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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JUF_2015-12-25_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JPL_2016-01-17_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HWD_2016-02-10_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HWE_2016-02-10_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGQ_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JML_2016-03-20_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JXF_2016-04-10_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKB_2016-04-15_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50HQK_2016-04-16_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_51JTF_2016-04-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMH_2016-04-19_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-04-25_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNP_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNM_2016-05-29_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KKV_2016-10-12_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMH_2016-11-18_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMH_2017-02-03_final.stac-item
2017-03-29 11:26:04	ga_s2am_ard_3-2-1_51JUF_2017-03-29_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYL_2017-06-27_final.stac-item
2017-07-20 11:36:04	ga_s2am_ard_3-2-1_51JUF_2017-07-20_final.stac-item
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51HVE_2017-09-18_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGM_2017-10-07_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HMJ_2017-10-11_final.stac-item
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51JUF_2017-11-24_final.stac-item
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-03-09_final.stac-item
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51HVE_2018-04-23_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNQ_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JKN_2018-05-22_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50JQR_2018-05-29_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KPU_2018-05-29_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51HUE_2018-06-12_final.stac-item
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JUF_2018-06-12_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50KLB_2018-06-24_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50KPU_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JPS_2018-07-11_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUD_2018-08-04_final.stac-item
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51JUN_2018-08-24_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JQR_2018-08-27_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final.stac-item
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HVE_2018-09-10_final.stac-item
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51HUE_2018-09-20_final.stac-item
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JVF_2018-09-20_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPM_2018-10-06_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50KPU_2018-10-06_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLJ_2018-10-09_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPK_2018-10-13_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JNR_2018-10-16_final.stac-item
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JPT_2018-10-16_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLT_2018-10-19_final.stac-item
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51JVF_2018-10-23_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNP_2018-10-26_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JPS_2018-10-29_final.stac-item
2018-11-12 11:34:10	ga_s2am_ard_3-2-1_51JXN_2018-11-12_final.stac-item
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final.stac-item
2018-12-21 12:04:31	ga_s2am_ard_3-2-1_50JLT_2018-12-21_final.stac-item
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final.stac-item
2019-01-07 11:54:21	ga_s2am_ard_3-2-1_50KMU_2019-01-07_final.stac-item
2019-01-07 11:54:57	ga_s2am_ard_3-2-1_50JPR_2019-01-07_final.stac-item
2019-01-07 11:55:37	ga_s2am_ard_3-2-1_50JLP_2019-01-07_final.stac-item
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final.stac-item
2019-02-03 11:47:07	ga_s2am_ard_3-2-1_50HMH_2019-02-03_final.stac-item
2019-02-13 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final.stac-item
2019-02-26 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-02-26_final.stac-item
2019-12-17 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2019-12-17_final.stac-item
2019-12-17 11:34:12	ga_s2am_ard_3-2-1_51KUP_2019-12-17_final.stac-item
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final.stac-item
2020-01-16 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2020-01-16_final.stac-item
2020-04-01 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-04-01_final.stac-item
2020-11-11 11:36:27	ga_s2am_ard_3-2-1_51HVE_2020-11-11_final.stac-item
2020-11-27 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2020-11-27_final.stac-item
2020-12-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2020-12-01_final.stac-item
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final.stac-item
2021-01-30 11:36:22	ga_s2am_ard_3-2-1_51HVE_2021-01-30_final.stac-item
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final.stac-item
2021-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2021-03-21_final
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final.stac-item
2021-04-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-04-29_final.stac-item
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final.stac-item
2021-04-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-04-29_final.stac-item
2021-05-13 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-05-13_final.stac-item
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final.stac-item
2021-06-22 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-06-22_final.stac-item
2021-07-09 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-07-09_final
2021-08-17 12:03:36	ga_s2am_ard_3-2-1_50KNB_2021-08-17_final.stac-item
2021-09-07 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-09-07_final.stac-item
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final.stac-item
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final.stac-item
2022-03-09 11:43:08	ga_s2am_ard_3-2-1_50KRD_2022-03-09_final.stac-item
2022-04-02 11:26:28	ga_s2am_ard_3-2-1_51HWE_2022-04-02_final.stac-item
2022-04-15 11:36:37	ga_s2am_ard_3-2-1_50HQK_2022-04-15_final.stac-item
2022-09-02 11:36:08	ga_s2am_ard_3-2-1_51JVG_2022-09-02_final.stac-item
2022-09-19 11:26:19	ga_s2am_ard_3-2-1_51JWF_2022-09-19_final.stac-item
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final
2023-04-10 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-04-10_final
2023-07-05 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-07-05_final
2023-10-07 11:36:24	ga_s2am_ard_3-2-1_51HVE_2023-10-07_final
2023-10-13 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-10-13_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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