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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_51HTE_2015-09-09_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLK_2015-11-14_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNK_2015-11-21_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JPP_2015-12-04_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLH_2016-01-03_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50JPL_2016-01-07_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGM_2016-01-16_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JNN_2016-02-19_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JNP_2016-02-19_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMB_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMV_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JPL_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JUM_2016-03-07_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMQ_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHP_2016-04-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KLC_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGM_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMR_2016-09-02_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLH_2017-04-07_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JFM_2017-09-20_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLH_2017-10-31_final
2017-12-14 11:26:04	ga_s2am_ard_3-2-1_51HVE_2017-12-14_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMJ_2018-02-08_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLH_2018-02-11_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMH_2018-02-28_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-04-28_final.stac-item
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HVE_2018-09-13_final
2019-01-17 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2019-01-17_final
2019-02-03 11:46:04	ga_s2am_ard_3-2-1_51JTF_2019-02-03_final
2019-02-10 11:36:20	ga_s2am_ard_3-2-1_51HVE_2019-02-10_final
2019-03-29 11:26:29	ga_s2am_ard_3-2-1_51HVE_2019-03-29_final
2019-03-31 12:03:41	ga_s2am_ard_3-2-1_50KLB_2019-03-31_final
2019-04-04 11:45:44	ga_s2am_ard_3-2-1_51JTH_2019-04-04_final
2019-04-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-04_final
2019-04-07 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2019-04-07_final
2019-09-08 11:36:13	ga_s2am_ard_3-2-1_51JUF_2019-09-08_final
2019-10-25 11:26:32	ga_s2am_ard_3-2-1_51HVE_2019-10-25_final
2019-11-17 11:36:25	ga_s2am_ard_3-2-1_51HVE_2019-11-17_final
2020-03-02 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-02_final
2020-04-04 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-04-04_final
2020-04-08 11:45:41	ga_s2am_ard_3-2-1_51JTH_2020-04-08_final
2020-04-08 11:46:13	ga_s2am_ard_3-2-1_50JQL_2020-04-08_final
2020-04-08 11:46:31	ga_s2am_ard_3-2-1_50HPK_2020-04-08_final
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final
2020-04-08 11:47:07	ga_s2am_ard_3-2-1_50HMH_2020-04-08_final
2020-06-06 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-06_final
2020-10-12 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-10-12_final
2020-11-01 11:36:22	ga_s2am_ard_3-2-1_51JUF_2020-11-01_final
2020-12-11 11:34:57	ga_s2am_ard_3-2-1_51JUL_2020-12-11_final
2020-12-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-17_final
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final
2021-01-23 11:46:08	ga_s2am_ard_3-2-1_51JTF_2021-01-23_final
2021-02-02 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-02_final
2021-05-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-05-22_final
2021-09-20 11:45:49	ga_s2am_ard_3-2-1_50JQN_2021-09-20_final
2021-09-26 12:05:12	ga_s2am_ard_3-2-1_50JLR_2021-09-26_final
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final
2021-09-30 11:45:33	ga_s2am_ard_3-2-1_51JTJ_2021-09-30_final
2021-09-30 11:46:20	ga_s2am_ard_3-2-1_50JQL_2021-09-30_final
2021-09-30 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2021-09-30_final
2021-10-14 11:26:35	ga_s2am_ard_3-2-1_51HVE_2021-10-14_final
2021-12-29 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-12-29_final
2022-01-31 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-31_final
2022-02-04 11:36:23	ga_s2am_ard_3-2-1_51HVE_2022-02-04_final
2022-02-10 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-02-10_final
2022-02-17 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-02-17_final
2022-04-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-04-01_final
2022-04-02 11:26:24	ga_s2am_ard_3-2-1_51HXE_2022-04-02_final
2022-04-02 11:26:34	ga_s2am_ard_3-2-1_51HUE_2022-04-02_final
2022-04-05 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2022-04-05_final
2022-04-08 11:46:16	ga_s2am_ard_3-2-1_50JQL_2022-04-08_final
2022-04-08 11:46:31	ga_s2am_ard_3-2-1_50HQK_2022-04-08_final
2022-06-23 12:06:07	ga_s2am_ard_3-2-1_50JKN_2022-06-23_final
2022-09-01 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-09-01_final.stac-item
2022-09-01 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-09-01_final.stac-item
2022-09-12 11:36:24	ga_s2am_ard_3-2-1_51JUF_2022-09-12_final.stac-item
2022-09-18 11:56:26	ga_s2am_ard_3-2-1_50JNL_2022-09-18_final.stac-item
2022-10-09 11:26:28	ga_s2am_ard_3-2-1_51HXE_2022-10-09_final.stac-item
2022-10-15 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-10-15_final.stac-item
2022-12-07 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-12-07_final.stac-item
2023-02-09 11:36:13	ga_s2am_ard_3-2-1_51JUF_2023-02-09_final.stac-item
2023-03-07 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-03-07_final.stac-item
2023-03-25 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-03-25_final.stac-item
2023-03-30 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-03-30_final.stac-item
2023-04-07 11:26:44	ga_s2am_ard_3-2-1_51HVD_2023-04-07_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-07-26 11:26:49	ga_s2am_ard_3-2-1_51HVD_2023-07-26_final.stac-item
2023-09-04 11:26:45	ga_s2am_ard_3-2-1_51HWD_2023-09-04_final.stac-item
2023-09-06 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-09-06_final.stac-item
2023-09-20 11:45:59	ga_s2am_ard_3-2-1_51JTG_2023-09-20_final.stac-item
2023-09-24 11:26:28	ga_s2am_ard_3-2-1_51HWE_2023-09-24_final.stac-item
2023-09-27 11:36:31	ga_s2am_ard_3-2-1_51HUE_2023-09-27_final.stac-item
2023-10-13 11:56:20	ga_s2am_ard_3-2-1_50JML_2023-10-13_final.stac-item
2023-10-14 11:26:27	ga_s2am_ard_3-2-1_51HVE_2023-10-14_final.stac-item
2023-10-24 11:26:26	ga_s2am_ard_3-2-1_51HWE_2023-10-24_final.stac-item
2023-10-27 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-10-27_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