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
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JDQ_2016-01-11_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KBA_2016-01-24_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JEL_2016-04-14_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KDE_2016-05-10_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KYU_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQL_2016-06-05_final.stac-item
2016-06-16 11:02:13	ga_s2am_ard_3-2-1_52KEC_2016-06-16_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KWA_2016-08-17_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPJ_2016-10-03_final.stac-item
2016-10-12 10:25:59	ga_s2am_ard_3-2-1_53HPB_2016-10-12_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KBU_2017-01-18_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTC_2017-02-10_final
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JKM_2017-04-17_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51JTK_2017-08-12_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JTH_2017-09-08_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-10-06_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGK_2017-10-07_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JCQ_2017-12-31_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXJ_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYK_2018-01-13_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51LWC_2018-02-15_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52LFL_2018-03-31_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDS_2018-06-06_final
2018-06-23 10:47:25	ga_s2am_ard_3-2-1_52JFL_2018-06-23_final
2018-07-18 11:34:46	ga_s2am_ard_3-2-1_51KVU_2018-07-18_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JCM_2018-08-05_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_50KKB_2018-08-16_final
2018-08-22 10:47:24	ga_s2am_ard_3-2-1_52JGL_2018-08-22_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNQ_2018-09-26_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVJ_2018-10-03_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_52LBK_2018-10-23_final
2019-01-18 11:24:11	ga_s2am_ard_3-2-1_51KWP_2019-01-18_final
2019-03-08 11:55:50	ga_s2am_ard_3-2-1_50JLN_2019-03-08_final
2019-03-25 11:43:42	ga_s2am_ard_3-2-1_51KUR_2019-03-25_final
2019-03-31 10:26:50	ga_s2am_ard_3-2-1_53HPB_2019-03-31_final
2019-04-22 11:06:27	ga_s2am_ard_3-2-1_52HBK_2019-04-22_final
2019-08-16 11:24:07	ga_s2am_ard_3-2-1_51KZP_2019-08-16_final
2019-09-01 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-01_final
2019-09-29 11:05:22	ga_s2am_ard_3-2-1_52JFN_2019-09-29_final
2019-10-25 11:23:29	ga_s2am_ard_3-2-1_52KBB_2019-10-25_final
2019-12-08 11:05:49	ga_s2am_ard_3-2-1_52JCM_2019-12-08_final
2019-12-14 11:25:08	ga_s2am_ard_3-2-1_51JWK_2019-12-14_final
2020-01-13 11:24:13	ga_s2am_ard_3-2-1_51JZN_2020-01-13_final
2020-02-08 11:45:17	ga_s2am_ard_3-2-1_50JNQ_2020-02-08_final
2020-03-18 10:36:28	ga_s2am_ard_3-2-1_53HPC_2020-03-18_final
2020-03-20 11:16:33	ga_s2am_ard_3-2-1_51HYD_2020-03-20_final
2020-05-19 11:12:58	ga_s2am_ard_3-2-1_52KCD_2020-05-19_final
2020-05-22 11:22:21	ga_s2am_ard_3-2-1_52KDF_2020-05-22_final
2020-08-09 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-08-09_final
2020-10-07 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-10-07_final
2020-11-14 11:46:23	ga_s2am_ard_3-2-1_50JPL_2020-11-14_final
