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
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53JQH_2015-10-21_final.stac-item
2015-11-13 10:42:13	ga_s2am_ard_3-2-1_53JNL_2015-11-13_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JNN_2016-03-02_final.stac-item
2016-06-14 10:20:02	ga_s2am_ard_3-2-1_53JQL_2016-06-14_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JQL_2016-07-07_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KVA_2016-07-08_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54HVD_2016-07-18_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKA_2016-08-26_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-09-22_final.stac-item
2016-11-26 11:10:35	ga_s2am_ard_3-2-1_52LHM_2016-11-26_final.stac-item
2017-02-23 10:06:24	ga_s2am_ard_3-2-1_54HWF_2017-02-23_final
2017-04-06 10:43:05	ga_s2am_ard_3-2-1_53JMN_2017-04-06_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53HLE_2017-05-06_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HWE_2017-09-15_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMJ_2017-12-10_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_52JFQ_2017-12-25_final
2018-01-15 10:16:58	ga_s2am_ard_3-2-1_54KVG_2018-01-15_final
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_54KUV_2018-01-18_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JGP_2018-02-13_final
2018-02-24 10:17:03	ga_s2am_ard_3-2-1_54KYF_2018-02-24_final
2018-03-03 10:07:01	ga_s2am_ard_3-2-1_54JYP_2018-03-03_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHP_2018-04-05_final
2018-05-09 10:02:56	ga_s2am_ard_3-2-1_54HVD_2018-05-09_final
2018-06-11 10:07:04	ga_s2am_ard_3-2-1_54KYB_2018-06-11_final
2018-07-22 11:17:00	ga_s2am_ard_3-2-1_51KXT_2018-07-22_final
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_54HTH_2018-08-13_final
2018-09-13 11:26:17	ga_s2am_ard_3-2-1_51KVT_2018-09-13_final
2018-10-14 10:57:13	ga_s2am_ard_3-2-1_52KDU_2018-10-14_final
2018-10-20 09:41:06	ga_s2am_ard_3-2-1_54HYB_2018-10-20_final
2018-11-05 09:57:03	ga_s2am_ard_3-2-1_54HYE_2018-11-05_final
2018-12-24 10:36:38	ga_s2am_ard_3-2-1_53HPB_2018-12-24_final
2019-02-10 11:35:38	ga_s2am_ard_3-2-1_51JVH_2019-02-10_final
2019-03-06 11:11:28	ga_s2am_ard_3-2-1_52LEJ_2019-03-06_final
2019-03-24 10:34:35	ga_s2am_ard_3-2-1_53JPL_2019-03-24_final
2019-03-28 10:13:11	ga_s2am_ard_3-2-1_54KXA_2019-03-28_final
2019-04-21 11:32:25	ga_s2am_ard_3-2-1_51KYA_2019-04-21_final
2019-07-07 11:23:40	ga_s2am_ard_3-2-1_52KBA_2019-07-07_final
2019-08-01 10:34:37	ga_s2am_ard_3-2-1_53JQL_2019-08-01_final
2019-08-18 10:26:33	ga_s2am_ard_3-2-1_54HTH_2019-08-18_final
2019-08-23 11:16:46	ga_s2am_ard_3-2-1_51HWD_2019-08-23_final
2019-09-10 10:36:49	ga_s2am_ard_3-2-1_53HNB_2019-09-10_final
2019-09-28 11:32:21	ga_s2am_ard_3-2-1_51KVB_2019-09-28_final
2019-10-11 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-10-11_final
2019-10-22 11:13:36	ga_s2am_ard_3-2-1_52KEA_2019-10-22_final
2019-12-02 10:45:24	ga_s2am_ard_3-2-1_53JLH_2019-12-02_final
2019-12-04 11:26:56	ga_s2am_ard_3-2-1_51HVC_2019-12-04_final
2019-12-07 11:36:21	ga_s2am_ard_3-2-1_51HVE_2019-12-07_final
2020-01-21 10:42:26	ga_s2am_ard_3-2-1_53KQU_2020-01-21_final
2020-01-26 09:57:39	ga_s2am_ard_3-2-1_54HWC_2020-01-26_final
2020-03-25 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2020-03-25_final
2020-04-07 10:31:46	ga_s2am_ard_3-2-1_54KTG_2020-04-07_final
