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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KNB_2015-12-17_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGP_2016-01-09_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPR_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JMS_2016-02-05_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHP_2016-02-08_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNM_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNN_2016-03-03_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPH_2016-03-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JQN_2016-04-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLG_2016-07-01_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPH_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPR_2016-07-08_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HPG_2016-07-28_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-08-06_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JRT_2016-12-15_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKV_2016-12-31_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQG_2017-01-01_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50JRT_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKQ_2017-01-30_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HMH_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JNP_2017-08-12_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JKN_2017-08-25_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMG_2017-12-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JKM_2018-01-12_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLG_2018-04-02_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNJ_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-07-04_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JRT_2018-08-07_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KMB_2018-08-10_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNH_2018-08-27_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPG_2018-09-13_final.stac-item
2018-11-08 11:54:07	ga_s2am_ard_3-2-1_50KMV_2018-11-08_final
2018-11-11 12:03:47	ga_s2am_ard_3-2-1_50KMA_2018-11-11_final
2018-11-18 11:53:36	ga_s2am_ard_3-2-1_50KMB_2018-11-18_final
2018-12-18 11:53:34	ga_s2am_ard_3-2-1_50KMB_2018-12-18_final
2018-12-18 11:54:14	ga_s2am_ard_3-2-1_50JQT_2018-12-18_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-21_final
2018-12-24 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-12-24_final
2018-12-28 11:53:47	ga_s2am_ard_3-2-1_50KNA_2018-12-28_final
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
2019-01-04 11:45:19	ga_s2am_ard_3-2-1_50JNQ_2019-01-04_final
2019-01-07 11:54:43	ga_s2am_ard_3-2-1_50JPS_2019-01-07_final
2019-01-10 12:03:22	ga_s2am_ard_3-2-1_50KLC_2019-01-10_final
2019-01-10 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-01-10_final.stac-item
2019-01-24 11:44:27	ga_s2am_ard_3-2-1_50JRT_2019-01-24_final
2019-05-27 11:57:23	ga_s2am_ard_3-2-1_50HMG_2019-05-27_final.stac-item
2019-05-30 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-05-30_final
2019-06-23 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-06-23_final
2019-06-26 11:54:59	ga_s2am_ard_3-2-1_50JMS_2019-06-26_final
2019-07-03 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-07-03_final.stac-item
2019-09-28 11:34:38	ga_s2am_ard_3-2-1_50JRT_2019-09-28_final
2019-11-06 12:03:26	ga_s2am_ard_3-2-1_50KMC_2019-11-06_final
2019-12-20 11:44:47	ga_s2am_ard_3-2-1_50JPS_2019-12-20_final
2019-12-23 11:53:33	ga_s2am_ard_3-2-1_50KNB_2019-12-23_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-02-21 11:53:33	ga_s2am_ard_3-2-1_50KNB_2020-02-21_final
2020-05-15 11:37:26	ga_s2am_ard_3-2-1_50HPG_2020-05-15_final.stac-item
2020-06-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-07-13 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-07-13_final
2020-07-13 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-07-13_final
2020-11-04 11:44:35	ga_s2am_ard_3-2-1_50JRT_2020-11-04_final
2020-11-07 11:53:54	ga_s2am_ard_3-2-1_50KPA_2020-11-07_final
2020-11-27 11:53:40	ga_s2am_ard_3-2-1_50KNB_2020-11-27_final
2020-11-27 11:53:57	ga_s2am_ard_3-2-1_50KMA_2020-11-27_final
2020-12-17 11:53:37	ga_s2am_ard_3-2-1_50KNB_2020-12-17_final
2020-12-17 11:53:51	ga_s2am_ard_3-2-1_50KNA_2020-12-17_final
2020-12-24 11:45:06	ga_s2am_ard_3-2-1_50JPR_2020-12-24_final
2020-12-27 11:54:33	ga_s2am_ard_3-2-1_50KLU_2020-12-27_final
2021-02-05 11:54:11	ga_s2am_ard_3-2-1_50KMV_2021-02-05_final
2021-03-07 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-07_final
2021-03-10 12:03:26	ga_s2am_ard_3-2-1_50KLC_2021-03-10_final
2021-04-16 11:55:40	ga_s2am_ard_3-2-1_50JKP_2021-04-16_final
2021-07-02 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-07-02_final.stac-item
2021-08-11 11:45:09	ga_s2am_ard_3-2-1_50JPR_2021-08-11_final
2021-08-11 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2021-08-11_final
2021-09-23 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-09-23_final
2021-10-20 11:44:36	ga_s2am_ard_3-2-1_50JRT_2021-10-20_final
2021-11-29 11:44:30	ga_s2am_ard_3-2-1_50JRT_2021-11-29_final
2022-03-09 11:44:35	ga_s2am_ard_3-2-1_50JRT_2022-03-09_final
2022-04-28 11:47:22	ga_s2am_ard_3-2-1_50HPG_2022-04-28_final.stac-item
2022-05-05 11:36:36	ga_s2am_ard_3-2-1_50HPK_2022-05-05_final
2022-06-17 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-06-17_final
2022-07-04 11:37:39	ga_s2am_ard_3-2-1_50HNG_2022-07-04_final.stac-item
2022-11-04 11:47:21	ga_s2am_ard_3-2-1_50HPG_2022-11-04_final.stac-item
2022-11-10 12:03:48	ga_s2am_ard_3-2-1_50KNA_2022-11-10_final.stac-item
2022-12-10 12:03:44	ga_s2am_ard_3-2-1_50KNA_2022-12-10_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_50KNA_2022-12-30_final.stac-item
2023-02-12 11:44:29	ga_s2am_ard_3-2-1_50JRT_2023-02-12_final.stac-item
2023-02-19 11:37:23	ga_s2am_ard_3-2-1_50HNG_2023-02-19_final.stac-item
2023-03-21 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-21_final.stac-item
2023-03-31 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-31_final.stac-item
2023-04-13 11:44:45	ga_s2am_ard_3-2-1_50JPT_2023-04-13_final.stac-item
2023-06-22 11:44:48	ga_s2am_ard_3-2-1_50JPT_2023-06-22_final.stac-item
2023-07-05 11:55:40	ga_s2am_ard_3-2-1_50JNP_2023-07-05_final.stac-item
2023-12-22 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-12-22_final.stac-item
2024-01-08 11:47:16	ga_s2am_ard_3-2-1_50HNG_2024-01-08_final.stac-item
2024-02-27 11:44:30	ga_s2am_ard_3-2-1_50JRT_2024-02-27_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

All years