Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMK_2015-12-21_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JPL_2016-01-17_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMS_2016-04-02_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
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPJ_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLM_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNM_2016-05-29_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HQG_2016-10-23_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPK_2016-10-26_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMJ_2016-11-18_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPG_2017-07-10_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKR_2017-10-07_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-12-19_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPG_2018-04-26_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JPM_2018-04-29_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPG_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLG_2018-05-22_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNR_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPG_2018-06-08_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNQ_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPM_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPR_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPK_2018-09-03_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-09-29_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JPL_2018-10-06_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-12_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-10-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPJ_2018-10-13_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNR_2018-10-26_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-11-21 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-11-21_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-25 11:47:20	ga_s2am_ard_3-2-1_50HLG_2018-12-25_final.stac-item
2018-12-31 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-12-31_final.stac-item
2019-01-01 11:37:15	ga_s2am_ard_3-2-1_50HPG_2019-01-01_final.stac-item
2019-01-07 11:54:57	ga_s2am_ard_3-2-1_50JPR_2019-01-07_final
2019-01-07 11:55:37	ga_s2am_ard_3-2-1_50JLP_2019-01-07_final
2019-03-04 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-03-04_final.stac-item
2019-03-25 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-03-25_final.stac-item
2019-06-30 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-06-30_final.stac-item
2019-12-06 12:06:02	ga_s2am_ard_3-2-1_50JLM_2019-12-06_final
2020-01-06 11:37:15	ga_s2am_ard_3-2-1_50HPG_2020-01-06_final.stac-item
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-01-09 11:47:11	ga_s2am_ard_3-2-1_50HPG_2020-01-09_final.stac-item
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-01-16 11:36:57	ga_s2am_ard_3-2-1_50HQH_2020-01-16_final
2020-02-18 11:46:20	ga_s2am_ard_3-2-1_50JML_2020-02-18_final
2020-02-18 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-02-18_final
2020-04-28 11:46:25	ga_s2am_ard_3-2-1_50JNL_2020-04-28_final
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final
2020-08-19 11:55:48	ga_s2am_ard_3-2-1_50JLP_2020-08-19_final
2020-09-01 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-09-01_final
2020-10-21 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-21_final
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-10 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-11-10_final
2020-12-04 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2020-12-04_final
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final
2021-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-05_final
2021-02-05 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-05_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final.stac-item
2021-03-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-03-24_final
2021-03-27 11:57:02	ga_s2am_ard_3-2-1_50HMH_2021-03-27_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-23 11:47:17	ga_s2am_ard_3-2-1_50HNG_2021-04-23_final.stac-item
2021-04-29 12:04:37	ga_s2am_ard_3-2-1_50JLT_2021-04-29_final
2021-04-29 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-04-29_final
2021-04-29 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2021-04-29_final
2021-04-29 12:05:49	ga_s2am_ard_3-2-1_50JLN_2021-04-29_final
2021-05-23 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-05-23_final
2021-05-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-05-26_final.stac-item
2021-06-15 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-06-15_final
2021-06-22 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-06-22_final
2021-06-28 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-06-28_final
2021-07-02 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-07-02_final.stac-item
2021-07-05 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-05_final
2021-07-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-07-22_final
2021-07-31 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-31_final
2021-08-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-07_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-09-26 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-09-26_final
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2022-01-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-01-27_final
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-03-22 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2022-03-22_final
2022-03-28 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-03-28_final
2022-06-06 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-06-06_final.stac-item
2022-06-23 12:06:07	ga_s2am_ard_3-2-1_50JKN_2022-06-23_final
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-03-27 11:56:06	ga_s2am_ard_3-2-1_50JMM_2023-03-27_final.stac-item
2023-04-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-02_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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