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
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JEQ_2016-03-28_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KEA_2016-05-20_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JKR_2016-05-25_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KPP_2016-05-31_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KYS_2016-07-02_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_54GYA_2016-07-12_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNS_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JPS_2016-07-21_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKM_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGK_2016-11-11_final.stac-item
2016-12-07 10:43:25	ga_s2am_ard_3-2-1_53JKG_2016-12-07_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVV_2016-12-22_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KGB_2016-12-23_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXK_2017-01-08_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KFD_2017-02-24_final
2017-03-07 10:42:59	ga_s2am_ard_3-2-1_53KNR_2017-03-07_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVJ_2017-03-19_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JYJ_2017-05-18_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JUG_2017-09-08_final
2017-11-06 10:26:36	ga_s2am_ard_3-2-1_53HQA_2017-11-06_final
2017-11-16 10:23:25	ga_s2am_ard_3-2-1_53HPA_2017-11-16_final
2017-12-01 11:13:25	ga_s2am_ard_3-2-1_52KBV_2017-12-01_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KQB_2018-01-12_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXM_2018-02-02_final
2018-02-14 10:17:02	ga_s2am_ard_3-2-1_53KRQ_2018-02-14_final
2018-02-23 10:47:22	ga_s2am_ard_3-2-1_53LNE_2018-02-23_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KEA_2018-03-11_final
2018-04-18 10:34:18	ga_s2am_ard_3-2-1_53HPA_2018-04-18_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGL_2018-05-25_final
2018-09-13 09:50:51	ga_s2am_ard_3-2-1_54GYA_2018-09-13_final
2018-09-26 09:57:03	ga_s2am_ard_3-2-1_54HXF_2018-09-26_final
2018-09-30 11:16:55	ga_s2am_ard_3-2-1_51KXS_2018-09-30_final
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_54HWC_2018-10-16_final
2018-11-06 11:16:04	ga_s2am_ard_3-2-1_51JYF_2018-11-06_final
2019-01-14 11:46:11	ga_s2am_ard_3-2-1_50JQL_2019-01-14_final
2019-01-23 10:34:11	ga_s2am_ard_3-2-1_53JRM_2019-01-23_final
2019-03-02 11:32:56	ga_s2am_ard_3-2-1_51KVU_2019-03-02_final
2019-03-08 11:55:47	ga_s2am_ard_3-2-1_50JMN_2019-03-08_final
2019-06-30 09:57:50	ga_s2am_ard_3-2-1_54HWC_2019-06-30_final
2019-08-01 10:36:11	ga_s2am_ard_3-2-1_53HNE_2019-08-01_final
2019-10-28 09:57:49	ga_s2am_ard_3-2-1_54HWC_2019-10-28_final
2019-12-21 11:13:48	ga_s2am_ard_3-2-1_51KZQ_2019-12-21_final
2020-01-09 11:45:09	ga_s2am_ard_3-2-1_51JTK_2020-01-09_final
2020-03-29 10:06:53	ga_s2am_ard_3-2-1_54HWF_2020-03-29_final
2020-06-11 11:26:42	ga_s2am_ard_3-2-1_51HXD_2020-06-11_final
2020-11-12 11:02:22	ga_s2am_ard_3-2-1_52KFF_2020-11-12_final
2021-01-15 10:46:25	ga_s2am_ard_3-2-1_53HLD_2021-01-15_final
2021-01-21 11:02:52	ga_s2am_ard_3-2-1_52KED_2021-01-21_final
2021-02-10 11:05:59	ga_s2am_ard_3-2-1_52JCL_2021-02-10_final
2021-05-06 11:53:49	ga_s2am_ard_3-2-1_50KPA_2021-05-06_final
2021-06-18 10:26:41	ga_s2am_ard_3-2-1_53HNC_2021-06-18_final
2021-09-04 11:23:11	ga_s2am_ard_3-2-1_51KYT_2021-09-04_final
