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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JZN_2015-11-25_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KDC_2015-12-22_final.stac-item
2016-03-18 11:00:37	ga_s2am_ard_3-2-1_52LGM_2016-03-18_final.stac-item
2016-04-07 11:02:08	ga_s2am_ard_3-2-1_52KEU_2016-04-07_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-25_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JUH_2016-06-05_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JWN_2016-06-25_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKB_2016-08-26_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JFS_2016-09-01_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDM_2016-12-13_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52HBK_2016-12-26_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KFE_2017-01-15_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_50KKV_2017-02-02_final
2017-08-28 10:23:07	ga_s2am_ard_3-2-1_53HPB_2017-08-28_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KXQ_2017-09-08_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KVU_2017-12-10_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KEA_2018-01-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXM_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYJ_2018-01-13_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTL_2018-02-25_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50JQL_2018-05-06_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JCM_2018-06-19_final
2018-08-25 10:57:15	ga_s2am_ard_3-2-1_52JDL_2018-08-25_final
2018-11-07 10:45:56	ga_s2am_ard_3-2-1_52JGL_2018-11-07_final
2018-11-24 10:36:51	ga_s2am_ard_3-2-1_53HPA_2018-11-24_final
2018-11-26 11:16:18	ga_s2am_ard_3-2-1_51HWE_2018-11-26_final
2019-01-19 10:55:09	ga_s2am_ard_3-2-1_52JGP_2019-01-19_final
2019-01-25 11:16:37	ga_s2am_ard_3-2-1_51HXD_2019-01-25_final
2019-01-30 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-30_final
2019-06-24 11:14:45	ga_s2am_ard_3-2-1_51JYM_2019-06-24_final
2019-09-11 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-09-11_final
2019-09-27 10:26:41	ga_s2am_ard_3-2-1_53HNC_2019-09-27_final
2019-12-21 11:16:02	ga_s2am_ard_3-2-1_51JYF_2019-12-21_final
2020-03-29 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2020-03-29_final
2020-04-06 11:04:58	ga_s2am_ard_3-2-1_52JEQ_2020-04-06_final
2020-04-26 11:03:55	ga_s2am_ard_3-2-1_52KDV_2020-04-26_final
2020-05-24 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-05-24_final
2020-05-29 11:14:00	ga_s2am_ard_3-2-1_52KBV_2020-05-29_final
2020-06-11 11:25:23	ga_s2am_ard_3-2-1_51JVK_2020-06-11_final
2020-06-18 11:10:31	ga_s2am_ard_3-2-1_52LHN_2020-06-18_final
2020-08-09 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-09_final
2020-08-20 11:25:19	ga_s2am_ard_3-2-1_51JWK_2020-08-20_final
2020-08-21 10:56:02	ga_s2am_ard_3-2-1_52JGL_2020-08-21_final
2020-11-10 10:26:51	ga_s2am_ard_3-2-1_53HQB_2020-11-10_final
2021-01-14 11:16:06	ga_s2am_ard_3-2-1_52JBL_2021-01-14_final
2021-01-16 11:53:11	ga_s2am_ard_3-2-1_50KRC_2021-01-16_final
2021-01-23 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-01-23_final
2021-02-02 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-02-02_final
2021-02-02 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-02-02_final
2021-02-03 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-02-03_final
2021-02-10 11:01:59	ga_s2am_ard_3-2-1_52KGG_2021-02-10_final
