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
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_50JMS_2015-12-27_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-01-29_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNL_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGM_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGP_2016-03-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KPV_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQB_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQC_2016-05-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50KNA_2016-11-11_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51JUN_2016-12-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JUN_2016-12-15_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50KMA_2017-02-26_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51JTN_2017-03-05_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HNG_2017-03-12_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JTL_2017-04-21_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQG_2017-11-07_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KQA_2017-12-30_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRA_2017-12-30_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HPG_2018-01-06_final.stac-item
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_51JUN_2018-02-08_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HQG_2018-02-15_final.stac-item
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50JRT_2018-02-15_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_50KRD_2018-02-28_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HWC_2018-03-04_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KMA_2018-03-06_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRD_2018-03-30_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMG_2018-05-19_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMH_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMH_2018-07-08_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JPS_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KNA_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KPA_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KQA_2018-08-10_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JRT_2018-10-26_final
2018-11-08 11:52:29	ga_s2am_ard_3-2-1_50KQF_2018-11-08_final.stac-item
2018-11-22 11:34:29	ga_s2am_ard_3-2-1_51JTN_2018-11-22_final
2018-12-22 11:34:21	ga_s2am_ard_3-2-1_51JVN_2018-12-22_final
2019-01-04 11:43:13	ga_s2am_ard_3-2-1_50KRC_2019-01-04_final
2019-01-04 11:43:31	ga_s2am_ard_3-2-1_50KQB_2019-01-04_final
2019-01-04 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-01-04_final
2019-02-10 11:34:21	ga_s2am_ard_3-2-1_51JVN_2019-02-10_final
2019-02-20 11:37:13	ga_s2am_ard_3-2-1_50HQG_2019-02-20_final.stac-item
2019-07-03 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-03_final
2019-11-23 11:53:54	ga_s2am_ard_3-2-1_50KNA_2019-11-23_final
2019-11-23 11:53:57	ga_s2am_ard_3-2-1_50KMA_2019-11-23_final
2019-11-27 11:34:29	ga_s2am_ard_3-2-1_51JVN_2019-11-27_final
2019-12-20 11:44:39	ga_s2am_ard_3-2-1_50JPS_2019-12-20_final
2019-12-23 11:53:51	ga_s2am_ard_3-2-1_50KMA_2019-12-23_final
2019-12-30 11:44:11	ga_s2am_ard_3-2-1_50KRU_2019-12-30_final
2020-01-09 11:47:19	ga_s2am_ard_3-2-1_50HMG_2020-01-09_final.stac-item
2020-02-24 12:04:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-03-02 11:53:34	ga_s2am_ard_3-2-1_50KNB_2020-03-02_final
2020-11-04 11:44:15	ga_s2am_ard_3-2-1_50KPV_2020-11-04_final
2020-11-07 11:53:58	ga_s2am_ard_3-2-1_50KNA_2020-11-07_final
2020-11-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2020-11-20_final.stac-item
2020-11-24 11:44:32	ga_s2am_ard_3-2-1_50JRT_2020-11-24_final
2020-12-24 11:43:46	ga_s2am_ard_3-2-1_50KRA_2020-12-24_final
2020-12-24 11:44:15	ga_s2am_ard_3-2-1_50KRU_2020-12-24_final
2021-01-03 11:43:51	ga_s2am_ard_3-2-1_50KQA_2021-01-03_final
2021-01-03 11:44:31	ga_s2am_ard_3-2-1_51JTN_2021-01-03_final
2021-01-04 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-01-04_final.stac-item
2021-01-06 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-01-06_final
2021-02-08 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-08_final
2021-02-25 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-02-25_final.stac-item
2021-03-11 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-03-11_final
2021-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-03-21_final.stac-item
2021-06-09 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-06-09_final
2021-06-29 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-06-29_final.stac-item
2021-07-02 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-07-02_final.stac-item
2021-08-04 11:53:06	ga_s2am_ard_3-2-1_50KQD_2021-08-04_final.stac-item
2021-08-18 11:34:39	ga_s2am_ard_3-2-1_50JRT_2021-08-18_final
2021-08-21 11:44:12	ga_s2am_ard_3-2-1_50KPV_2021-08-21_final
2021-11-12 11:53:41	ga_s2am_ard_3-2-1_50KNB_2021-11-12_final
2021-12-16 11:34:29	ga_s2am_ard_3-2-1_51JVN_2021-12-16_final
2021-12-23 11:26:56	ga_s2am_ard_3-2-1_51HWC_2021-12-23_final.stac-item
2021-12-26 11:34:37	ga_s2am_ard_3-2-1_51JTN_2021-12-26_final
2022-10-05 13:21:51	ga_s2am_ard_3-2-1_47LKG_2022-10-05_interim.stac-item
2022-11-04 11:47:21	ga_s2am_ard_3-2-1_50HPG_2022-11-04_final.stac-item
2023-01-30 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-01-30_final.stac-item
2023-03-15 11:16:56	ga_s2am_ard_3-2-1_51HWC_2023-03-15_final.stac-item
2023-10-04 11:26:56	ga_s2am_ard_3-2-1_51HWC_2023-10-04_final.stac-item
2023-10-17 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-10-17_final.stac-item
2023-11-03 11:27:06	ga_s2am_ard_3-2-1_51HTC_2023-11-03_final.stac-item
2023-11-29 11:44:19	ga_s2am_ard_3-2-1_51JUN_2023-11-29_final.stac-item
2023-12-09 11:47:11	ga_s2am_ard_3-2-1_50HPG_2023-12-09_final.stac-item
2023-12-10 11:16:17	ga_s2am_ard_3-2-1_51HYE_2023-12-10_final.stac-item
2024-01-05 11:34:33	ga_s2am_ard_3-2-1_50JRT_2024-01-05_final.stac-item
2024-01-08 11:47:13	ga_s2am_ard_3-2-1_50HPG_2024-01-08_final.stac-item
2024-01-08 11:47:16	ga_s2am_ard_3-2-1_50HNG_2024-01-08_final.stac-item
2024-01-18 11:44:22	ga_s2am_ard_3-2-1_50JRT_2024-01-18_final.stac-item
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final.stac-item
2024-02-18 11:16:57	ga_s2am_ard_3-2-1_51HWC_2024-02-18_final.stac-item
2024-03-18 11:44:28	ga_s2am_ard_3-2-1_51JUN_2024-03-18_final.stac-item
2024-03-29 11:16:59	ga_s2am_ard_3-2-1_51HWC_2024-03-29_final.stac-item
2024-04-11 11:26:55	ga_s2am_ard_3-2-1_51HWC_2024-04-11_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

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