2020-04-10 10:41:58	ga_s2am_ard_3-2-1_53KRA_2020-04-10_final
2020-05-14 10:26:51	ga_s2am_ard_3-2-1_53HQB_2020-05-14_final
2020-11-18 11:22:36	ga_s2am_ard_3-2-1_52KCE_2020-11-18_final
2020-12-09 10:55:28	ga_s2am_ard_3-2-1_52JFN_2020-12-09_final
2020-12-10 10:24:18	ga_s2am_ard_3-2-1_54JWR_2020-12-10_final
2020-12-16 10:40:47	ga_s2am_ard_3-2-1_53LPF_2020-12-16_final
2021-01-07 11:25:04	ga_s2am_ard_3-2-1_51JVL_2021-01-07_final
2021-01-11 11:04:56	ga_s2am_ard_3-2-1_52JCR_2021-01-11_final
2021-01-20 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-01-20_final
2021-01-30 09:57:12	ga_s2am_ard_3-2-1_54HXE_2021-01-30_final
2021-04-29 12:04:25	ga_s2am_ard_3-2-1_50KKU_2021-04-29_final
2021-06-16 11:24:05	ga_s2am_ard_3-2-1_52KBU_2021-06-16_final
2021-06-19 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-06-19_final
2021-07-12 11:46:00	ga_s2am_ard_3-2-1_51JTG_2021-07-12_final
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final
2021-08-19 11:02:57	ga_s2am_ard_3-2-1_52KHC_2021-08-19_final
2021-08-22 11:16:22	ga_s2am_ard_3-2-1_52HBK_2021-08-22_final
2021-09-07 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-09-07_final
2021-11-19 11:45:57	ga_s2am_ard_3-2-1_51JTG_2021-11-19_final
2022-02-01 11:21:21	ga_s2am_ard_3-2-1_52LCK_2022-02-01_final.stac-item
2022-02-08 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2022-02-08_final
2022-03-04 10:56:07	ga_s2am_ard_3-2-1_52JEL_2022-03-04_final
2022-03-17 11:03:02	ga_s2am_ard_3-2-1_52KGC_2022-03-17_final
2022-03-18 12:13:58	ga_s2am_ard_3-2-1_49KHR_2022-03-18_final
2022-03-26 11:36:32	ga_s2am_ard_3-2-1_50HQK_2022-03-26_final.stac-item
2022-05-11 10:15:23	ga_s2am_ard_3-2-1_54JUN_2022-05-11_final
2022-05-24 12:04:49	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-06-24 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-06-24_final
2022-07-03 10:24:43	ga_s2am_ard_3-2-1_54JUR_2022-07-03_final
2022-09-15 10:07:13	ga_s2am_ard_3-2-1_54HYE_2022-09-15_final.stac-item
2022-09-19 11:24:13	ga_s2am_ard_3-2-1_52KBU_2022-09-19_final.stac-item
2022-09-25 10:06:53	ga_s2am_ard_3-2-1_54HVG_2022-09-25_final.stac-item
2022-10-13 11:03:51	ga_s2am_ard_3-2-1_52KFV_2022-10-13_final.stac-item
2022-10-17 10:41:58	ga_s2am_ard_3-2-1_53KNB_2022-10-17_final.stac-item
2022-12-03 10:34:30	ga_s2am_ard_3-2-1_54JTR_2022-12-03_final.stac-item
2023-01-02 10:30:40	ga_s2am_ard_3-2-1_54LWL_2023-01-02_final.stac-item
2023-02-21 10:34:23	ga_s2am_ard_3-2-1_53JNM_2023-02-21_final.stac-item
2023-03-20 10:26:38	ga_s2am_ard_3-2-1_54HUG_2023-03-20_final.stac-item
2023-04-06 10:14:42	ga_s2am_ard_3-2-1_54JWQ_2023-04-06_final.stac-item
2023-05-03 10:07:16	ga_s2am_ard_3-2-1_54HVE_2023-05-03_final.stac-item
2023-08-01 10:07:42	ga_s2am_ard_3-2-1_54HXC_2023-08-01_final.stac-item
2023-08-05 11:22:32	ga_s2am_ard_3-2-1_51KYA_2023-08-05_final.stac-item
2023-10-19 10:33:31	ga_s2am_ard_3-2-1_53KRQ_2023-10-19_final.stac-item
2023-11-18 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-11-18_final.stac-item
2023-11-20 11:11:42	ga_s2am_ard_3-2-1_52LFH_2023-11-20_final.stac-item
2024-01-18 10:06:41	ga_s2am_ard_3-2-1_54HYF_2024-01-18_final.stac-item
2024-03-14 10:24:19	ga_s2am_ard_3-2-1_54JTS_2024-03-14_final.stac-item
2024-04-13 10:26:42	ga_s2am_ard_3-2-1_53HNC_2024-04-13_final.stac-item
2024-04-14 11:32:42	ga_s2am_ard_3-2-1_51KXV_2024-04-14_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