2020-12-08 11:23:40	ga_s2am_ard_3-2-1_51KXR_2020-12-08_final
2020-12-12 11:01:14	ga_s2am_ard_3-2-1_52LGK_2020-12-12_final
2020-12-18 11:23:05	ga_s2am_ard_3-2-1_52KCC_2020-12-18_final
2021-01-27 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-01-27_final
2021-04-13 11:43:16	ga_s2am_ard_3-2-1_50KQC_2021-04-13_final
2021-04-19 12:05:59	ga_s2am_ard_3-2-1_50JLM_2021-04-19_final
2021-05-07 11:24:21	ga_s2am_ard_3-2-1_51JYN_2021-05-07_final
2021-08-13 10:46:27	ga_s2am_ard_3-2-1_53HLD_2021-08-13_final
2021-10-09 10:36:51	ga_s2am_ard_3-2-1_53HPB_2021-10-09_final
2021-10-31 11:14:33	ga_s2am_ard_3-2-1_51JYN_2021-10-31_final
2021-10-31 11:14:36	ga_s2am_ard_3-2-1_52JDS_2021-10-31_final
2021-11-02 11:56:15	ga_s2am_ard_3-2-1_50JLM_2021-11-02_final
2021-12-04 10:55:56	ga_s2am_ard_3-2-1_52JGL_2021-12-04_final
2021-12-17 11:00:45	ga_s2am_ard_3-2-1_52LHM_2021-12-17_final
2022-01-25 11:32:29	ga_s2am_ard_3-2-1_51KWA_2022-01-25_final
2022-01-29 11:11:12	ga_s2am_ard_3-2-1_52LGK_2022-01-29_final
2022-02-01 11:22:33	ga_s2am_ard_3-2-1_52KCE_2022-02-01_final
2022-02-27 11:42:02	ga_s2am_ard_3-2-1_51LVC_2022-02-27_final
2022-03-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-03-05_final
2022-03-25 12:04:49	ga_s2am_ard_3-2-1_49JGN_2022-03-25_final
2022-04-02 11:25:48	ga_s2am_ard_3-2-1_51JWH_2022-04-02_final
2022-04-28 11:43:23	ga_s2am_ard_3-2-1_51KTT_2022-04-28_final
2022-05-11 11:54:48	ga_s2am_ard_3-2-1_50JLT_2022-05-11_final
2022-05-31 11:56:26	ga_s2am_ard_3-2-1_50JNL_2022-05-31_final
2022-06-01 11:25:14	ga_s2am_ard_3-2-1_51JYK_2022-06-01_final
2022-06-18 11:14:43	ga_s2am_ard_3-2-1_52JDS_2022-06-18_final
2022-09-16 11:16:29	ga_s2am_ard_3-2-1_52HBK_2022-09-16_final.stac-item
2022-10-02 11:36:06	ga_s2am_ard_3-2-1_51JUG_2022-10-02_final.stac-item
2022-11-21 11:34:37	ga_s2am_ard_3-2-1_50JRT_2022-11-21_final.stac-item
2022-12-28 11:22:11	ga_s2am_ard_3-2-1_51KYB_2022-12-28_final.stac-item
2022-12-31 11:31:04	ga_s2am_ard_3-2-1_52LBL_2022-12-31_final.stac-item
2023-01-07 11:21:08	ga_s2am_ard_3-2-1_52LBL_2023-01-07_nrt.stac-item
2023-01-17 11:21:11	ga_s2am_ard_3-2-1_52LBL_2023-01-17_nrt.stac-item
2023-01-26 11:54:23	ga_s2am_ard_3-2-1_50KMU_2023-01-26_final.stac-item
2023-01-27 11:26:45	ga_s2am_ard_3-2-1_51HUD_2023-01-27_final.stac-item
2023-02-07 10:55:04	ga_s2am_ard_3-2-1_52JGP_2023-02-07_final.stac-item
2023-03-24 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-03-24_final.stac-item
2023-04-05 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-04-05_final.stac-item
2023-04-14 11:11:01	ga_s2am_ard_3-2-1_52LFL_2023-04-14_final.stac-item
2023-06-19 11:34:53	ga_s2am_ard_3-2-1_50JRS_2023-06-19_final.stac-item
2023-06-19 11:35:20	ga_s2am_ard_3-2-1_51JUK_2023-06-19_final.stac-item
2023-06-26 11:22:55	ga_s2am_ard_3-2-1_52KBD_2023-06-26_final.stac-item
2023-07-03 11:15:17	ga_s2am_ard_3-2-1_52JDP_2023-07-03_final.stac-item
2023-07-12 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2023-07-12_final.stac-item
2023-11-05 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-11-05_final.stac-item
2024-01-09 11:11:35	ga_s2am_ard_3-2-1_52LGH_2024-01-09_final.stac-item
2024-01-26 11:02:56	ga_s2am_ard_3-2-1_52KFC_2024-01-26_final.stac-item
2024-02-23 10:26:48	ga_s2am_ard_3-2-1_53HPB_2024-02-23_final.stac-item
2024-02-26 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2024-02-26_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