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
2015-09-23 11:12:18	ga_s2am_ard_3-2-1_52KBC_2015-09-23_final.stac-item
2016-07-07 10:34:31	ga_s2am_ard_3-2-1_53JQK_2016-07-07_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JZM_2017-01-08_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWR_2017-02-10_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51KZQ_2017-07-04_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_52KBV_2017-08-06_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JFS_2017-10-06_final
2017-10-30 10:32:32	ga_s2am_ard_3-2-1_53JNF_2017-10-30_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVS_2017-11-27_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HTC_2017-12-04_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50KLB_2017-12-16_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWQ_2018-02-25_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KXU_2018-04-26_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51LWC_2018-04-26_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KYU_2018-05-13_final
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52KGC_2018-06-16_final
2018-06-20 10:40:49	ga_s2am_ard_3-2-1_53JKF_2018-06-20_final
2018-07-15 11:26:22	ga_s2am_ard_3-2-1_51KYT_2018-07-15_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_52KDB_2018-07-19_final
2018-07-23 10:47:26	ga_s2am_ard_3-2-1_52JFT_2018-07-23_final
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KXQ_2018-08-01_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KVU_2018-09-03_final
2018-10-04 10:57:12	ga_s2am_ard_3-2-1_52KEB_2018-10-04_final
2019-01-25 11:10:43	ga_s2am_ard_3-2-1_52LFM_2019-01-25_final.stac-item
2019-03-01 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-01_final
2019-04-10 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final.stac-item
2019-04-12 11:03:00	ga_s2am_ard_3-2-1_52KGC_2019-04-12_final
2019-05-04 11:42:46	ga_s2am_ard_3-2-1_51KVV_2019-05-04_final
2019-05-13 10:34:22	ga_s2am_ard_3-2-1_53JQM_2019-05-13_final
2019-06-14 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2019-06-14_final
2019-06-20 11:37:01	ga_s2am_ard_3-2-1_51HUC_2019-06-20_final
2019-09-12 11:13:10	ga_s2am_ard_3-2-1_52KCC_2019-09-12_final
2019-09-20 10:34:32	ga_s2am_ard_3-2-1_53JQL_2019-09-20_final
2019-09-28 11:33:54	ga_s2am_ard_3-2-1_51KXQ_2019-09-28_final
2019-10-18 11:33:05	ga_s2am_ard_3-2-1_51KYT_2019-10-18_final
2019-10-22 11:13:07	ga_s2am_ard_3-2-1_52KDC_2019-10-22_final
2019-11-18 11:03:38	ga_s2am_ard_3-2-1_52KEA_2019-11-18_final
2019-12-27 11:32:49	ga_s2am_ard_3-2-1_51KXU_2019-12-27_final
2020-02-07 12:15:12	ga_s2am_ard_3-2-1_49JGK_2020-02-07_final
2020-03-31 10:45:10	ga_s2am_ard_3-2-1_53JKJ_2020-03-31_final
2020-04-05 11:32:51	ga_s2am_ard_3-2-1_51KXU_2020-04-05_final
2020-04-17 10:35:44	ga_s2am_ard_3-2-1_53JQF_2020-04-17_final
2020-05-23 10:56:02	ga_s2am_ard_3-2-1_52JGL_2020-05-23_final
2020-06-11 11:21:38	ga_s2am_ard_3-2-1_52LDJ_2020-06-11_final
2020-06-23 10:26:56	ga_s2am_ard_3-2-1_53HPB_2020-06-23_final
2020-06-28 11:13:13	ga_s2am_ard_3-2-1_52KCC_2020-06-28_final
2020-07-06 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-07-06_final
2020-08-13 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-08-13_final
2020-08-23 11:33:04	ga_s2am_ard_3-2-1_51KWU_2020-08-23_final
2020-09-16 11:14:33	ga_s2am_ard_3-2-1_51JYN_2020-09-16_final
2020-10-31 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-10-31_final
