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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JCP_2015-08-01_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51LXC_2016-01-07_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52KFU_2016-06-06_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52HBK_2016-08-25_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JCM_2016-09-14_final.stac-item
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KHE_2016-10-21_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPH_2016-11-12_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KYB_2017-01-01_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KZP_2017-01-18_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2017-01-30_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51HWE_2017-04-15_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQJ_2017-05-11_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JDS_2017-05-25_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-08-08_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51HTE_2017-09-28_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYJ_2017-10-05_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HXE_2017-11-21_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTQ_2017-12-10_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVA_2017-12-17_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_51KZQ_2018-01-30_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_52KBU_2018-02-02_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_52LDH_2018-02-02_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51JZM_2018-02-12_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JVK_2018-02-22_final
2018-03-06 10:17:02	ga_s2am_ard_3-2-1_53HNB_2018-03-06_final
2018-03-11 11:07:08	ga_s2am_ard_3-2-1_52KFG_2018-03-11_final
2018-03-11 11:07:08	ga_s2am_ard_3-2-1_52KGG_2018-03-11_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52LHN_2018-03-31_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JLT_2018-04-02_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KHP_2018-04-25_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUH_2018-06-05_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JKM_2018-08-20_final
2018-10-17 11:07:09	ga_s2am_ard_3-2-1_52LHM_2018-10-17_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPH_2018-10-26_final
2018-11-06 11:16:32	ga_s2am_ard_3-2-1_51HYD_2018-11-06_final
2018-12-09 11:25:12	ga_s2am_ard_3-2-1_51JYJ_2018-12-09_final
2019-02-14 11:11:33	ga_s2am_ard_3-2-1_52LDJ_2019-02-14_final
2019-03-25 11:42:41	ga_s2am_ard_3-2-1_51KVV_2019-03-25_final
2019-04-11 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2019-04-11_final
2019-07-25 10:46:11	ga_s2am_ard_3-2-1_53HME_2019-07-25_final
2019-12-22 10:46:15	ga_s2am_ard_3-2-1_53HMD_2019-12-22_final
2020-01-23 11:26:47	ga_s2am_ard_3-2-1_51HUD_2020-01-23_final
2020-02-08 11:43:25	ga_s2am_ard_3-2-1_50KRB_2020-02-08_final
2020-02-11 11:55:08	ga_s2am_ard_3-2-1_50JMR_2020-02-11_final
2020-02-26 11:02:07	ga_s2am_ard_3-2-1_52KHF_2020-02-26_final
2020-03-03 11:22:33	ga_s2am_ard_3-2-1_52KBE_2020-03-03_final
2020-04-24 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2020-04-24_final
2020-05-26 11:03:37	ga_s2am_ard_3-2-1_52KFA_2020-05-26_final
2020-06-12 10:56:10	ga_s2am_ard_3-2-1_52JEL_2020-06-12_final
2020-06-14 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-06-14_final
2020-08-07 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-08-07_final
2020-08-10 11:24:50	ga_s2am_ard_3-2-1_51JWM_2020-08-10_final
2020-08-13 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-08-13_final
2020-09-22 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-09-22_final
2020-11-20 12:05:32	ga_s2am_ard_3-2-1_49JGK_2020-11-20_final
2020-12-12 11:04:18	ga_s2am_ard_3-2-1_52JDT_2020-12-12_final
2021-01-21 11:02:52	ga_s2am_ard_3-2-1_52KED_2021-01-21_final
2021-02-10 11:03:08	ga_s2am_ard_3-2-1_52KHB_2021-02-10_final
2021-03-15 11:11:26	ga_s2am_ard_3-2-1_52LGJ_2021-03-15_final
2021-04-09 12:04:41	ga_s2am_ard_3-2-1_49JGN_2021-04-09_final
2021-04-20 11:36:52	ga_s2am_ard_3-2-1_51HUC_2021-04-20_final
2021-05-24 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-05-24_final
2021-05-29 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-05-29_final
2021-06-02 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-02_final
2021-07-28 12:03:30	ga_s2am_ard_3-2-1_50KLC_2021-07-28_final
2021-08-06 10:55:51	ga_s2am_ard_3-2-1_52JFM_2021-08-06_final
2021-08-07 12:04:16	ga_s2am_ard_3-2-1_50KKV_2021-08-07_final
2021-08-14 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-08-14_final
2021-09-04 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-09-04_final
2021-09-27 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-09-27_final
2021-10-13 11:57:11	ga_s2am_ard_3-2-1_50HMH_2021-10-13_final
2021-11-07 11:02:15	ga_s2am_ard_3-2-1_52KHF_2021-11-07_final
2021-11-16 11:34:06	ga_s2am_ard_3-2-1_51KXP_2021-11-16_final
2022-01-29 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-01-29_final
2022-01-29 11:13:54	ga_s2am_ard_3-2-1_52KBV_2022-01-29_final
2022-04-17 12:13:58	ga_s2am_ard_3-2-1_50KKA_2022-04-17_final
2022-07-24 11:33:27	ga_s2am_ard_3-2-1_51KVT_2022-07-24_final
2022-11-13 10:36:53	ga_s2am_ard_3-2-1_53HNB_2022-11-13_final.stac-item
2022-11-21 11:31:19	ga_s2am_ard_3-2-1_52LBK_2022-11-21_final.stac-item
2022-11-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-24_final.stac-item
2022-12-12 11:03:35	ga_s2am_ard_3-2-1_52KEA_2022-12-12_final.stac-item
2023-03-05 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-03-05_final.stac-item
2023-03-08 11:21:05	ga_s2am_ard_3-2-1_52LBL_2023-03-08_nrt.stac-item
2023-03-24 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2023-03-24_final.stac-item
2023-04-03 11:44:48	ga_s2am_ard_3-2-1_50JQS_2023-04-03_final.stac-item
2023-04-14 11:15:00	ga_s2am_ard_3-2-1_52JDQ_2023-04-14_final.stac-item
2023-05-20 11:36:29	ga_s2am_ard_3-2-1_50JPL_2023-05-20_final.stac-item
2023-05-30 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-05-30_final.stac-item
2023-06-19 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2023-06-19_final.stac-item
2023-08-11 11:46:16	ga_s2am_ard_3-2-1_50JPL_2023-08-11_final.stac-item
2023-08-27 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-08-27_final.stac-item
2023-12-17 11:05:33	ga_s2am_ard_3-2-1_52JCN_2023-12-17_final.stac-item
2024-01-15 11:31:11	ga_s2am_ard_3-2-1_52LBK_2024-01-15_final.stac-item
2024-03-02 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2024-03-02_final.stac-item
2024-03-12 11:26:47	ga_s2am_ard_3-2-1_51HUD_2024-03-12_final.stac-item
2024-03-15 11:36:37	ga_s2am_ard_3-2-1_50HPK_2024-03-15_final.stac-item
2024-03-19 11:13:58	ga_s2am_ard_3-2-1_52KEU_2024-03-19_final.stac-item
2024-04-08 11:13:50	ga_s2am_ard_3-2-1_52KCV_2024-04-08_final.stac-item
2024-04-10 11:54:19	ga_s2am_ard_3-2-1_50KPU_2024-04-10_final.stac-item
2024-05-10 11:56:21	ga_s2am_ard_3-2-1_50JNL_2024-05-10_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