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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JYK_2015-10-23_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZR_2016-01-24_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JKP_2016-03-16_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HXD_2016-07-09_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMT_2016-07-21_final.stac-item
2016-09-03 11:36:03	ga_s2am_ard_3-2-1_51HVE_2016-09-03_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_51JTF_2016-09-23_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_51KTU_2016-10-26_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KNB_2016-12-21_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQA_2017-01-14_final.stac-item
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51LZE_2017-02-10_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KMC_2017-03-11_final.stac-item
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KVS_2017-07-30_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVF_2017-10-05_final.stac-item
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51HWE_2017-11-04_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JWJ_2017-11-07_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLM_2017-12-03_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNV_2017-12-03_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JYJ_2018-02-19_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JZN_2018-02-19_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JYK_2018-02-22_final.stac-item
2018-04-03 11:23:03	ga_s2am_ard_3-2-1_51JWK_2018-04-03_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50JRT_2018-09-13_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXF_2018-09-30_final.stac-item
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51HWE_2018-10-30_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51LVC_2018-11-05_final.stac-item
2018-11-08 11:54:43	ga_s2am_ard_3-2-1_50JPS_2018-11-08_final.stac-item
2018-11-09 11:24:03	ga_s2am_ard_3-2-1_51KYP_2018-11-09_final.stac-item
2018-11-18 11:56:59	ga_s2am_ard_3-2-1_50HMH_2018-11-18_final.stac-item
2019-01-28 11:22:49	ga_s2am_ard_3-2-1_51KZU_2019-01-28_final.stac-item
2019-02-07 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2019-02-07_final.stac-item
2019-02-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-02-23_final.stac-item
2019-03-16 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2019-03-16_final.stac-item
2019-04-13 12:13:56	ga_s2am_ard_3-2-1_50KKA_2019-04-13_final.stac-item
2019-05-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-05-18_final.stac-item
2019-05-24 11:44:56	ga_s2am_ard_3-2-1_51JTL_2019-05-24_final.stac-item
2019-05-28 11:23:03	ga_s2am_ard_3-2-1_51KXU_2019-05-28_final.stac-item
2019-07-04 11:15:47	ga_s2am_ard_3-2-1_51JXH_2019-07-04_final.stac-item
2019-08-16 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2019-08-16_final.stac-item
2019-09-05 11:26:29	ga_s2am_ard_3-2-1_51HVE_2019-09-05_final.stac-item
2019-11-27 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-11-27_final.stac-item
2020-01-02 11:53:48	ga_s2am_ard_3-2-1_50KNA_2020-01-02_final.stac-item
2020-01-03 11:25:47	ga_s2am_ard_3-2-1_51JXG_2020-01-03_final.stac-item
2020-02-24 12:05:24	ga_s2am_ard_3-2-1_49JGK_2020-02-24_final.stac-item
2020-04-02 11:26:32	ga_s2am_ard_3-2-1_51HXD_2020-04-02_final.stac-item
2020-05-12 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2020-05-12_final.stac-item
2020-06-01 11:24:07	ga_s2am_ard_3-2-1_51KYP_2020-06-01_final.stac-item
2020-08-09 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-09_final.stac-item
2020-10-09 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-10-09_final.stac-item
