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
2016-03-08 11:02:38	ga_s2am_ard_3-2-1_52KHB_2016-03-08_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KFC_2016-05-20_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KGC_2016-05-27_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JZM_2016-07-09_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKN_2016-08-03_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGN_2016-09-02_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KWP_2016-09-13_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGL_2016-11-24_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVJ_2016-12-12_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KFG_2017-01-25_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_52KFC_2017-03-26_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JTH_2017-04-21_final.stac-item
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JVG_2017-06-07_final.stac-item
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_50JQL_2017-07-20_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKN_2018-02-11_final.stac-item
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYG_2018-03-01_final.stac-item
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYA_2018-03-04_final.stac-item
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KWU_2018-05-16_final.stac-item
2018-05-23 11:25:37	ga_s2am_ard_3-2-1_51HUE_2018-05-23_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HTD_2018-06-05_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JET_2018-06-06_final.stac-item
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGL_2018-06-07_final.stac-item
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGM_2018-06-07_final.stac-item
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52JER_2018-06-16_final.stac-item
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_52KBV_2018-09-30_final.stac-item
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KYT_2018-10-23_final.stac-item
2018-11-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2018-11-11_final.stac-item
2019-03-18 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-03-18_final.stac-item
2019-03-30 10:55:27	ga_s2am_ard_3-2-1_52JGN_2019-03-30_final.stac-item
2019-04-11 11:32:56	ga_s2am_ard_3-2-1_51KXU_2019-04-11_final.stac-item
2019-04-14 11:45:38	ga_s2am_ard_3-2-1_50JPP_2019-04-14_final.stac-item
2019-05-28 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-05-28_final.stac-item
2019-07-17 11:23:26	ga_s2am_ard_3-2-1_52KBB_2019-07-17_final.stac-item
2019-08-16 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-08-16_final.stac-item
2019-11-28 11:02:54	ga_s2am_ard_3-2-1_52KHC_2019-11-28_final.stac-item
2019-11-28 11:05:01	ga_s2am_ard_3-2-1_52JEQ_2019-11-28_final.stac-item
2020-01-03 11:23:56	ga_s2am_ard_3-2-1_51KWQ_2020-01-03_final.stac-item
2020-01-30 11:13:26	ga_s2am_ard_3-2-1_52KDA_2020-01-30_final.stac-item
2020-02-02 11:22:44	ga_s2am_ard_3-2-1_51KZU_2020-02-02_final.stac-item
2020-03-03 11:23:54	ga_s2am_ard_3-2-1_51KZP_2020-03-03_final.stac-item
2020-03-29 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-03-29_final.stac-item
2020-04-25 11:36:36	ga_s2am_ard_3-2-1_50HQK_2020-04-25_final.stac-item
2020-05-13 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-05-13_final.stac-item
2020-06-13 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-06-13_final.stac-item
2020-07-12 10:54:48	ga_s2am_ard_3-2-1_52JGR_2020-07-12_final.stac-item
2020-08-23 11:34:55	ga_s2am_ard_3-2-1_51JTM_2020-08-23_final.stac-item
2020-08-29 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-08-29_final.stac-item
2020-09-12 11:32:54	ga_s2am_ard_3-2-1_51KYU_2020-09-12_final.stac-item
2020-09-12 11:33:37	ga_s2am_ard_3-2-1_51KXR_2020-09-12_final.stac-item
