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
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2016-04-29_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_50KKA_2016-07-27_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HWD_2016-08-18_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JPQ_2016-10-09_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50JNM_2016-10-26_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWC_2016-12-06_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KNB_2017-03-11_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JNL_2017-04-07_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KKB_2017-07-29_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKN_2017-10-17_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HPH_2017-10-31_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-12-19_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_50KKB_2018-01-25_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-02-07_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KNC_2018-04-02_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51HUC_2018-06-15_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPH_2018-08-04_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQJ_2018-09-06_final
2018-12-18 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-18_final
2018-12-25 11:43:11	ga_s2am_ard_3-2-1_50KRC_2018-12-25_final
2019-02-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-02_final
2019-03-28 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-03-28_final
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-10 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-04-10_final
2019-07-06 11:53:26	ga_s2am_ard_3-2-1_50KPC_2019-07-06_final
2019-08-25 11:56:27	ga_s2am_ard_3-2-1_50JLL_2019-08-25_final
2019-08-31 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-08-31_final
2019-09-08 11:36:56	ga_s2am_ard_3-2-1_51HUC_2019-09-08_final
2019-11-13 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-11-13_final
2020-01-02 11:53:25	ga_s2am_ard_3-2-1_50KMC_2020-01-02_final
2020-01-19 11:43:12	ga_s2am_ard_3-2-1_50KRC_2020-01-19_final
2020-01-28 12:13:32	ga_s2am_ard_3-2-1_50KKB_2020-01-28_final
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2020-02-07_final
2020-03-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2020-03-19_final
2020-04-12 11:26:57	ga_s2am_ard_3-2-1_51HVC_2020-04-12_final
2020-05-31 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-05-31_final
2020-06-21 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-06-21_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-08-19 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-08-19_final
2020-11-27 11:52:20	ga_s2am_ard_3-2-1_50KQG_2020-11-27_final.stac-item
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final
2020-12-27 11:56:10	ga_s2am_ard_3-2-1_50JLM_2020-12-27_final
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final
2021-01-26 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-01-26_final
2021-02-02 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-02-02_final
2021-02-08 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-02-08_final
2021-03-07 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-07_final
2021-03-07 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-03-07_final
2021-03-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2021-03-30_final
2021-04-06 11:52:30	ga_s2am_ard_3-2-1_50KQF_2021-04-06_final.stac-item
2021-04-06 11:53:07	ga_s2am_ard_3-2-1_50KRC_2021-04-06_final
2021-04-22 12:14:55	ga_s2am_ard_3-2-1_49JFM_2021-04-22_final
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final
2021-05-03 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-05-03_final
2021-06-23 11:17:00	ga_s2am_ard_3-2-1_51HWC_2021-06-23_final.stac-item
2021-08-01 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-08-01_final
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final.stac-item
2021-10-03 11:53:08	ga_s2am_ard_3-2-1_50KQD_2021-10-03_final.stac-item
2021-11-19 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-11-19_final
2021-12-12 11:52:36	ga_s2am_ard_3-2-1_50KPF_2021-12-12_final.stac-item
2022-01-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2022-01-21_final
2022-02-20 11:55:58	ga_s2am_ard_3-2-1_50JLN_2022-02-20_final
2022-04-11 11:53:26	ga_s2am_ard_3-2-1_50KNC_2022-04-11_final
2022-05-07 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-05-07_final
2022-05-08 11:43:23	ga_s2am_ard_3-2-1_50KRC_2022-05-08_final
2022-05-31 11:56:33	ga_s2am_ard_3-2-1_50JLL_2022-05-31_final
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final
2022-07-14 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-07-14_final
2022-07-17 11:46:46	ga_s2am_ard_3-2-1_50HPK_2022-07-17_final
2022-08-02 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-08-02_final
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-21 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-09-21_final.stac-item
2022-10-12 11:36:43	ga_s2am_ard_3-2-1_50HPK_2022-10-12_final.stac-item
2022-10-12 11:37:22	ga_s2am_ard_3-2-1_50HQG_2022-10-12_final.stac-item
2022-11-20 12:03:39	ga_s2am_ard_3-2-1_50KMB_2022-11-20_final.stac-item
2022-11-20 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-20_final.stac-item
2022-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2022-12-20_final.stac-item
2022-12-27 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-27_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-02-01 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-02-01_final.stac-item
2023-02-18 12:03:20	ga_s2am_ard_3-2-1_50KMC_2023-02-18_final.stac-item
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final.stac-item
2023-04-19 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-04-19_final.stac-item
2023-04-20 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-04-20_final.stac-item
2023-06-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-22_final.stac-item
2023-06-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-06-22_final.stac-item
2023-08-04 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-08-04_final.stac-item
2023-10-19 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-10-19_final.stac-item
2023-12-08 12:13:34	ga_s2am_ard_3-2-1_50KKB_2023-12-08_final.stac-item
2023-12-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2023-12-08_final.stac-item
2023-12-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2023-12-15_final.stac-item
2024-01-11 11:53:37	ga_s2am_ard_3-2-1_50KMB_2024-01-11_final.stac-item
2024-01-11 11:55:51	ga_s2am_ard_3-2-1_50JLN_2024-01-11_final.stac-item
2024-02-14 11:36:40	ga_s2am_ard_3-2-1_51HUD_2024-02-14_final.stac-item
2024-02-17 11:43:20	ga_s2am_ard_3-2-1_50KQC_2024-02-17_final.stac-item
2024-04-30 11:53:20	ga_s2am_ard_3-2-1_50KQC_2024-04-30_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