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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JMT_2015-10-08_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HNG_2015-11-21_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KVA_2016-02-19_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KZR_2016-03-24_final.stac-item
2016-04-20 11:10:38	ga_s2am_ard_3-2-1_52LGM_2016-04-20_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HUC_2016-05-23_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JUF_2016-06-12_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JMH_2016-06-17_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_52JGM_2016-11-17_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HPG_2017-02-03_final.stac-item
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52JDL_2017-02-11_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-12_final
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KXT_2017-03-12_final
2017-05-22 11:02:14	ga_s2am_ard_3-2-1_52KGD_2017-05-22_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JXJ_2017-08-13_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52KEC_2017-09-02_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWQ_2017-09-28_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HUD_2017-09-28_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKN_2017-10-17_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKN_2018-04-12_final
2018-04-28 10:27:10	ga_s2am_ard_3-2-1_53HPC_2018-04-28_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51HUC_2018-05-16_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HPK_2018-06-28_final
2018-09-07 11:07:10	ga_s2am_ard_3-2-1_52LFL_2018-09-07_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KZU_2018-10-10_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUU_2018-11-05_final
2018-11-23 11:03:12	ga_s2am_ard_3-2-1_52KEB_2018-11-23_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-01-28 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-01-28_final
2019-05-03 10:36:06	ga_s2am_ard_3-2-1_53HPE_2019-05-03_final
2019-05-11 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-05-11_final
2019-06-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-06-06_final
2019-07-17 11:24:10	ga_s2am_ard_3-2-1_51KZP_2019-07-17_final
2019-08-26 11:23:41	ga_s2am_ard_3-2-1_51KYR_2019-08-26_final
2019-08-26 11:23:51	ga_s2am_ard_3-2-1_52KBV_2019-08-26_final
2019-09-02 11:14:50	ga_s2am_ard_3-2-1_52JCR_2019-09-02_final
2019-09-25 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2019-09-25_final
2019-09-25 11:22:53	ga_s2am_ard_3-2-1_51KZU_2019-09-25_final
2019-09-25 11:23:50	ga_s2am_ard_3-2-1_52KBV_2019-09-25_final
2019-10-02 11:10:27	ga_s2am_ard_3-2-1_52LHN_2019-10-02_final
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2020-01-23 11:23:07	ga_s2am_ard_3-2-1_51KXT_2020-01-23_final
2020-02-09 11:14:01	ga_s2am_ard_3-2-1_52KBU_2020-02-09_final
2020-02-22 11:23:05	ga_s2am_ard_3-2-1_51KYT_2020-02-22_final
2020-03-16 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2020-03-16_final
2020-04-08 11:43:01	ga_s2am_ard_3-2-1_50KRD_2020-04-08_final
2020-04-18 11:43:00	ga_s2am_ard_3-2-1_51KUU_2020-04-18_final
2020-05-04 12:04:31	ga_s2am_ard_3-2-1_50KKU_2020-05-04_final
2020-05-04 12:04:49	ga_s2am_ard_3-2-1_49JGN_2020-05-04_final
2020-06-01 11:26:24	ga_s2am_ard_3-2-1_51JUF_2020-06-01_final
2020-06-08 11:13:36	ga_s2am_ard_3-2-1_52KEA_2020-06-08_final