2021-02-11 10:36:34	ga_s2am_ard_3-2-1_53HNC_2021-02-11_final
2021-02-19 11:34:46	ga_s2am_ard_3-2-1_50JRS_2021-02-19_final
2021-03-06 10:45:29	ga_s2am_ard_3-2-1_53JKH_2021-03-06_final
2021-03-15 11:12:05	ga_s2am_ard_3-2-1_52KDG_2021-03-15_final
2021-05-23 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-05-23_final
2021-05-30 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-05-30_final
2021-06-02 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-06-02_final
2021-06-29 11:37:03	ga_s2am_ard_3-2-1_51HTC_2021-06-29_final
2021-07-21 10:36:35	ga_s2am_ard_3-2-1_53HPC_2021-07-21_final
2021-07-26 11:21:35	ga_s2am_ard_3-2-1_52LDJ_2021-07-26_final
2021-08-17 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-08-17_final
2021-08-21 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-21_final
2022-01-25 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-01-25_final
2022-01-29 11:12:53	ga_s2am_ard_3-2-1_52KCD_2022-01-29_final
2022-02-01 11:23:25	ga_s2am_ard_3-2-1_51KYS_2022-02-01_final
2022-04-16 11:01:53	ga_s2am_ard_3-2-1_52LFH_2022-04-16_final
2022-06-11 11:23:05	ga_s2am_ard_3-2-1_51KYU_2022-06-11_final
2022-06-11 11:23:12	ga_s2am_ard_3-2-1_52KCC_2022-06-11_final
2022-07-22 10:56:05	ga_s2am_ard_3-2-1_53JKF_2022-07-22_final
2022-09-09 11:24:34	ga_s2am_ard_3-2-1_51JYN_2022-09-09_final.stac-item
2022-09-20 10:56:12	ga_s2am_ard_3-2-1_52JEL_2022-09-20_final.stac-item
2022-10-03 11:03:42	ga_s2am_ard_3-2-1_52KEA_2022-10-03_final.stac-item
2022-11-24 11:43:03	ga_s2am_ard_3-2-1_50KRD_2022-11-24_final.stac-item
2022-12-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2022-12-20_final.stac-item
2023-01-03 11:42:08	ga_s2am_ard_3-2-1_51KWB_2023-01-03_final.stac-item
2023-01-08 10:54:35	ga_s2am_ard_3-2-1_52JGS_2023-01-08_final.stac-item
2023-01-17 11:25:34	ga_s2am_ard_3-2-1_51JXH_2023-01-17_final.stac-item
2023-01-19 10:26:31	ga_s2am_ard_3-2-1_53HPC_2023-01-19_final.stac-item
2023-01-27 11:24:49	ga_s2am_ard_3-2-1_51JYL_2023-01-27_final.stac-item
2023-01-31 11:02:46	ga_s2am_ard_3-2-1_52KFD_2023-01-31_final.stac-item
2023-04-03 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-04-03_final.stac-item
2023-04-13 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-04-13_final.stac-item
2023-04-13 11:44:16	ga_s2am_ard_3-2-1_50KRU_2023-04-13_final.stac-item
2023-04-14 11:10:25	ga_s2am_ard_3-2-1_52LHN_2023-04-14_final.stac-item
2023-05-04 11:11:07	ga_s2am_ard_3-2-1_52LEL_2023-05-04_final.stac-item
2023-06-07 10:53:50	ga_s2am_ard_3-2-1_52KGV_2023-06-07_final.stac-item
2023-06-15 11:56:22	ga_s2am_ard_3-2-1_50JNL_2023-06-15_final.stac-item
2023-06-19 11:35:41	ga_s2am_ard_3-2-1_50JQP_2023-06-19_final.stac-item
2023-09-23 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-09-23_final.stac-item
2023-09-23 11:56:24	ga_s2am_ard_3-2-1_50JML_2023-09-23_final.stac-item
2024-02-21 11:21:08	ga_s2am_ard_3-2-1_51LZF_2024-02-21_final.stac-item
2024-03-01 10:16:52	ga_s2am_ard_3-2-1_53HQB_2024-03-01_final.stac-item
2024-03-05 11:32:47	ga_s2am_ard_3-2-1_51KVV_2024-03-05_final.stac-item
2024-03-05 11:35:51	ga_s2am_ard_3-2-1_50JQN_2024-03-05_final.stac-item
2024-03-08 11:44:31	ga_s2am_ard_3-2-1_51JTN_2024-03-08_final.stac-item
2024-03-08 11:44:35	ga_s2am_ard_3-2-1_50JQT_2024-03-08_final.stac-item
2024-03-26 11:04:44	ga_s2am_ard_3-2-1_52JFR_2024-03-26_final.stac-item
2024-03-31 10:16:51	ga_s2am_ard_3-2-1_53HQB_2024-03-31_final.stac-item
2024-04-24 11:36:16	ga_s2am_ard_3-2-1_51JUF_2024-04-24_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