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
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KWP_2016-04-23_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-25_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQJ_2016-07-28_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KRD_2016-09-26_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KNC_2016-10-02_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMJ_2016-11-28_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-08-31_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-10-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HUD_2017-12-17_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KLB_2018-01-05_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KRA_2018-02-18_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_51JYN_2018-04-20_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVP_2018-04-26_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50KQD_2018-07-21_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KVS_2018-09-23_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUS_2018-10-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVU_2018-10-13_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUR_2018-11-05_final
2018-12-25 11:42:20	ga_s2am_ard_3-2-1_51KVA_2018-12-25_final
2018-12-25 11:42:34	ga_s2am_ard_3-2-1_51KVV_2018-12-25_final
2019-01-31 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2019-01-31_final
2019-03-02 11:32:09	ga_s2am_ard_3-2-1_51KWB_2019-03-02_final
2019-03-24 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-03-24_final
2019-03-31 12:06:04	ga_s2am_ard_3-2-1_50JLM_2019-03-31_final
2019-05-01 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-05-01_final
2019-05-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-05-11_final
2019-05-30 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-05-30_final.stac-item
2019-06-30 11:34:19	ga_s2am_ard_3-2-1_51KVP_2019-06-30_final
2019-07-17 11:24:24	ga_s2am_ard_3-2-1_51JZN_2019-07-17_final
2019-11-17 11:32:21	ga_s2am_ard_3-2-1_51KVB_2019-11-17_final
2019-12-17 11:34:05	ga_s2am_ard_3-2-1_51KWP_2019-12-17_final
2020-01-16 11:36:29	ga_s2am_ard_3-2-1_50HQK_2020-01-16_final
2020-02-08 11:46:18	ga_s2am_ard_3-2-1_50JML_2020-02-08_final
2020-02-15 11:33:09	ga_s2am_ard_3-2-1_51KVT_2020-02-15_final
2020-05-02 11:24:18	ga_s2am_ard_3-2-1_51KWP_2020-05-02_final
2020-05-04 12:04:46	ga_s2am_ard_3-2-1_50JKT_2020-05-04_final
2020-05-28 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-05-28_final
2020-06-04 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2020-06-04_final
2020-07-10 11:53:25	ga_s2am_ard_3-2-1_50KPC_2020-07-10_final
2020-08-12 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-12_final
2020-08-13 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-08-13_final
2020-12-08 11:26:03	ga_s2am_ard_3-2-1_51JUG_2020-12-08_final
2020-12-27 11:53:17	ga_s2am_ard_3-2-1_50KQC_2020-12-27_final
2021-01-03 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-01-03_final
2021-01-20 11:34:33	ga_s2am_ard_3-2-1_51JUN_2021-01-20_final
2021-01-23 11:42:57	ga_s2am_ard_3-2-1_51KVU_2021-01-23_final
2021-01-23 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-01-23_final
2021-02-26 11:25:13	ga_s2am_ard_3-2-1_51JWK_2021-02-26_final
2021-03-01 11:35:12	ga_s2am_ard_3-2-1_51JVK_2021-03-01_final
2021-03-04 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-03-04_final
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final
2021-07-02 11:44:00	ga_s2am_ard_3-2-1_51KUQ_2021-07-02_final
2021-07-12 11:43:46	ga_s2am_ard_3-2-1_51KUR_2021-07-12_final
2021-08-11 11:42:48	ga_s2am_ard_3-2-1_51KUV_2021-08-11_final
2021-09-10 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-09-10_final
2021-09-10 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-09-10_final
2021-09-17 11:33:36	ga_s2am_ard_3-2-1_51KUS_2021-09-17_final
2021-10-10 11:42:18	ga_s2am_ard_3-2-1_51KVB_2021-10-10_final
2021-10-20 11:42:22	ga_s2am_ard_3-2-1_51KUB_2021-10-20_final.stac-item
2021-11-02 11:56:30	ga_s2am_ard_3-2-1_50JLL_2021-11-02_final
2021-11-19 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-11-19_final
2021-12-29 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-12-29_final
2022-01-05 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2022-01-05_final
2022-01-08 11:42:16	ga_s2am_ard_3-2-1_51KVB_2022-01-08_final
2022-01-18 11:43:29	ga_s2am_ard_3-2-1_51KUS_2022-01-18_final
2022-03-06 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-03-06_final
2022-04-04 12:03:46	ga_s2am_ard_3-2-1_50KKB_2022-04-04_final
2022-04-18 11:43:33	ga_s2am_ard_3-2-1_51KUS_2022-04-18_final
2022-04-21 11:53:29	ga_s2am_ard_3-2-1_50KNC_2022-04-21_final
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-04-28 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-04-28_final
2022-05-21 11:52:26	ga_s2am_ard_3-2-1_50KQG_2022-05-21_final.stac-item
2022-05-29 11:17:06	ga_s2am_ard_3-2-1_51HWC_2022-05-29_final.stac-item
2022-07-27 11:44:08	ga_s2am_ard_3-2-1_51KUQ_2022-07-27_final
2022-09-04 12:14:06	ga_s2am_ard_3-2-1_50KKA_2022-09-04_final.stac-item
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-10-18 11:53:20	ga_s2am_ard_3-2-1_50KQC_2022-10-18_final.stac-item
2022-11-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2022-11-25_final.stac-item
2022-12-04 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-12-04_final.stac-item
2023-01-23 11:42:38	ga_s2am_ard_3-2-1_51KVV_2023-01-23_final.stac-item
2023-01-27 11:24:24	ga_s2am_ard_3-2-1_51JXN_2023-01-27_final.stac-item
2023-02-09 11:34:13	ga_s2am_ard_3-2-1_51KVP_2023-02-09_final.stac-item
2023-06-02 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-02_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_50KKB_2023-07-18_final.stac-item
2023-08-01 11:42:22	ga_s2am_ard_3-2-1_51KUB_2023-08-01_final.stac-item
2023-08-01 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-08-01_final.stac-item
2023-09-07 11:36:43	ga_s2am_ard_3-2-1_50HPK_2023-09-07_final.stac-item
2023-09-14 11:26:37	ga_s2am_ard_3-2-1_51HUE_2023-09-14_final.stac-item
2023-10-31 11:14:23	ga_s2am_ard_3-2-1_51JZN_2023-10-31_final.stac-item
2023-11-12 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-11-12_final.stac-item
2023-11-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2023-11-28_final.stac-item
2023-12-09 11:42:58	ga_s2am_ard_3-2-1_50KRD_2023-12-09_final.stac-item
2023-12-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-12-18_final.stac-item
2023-12-19 11:42:24	ga_s2am_ard_3-2-1_51KVA_2023-12-19_final.stac-item
2023-12-29 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-12-29_final.stac-item
2023-12-29 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2023-12-29_final.stac-item
2024-02-03 12:03:55	ga_s2am_ard_3-2-1_49KHR_2024-02-03_final.stac-item
2024-03-21 11:53:22	ga_s2am_ard_3-2-1_50KPC_2024-03-21_final.stac-item
2024-04-20 11:53:24	ga_s2am_ard_3-2-1_50KPC_2024-04-20_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