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
2016-04-05 10:17:42	ga_s2am_ard_3-2-1_53JRM_2016-04-05_final.stac-item
2016-04-05 10:24:40	ga_s2am_ard_3-2-1_53HNB_2016-04-05_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKM_2016-07-21_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KVT_2016-09-06_final.stac-item
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_53KPP_2017-02-15_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KYS_2017-07-17_final
2017-08-04 10:43:09	ga_s2am_ard_3-2-1_53KPP_2017-08-04_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51LYE_2017-09-28_final
2018-03-19 10:27:04	ga_s2am_ard_3-2-1_53KPP_2018-03-19_final
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQD_2018-04-22_final.stac-item
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_53JPL_2018-05-08_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53JRN_2018-05-28_final
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_53KQP_2018-06-27_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KUT_2018-06-28_final
2018-07-07 10:27:09	ga_s2am_ard_3-2-1_53KQP_2018-07-07_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KVT_2018-07-08_final
2018-08-26 10:27:07	ga_s2am_ard_3-2-1_53KQP_2018-08-26_final
2018-11-12 11:33:18	ga_s2am_ard_3-2-1_51KXS_2018-11-12_final
2018-12-02 11:32:46	ga_s2am_ard_3-2-1_51KXU_2018-12-02_final
2019-02-14 11:10:29	ga_s2am_ard_3-2-1_52LFN_2019-02-14_final.stac-item
2019-02-27 11:23:02	ga_s2am_ard_3-2-1_51KZT_2019-02-27_final
2019-04-08 11:23:11	ga_s2am_ard_3-2-1_51KYT_2019-04-08_final
2019-05-03 10:34:40	ga_s2am_ard_3-2-1_53JPL_2019-05-03_final
2019-05-14 11:43:28	ga_s2am_ard_3-2-1_51KVS_2019-05-14_final
2019-05-17 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-17_final.stac-item
2019-05-23 10:34:17	ga_s2am_ard_3-2-1_53JRM_2019-05-23_final
2019-06-07 11:22:58	ga_s2am_ard_3-2-1_51KYU_2019-06-07_final
2019-06-10 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-06-10_final
2019-07-12 10:34:23	ga_s2am_ard_3-2-1_53JQM_2019-07-12_final
2019-07-30 11:33:46	ga_s2am_ard_3-2-1_51KWR_2019-07-30_final
2019-08-29 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2019-08-29_final
2019-08-31 10:34:15	ga_s2am_ard_3-2-1_53JRM_2019-08-31_final
2019-09-05 11:23:13	ga_s2am_ard_3-2-1_51KXT_2019-09-05_final
2019-10-20 10:33:56	ga_s2am_ard_3-2-1_53KPP_2019-10-20_final
2019-11-16 10:26:34	ga_s2am_ard_3-2-1_53HQC_2019-11-16_final
2019-12-09 10:35:49	ga_s2am_ard_3-2-1_53JNF_2019-12-09_final
2020-01-02 10:16:46	ga_s2am_ard_3-2-1_53HQB_2020-01-02_final
2020-01-05 10:25:00	ga_s2am_ard_3-2-1_53JQJ_2020-01-05_final
2020-01-18 10:33:53	ga_s2am_ard_3-2-1_53JRN_2020-01-18_final
2020-02-27 10:34:09	ga_s2am_ard_3-2-1_53JRM_2020-02-27_final
2020-03-09 11:43:11	ga_s2am_ard_3-2-1_51KUT_2020-03-09_final
2020-05-12 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-05-12_final
2020-06-11 11:23:27	ga_s2am_ard_3-2-1_52KBB_2020-06-11_final
2020-06-18 11:16:47	ga_s2am_ard_3-2-1_51HXD_2020-06-18_final
2020-06-21 11:23:45	ga_s2am_ard_3-2-1_51KYR_2020-06-21_final
2020-07-03 10:24:23	ga_s2am_ard_3-2-1_53JRM_2020-07-03_final
2020-07-06 10:36:15	ga_s2am_ard_3-2-1_53HME_2020-07-06_final
2020-09-01 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-09-01_final
2020-09-04 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-09-04_final
2020-10-14 10:34:09	ga_s2am_ard_3-2-1_53JQN_2020-10-14_final