2020-11-21 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-11-21_final
2020-12-04 11:47:13	ga_s2am_ard_3-2-1_50HLH_2020-12-04_final
2021-01-10 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-01-10_final
2021-01-20 11:33:39	ga_s2am_ard_3-2-1_51KXR_2021-01-20_final
2021-01-22 10:34:30	ga_s2am_ard_3-2-1_53JPM_2021-01-22_final
2021-02-09 11:32:57	ga_s2am_ard_3-2-1_51KWU_2021-02-09_final
2021-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-05-10_final
2021-05-24 11:13:30	ga_s2am_ard_3-2-1_52KEA_2021-05-24_final
2021-07-28 10:26:44	ga_s2am_ard_3-2-1_53HNC_2021-07-28_final
2021-07-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-07-28_final
2021-08-08 11:32:43	ga_s2am_ard_3-2-1_51KXV_2021-08-08_final
2021-10-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2021-10-26_final
2021-11-21 10:44:21	ga_s2am_ard_3-2-1_53JNM_2021-11-21_final
2021-11-26 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-11-26_final
2021-11-28 10:34:39	ga_s2am_ard_3-2-1_53JNL_2021-11-28_final
2021-12-09 11:40:56	ga_s2am_ard_3-2-1_51LWG_2021-12-09_final.stac-item
2021-12-29 11:43:20	ga_s2am_ard_3-2-1_51KVT_2021-12-29_final
2022-05-09 11:13:41	ga_s2am_ard_3-2-1_52KCA_2022-05-09_final
2022-05-10 10:45:59	ga_s2am_ard_3-2-1_53JLF_2022-05-10_final
2022-06-21 11:24:27	ga_s2am_ard_3-2-1_51KWP_2022-06-21_final
2022-07-04 11:33:11	ga_s2am_ard_3-2-1_51KWU_2022-07-04_final
2022-07-05 11:03:11	ga_s2am_ard_3-2-1_52KGC_2022-07-05_final
2022-07-14 11:34:12	ga_s2am_ard_3-2-1_51KVQ_2022-07-14_final
2022-07-17 11:43:37	ga_s2am_ard_3-2-1_51KVS_2022-07-17_final
2022-08-17 11:13:38	ga_s2am_ard_3-2-1_52KBB_2022-08-17_final
2022-08-20 11:24:17	ga_s2am_ard_3-2-1_51KZP_2022-08-20_final
2022-09-02 11:34:04	ga_s2am_ard_3-2-1_51KXQ_2022-09-02_final.stac-item
2022-09-09 11:26:55	ga_s2am_ard_3-2-1_51HVD_2022-09-09_final.stac-item
2022-11-12 11:01:25	ga_s2am_ard_3-2-1_52LGK_2022-11-12_final.stac-item
2022-11-15 11:16:29	ga_s2am_ard_3-2-1_51HXE_2022-11-15_final.stac-item
2022-12-30 10:26:41	ga_s2am_ard_3-2-1_53HQB_2022-12-30_final.stac-item
2023-01-13 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-01-13_final.stac-item
2023-02-12 11:43:27	ga_s2am_ard_3-2-1_51KUS_2023-02-12_final.stac-item
2023-06-06 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-06_final.stac-item
2023-08-02 11:13:24	ga_s2am_ard_3-2-1_52KDB_2023-08-02_final.stac-item
2023-08-08 11:33:35	ga_s2am_ard_3-2-1_51KVS_2023-08-08_final.stac-item
2023-08-28 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-08-28_final.stac-item
2023-09-10 11:44:18	ga_s2am_ard_3-2-1_51KUP_2023-09-10_final.stac-item
2023-10-04 11:23:15	ga_s2am_ard_3-2-1_51KXT_2023-10-04_final.stac-item
2023-10-10 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-10-10_final.stac-item
2023-10-22 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-10-22_final.stac-item
2023-10-26 10:25:05	ga_s2am_ard_3-2-1_53JQJ_2023-10-26_final.stac-item
2023-11-01 10:45:43	ga_s2am_ard_3-2-1_53JKG_2023-11-01_final.stac-item
2024-02-02 10:55:41	ga_s2am_ard_3-2-1_52JFM_2024-02-02_final.stac-item
2024-02-14 11:32:51	ga_s2am_ard_3-2-1_51KWU_2024-02-14_final.stac-item
2024-02-28 11:13:47	ga_s2am_ard_3-2-1_52KDV_2024-02-28_final.stac-item
2024-03-07 10:36:25	ga_s2am_ard_3-2-1_53HMD_2024-03-07_final.stac-item
2024-03-22 11:23:58	ga_s2am_ard_3-2-1_51KXQ_2024-03-22_final.stac-item
2024-04-03 10:24:38	ga_s2am_ard_3-2-1_53JQL_2024-04-03_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