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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKU_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPR_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KGR_2016-01-09_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMS_2016-02-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMS_2016-03-16_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMS_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-04-25_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-08_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JQN_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JRT_2016-05-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPS_2016-07-08_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50JRT_2016-11-15_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHR_2017-02-19_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-04-13_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-07-09_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JML_2017-07-16_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JPP_2017-07-16_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JPS_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMH_2017-08-12_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JPR_2017-08-12_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50JPL_2017-08-19_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLN_2017-10-24_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50JRT_2017-11-20_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JRT_2018-02-25_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-02-27_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-02-27_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMG_2018-05-22_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPG_2018-06-08_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPG_2018-07-15_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HPJ_2018-07-18_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JPS_2018-07-31_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMH_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JPQ_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JPT_2018-08-10_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JRT_2018-08-24_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMG_2018-09-06_final.stac-item
2018-12-18 11:53:48	ga_s2am_ard_3-2-1_50KMA_2018-12-18_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2018-12-24 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-24_final
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final
2019-01-11 11:37:16	ga_s2am_ard_3-2-1_50HPG_2019-01-11_final.stac-item
2019-07-03 11:47:29	ga_s2am_ard_3-2-1_50HMG_2019-07-03_final.stac-item
2019-08-18 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-08-18_final
2019-09-28 11:37:18	ga_s2am_ard_3-2-1_50HQG_2019-09-28_final.stac-item
2019-10-28 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-10-28_final.stac-item
2019-11-13 11:53:59	ga_s2am_ard_3-2-1_50KMA_2019-11-13_final
2019-11-27 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-11-27_final.stac-item
2019-12-06 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-12-06_final
2019-12-20 11:44:32	ga_s2am_ard_3-2-1_50JPT_2019-12-20_final
2020-01-06 11:34:44	ga_s2am_ard_3-2-1_50JRS_2020-01-06_final
2020-02-15 11:34:42	ga_s2am_ard_3-2-1_50JRS_2020-02-15_final
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_49KHR_2020-04-14_final
2020-04-25 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2020-04-25_final
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final
2020-06-04 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-06-04_final.stac-item
2020-06-27 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-06-27_final
2020-08-19 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-08-19_final
2020-11-10 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-11-10_final
2020-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-11-10_final
2020-11-24 11:45:08	ga_s2am_ard_3-2-1_50JPR_2020-11-24_final
2020-11-24 11:45:13	ga_s2am_ard_3-2-1_50JNR_2020-11-24_final
2020-11-30 12:03:27	ga_s2am_ard_3-2-1_50KLC_2020-11-30_final
2020-11-30 12:05:38	ga_s2am_ard_3-2-1_50JLP_2020-11-30_final
2020-12-13 12:14:57	ga_s2am_ard_3-2-1_49JFM_2020-12-13_final
2020-12-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-17_final
2020-12-24 11:44:51	ga_s2am_ard_3-2-1_50JPS_2020-12-24_final
2020-12-24 11:45:10	ga_s2am_ard_3-2-1_50JNR_2020-12-24_final
2021-01-06 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-01-06_final
2021-01-09 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-01-09_final
2021-02-18 12:03:26	ga_s2am_ard_3-2-1_50KLC_2021-02-18_final
2021-03-24 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-03-24_final
2021-06-02 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-06-02_final.stac-item
2021-06-22 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-22_final
2021-08-11 11:45:33	ga_s2am_ard_3-2-1_50JNP_2021-08-11_final
2021-08-21 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-08-21_final.stac-item
2021-08-27 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-08-27_final.stac-item
2021-10-03 11:56:30	ga_s2am_ard_3-2-1_50JLL_2021-10-03_final
2021-10-17 11:37:23	ga_s2am_ard_3-2-1_50HQG_2021-10-17_final.stac-item
2021-12-09 11:44:29	ga_s2am_ard_3-2-1_50JRT_2021-12-09_final
2022-06-03 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-06-03_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-06-13_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2023-03-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2023-03-14_final.stac-item
2023-03-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-03-20_final.stac-item
2023-03-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-03-23_final.stac-item
2023-04-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-13_final.stac-item
2023-08-28 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-08-28_final.stac-item
2023-11-09 11:44:30	ga_s2am_ard_3-2-1_50JRT_2023-11-09_final.stac-item
2023-12-08 12:13:52	ga_s2am_ard_3-2-1_49KGR_2023-12-08_final.stac-item
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final.stac-item
2024-01-11 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-11_final.stac-item
2024-01-25 11:36:57	ga_s2am_ard_3-2-1_50HQH_2024-01-25_final.stac-item
2024-02-13 12:06:01	ga_s2am_ard_3-2-1_50JLM_2024-02-13_final.stac-item
2024-03-18 11:45:47	ga_s2am_ard_3-2-1_50JQN_2024-03-18_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