2020-06-24 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-06-24_final
2020-06-24 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-06-24_final
2020-09-26 11:10:48	ga_s2am_ard_3-2-1_52LGM_2020-09-26_final
2020-11-08 11:23:39	ga_s2am_ard_3-2-1_52KBA_2020-11-08_final
2020-11-17 11:53:20	ga_s2am_ard_3-2-1_50KQC_2020-11-17_final
2020-11-27 11:52:20	ga_s2am_ard_3-2-1_50KQG_2020-11-27_final.stac-item
2020-12-14 11:42:57	ga_s2am_ard_3-2-1_51KUU_2020-12-14_final
2020-12-15 11:10:59	ga_s2am_ard_3-2-1_52LFL_2020-12-15_final
2021-01-27 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-01-27_final
2021-03-25 11:11:46	ga_s2am_ard_3-2-1_52LEH_2021-03-25_final
2021-04-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-19_final
2021-05-11 11:02:54	ga_s2am_ard_3-2-1_52KHC_2021-05-11_final
2021-07-26 11:24:08	ga_s2am_ard_3-2-1_51KZP_2021-07-26_final
2021-09-11 11:11:34	ga_s2am_ard_3-2-1_52LEJ_2021-09-11_final
2021-10-28 11:03:21	ga_s2am_ard_3-2-1_52KFB_2021-10-28_final
2021-11-01 10:46:25	ga_s2am_ard_3-2-1_53HMD_2021-11-01_final
2021-11-03 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2021-11-03_final
2021-11-23 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-11-23_final
2021-12-19 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-12-19_final
2021-12-25 10:26:55	ga_s2am_ard_3-2-1_53HNB_2021-12-25_final
2021-12-30 11:11:38	ga_s2am_ard_3-2-1_52LDJ_2021-12-30_final
2021-12-30 11:17:00	ga_s2am_ard_3-2-1_51HWC_2021-12-30_final.stac-item
2022-03-02 10:17:08	ga_s2am_ard_3-2-1_53HQA_2022-03-02_final
2022-03-31 10:46:23	ga_s2am_ard_3-2-1_53HMD_2022-03-31_final
2022-04-01 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-04-01_final
2022-04-23 10:55:27	ga_s2am_ard_3-2-1_52JEP_2022-04-23_final
2022-05-27 10:36:43	ga_s2am_ard_3-2-1_53HNC_2022-05-27_final
2022-06-28 11:12:41	ga_s2am_ard_3-2-1_52KFE_2022-06-28_final
2022-08-07 11:13:41	ga_s2am_ard_3-2-1_52KEA_2022-08-07_final
2022-08-21 10:53:12	ga_s2am_ard_3-2-1_52KHC_2022-08-21_final
2022-09-09 11:25:35	ga_s2am_ard_3-2-1_51JXJ_2022-09-09_final.stac-item
2022-11-03 10:36:54	ga_s2am_ard_3-2-1_53HNB_2022-11-03_final.stac-item
2022-11-05 11:13:37	ga_s2am_ard_3-2-1_52KDA_2022-11-05_final.stac-item
2022-11-25 12:51:00	ga_s2am_ard_3-2-1_48LWP_2022-11-25_final.stac-item
2022-12-28 11:22:25	ga_s2am_ard_3-2-1_51KYA_2022-12-28_final.stac-item
2023-01-08 10:55:21	ga_s2am_ard_3-2-1_52JEP_2023-01-08_final.stac-item
2023-02-09 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-02-09_final.stac-item
2023-02-14 10:44:18	ga_s2am_ard_3-2-1_53JNM_2023-02-14_final.stac-item
2023-03-19 10:52:58	ga_s2am_ard_3-2-1_52KHC_2023-03-19_final.stac-item
2023-03-27 11:55:48	ga_s2am_ard_3-2-1_50JNN_2023-03-27_final.stac-item
2023-06-13 11:15:37	ga_s2am_ard_3-2-1_52JCN_2023-06-13_final.stac-item
2023-07-03 11:11:06	ga_s2am_ard_3-2-1_52LFL_2023-07-03_final.stac-item
2023-08-15 11:22:57	ga_s2am_ard_3-2-1_52KBD_2023-08-15_final.stac-item
2024-01-18 11:42:54	ga_s2am_ard_3-2-1_51KTU_2024-01-18_final.stac-item
2024-02-18 11:11:17	ga_s2am_ard_3-2-1_52LEK_2024-02-18_final.stac-item
2024-04-14 11:33:03	ga_s2am_ard_3-2-1_51KVU_2024-04-14_final.stac-item
2024-04-23 10:26:57	ga_s2am_ard_3-2-1_53HNB_2024-04-23_final.stac-item
2024-05-03 12:03:47	ga_s2am_ard_3-2-1_50KKB_2024-05-03_final.stac-item
2024-05-18 11:14:11	ga_s2am_ard_3-2-1_52KBU_2024-05-18_nrt.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