2-1_51KXQ_2019-03-02_final.stac-item
2019-03-15 11:45:40	ga_s2am_ard_3-2-1_51JTH_2019-03-15_final.stac-item
2019-04-11 11:36:45	ga_s2am_ard_3-2-1_51HUD_2019-04-11_final.stac-item
2019-04-28 11:22:04	ga_s2am_ard_3-2-1_52KDG_2019-04-28_final.stac-item
2019-06-24 11:15:26	ga_s2am_ard_3-2-1_52JBP_2019-06-24_final.stac-item
2019-06-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-06-29_final.stac-item
2019-07-30 11:32:24	ga_s2am_ard_3-2-1_51KVB_2019-07-30_final.stac-item
2019-08-05 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2019-08-05_final.stac-item
2019-08-23 11:14:31	ga_s2am_ard_3-2-1_51JYN_2019-08-23_final.stac-item
2019-11-18 11:02:56	ga_s2am_ard_3-2-1_52KHC_2019-11-18_final.stac-item
2019-12-10 11:43:21	ga_s2am_ard_3-2-1_51KVS_2019-12-10_final.stac-item
2020-01-10 11:15:24	ga_s2am_ard_3-2-1_51JXJ_2020-01-10_final.stac-item
2020-02-29 11:14:04	ga_s2am_ard_3-2-1_51KZP_2020-02-29_final.stac-item
2020-04-22 11:24:16	ga_s2am_ard_3-2-1_51KWP_2020-04-22_final.stac-item
2020-05-08 11:46:19	ga_s2am_ard_3-2-1_50JQL_2020-05-08_final.stac-item
2020-05-26 11:02:53	ga_s2am_ard_3-2-1_52KFD_2020-05-26_final.stac-item
2020-08-06 11:46:12	ga_s2am_ard_3-2-1_50JPM_2020-08-06_final.stac-item
2020-08-17 11:13:23	ga_s2am_ard_3-2-1_52KCB_2020-08-17_final.stac-item
2020-09-01 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-09-01_final.stac-item
2020-09-11 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-09-11_final.stac-item
2020-10-19 11:23:22	ga_s2am_ard_3-2-1_52KCB_2020-10-19_final.stac-item
2020-10-21 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-10-21_final.stac-item
2020-10-22 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-10-22_final.stac-item
2020-11-02 11:04:26	ga_s2am_ard_3-2-1_52JDT_2020-11-02_final.stac-item
2020-12-22 11:03:52	ga_s2am_ard_3-2-1_52KDV_2020-12-22_final.stac-item
2021-01-17 11:23:36	ga_s2am_ard_3-2-1_51KZR_2021-01-17_final.stac-item
2021-02-03 11:13:39	ga_s2am_ard_3-2-1_52KBA_2021-02-03_final.stac-item
2021-03-02 11:05:08	ga_s2am_ard_3-2-1_52JCQ_2021-03-02_final.stac-item
2021-03-15 11:12:28	ga_s2am_ard_3-2-1_52KFE_2021-03-15_final.stac-item
2021-03-23 12:13:57	ga_s2am_ard_3-2-1_49KGR_2021-03-23_final.stac-item
2021-05-04 11:15:35	ga_s2am_ard_3-2-1_52JBN_2021-05-04_final.stac-item
2021-05-10 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2021-05-10_final.stac-item
2021-05-24 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2021-05-24_final.stac-item
2021-05-31 11:03:50	ga_s2am_ard_3-2-1_52KEV_2021-05-31_final.stac-item
2021-07-09 11:37:14	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final.stac-item
2021-07-22 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2021-07-22_final.stac-item
2021-07-30 11:03:20	ga_s2am_ard_3-2-1_52KFB_2021-07-30_final.stac-item
2021-08-21 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-08-21_final.stac-item
2021-09-17 11:32:48	ga_s2am_ard_3-2-1_51KVV_2021-09-17_final.stac-item
2022-02-02 10:54:47	ga_s2am_ard_3-2-1_52JFR_2022-02-02_final.stac-item
2022-02-27 11:42:12	ga_s2am_ard_3-2-1_51KWB_2022-02-27_final.stac-item
2022-04-01 11:54:28	ga_s2am_ard_3-2-1_50KMU_2022-04-01_final.stac-item
2022-07-15 11:03:47	ga_s2am_ard_3-2-1_52KEA_2022-07-15_final.stac-item
2022-08-23 11:33:15	ga_s2am_ard_3-2-1_51KYT_2022-08-23_final.stac-item
2022-09-23 11:03:05	ga_s2am_ard_3-2-1_52KGC_2022-09-23_final.stac-item
2022-09-25 11:43:10	ga_s2am_ard_3-2-1_51KTU_2022-09-25_final.stac-item
2022-11-21 11:31:36	ga_s2am_ard_3-2-1_51LZD_2022-11-21_final.stac-item
2022-12-22 11:04:59	ga_s2am_ard_3-2-1_52JEQ_2022-12-22_final.stac-item
2023-02-06 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2023-02-06_final
2023-04-13 11:44:02	ga_s2am_ard_3-2-1_51KTQ_2023-04-13_final
2023-05-23 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2023-05-23_final
2023-07-12 11:45:52	ga_s2am_ard_3-2-1_50JQN_2023-07-12_final
2023-07-18 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-07-18_final
2023-07-25 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-07-25_final
2023-08-18 11:33:28	ga_s2am_ard_3-2-1_51KUT_2023-08-18_final
2023-09-03 11:56:05	ga_s2am_ard_3-2-1_50JKN_2023-09-03_final
2023-09-21 11:15:20	ga_s2am_ard_3-2-1_52JCP_2023-09-21_final
2023-10-21 11:12:17	ga_s2am_ard_3-2-1_52KFF_2023-10-21_final
2023-11-03 11:23:05	ga_s2am_ard_3-2-1_51KZT_2023-11-03_final
2023-11-23 11:24:10	ga_s2am_ard_3-2-1_51KWP_2023-11-23_final
2024-01-23 10:53:34	ga_s2am_ard_3-2-1_52KGV_2024-01-23_final
2024-03-06 11:02:37	ga_s2am_ard_3-2-1_52KGD_2024-03-06_final
2024-04-10 11:54:23	ga_s2am_ard_3-2-1_50KNU_2024-04-10_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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