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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JWK_2016-01-07_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50KRD_2016-02-19_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQC_2016-03-03_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKN_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JVK_2016-05-16_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPG_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KNA_2016-07-01_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HUC_2016-07-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50KNA_2016-11-11_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQG_2016-11-22_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51JWN_2016-11-22_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51HWC_2016-11-29_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMG_2016-12-25_final.stac-item
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JWM_2017-02-27_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50JRT_2017-03-05_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50KQV_2017-08-12_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JVH_2017-08-19_final
2018-03-13 11:46:58	ga_s2am_ard_3-2-1_50KQF_2018-03-13_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HWC_2018-05-20_final.stac-item
2018-11-08 11:53:52	ga_s2am_ard_3-2-1_50KMA_2018-11-08_final
2018-11-08 11:54:00	ga_s2am_ard_3-2-1_50KPV_2018-11-08_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_50KNA_2018-11-11_final
2018-11-15 11:44:25	ga_s2am_ard_3-2-1_51JTN_2018-11-15_final
2018-11-26 11:15:22	ga_s2am_ard_3-2-1_51JXJ_2018-11-26_final
2018-12-26 11:15:22	ga_s2am_ard_3-2-1_51JXJ_2018-12-26_final
2018-12-28 11:52:30	ga_s2am_ard_3-2-1_50KPF_2018-12-28_final.stac-item
2019-01-04 11:44:17	ga_s2am_ard_3-2-1_50KPU_2019-01-04_final
2019-01-08 11:24:39	ga_s2am_ard_3-2-1_51JWM_2019-01-08_final
2019-06-03 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-06-03_final.stac-item
2019-09-18 11:37:17	ga_s2am_ard_3-2-1_50HQG_2019-09-18_final.stac-item
2019-10-28 11:34:39	ga_s2am_ard_3-2-1_51JTN_2019-10-28_final
2019-11-03 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-11-03_final.stac-item
2019-11-13 11:52:40	ga_s2am_ard_3-2-1_50KPF_2019-11-13_final.stac-item
2019-11-24 11:24:56	ga_s2am_ard_3-2-1_51JXL_2019-11-24_final
2019-11-24 11:24:59	ga_s2am_ard_3-2-1_51JWL_2019-11-24_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2019-12-23 11:52:53	ga_s2am_ard_3-2-1_50KRD_2019-12-23_final
2019-12-23 11:53:51	ga_s2am_ard_3-2-1_50KMA_2019-12-23_final
2019-12-30 11:43:16	ga_s2am_ard_3-2-1_50KQC_2019-12-30_final
2020-01-02 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-01-02_final
2020-01-03 11:26:53	ga_s2am_ard_3-2-1_51HVC_2020-01-03_final
2020-01-05 12:03:21	ga_s2am_ard_3-2-1_50KLC_2020-01-05_final
2020-01-20 11:17:01	ga_s2am_ard_3-2-1_51HWB_2020-01-20_final.stac-item
2020-02-05 11:34:29	ga_s2am_ard_3-2-1_50JRT_2020-02-05_final
2020-02-11 11:53:46	ga_s2am_ard_3-2-1_50KNA_2020-02-11_final
2020-02-21 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-02-21_final.stac-item
2020-03-09 11:44:06	ga_s2am_ard_3-2-1_50KPV_2020-03-09_final
2020-03-09 11:44:23	ga_s2am_ard_3-2-1_51JUN_2020-03-09_final
2020-03-16 11:34:33	ga_s2am_ard_3-2-1_50JRT_2020-03-16_final
2020-08-29 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-08-29_final.stac-item
