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
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51JYN_2016-10-17_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KNC_2016-11-21_final.stac-item
2017-01-08 11:26:18	ga_s2am_ard_3-2-1_51HUC_2017-01-08_final
2017-01-26 10:42:01	ga_s2am_ard_3-2-1_53JPN_2017-01-26_final
2017-02-19 10:23:19	ga_s2am_ard_3-2-1_53HQA_2017-02-19_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JWL_2017-04-21_final.stac-item
2017-07-14 11:12:15	ga_s2am_ard_3-2-1_52KDV_2017-07-14_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JNQ_2017-08-25_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JFL_2017-10-06_final
2017-10-10 10:32:09	ga_s2am_ard_3-2-1_53JPL_2017-10-10_final
2017-11-28 10:57:11	ga_s2am_ard_3-2-1_52KFE_2017-11-28_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDB_2018-02-19_final
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52KHB_2018-03-08_final
2018-06-04 10:17:06	ga_s2am_ard_3-2-1_53HQC_2018-06-04_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_50KKV_2018-06-07_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JZM_2018-06-19_final
2018-07-19 11:15:21	ga_s2am_ard_3-2-1_52JBP_2018-07-19_final
2018-07-20 10:37:28	ga_s2am_ard_3-2-1_52JGM_2018-07-20_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JFQ_2018-07-26_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKN_2018-10-12_final
2018-11-07 10:44:05	ga_s2am_ard_3-2-1_53JMN_2018-11-07_final
2018-11-22 11:37:00	ga_s2am_ard_3-2-1_50HPH_2018-11-22_final
2018-11-27 10:44:56	ga_s2am_ard_3-2-1_53JNJ_2018-11-27_final
2019-01-10 10:26:42	ga_s2am_ard_3-2-1_53HQB_2019-01-10_final
2019-02-04 11:13:10	ga_s2am_ard_3-2-1_52KBC_2019-02-04_final
2019-02-07 11:25:35	ga_s2am_ard_3-2-1_51JXH_2019-02-07_final
2019-03-02 11:33:18	ga_s2am_ard_3-2-1_51KXS_2019-03-02_final
2019-03-12 11:32:46	ga_s2am_ard_3-2-1_51KYU_2019-03-12_final
2019-04-15 11:14:48	ga_s2am_ard_3-2-1_52JDR_2019-04-15_final
2019-05-02 11:04:22	ga_s2am_ard_3-2-1_52JET_2019-05-02_final
2019-05-15 11:10:41	ga_s2am_ard_3-2-1_52LHM_2019-05-15_final
2019-05-30 12:05:54	ga_s2am_ard_3-2-1_50JLN_2019-05-30_final
2019-07-02 10:37:03	ga_s2am_ard_3-2-1_53HPA_2019-07-02_final
2019-08-29 11:35:09	ga_s2am_ard_3-2-1_51JWK_2019-08-29_final
2019-09-29 11:05:23	ga_s2am_ard_3-2-1_52JEP_2019-09-29_final
2019-10-14 11:56:28	ga_s2am_ard_3-2-1_50JLL_2019-10-14_final
2019-11-17 11:31:50	ga_s2am_ard_3-2-1_51LZC_2019-11-17_final
2019-12-11 11:16:33	ga_s2am_ard_3-2-1_51HYD_2019-12-11_final
2019-12-28 11:05:58	ga_s2am_ard_3-2-1_52JDL_2019-12-28_final
2020-01-16 11:33:07	ga_s2am_ard_3-2-1_51KWT_2020-01-16_final
2020-02-21 11:56:02	ga_s2am_ard_3-2-1_50JMM_2020-02-21_final
2020-04-05 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-04-05_final
2020-05-25 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-05-25_final
2020-06-04 11:36:55	ga_s2am_ard_3-2-1_50HQJ_2020-06-04_final
2020-06-22 10:55:08	ga_s2am_ard_3-2-1_52JFQ_2020-06-22_final
2020-09-04 12:15:04	ga_s2am_ard_3-2-1_49JFM_2020-09-04_final
2020-10-17 10:45:02	ga_s2am_ard_3-2-1_53JLK_2020-10-17_final
2020-11-07 10:17:09	ga_s2am_ard_3-2-1_53HQA_2020-11-07_final
2020-12-11 11:32:33	ga_s2am_ard_3-2-1_51KYV_2020-12-11_final
2020-12-23 10:36:31	ga_s2am_ard_3-2-1_53HPC_2020-12-23_final
2021-01-01 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-01-01_final
2021-01-04 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-01-04_final
