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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JML_2015-12-04_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KRC_2016-07-21_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-08-06_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JTG_2016-08-24_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPJ_2016-11-12_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KLC_2016-12-11_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KPV_2016-12-25_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-03-31_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JNL_2017-06-26_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JMN_2017-07-16_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JQL_2017-09-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKA_2017-10-07_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KKB_2017-11-06_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HTC_2017-11-27_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGL_2017-12-16_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPJ_2018-01-19_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JTM_2018-02-18_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HVD_2018-03-14_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JMM_2018-03-23_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JML_2018-05-19_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGP_2018-06-24_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50KKB_2018-07-14_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKN_2018-08-10_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50KNB_2018-08-20_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50KKB_2018-10-22_final
2018-11-18 11:56:34	ga_s2am_ard_3-2-1_50HLK_2018-11-18_final
2018-12-02 11:34:23	ga_s2am_ard_3-2-1_51JUN_2018-12-02_final
2019-01-18 11:26:32	ga_s2am_ard_3-2-1_51HXD_2019-01-18_final
2019-01-23 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-01-23_final
2019-03-11 12:04:20	ga_s2am_ard_3-2-1_50KLU_2019-03-11_final
2019-03-24 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-03-24_final
2019-05-20 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-20_final
2019-05-27 11:53:24	ga_s2am_ard_3-2-1_50KPC_2019-05-27_final
2019-06-02 12:13:56	ga_s2am_ard_3-2-1_50KKA_2019-06-02_final
2019-06-29 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-06-29_final
2019-07-07 11:27:07	ga_s2am_ard_3-2-1_51HUC_2019-07-07_final
2019-07-13 11:44:21	ga_s2am_ard_3-2-1_50KRU_2019-07-13_final
2019-07-20 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-20_final
2019-09-30 12:15:01	ga_s2am_ard_3-2-1_49JFM_2019-09-30_final
2019-11-13 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-11-13_final
2019-11-24 11:26:18	ga_s2am_ard_3-2-1_51JUF_2019-11-24_final
2019-12-10 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-12-10_final.stac-item
2019-12-27 11:36:37	ga_s2am_ard_3-2-1_51HUD_2019-12-27_final
2019-12-27 11:36:52	ga_s2am_ard_3-2-1_51HUC_2019-12-27_final
2019-12-30 11:43:28	ga_s2am_ard_3-2-1_50KRB_2019-12-30_final
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-01-15 12:03:35	ga_s2am_ard_3-2-1_50KLB_2020-01-15_final
2020-01-19 11:43:12	ga_s2am_ard_3-2-1_50KRC_2020-01-19_final
2020-03-06 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2020-03-06_final
2020-05-28 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-05-28_final
2020-06-24 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-06-24_final
2020-07-03 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2020-07-03_final
2020-07-14 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-07-14_final
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-07-16_final
2020-08-12 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-12_final
2020-08-13 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-08-13_final
2020-08-19 11:55:59	ga_s2am_ard_3-2-1_50JMN_2020-08-19_final
2020-09-01 12:05:56	ga_s2am_ard_3-2-1_50JLN_2020-09-01_final
2020-09-21 12:04:47	ga_s2am_ard_3-2-1_50JKT_2020-09-21_final
2020-11-27 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-11-27_final
2021-03-14 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-03-14_final.stac-item
2021-04-13 11:46:02	ga_s2am_ard_3-2-1_51JTF_2021-04-13_final
2021-04-16 11:55:53	ga_s2am_ard_3-2-1_50JKN_2021-04-16_final
2021-04-29 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-04-29_final
2021-05-13 11:43:51	ga_s2am_ard_3-2-1_50KQA_2021-05-13_final
2021-06-11 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-06-11_final
2021-07-15 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-07-15_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-22 11:45:15	ga_s2am_ard_3-2-1_50JNR_2021-07-22_final
2021-09-06 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-09-06_final
2021-09-19 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-09-19_final
2021-11-15 12:03:42	ga_s2am_ard_3-2-1_50KLB_2021-11-15_final
2021-11-15 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-11-15_final
2021-12-09 11:44:44	ga_s2am_ard_3-2-1_51JTM_2021-12-09_final
2021-12-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-12-12_final
2022-02-10 11:53:23	ga_s2am_ard_3-2-1_50KNC_2022-02-10_final
2022-03-12 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-03-12_final
2022-03-16 11:36:47	ga_s2am_ard_3-2-1_51HUD_2022-03-16_final
2022-04-21 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-04-21_final
2022-05-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-05-24_final
2022-05-24 12:04:20	ga_s2am_ard_3-2-1_50KKV_2022-05-24_final
2022-06-07 11:46:42	ga_s2am_ard_3-2-1_50HPK_2022-06-07_final
2022-06-17 11:47:03	ga_s2am_ard_3-2-1_50HNJ_2022-06-17_final
2022-06-20 11:56:34	ga_s2am_ard_3-2-1_50JML_2022-06-20_final
2022-08-19 11:56:12	ga_s2am_ard_3-2-1_50JKN_2022-08-19_final
2022-08-26 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-08-26_final.stac-item
2022-09-25 11:46:15	ga_s2am_ard_3-2-1_50JNM_2022-09-25_final.stac-item
2023-01-23 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-01-23_final.stac-item
2023-03-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-03-20_final.stac-item
2023-04-26 11:53:21	ga_s2am_ard_3-2-1_50KPC_2023-04-26_final.stac-item
2023-05-26 11:53:14	ga_s2am_ard_3-2-1_50KRC_2023-05-26_final.stac-item
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-28_final.stac-item
2023-07-05 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-07-05_final.stac-item
2023-07-31 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-07-31_final.stac-item
2023-11-03 11:26:57	ga_s2am_ard_3-2-1_51HVC_2023-11-03_final.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2023-12-28 12:14:53	ga_s2am_ard_3-2-1_49JGM_2023-12-28_final.stac-item
2024-01-09 11:16:18	ga_s2am_ard_3-2-1_51HYE_2024-01-09_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