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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-09-11_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LZC_2016-02-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLH_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLR_2016-05-15_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KDU_2016-05-20_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPH_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVQ_2016-06-05_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JCL_2016-06-06_final.stac-item
2016-07-03 10:48:21	ga_s2am_ard_3-2-1_52KHU_2016-07-03_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KYV_2016-12-22_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KCE_2017-01-25_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KXP_2017-09-08_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KXV_2017-09-08_final.stac-item
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JFN_2017-10-06_final.stac-item
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LXD_2017-11-07_final.stac-item
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JFR_2017-11-08_final.stac-item
2017-12-31 11:07:06	ga_s2am_ard_3-2-1_52KDG_2017-12-31_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_52LBJ_2018-01-26_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KYA_2018-02-25_final.stac-item
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_52HBK_2018-04-10_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQH_2018-05-16_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQU_2018-06-08_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JMM_2018-06-18_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLM_2018-07-11_final.stac-item
2018-08-09 10:37:27	ga_s2am_ard_3-2-1_53HME_2018-08-09_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JDL_2018-11-03_final.stac-item
2019-01-03 12:14:50	ga_s2am_ard_3-2-1_49JGM_2019-01-03_final.stac-item
2019-03-16 11:13:01	ga_s2am_ard_3-2-1_52KDC_2019-03-16_final.stac-item
2019-03-22 11:31:58	ga_s2am_ard_3-2-1_51LWC_2019-03-22_final.stac-item
2019-03-25 11:42:41	ga_s2am_ard_3-2-1_51KVV_2019-03-25_final.stac-item
2019-06-06 11:56:27	ga_s2am_ard_3-2-1_50JLL_2019-06-06_final.stac-item
2019-06-16 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-06-16_final.stac-item
2019-06-17 11:24:59	ga_s2am_ard_3-2-1_51JXL_2019-06-17_final.stac-item
2019-06-19 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-06-19_final.stac-item
2019-06-29 12:04:44	ga_s2am_ard_3-2-1_50JLT_2019-06-29_final.stac-item
2019-07-27 11:23:15	ga_s2am_ard_3-2-1_51KYT_2019-07-27_final.stac-item
2019-08-09 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-08-09_final.stac-item
2019-09-15 11:26:46	ga_s2am_ard_3-2-1_51HUD_2019-09-15_final.stac-item
2019-11-01 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2019-11-01_final.stac-item
2020-02-02 11:22:44	ga_s2am_ard_3-2-1_52KBD_2020-02-02_final.stac-item
2020-02-05 11:31:59	ga_s2am_ard_3-2-1_51KYB_2020-02-05_final.stac-item
2020-02-11 11:55:42	ga_s2am_ard_3-2-1_50JNN_2020-02-11_final.stac-item
2020-02-24 12:03:53	ga_s2am_ard_3-2-1_50KKA_2020-02-24_final.stac-item
2020-03-03 11:23:09	ga_s2am_ard_3-2-1_51KXT_2020-03-03_final.stac-item
2020-06-03 12:04:49	ga_s2am_ard_3-2-1_49JHN_2020-06-03_final.stac-item
2020-07-14 11:36:47	ga_s2am_ard_3-2-1_51HUD_2020-07-14_final.stac-item
2020-07-24 11:33:09	ga_s2am_ard_3-2-1_51KWU_2020-07-24_final.stac-item
2020-08-03 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-08-03_final.stac-item
2020-10-25 11:41:24	ga_s2am_ard_3-2-1_51LUF_2020-10-25_final.stac-item
2020-10-31 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-31_final.stac-item