2021-09-29 10:36:40	ga_s2am_ard_3-2-1_53HNC_2021-09-29_final
2021-10-02 10:45:41	ga_s2am_ard_3-2-1_53JMG_2021-10-02_final
2021-10-13 11:56:45	ga_s2am_ard_3-2-1_50HLK_2021-10-13_final
2021-11-19 10:06:14	ga_s2am_ard_3-2-1_54HWJ_2021-11-19_final
2021-12-05 10:25:05	ga_s2am_ard_3-2-1_53JQJ_2021-12-05_final
2021-12-13 11:21:46	ga_s2am_ard_3-2-1_52LDH_2021-12-13_final
2022-01-05 09:58:07	ga_s2am_ard_3-2-1_54GYA_2022-01-05_final
2022-01-12 09:48:10	ga_s2am_ard_3-2-1_54GYA_2022-01-12_final
2022-02-05 11:01:28	ga_s2am_ard_3-2-1_52LHJ_2022-02-05_final
2022-03-23 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2022-03-23_final
2022-03-26 11:33:37	ga_s2am_ard_3-2-1_51KUS_2022-03-26_final
2022-04-10 10:46:11	ga_s2am_ard_3-2-1_53HLE_2022-04-10_final
2022-04-11 10:16:36	ga_s2am_ard_3-2-1_54HTH_2022-04-11_final
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final
2022-05-19 11:13:06	ga_s2am_ard_3-2-1_52KEC_2022-05-19_final
2022-06-19 10:46:17	ga_s2am_ard_3-2-1_53HME_2022-06-19_final
2022-09-04 10:33:47	ga_s2am_ard_3-2-1_53KQQ_2022-09-04_final.stac-item
2022-09-16 12:51:10	ga_s2am_ard_3-2-1_48LWP_2022-09-16_final.stac-item
2022-10-01 10:24:11	ga_s2am_ard_3-2-1_53JRN_2022-10-01_final.stac-item
2022-10-02 11:34:36	ga_s2am_ard_3-2-1_51JVN_2022-10-02_final.stac-item
2022-10-28 10:17:08	ga_s2am_ard_3-2-1_53HQA_2022-10-28_final.stac-item
2022-11-02 11:06:07	ga_s2am_ard_3-2-1_52JDL_2022-11-02_final.stac-item
2022-12-01 11:33:48	ga_s2am_ard_3-2-1_51KUR_2022-12-01_final.stac-item
2023-01-01 11:01:40	ga_s2am_ard_3-2-1_53LKC_2023-01-01_final.stac-item
2023-01-01 11:02:54	ga_s2am_ard_3-2-1_52KED_2023-01-01_final.stac-item
2023-01-19 10:26:56	ga_s2am_ard_3-2-1_53HQA_2023-01-19_final.stac-item
2023-01-31 11:03:26	ga_s2am_ard_3-2-1_52KGA_2023-01-31_final.stac-item
2023-02-04 10:41:37	ga_s2am_ard_3-2-1_53KRB_2023-02-04_final.stac-item
2023-02-05 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-02-05_final.stac-item
2023-02-21 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-02-21_final.stac-item
2023-03-31 11:33:58	ga_s2am_ard_3-2-1_51KVQ_2023-03-31_final.stac-item
2023-04-21 11:00:27	ga_s2am_ard_3-2-1_53LKH_2023-04-21_final.stac-item
2023-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-05-10_final.stac-item
2023-05-12 10:36:45	ga_s2am_ard_3-2-1_53HPB_2023-05-12_final.stac-item
2023-05-29 10:24:08	ga_s2am_ard_3-2-1_53JRN_2023-05-29_final.stac-item
2023-05-30 11:36:46	ga_s2am_ard_3-2-1_51HUD_2023-05-30_final.stac-item
2023-06-15 11:56:18	ga_s2am_ard_3-2-1_50JKM_2023-06-15_final.stac-item
2023-07-04 10:43:57	ga_s2am_ard_3-2-1_53KNP_2023-07-04_final.stac-item
2023-08-09 11:01:31	ga_s2am_ard_3-2-1_53LKD_2023-08-09_final.stac-item
2023-09-18 11:06:13	ga_s2am_ard_3-2-1_52JBL_2023-09-18_final.stac-item
2023-09-24 11:27:00	ga_s2am_ard_3-2-1_51HVC_2023-09-24_final.stac-item
2023-09-28 11:00:51	ga_s2am_ard_3-2-1_52LGM_2023-09-28_final.stac-item
2023-12-14 10:55:38	ga_s2am_ard_3-2-1_52JGM_2023-12-14_final.stac-item
2024-02-06 10:34:09	ga_s2am_ard_3-2-1_53JNN_2024-02-06_final.stac-item
2024-02-28 11:12:49	ga_s2am_ard_3-2-1_52KDD_2024-02-28_final.stac-item
2024-02-29 10:41:59	ga_s2am_ard_3-2-1_53KRA_2024-02-29_final.stac-item
2024-04-03 10:24:49	ga_s2am_ard_3-2-1_53JQK_2024-04-03_final.stac-item
2024-04-17 11:44:26	ga_s2am_ard_3-2-1_50KPU_2024-04-17_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