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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNH_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMH_2016-04-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKU_2016-05-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2016-06-24_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KMA_2016-07-01_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50JPR_2016-08-17_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HNG_2016-10-23_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50JNM_2016-11-05_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-21_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-21_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JNM_2017-02-26_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JNL_2017-07-26_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLH_2017-09-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMG_2017-12-03_final.stac-item
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50JNM_2017-12-13_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-17_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50JQP_2018-02-18_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JLM_2018-03-13_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-04-08_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-04-26_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50JML_2018-05-09_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-05-12_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGN_2018-05-28_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPH_2018-08-14_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_50KKA_2018-08-16_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JLN_2018-09-02_final
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_50KKA_2018-12-01_final
2018-12-08 11:56:10	ga_s2am_ard_3-2-1_50JNL_2018-12-08_final
2019-01-10 12:04:23	ga_s2am_ard_3-2-1_50KKU_2019-01-10_final
2019-01-14 11:47:16	ga_s2am_ard_3-2-1_50HNG_2019-01-14_final.stac-item
2019-01-24 11:46:26	ga_s2am_ard_3-2-1_50HQK_2019-01-24_final
2019-02-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-02-13_final
2019-02-16 11:56:07	ga_s2am_ard_3-2-1_50JLM_2019-02-16_final
2019-02-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-02-22_final
2019-02-23 11:44:45	ga_s2am_ard_3-2-1_50JQS_2019-02-23_final
2019-03-25 11:46:09	ga_s2am_ard_3-2-1_50JPL_2019-03-25_final
2019-06-29 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-06-29_final
2019-07-09 12:03:32	ga_s2am_ard_3-2-1_50KLC_2019-07-09_final
2019-07-12 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-12_final
2019-11-13 11:56:22	ga_s2am_ard_3-2-1_50JNL_2019-11-13_final
2019-12-20 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-12-20_final
2019-12-26 12:04:40	ga_s2am_ard_3-2-1_49JGN_2019-12-26_final
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final
2020-01-22 11:56:12	ga_s2am_ard_3-2-1_50JNL_2020-01-22_final
2020-05-04 12:03:30	ga_s2am_ard_3-2-1_50KLC_2020-05-04_final
2020-05-27 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-05-27_final
2020-06-04 11:37:13	ga_s2am_ard_3-2-1_50HPH_2020-06-04_final
2020-06-06 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-06_final
2020-06-07 11:46:15	ga_s2am_ard_3-2-1_50JNM_2020-06-07_final
2020-06-24 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-06-24_final
2020-06-27 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-06-27_final
2020-07-17 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-17_final
2020-07-23 12:04:45	ga_s2am_ard_3-2-1_50JLT_2020-07-23_final
2020-08-05 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-05_final
2020-09-15 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-09-15_final
2020-11-04 11:46:24	ga_s2am_ard_3-2-1_50JPL_2020-11-04_final
2020-12-14 11:47:14	ga_s2am_ard_3-2-1_50HPG_2020-12-14_final.stac-item
2021-01-29 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-01-29_final
2021-04-23 11:47:02	ga_s2am_ard_3-2-1_50HNH_2021-04-23_final
2021-05-03 11:47:22	ga_s2am_ard_3-2-1_50HMG_2021-05-03_final.stac-item
2021-07-15 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-15_final
2021-09-27 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-09-27_final
2021-10-07 11:37:31	ga_s2am_ard_3-2-1_50HNG_2021-10-07_final.stac-item
2021-10-16 12:04:15	ga_s2am_ard_3-2-1_50KLV_2021-10-16_final
2021-11-05 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-11-05_final
2021-11-18 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-18_final
2021-12-05 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-12-05_final
2022-01-27 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-01-27_final
2022-04-17 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-04-17_final
2022-04-28 11:45:59	ga_s2am_ard_3-2-1_50JNN_2022-04-28_final
2022-06-27 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-06-27_final
2022-07-17 11:44:50	ga_s2am_ard_3-2-1_50JPT_2022-07-17_final
2022-07-23 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-07-23_final
2022-09-01 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-09-01_final.stac-item
2022-10-08 11:56:24	ga_s2am_ard_3-2-1_50JNL_2022-10-08_final.stac-item
2022-10-08 11:57:27	ga_s2am_ard_3-2-1_50HMG_2022-10-08_final.stac-item
2022-10-15 11:46:05	ga_s2am_ard_3-2-1_50JQM_2022-10-15_final.stac-item
2023-01-09 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-01-09_final.stac-item
2023-01-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-01-29_final.stac-item
2023-02-02 11:44:29	ga_s2am_ard_3-2-1_50JRT_2023-02-02_final.stac-item
2023-02-28 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2023-02-28_final.stac-item
2023-04-09 12:04:46	ga_s2am_ard_3-2-1_49JGN_2023-04-09_final.stac-item
2023-04-19 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-04-19_final.stac-item
2023-05-29 12:05:01	ga_s2am_ard_3-2-1_50JKS_2023-05-29_final.stac-item
2023-06-01 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-01_final.stac-item
2023-06-28 12:03:27	ga_s2am_ard_3-2-1_50KMC_2023-06-28_final.stac-item
2023-06-29 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-29_final.stac-item
2023-07-02 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-07-02_final.stac-item
2023-08-14 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-14_final.stac-item
2023-08-17 12:04:05	ga_s2am_ard_3-2-1_50KKA_2023-08-17_final.stac-item
2023-08-31 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-31_final.stac-item
2023-11-08 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-11-08_final.stac-item
2023-11-15 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-11-15_final.stac-item
2023-12-09 11:46:14	ga_s2am_ard_3-2-1_50JPL_2023-12-09_final.stac-item
2024-01-04 12:03:38	ga_s2am_ard_3-2-1_50KLB_2024-01-04_final.stac-item
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2024-02-03_final.stac-item
2024-02-06 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-02-06_final.stac-item
2024-03-14 12:05:37	ga_s2am_ard_3-2-1_50JLP_2024-03-14_final.stac-item
2024-03-15 11:34:36	ga_s2am_ard_3-2-1_50JRT_2024-03-15_final.stac-item
2024-04-17 11:46:22	ga_s2am_ard_3-2-1_50JPL_2024-04-17_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