2020-10-29 11:23:01	ga_s2am_ard_3-2-1_51KYU_2020-10-29_final
2020-12-15 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2020-12-15_final
2021-03-21 11:32:13	ga_s2am_ard_3-2-1_51KWB_2021-03-21_final
2021-03-22 11:02:32	ga_s2am_ard_3-2-1_52KFE_2021-03-22_final
2021-05-21 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-05-21_final
2021-05-22 10:33:46	ga_s2am_ard_3-2-1_53KRP_2021-05-22_final
2021-05-27 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-05-27_final
2021-06-21 10:34:00	ga_s2am_ard_3-2-1_53JRN_2021-06-21_final
2021-06-24 10:45:56	ga_s2am_ard_3-2-1_53JLF_2021-06-24_final
2021-07-06 11:23:16	ga_s2am_ard_3-2-1_51KXT_2021-07-06_final
2021-07-08 10:24:21	ga_s2am_ard_3-2-1_53JRM_2021-07-08_final
2021-07-16 11:22:59	ga_s2am_ard_3-2-1_51KYU_2021-07-16_final
2021-08-01 11:43:06	ga_s2am_ard_3-2-1_51KTU_2021-08-01_final
2021-08-18 11:33:44	ga_s2am_ard_3-2-1_51KWR_2021-08-18_final
2021-09-14 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-09-14_final
2021-09-19 10:34:20	ga_s2am_ard_3-2-1_53JQM_2021-09-19_final
2021-11-03 11:23:32	ga_s2am_ard_3-2-1_51KXS_2021-11-03_final
2021-11-08 10:33:52	ga_s2am_ard_3-2-1_53KQP_2021-11-08_final
2021-11-26 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-11-26_final
2021-12-06 11:32:54	ga_s2am_ard_3-2-1_51KXU_2021-12-06_final
2021-12-18 10:34:18	ga_s2am_ard_3-2-1_53JQM_2021-12-18_final
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final
2022-01-03 10:50:43	ga_s2am_ard_3-2-1_53LMG_2022-01-03_final
2022-01-26 11:01:19	ga_s2am_ard_3-2-1_53LKE_2022-01-26_final
2022-02-07 11:42:56	ga_s2am_ard_3-2-1_51KVU_2022-02-07_final
2022-02-11 11:23:42	ga_s2am_ard_3-2-1_51KXR_2022-02-11_final
2022-04-05 11:33:03	ga_s2am_ard_3-2-1_51KYT_2022-04-05_final
2022-04-08 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-04-08_final
2022-05-12 11:23:14	ga_s2am_ard_3-2-1_51KYT_2022-05-12_final
2022-06-21 11:23:32	ga_s2am_ard_3-2-1_52KBB_2022-06-21_final
2022-07-06 10:34:31	ga_s2am_ard_3-2-1_53JQM_2022-07-06_final
2022-07-26 10:34:46	ga_s2am_ard_3-2-1_53JPL_2022-07-26_final
2022-09-15 11:43:21	ga_s2am_ard_3-2-1_51KVT_2022-09-15_final.stac-item
2022-11-28 11:23:25	ga_s2am_ard_3-2-1_51KYS_2022-11-28_final.stac-item
2023-01-07 11:23:38	ga_s2am_ard_3-2-1_51KYR_2023-01-07_final.stac-item
2023-01-30 11:33:21	ga_s2am_ard_3-2-1_51KXS_2023-01-30_final.stac-item
2023-03-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2023-03-11_final.stac-item
2023-05-10 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-05-10_final.stac-item
2023-07-09 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-07-09_final.stac-item
2023-09-17 11:33:31	ga_s2am_ard_3-2-1_51KWS_2023-09-17_final.stac-item
2023-11-15 10:25:09	ga_s2am_ard_3-2-1_53JQJ_2023-11-15_final.stac-item
2023-11-17 11:00:27	ga_s2am_ard_3-2-1_53LKH_2023-11-17_final.stac-item
2023-11-29 11:42:49	ga_s2am_ard_3-2-1_51KVU_2023-11-29_final.stac-item
2024-01-05 11:36:07	ga_s2am_ard_3-2-1_51JVF_2024-01-05_final.stac-item
2024-01-28 11:42:16	ga_s2am_ard_3-2-1_51KWA_2024-01-28_final.stac-item
2024-02-02 10:51:18	ga_s2am_ard_3-2-1_53LND_2024-02-02_final.stac-item
2024-02-06 10:33:49	ga_s2am_ard_3-2-1_53KPP_2024-02-06_final.stac-item
2024-02-11 11:23:18	ga_s2am_ard_3-2-1_51KZS_2024-02-11_final.stac-item
2024-03-07 10:34:15	ga_s2am_ard_3-2-1_53JRM_2024-03-07_final.stac-item
2024-05-04 11:33:40	ga_s2am_ard_3-2-1_51KVR_2024-05-04_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