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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HLH_2015-11-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KMC_2016-01-03_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMH_2016-03-20_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50JQM_2016-04-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNG_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KQC_2016-04-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KPV_2016-05-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPA_2016-07-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KNC_2016-11-21_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-03_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JMM_2017-05-27_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-07-09_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HPG_2017-07-30_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KLB_2017-08-18_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMJ_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMM_2017-12-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JRT_2017-12-10_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50JQL_2017-12-17_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLH_2017-12-30_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKP_2018-04-05_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKM_2018-04-15_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLM_2018-06-01_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLM_2018-06-14_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLM_2018-07-21_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-06_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JML_2018-08-07_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JFM_2018-09-25_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKN_2018-09-29_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-11-15 11:47:11	ga_s2am_ard_3-2-1_50HPG_2018-11-15_final.stac-item
2018-11-28 11:53:23	ga_s2am_ard_3-2-1_50KMC_2018-11-28_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2019-02-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-02-13_final
2019-06-29 12:03:49	ga_s2am_ard_3-2-1_50KKB_2019-06-29_final
2019-07-29 12:03:49	ga_s2am_ard_3-2-1_50KKB_2019-07-29_final
2019-08-05 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-08-05_final
2019-09-27 12:03:24	ga_s2am_ard_3-2-1_50KMC_2019-09-27_final
2019-10-17 12:04:02	ga_s2am_ard_3-2-1_50KKA_2019-10-17_final
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-01-15 12:03:35	ga_s2am_ard_3-2-1_50KLB_2020-01-15_final
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-01-18_final
2020-01-25 12:05:34	ga_s2am_ard_3-2-1_50JKP_2020-01-25_final
2020-02-11 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2020-02-11_final
2020-03-02 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-03-02_final
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-03-12 11:54:04	ga_s2am_ard_3-2-1_50KNV_2020-03-12_final
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final
2020-04-21 11:53:25	ga_s2am_ard_3-2-1_50KNC_2020-04-21_final
2020-06-03 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-03_final
2020-06-10 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-06-10_final
2020-07-23 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-07-23_final
2020-08-02 12:03:52	ga_s2am_ard_3-2-1_50KKB_2020-08-02_final
2020-08-29 11:56:09	ga_s2am_ard_3-2-1_50JNM_2020-08-29_final
2020-11-07 11:53:29	ga_s2am_ard_3-2-1_50KNC_2020-11-07_final
2020-11-21 11:36:38	ga_s2am_ard_3-2-1_50HPK_2020-11-21_final
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-11-30_final
2020-12-13 12:14:57	ga_s2am_ard_3-2-1_49JFM_2020-12-13_final
2021-01-13 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-13_final
2021-02-09 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-02-09_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-20_final
2021-04-23 11:46:26	ga_s2am_ard_3-2-1_50HQK_2021-04-23_final
2021-05-20 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-05-20_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-06-01_final
2021-06-05 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-05_final
2021-07-09 11:36:22	ga_s2am_ard_3-2-1_50JQL_2021-07-09_final
2021-07-11 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-11_final
2021-07-25 11:55:50	ga_s2am_ard_3-2-1_50JKP_2021-07-25_final
2021-08-21 11:46:21	ga_s2am_ard_3-2-1_50JPL_2021-08-21_final
2021-08-27 12:03:28	ga_s2am_ard_3-2-1_50KLC_2021-08-27_final
2022-01-14 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-01-14_final
2022-01-18 11:43:37	ga_s2am_ard_3-2-1_50KQB_2022-01-18_final
2022-02-14 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-02-14_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-05-14 12:03:24	ga_s2am_ard_3-2-1_50KNC_2022-05-14_final
2022-06-07 11:47:29	ga_s2am_ard_3-2-1_50HNG_2022-06-07_final.stac-item
2022-06-10 11:55:44	ga_s2am_ard_3-2-1_50JNP_2022-06-10_final
2022-06-17 11:46:37	ga_s2am_ard_3-2-1_50JML_2022-06-17_final
2022-06-30 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-06-30_final
2023-04-20 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-04-20_final.stac-item
2023-04-26 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-26_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-05-13_final.stac-item
2023-06-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2023-06-15_final.stac-item
2023-06-22 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-22_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-08-04 11:53:22	ga_s2am_ard_3-2-1_50KQC_2023-08-04_final.stac-item
2023-08-11 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-08-11_final.stac-item
2023-08-27 12:04:05	ga_s2am_ard_3-2-1_49KHR_2023-08-27_final.stac-item
2023-09-26 12:03:25	ga_s2am_ard_3-2-1_50KMC_2023-09-26_final.stac-item
2023-10-29 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-29_final.stac-item
2023-11-29 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-29_final.stac-item
2023-12-02 11:53:13	ga_s2am_ard_3-2-1_50KPC_2023-12-02_final.stac-item
2023-12-08 12:15:05	ga_s2am_ard_3-2-1_49JGL_2023-12-08_final.stac-item
2024-01-11 11:55:51	ga_s2am_ard_3-2-1_50JLN_2024-01-11_final.stac-item
2024-01-31 11:53:13	ga_s2am_ard_3-2-1_50KQC_2024-01-31_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