2020-09-16 11:13:18	ga_s2am_ard_3-2-1_52KBC_2020-09-16_final.stac-item
2020-10-10 10:56:06	ga_s2am_ard_3-2-1_52JFL_2020-10-10_final.stac-item
2020-10-15 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-15_final.stac-item
2020-11-21 11:37:03	ga_s2am_ard_3-2-1_51HTC_2020-11-21_final.stac-item
2021-01-01 11:06:03	ga_s2am_ard_3-2-1_52JDL_2021-01-01_final.stac-item
2021-01-30 11:33:48	ga_s2am_ard_3-2-1_51KUR_2021-01-30_final.stac-item
2021-02-06 11:22:52	ga_s2am_ard_3-2-1_51KZU_2021-02-06_final.stac-item
2021-03-08 11:26:39	ga_s2am_ard_3-2-1_51HVD_2021-03-08_final.stac-item
2021-03-15 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2021-03-15_final.stac-item
2021-04-11 11:01:12	ga_s2am_ard_3-2-1_52LGK_2021-04-11_final.stac-item
2021-05-17 11:25:16	ga_s2am_ard_3-2-1_51JVK_2021-05-17_final.stac-item
2021-06-22 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-06-22_final.stac-item
2021-08-05 11:23:52	ga_s2am_ard_3-2-1_52KBV_2021-08-05_final.stac-item
2021-10-02 10:45:51	ga_s2am_ard_3-2-1_52JGM_2021-10-02_final.stac-item
2021-10-18 11:06:08	ga_s2am_ard_3-2-1_52JDL_2021-10-18_final.stac-item
2021-10-27 11:36:15	ga_s2am_ard_3-2-1_51JVF_2021-10-27_final.stac-item
2021-11-03 11:24:33	ga_s2am_ard_3-2-1_51JWN_2021-11-03_final.stac-item
2021-11-07 11:03:59	ga_s2am_ard_3-2-1_52KGU_2021-11-07_final.stac-item
2021-11-25 12:04:10	ga_s2am_ard_3-2-1_50KLV_2021-11-25_final.stac-item
2021-12-06 11:36:45	ga_s2am_ard_3-2-1_51HTD_2021-12-06_final.stac-item
2021-12-09 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-12-09_final.stac-item
2022-01-12 11:22:49	ga_s2am_ard_3-2-1_52KCD_2022-01-12_final.stac-item
2022-03-03 11:23:46	ga_s2am_ard_3-2-1_51KXR_2022-03-03_final.stac-item
2022-03-29 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2022-03-29_final.stac-item
2022-04-22 11:23:47	ga_s2am_ard_3-2-1_51KXR_2022-04-22_final.stac-item
2022-05-13 10:55:20	ga_s2am_ard_3-2-1_52JFP_2022-05-13_final.stac-item
2022-07-01 11:22:06	ga_s2am_ard_3-2-1_52LBH_2022-07-01_final.stac-item
2022-07-14 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-07-14_final.stac-item
2022-08-17 11:13:34	ga_s2am_ard_3-2-1_52KCB_2022-08-17_final.stac-item
2022-10-06 11:10:32	ga_s2am_ard_3-2-1_52LHN_2022-10-06_final.stac-item
2022-10-12 11:34:34	ga_s2am_ard_3-2-1_51JVN_2022-10-12_final.stac-item
2022-11-19 10:54:23	ga_s2am_ard_3-2-1_52JFT_2022-11-19_final.stac-item
2022-12-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2022-12-21_final.stac-item
2022-12-21 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-21_final.stac-item
2022-12-21 11:35:48	ga_s2am_ard_3-2-1_50JQN_2022-12-21_final.stac-item
2023-04-13 11:44:48	ga_s2am_ard_3-2-1_50JRS_2023-04-13_final
2023-05-11 11:06:32	ga_s2am_ard_3-2-1_52HBJ_2023-05-11_final
2023-06-05 11:57:18	ga_s2am_ard_3-2-1_49HGC_2023-06-05_nrt
2023-06-26 11:25:49	ga_s2am_ard_3-2-1_51JVH_2023-06-26_final
2023-07-28 12:05:34	ga_s2am_ard_3-2-1_49JGK_2023-07-28_final
2023-07-28 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-07-28_final
2023-08-02 11:14:29	ga_s2am_ard_3-2-1_51JZN_2023-08-02_final
2023-09-07 11:31:11	ga_s2am_ard_3-2-1_51LZF_2023-09-07_final
2023-11-04 10:55:21	ga_s2am_ard_3-2-1_52JEP_2023-11-04_final
2023-12-05 12:03:16	ga_s2am_ard_3-2-1_50KMC_2023-12-05_final
2023-12-06 11:34:22	ga_s2am_ard_3-2-1_51JVN_2023-12-06_final
2024-01-15 11:34:51	ga_s2am_ard_3-2-1_51JVL_2024-01-15_final
2024-03-01 11:53:41	ga_s2am_ard_3-2-1_50KPB_2024-03-01_final
2024-03-05 11:33:16	ga_s2am_ard_3-2-1_51KVT_2024-03-05_final
2024-04-17 11:45:03	ga_s2am_ard_3-2-1_51JTL_2024-04-17_final
2024-04-21 11:24:05	ga_s2am_ard_3-2-1_51KWQ_2024-04-21_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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