2020-11-25 11:13:23	ga_s2am_ard_3-2-1_52KCB_2020-11-25_final.stac-item
2020-12-22 11:01:13	ga_s2am_ard_3-2-1_52LHK_2020-12-22_final.stac-item
2020-12-25 11:12:16	ga_s2am_ard_3-2-1_52KEF_2020-12-25_final.stac-item
2021-01-04 11:13:31	ga_s2am_ard_3-2-1_52KEA_2021-01-04_final.stac-item
2021-01-13 11:41:56	ga_s2am_ard_3-2-1_51LWC_2021-01-13_final.stac-item
2021-01-14 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-01-14_final.stac-item
2021-01-20 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2021-01-20_final.stac-item
2021-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2021-03-20_final.stac-item
2021-04-14 11:10:56	ga_s2am_ard_3-2-1_52LFL_2021-04-14_final.stac-item
2021-04-21 11:00:40	ga_s2am_ard_3-2-1_52LHM_2021-04-21_final.stac-item
2021-05-27 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-05-27_final.stac-item
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final.stac-item
2021-06-22 11:41:56	ga_s2am_ard_3-2-1_51LWC_2021-06-22_final.stac-item
2021-08-01 11:46:44	ga_s2am_ard_3-2-1_50HMK_2021-08-01_final.stac-item
2021-08-03 10:46:24	ga_s2am_ard_3-2-1_53HMD_2021-08-03_final.stac-item
2021-09-26 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2021-09-26_final.stac-item
2021-11-30 11:13:33	ga_s2am_ard_3-2-1_52KDA_2021-11-30_final.stac-item
2022-01-22 11:24:15	ga_s2am_ard_3-2-1_51KWP_2022-01-22_final.stac-item
2022-01-26 11:01:22	ga_s2am_ard_3-2-1_52LGK_2022-01-26_final.stac-item
2022-02-17 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-02-17_final.stac-item
2022-03-02 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-03-02_final.stac-item
2022-03-19 11:46:23	ga_s2am_ard_3-2-1_50JPL_2022-03-19_final.stac-item
2022-03-30 11:13:32	ga_s2am_ard_3-2-1_52KEA_2022-03-30_final.stac-item
2022-05-18 11:43:30	ga_s2am_ard_3-2-1_51KVS_2022-05-18_final.stac-item
2022-05-29 11:15:44	ga_s2am_ard_3-2-1_52JBN_2022-05-29_final.stac-item
2022-06-04 11:33:06	ga_s2am_ard_3-2-1_51KWU_2022-06-04_final.stac-item
2022-06-18 11:14:35	ga_s2am_ard_3-2-1_52JBT_2022-06-18_final.stac-item
2022-07-21 11:26:55	ga_s2am_ard_3-2-1_51HWD_2022-07-21_final.stac-item
2022-08-16 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-08-16_final.stac-item
2022-10-28 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-10-28_final.stac-item
2022-11-22 11:04:07	ga_s2am_ard_3-2-1_52KDU_2022-11-22_final.stac-item
2023-02-10 11:01:49	ga_s2am_ard_3-2-1_52LFH_2023-02-10_final.stac-item
2023-02-10 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-02-10_final.stac-item
2023-03-02 11:00:56	ga_s2am_ard_3-2-1_52LHL_2023-03-02_final
2023-04-01 11:05:07	ga_s2am_ard_3-2-1_52JCQ_2023-04-01_final
2023-04-14 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-04-14_final
2023-04-26 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-04-26_final
2023-05-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-05-02_final
2023-06-20 11:03:21	ga_s2am_ard_3-2-1_52KFB_2023-06-20_final
2023-07-13 11:15:27	ga_s2am_ard_3-2-1_52JBP_2023-07-13_final
2023-08-25 11:23:31	ga_s2am_ard_3-2-1_51KYS_2023-08-25_final
2023-11-10 11:11:26	ga_s2am_ard_3-2-1_52LGJ_2023-11-10_final
2023-11-19 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-11-19_final
2023-11-26 11:33:28	ga_s2am_ard_3-2-1_51KUS_2023-11-26_final
2024-01-19 11:10:28	ga_s2am_ard_3-2-1_52LHM_2024-01-19_final
2024-01-22 11:22:00	ga_s2am_ard_3-2-1_52KBG_2024-01-22_final
2024-02-04 11:32:54	ga_s2am_ard_3-2-1_51KWU_2024-02-04_final
2024-02-24 11:31:04	ga_s2am_ard_3-2-1_51LZF_2024-02-24_final
2024-04-24 11:34:52	ga_s2am_ard_3-2-1_50JRS_2024-04-24_final
2024-05-15 11:05:19	ga_s2am_ard_3-2-1_52JEP_2024-05-15_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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