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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KLV_2015-12-27_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HLK_2016-02-12_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50JML_2016-02-12_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-03-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNQ_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HTC_2016-04-23_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JVJ_2016-05-03_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HWE_2016-05-10_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KGP_2016-05-15_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HUD_2016-05-23_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLN_2016-07-21_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51JVF_2016-09-13_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLN_2016-09-19_final.stac-item
2016-09-30 11:26:04	ga_s2am_ard_3-2-1_51JUF_2016-09-30_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JUF_2016-10-10_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JVF_2016-10-10_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2016-12-08_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HPG_2017-01-01_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLH_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-01-30_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-04-13_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51HYE_2017-06-14_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51HXC_2017-07-24_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKR_2017-10-07_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLG_2018-04-29_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HWB_2018-06-09_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JPN_2018-06-28_final
2018-07-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-07-01_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKP_2018-07-11_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HMK_2018-07-21_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLN_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKU_2018-08-23_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUE_2018-08-31_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPG_2018-09-13_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HUC_2018-10-10_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JUF_2018-10-10_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51JUF_2018-10-20_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNN_2018-10-26_final
2018-11-09 11:26:50	ga_s2am_ard_3-2-1_51HWC_2018-11-09_final.stac-item
2018-12-18 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-12-18_final.stac-item
2019-01-01 11:34:23	ga_s2am_ard_3-2-1_51JVN_2019-01-01_final
2019-01-03 12:14:13	ga_s2am_ard_3-2-1_50KKU_2019-01-03_final
2019-01-07 11:54:43	ga_s2am_ard_3-2-1_50JPS_2019-01-07_final
2019-03-28 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-03-28_final
2019-05-27 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-05-27_final
2019-06-12 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-06-12_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-09-04 11:56:40	ga_s2am_ard_3-2-1_50HLK_2019-09-04_final
2019-10-08 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-10-08_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2020-01-08 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-01-08_final
2020-01-12 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-12_final
2020-02-08 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-02-08_final
2020-02-21 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-02-21_final.stac-item
2020-07-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-07-07_final.stac-item
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-10-09 11:26:27	ga_s2am_ard_3-2-1_51JVF_2020-10-09_final
2020-10-15 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-10-15_final
2020-12-17 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-12-17_final
2021-01-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-01-03_final.stac-item
2021-01-06 11:53:50	ga_s2am_ard_3-2-1_50KPA_2021-01-06_final
2021-01-10 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-01-10_final
2021-02-02 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-02-02_final
2021-03-07 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-07_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-05-07 11:26:40	ga_s2am_ard_3-2-1_51HUD_2021-05-07_final
2021-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2021-05-13_final
2021-05-16 11:52:59	ga_s2am_ard_3-2-1_50KRD_2021-05-16_final
2021-05-24 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-05-24_final.stac-item
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-06-26 11:27:09	ga_s2am_ard_3-2-1_51HTC_2021-06-26_final
2021-07-21 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-07-21_final
2021-08-15 11:26:38	ga_s2am_ard_3-2-1_51HXD_2021-08-15_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-17_final
2021-09-17 11:35:58	ga_s2am_ard_3-2-1_51JVG_2021-09-17_final
2021-10-31 11:16:45	ga_s2am_ard_3-2-1_51HXD_2021-10-31_final
2021-11-30 11:16:55	ga_s2am_ard_3-2-1_51HXC_2021-11-30_final.stac-item
2022-02-13 12:03:55	ga_s2am_ard_3-2-1_50KLA_2022-02-13_final
2022-03-15 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-03-15_final
2022-05-18 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-05-18_final.stac-item
2022-06-03 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-06-03_final
2022-06-26 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-06-26_final.stac-item
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final.stac-item
2022-10-09 11:27:01	ga_s2am_ard_3-2-1_51HWC_2022-10-09_final.stac-item
2022-10-22 11:35:14	ga_s2am_ard_3-2-1_51JVK_2022-10-22_final.stac-item
2023-03-05 11:16:52	ga_s2am_ard_3-2-1_51HXC_2023-03-05_final.stac-item
2023-03-31 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-31_final.stac-item
2023-04-29 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-04-29_final.stac-item
2023-06-18 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-06-18_final.stac-item
2023-09-03 11:57:27	ga_s2am_ard_3-2-1_50HLG_2023-09-03_final.stac-item
2023-09-14 11:26:40	ga_s2am_ard_3-2-1_51HXD_2023-09-14_final.stac-item
2023-09-17 11:36:27	ga_s2am_ard_3-2-1_51HVE_2023-09-17_final.stac-item
2023-10-03 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-10-03_final.stac-item
2023-10-16 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-10-16_final.stac-item
2023-10-26 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-10-26_final.stac-item
2023-10-26 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-10-26_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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