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
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2015-12-27_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGM_2016-01-09_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLN_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-08_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JPS_2016-07-01_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPQ_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQQ_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQT_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JRS_2016-07-08_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JPQ_2016-08-10_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2016-11-04_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMG_2016-11-05_final
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGN_2016-11-11_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLG_2016-12-25_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNG_2016-12-25_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-01-03_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JPP_2017-08-12_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JRS_2017-08-12_final.stac-item
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JFM_2018-01-08_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-03-06_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JMS_2018-03-06_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPR_2018-05-19_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMK_2018-06-01_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50JPS_2018-06-28_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMK_2018-07-01_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JQS_2018-07-08_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMJ_2018-07-08_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMK_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLH_2018-07-11_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLH_2018-07-31_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-06_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLT_2018-08-10_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JMS_2018-08-10_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JMT_2018-08-10_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JNQ_2018-08-10_final.stac-item
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final.stac-item
2018-11-25 11:44:59	ga_s2am_ard_3-2-1_50JPR_2018-11-25_final.stac-item
2018-11-25 11:45:04	ga_s2am_ard_3-2-1_50JNR_2018-11-25_final.stac-item
2019-01-04 11:45:12	ga_s2am_ard_3-2-1_50JQQ_2019-01-04_final.stac-item
2019-01-04 11:45:34	ga_s2am_ard_3-2-1_50JNP_2019-01-04_final.stac-item
2019-01-04 11:46:07	ga_s2am_ard_3-2-1_50JMM_2019-01-04_final.stac-item
2019-05-24 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-05-24_final.stac-item
2019-07-13 11:47:15	ga_s2am_ard_3-2-1_50HMH_2019-07-13_final.stac-item
2019-08-15 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-08-15_final.stac-item
2019-11-10 11:44:40	ga_s2am_ard_3-2-1_50JPT_2019-11-10_final.stac-item
2019-11-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2019-11-16_final.stac-item
2019-12-20 11:45:05	ga_s2am_ard_3-2-1_50JNR_2019-12-20_final.stac-item
2020-01-09 11:45:01	ga_s2am_ard_3-2-1_50JPR_2020-01-09_final.stac-item
2020-03-09 11:45:35	ga_s2am_ard_3-2-1_50JNP_2020-03-09_final.stac-item
2020-04-14 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-04-14_final.stac-item
2020-06-27 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-06-27_final.stac-item
2020-07-10 11:57:10	ga_s2am_ard_3-2-1_50HMH_2020-07-10_final.stac-item
2020-08-06 11:44:58	ga_s2am_ard_3-2-1_50JPS_2020-08-06_final.stac-item
2020-08-26 11:44:58	ga_s2am_ard_3-2-1_50JPS_2020-08-26_final.stac-item
2020-08-26 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-08-26_final.stac-item
2020-08-29 11:55:51	ga_s2am_ard_3-2-1_50JKP_2020-08-29_final.stac-item
2020-11-07 11:54:49	ga_s2am_ard_3-2-1_50JLT_2020-11-07_final.stac-item
2020-12-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-17_final.stac-item
2020-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2020-12-20_final.stac-item
2020-12-24 11:45:38	ga_s2am_ard_3-2-1_50JNP_2020-12-24_final.stac-item
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final.stac-item
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final.stac-item
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final.stac-item
2021-01-03 11:45:07	ga_s2am_ard_3-2-1_50JPR_2021-01-03_final.stac-item
2021-01-06 11:54:48	ga_s2am_ard_3-2-1_50JPS_2021-01-06_final.stac-item
2021-01-06 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-01-06_final.stac-item
2021-01-13 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-01-13_final
2021-01-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-01-30_final
2021-03-04 11:44:38	ga_s2am_ard_3-2-1_50JPT_2021-03-04_final.stac-item
2021-03-14 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-03-14_final
2021-06-22 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-06-22_final.stac-item
2021-07-02 11:45:09	ga_s2am_ard_3-2-1_50JPR_2021-07-02_final.stac-item
2021-07-02 11:45:13	ga_s2am_ard_3-2-1_50JNR_2021-07-02_final.stac-item
2021-07-22 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-07-22_final.stac-item
2021-08-11 11:44:51	ga_s2am_ard_3-2-1_50JQS_2021-08-11_final.stac-item
2021-08-11 11:47:17	ga_s2am_ard_3-2-1_50HLH_2021-08-11_final.stac-item
2021-08-18 11:34:51	ga_s2am_ard_3-2-1_50JRS_2021-08-18_final.stac-item
2021-08-21 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2021-08-21_final.stac-item
2021-08-21 11:45:41	ga_s2am_ard_3-2-1_50JNP_2021-08-21_final.stac-item
2021-10-07 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final
2022-06-27 11:45:20	ga_s2am_ard_3-2-1_50JPR_2022-06-27_final.stac-item
2022-08-06 11:45:18	ga_s2am_ard_3-2-1_50JPR_2022-08-06_final.stac-item
2023-01-13 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-01-13_final
2023-01-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-01-23_final
2023-04-30 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-30_final
2023-05-13 11:44:54	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final
2023-06-02 11:44:49	ga_s2am_ard_3-2-1_50JPT_2023-06-02_final
2023-06-02 11:44:56	ga_s2am_ard_3-2-1_50JPS_2023-06-02_final
2023-07-02 11:45:08	ga_s2am_ard_3-2-1_50JQR_2023-07-02_final
2023-07-12 11:44:59	ga_s2am_ard_3-2-1_50JPS_2023-07-12_final
2023-09-30 11:47:26	ga_s2am_ard_3-2-1_50HMG_2023-09-30_final
2024-01-08 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-01-08_final
2024-03-28 11:46:53	ga_s2am_ard_3-2-1_50HQH_2024-03-28_final
2024-04-17 11:47:27	ga_s2am_ard_3-2-1_50HMG_2024-04-17_final
2024-05-17 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2024-05-17_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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