2021-01-16 10:17:05	ga_s2am_ard_3-2-1_53HQA_2021-01-16_final
2021-02-07 10:54:20	ga_s2am_ard_3-2-1_52JFT_2021-02-07_final
2021-02-07 10:55:53	ga_s2am_ard_3-2-1_53JKF_2021-02-07_final
2021-03-15 11:11:51	ga_s2am_ard_3-2-1_52LDH_2021-03-15_final
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGP_2021-04-02_final
2021-04-29 12:03:24	ga_s2am_ard_3-2-1_50KLC_2021-04-29_final
2021-06-01 10:34:40	ga_s2am_ard_3-2-1_53JNL_2021-06-01_final
2021-06-29 11:33:11	ga_s2am_ard_3-2-1_51KXT_2021-06-29_final
2021-08-22 11:13:06	ga_s2am_ard_3-2-1_52KDC_2021-08-22_final
2021-09-03 11:53:12	ga_s2am_ard_3-2-1_50KRC_2021-09-03_final
2021-09-13 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-09-13_final
2021-11-06 11:34:32	ga_s2am_ard_3-2-1_51JVN_2021-11-06_final
2021-11-20 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-11-20_final
2022-02-01 11:22:48	ga_s2am_ard_3-2-1_52KCD_2022-02-01_final
2022-02-25 11:06:40	ga_s2am_ard_3-2-1_51HYD_2022-02-25_final
2022-05-02 11:24:37	ga_s2am_ard_3-2-1_52JBS_2022-05-02_final
2022-06-01 11:24:59	ga_s2am_ard_3-2-1_51JYL_2022-06-01_final
2022-06-05 11:03:03	ga_s2am_ard_3-2-1_52KHC_2022-06-05_final
2022-07-15 11:06:16	ga_s2am_ard_3-2-1_52JEL_2022-07-15_final
2022-07-24 11:33:12	ga_s2am_ard_3-2-1_51KVU_2022-07-24_final
2022-09-21 12:06:12	ga_s2am_ard_3-2-1_50JLM_2022-09-21_final.stac-item
2022-11-25 11:13:53	ga_s2am_ard_3-2-1_52KDV_2022-11-25_final.stac-item
2023-01-01 11:01:31	ga_s2am_ard_3-2-1_52LGJ_2023-01-01_final.stac-item
2023-01-27 11:25:50	ga_s2am_ard_3-2-1_51JXG_2023-01-27_final.stac-item
2023-02-23 11:14:29	ga_s2am_ard_3-2-1_52JDS_2023-02-23_final.stac-item
2023-03-02 11:02:13	ga_s2am_ard_3-2-1_52KFF_2023-03-02_final.stac-item
2023-03-11 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2023-03-11_final.stac-item
2023-04-12 10:36:03	ga_s2am_ard_3-2-1_53HPE_2023-04-12_final.stac-item
2023-04-13 11:44:48	ga_s2am_ard_3-2-1_51JTM_2023-04-13_final.stac-item
2023-05-11 11:05:22	ga_s2am_ard_3-2-1_52JCP_2023-05-11_final.stac-item
2023-06-19 11:34:21	ga_s2am_ard_3-2-1_51KUP_2023-06-19_final.stac-item
2023-06-22 11:42:02	ga_s2am_ard_3-2-1_51LVC_2023-06-22_final.stac-item
2023-07-20 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-07-20_final.stac-item
2023-07-25 10:17:09	ga_s2am_ard_3-2-1_53HQA_2023-07-25_final.stac-item
2023-08-08 11:33:35	ga_s2am_ard_3-2-1_51KVS_2023-08-08_final.stac-item
2023-09-24 11:21:13	ga_s2am_ard_3-2-1_51LZF_2023-09-24_nrt.stac-item
2023-10-31 11:14:08	ga_s2am_ard_3-2-1_51KZP_2023-10-31_final.stac-item
2023-11-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-11-12_final.stac-item
2023-12-21 10:44:02	ga_s2am_ard_3-2-1_53JNN_2023-12-21_final.stac-item
2024-01-05 11:32:29	ga_s2am_ard_3-2-1_51KVA_2024-01-05_final.stac-item
2024-01-25 11:32:44	ga_s2am_ard_3-2-1_51KYU_2024-01-25_final.stac-item
2024-01-25 11:33:24	ga_s2am_ard_3-2-1_51KVS_2024-01-25_final.stac-item
2024-02-23 12:03:42	ga_s2am_ard_3-2-1_50KKB_2024-02-23_final.stac-item
2024-03-05 11:37:01	ga_s2am_ard_3-2-1_51HTC_2024-03-05_final.stac-item
2024-03-19 11:16:27	ga_s2am_ard_3-2-1_51HXE_2024-03-19_final.stac-item
2024-04-06 10:36:26	ga_s2am_ard_3-2-1_53HLD_2024-04-06_final.stac-item
2024-04-06 10:36:56	ga_s2am_ard_3-2-1_53HPA_2024-04-06_final.stac-item
2024-05-06 10:34:21	ga_s2am_ard_3-2-1_53JQM_2024-05-06_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