2020-12-11 11:32:54	ga_s2am_ard_3-2-1_51KWU_2020-12-11_final.stac-item
2020-12-18 11:22:58	ga_s2am_ard_3-2-1_51KXU_2020-12-18_final.stac-item
2020-12-18 11:23:11	ga_s2am_ard_3-2-1_51KXT_2020-12-18_final.stac-item
2021-01-04 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-01-04_final.stac-item
2021-01-13 11:42:05	ga_s2am_ard_3-2-1_51LVC_2021-01-13_final.stac-item
2021-01-30 11:32:22	ga_s2am_ard_3-2-1_51KYA_2021-01-30_final.stac-item
2021-02-12 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-02-12_final.stac-item
2021-02-18 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-02-18_final.stac-item
2021-04-14 11:16:31	ga_s2am_ard_3-2-1_51HYD_2021-04-14_final.stac-item
2021-05-02 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-05-02_final.stac-item
2021-06-13 11:15:51	ga_s2am_ard_3-2-1_52JBM_2021-06-13_final.stac-item
2021-06-22 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-06-22_final.stac-item
2021-06-29 11:34:16	ga_s2am_ard_3-2-1_51KVP_2021-06-29_final.stac-item
2021-07-29 11:37:01	ga_s2am_ard_3-2-1_51HUC_2021-07-29_final.stac-item
2021-10-20 11:46:39	ga_s2am_ard_3-2-1_50HPK_2021-10-20_final.stac-item
2021-11-02 11:56:15	ga_s2am_ard_3-2-1_50JLM_2021-11-02_final.stac-item
2022-02-13 12:03:41	ga_s2am_ard_3-2-1_50KLB_2022-02-13_final.stac-item
2022-03-19 11:46:29	ga_s2am_ard_3-2-1_50JML_2022-03-19_final.stac-item
2022-03-23 11:24:18	ga_s2am_ard_3-2-1_51KWP_2022-03-23_final.stac-item
2022-04-05 11:36:01	ga_s2am_ard_3-2-1_51JUG_2022-04-05_final.stac-item
2022-04-12 11:26:07	ga_s2am_ard_3-2-1_51JUG_2022-04-12_final.stac-item
2022-05-29 11:14:49	ga_s2am_ard_3-2-1_51JYM_2022-05-29_final.stac-item
2022-06-01 11:22:46	ga_s2am_ard_3-2-1_51KZV_2022-06-01_final.stac-item
2022-06-17 11:46:12	ga_s2am_ard_3-2-1_50JQM_2022-06-17_final.stac-item
2022-06-18 11:16:42	ga_s2am_ard_3-2-1_51HWE_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
2022-07-23 12:04:53	ga_s2am_ard_3-2-1_50JKT_2022-07-23_final.stac-item
2022-08-09 11:53:59	ga_s2am_ard_3-2-1_50KPA_2022-08-09_final.stac-item
2022-08-16 11:46:32	ga_s2am_ard_3-2-1_50JPL_2022-08-16_final.stac-item
2022-08-16 11:46:46	ga_s2am_ard_3-2-1_50HPK_2022-08-16_final.stac-item
2022-10-02 11:32:33	ga_s2am_ard_3-2-1_51KXA_2022-10-02_final.stac-item
2022-10-05 11:43:07	ga_s2am_ard_3-2-1_51KUU_2022-10-05_final.stac-item
2022-11-15 11:16:39	ga_s2am_ard_3-2-1_51HYD_2022-11-15_final.stac-item
2022-12-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2022-12-17_final.stac-item
2023-01-13 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-01-13_final.stac-item
2023-01-16 11:54:44	ga_s2am_ard_3-2-1_50JPS_2023-01-16_final.stac-item
2023-02-02 11:41:57	ga_s2am_ard_3-2-1_51LVC_2023-02-02_final
2023-02-12 11:43:20	ga_s2am_ard_3-2-1_50KQC_2023-02-12_nrt.stac-item
2023-04-03 11:42:08	ga_s2am_ard_3-2-1_51KWB_2023-04-03_final
2023-04-10 11:31:35	ga_s2am_ard_3-2-1_51LZD_2023-04-10_final
2023-05-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-06_final
2023-06-26 11:23:10	ga_s2am_ard_3-2-1_51KZT_2023-06-26_final
2023-09-10 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-09-10_final
2023-09-30 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-09-30_final
2023-10-24 11:25:39	ga_s2am_ard_3-2-1_51JXH_2023-10-24_final
2024-02-25 11:06:22	ga_s2am_ard_3-2-1_52HBK_2024-02-25_final
2024-03-02 11:22:52	ga_s2am_ard_3-2-1_51KZU_2024-03-02_final
2024-03-02 11:23:43	ga_s2am_ard_3-2-1_51KXR_2024-03-02_final
2024-03-15 11:32:46	ga_s2am_ard_3-2-1_51KVV_2024-03-15_final
2024-03-15 11:32:58	ga_s2am_ard_3-2-1_51KWU_2024-03-15_final
2024-03-18 11:44:20	ga_s2am_ard_3-2-1_50KQU_2024-03-18_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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