2020-12-14 11:44:27	ga_s2am_ard_3-2-1_51JTN_2020-12-14_final
2020-12-14 11:47:18	ga_s2am_ard_3-2-1_50HNG_2020-12-14_final.stac-item
2020-12-24 11:43:32	ga_s2am_ard_3-2-1_50KRB_2020-12-24_final
2020-12-24 11:44:04	ga_s2am_ard_3-2-1_50KQV_2020-12-24_final
2020-12-27 11:53:31	ga_s2am_ard_3-2-1_50KQB_2020-12-27_final
2020-12-27 11:54:00	ga_s2am_ard_3-2-1_50KQV_2020-12-27_final
2020-12-28 11:24:29	ga_s2am_ard_3-2-1_51JWN_2020-12-28_final
2020-12-28 11:24:44	ga_s2am_ard_3-2-1_51JWM_2020-12-28_final
2021-01-03 11:43:21	ga_s2am_ard_3-2-1_50KQC_2021-01-03_final
2021-01-03 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-01-03_final
2021-01-07 11:24:56	ga_s2am_ard_3-2-1_51JXL_2021-01-07_final
2021-01-07 11:25:10	ga_s2am_ard_3-2-1_51JXK_2021-01-07_final
2021-01-10 11:34:33	ga_s2am_ard_3-2-1_51JUN_2021-01-10_final
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final
2021-02-19 11:34:31	ga_s2am_ard_3-2-1_51JUN_2021-02-19_final
2021-03-07 11:53:56	ga_s2am_ard_3-2-1_50KMA_2021-03-07_final
2021-07-02 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-07-02_final.stac-item
2021-07-28 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_50KKB_2021-09-29_final
2021-10-20 11:44:33	ga_s2am_ard_3-2-1_51JUN_2021-10-20_final
2021-11-26 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-11-26_final
2021-12-19 11:44:31	ga_s2am_ard_3-2-1_50JRT_2021-12-19_final
2022-02-10 11:53:16	ga_s2am_ard_3-2-1_50KQC_2022-02-10_final
2022-02-14 11:34:32	ga_s2am_ard_3-2-1_51JUN_2022-02-14_final
2022-02-27 11:44:30	ga_s2am_ard_3-2-1_51JUN_2022-02-27_final
2022-03-06 11:34:40	ga_s2am_ard_3-2-1_51JTN_2022-03-06_final
2022-04-15 11:37:24	ga_s2am_ard_3-2-1_50HPG_2022-04-15_final.stac-item
2022-07-16 12:15:08	ga_s2am_ard_3-2-1_49JGM_2022-07-16_final
2022-08-19 11:53:16	ga_s2am_ard_3-2-1_50KQD_2022-08-19_final.stac-item
2022-10-12 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2022-10-12_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-03-04 11:44:24	ga_s2am_ard_3-2-1_51JUN_2023-03-04_final.stac-item
2023-08-24 11:53:16	ga_s2am_ard_3-2-1_50KRC_2023-08-24_final.stac-item
2023-08-28 11:37:27	ga_s2am_ard_3-2-1_50HPG_2023-08-28_final.stac-item
2023-10-03 11:53:23	ga_s2am_ard_3-2-1_50KPC_2023-10-03_final.stac-item
2023-10-17 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-10-17_final.stac-item
2023-10-27 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-10-27_final.stac-item
2023-11-16 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-11-16_final.stac-item
2023-11-30 11:16:22	ga_s2am_ard_3-2-1_51HWE_2023-11-30_final.stac-item
2023-12-02 11:57:12	ga_s2am_ard_3-2-1_50HMG_2023-12-02_final.stac-item
2023-12-26 11:34:26	ga_s2am_ard_3-2-1_51JVN_2023-12-26_final.stac-item
2023-12-26 11:34:29	ga_s2am_ard_3-2-1_51JUN_2023-12-26_final.stac-item
2024-01-02 11:24:52	ga_s2am_ard_3-2-1_51JXL_2024-01-02_final.stac-item
2024-01-08 11:44:26	ga_s2am_ard_3-2-1_50JRT_2024-01-08_final.stac-item
2024-01-22 11:25:02	ga_s2am_ard_3-2-1_51JXK_2024-01-22_final.stac-item
2024-01-25 11:34:19	ga_s2am_ard_3-2-1_51JWN_2024-01-25_final.stac-item
2024-01-28 11:44:25	ga_s2am_ard_3-2-1_50JRT_2024-01-28_final.stac-item
2024-03-11 11:54:05	ga_s2am_ard_3-2-1_50KPV_2024-03-11_final.stac-item
2024-03-31 11:53:10	ga_s2am_ard_3-2-1_50KRC_2024-03-31_final.stac-item
2024-04-14 11:36:48	ga_s2am_ard_3-2-1_51HTD_2024-04-14_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