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
2015-08-05 10:45:29	ga_s2am_ard_3-2-1_53JLF_2015-08-05_final.stac-item
2015-11-27 10:26:36	ga_s2am_ard_3-2-1_53HPC_2015-11-27_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKM_2015-12-17_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KWQ_2016-01-24_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-03-06_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KWT_2016-04-06_final.stac-item
2016-07-19 11:12:19	ga_s2am_ard_3-2-1_52KBC_2016-07-19_final.stac-item
2016-12-13 10:57:22	ga_s2am_ard_3-2-1_52LGM_2016-12-13_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JGR_2016-12-23_final
2017-01-20 10:24:01	ga_s2am_ard_3-2-1_53HNC_2017-01-20_final
2017-04-25 11:12:56	ga_s2am_ard_3-2-1_52KBU_2017-04-25_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKM_2017-07-09_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JVG_2017-08-19_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-08-31_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JYJ_2017-09-15_final
2017-12-09 10:32:28	ga_s2am_ard_3-2-1_53JQM_2017-12-09_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPP_2017-12-10_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51HVE_2018-02-05_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_53KKP_2018-02-13_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KWR_2018-03-07_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KXU_2018-04-23_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_51HXD_2018-05-10_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KNC_2018-06-11_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JZN_2018-09-30_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVS_2018-11-02_final
2018-12-08 11:53:27	ga_s2am_ard_3-2-1_50KPB_2018-12-08_final
2018-12-30 10:52:08	ga_s2am_ard_3-2-1_53KKA_2018-12-30_final
2019-01-01 11:33:32	ga_s2am_ard_3-2-1_51KXR_2019-01-01_final
2019-01-15 11:16:08	ga_s2am_ard_3-2-1_51JXF_2019-01-15_final
2019-01-19 10:55:21	ga_s2am_ard_3-2-1_53JKH_2019-01-19_final
2019-03-02 11:32:06	ga_s2am_ard_3-2-1_51KXB_2019-03-02_final
2019-03-31 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2019-03-31_final
2019-05-21 11:32:44	ga_s2am_ard_3-2-1_51KXV_2019-05-21_final
2019-07-27 11:23:11	ga_s2am_ard_3-2-1_52KBC_2019-07-27_final
2019-08-19 11:33:15	ga_s2am_ard_3-2-1_51KWT_2019-08-19_final
2019-09-08 11:33:21	ga_s2am_ard_3-2-1_51KUT_2019-09-08_final
2019-09-15 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2019-09-15_final
2019-10-15 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-10-15_final
2019-11-19 10:35:58	ga_s2am_ard_3-2-1_53HQE_2019-11-19_final
2019-12-07 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2019-12-07_final
2020-01-06 11:31:48	ga_s2am_ard_3-2-1_51LYC_2020-01-06_final
2020-03-10 11:11:33	ga_s2am_ard_3-2-1_52LDJ_2020-03-10_final
2020-04-01 11:54:07	ga_s2am_ard_3-2-1_50KMV_2020-04-01_final
2020-04-02 11:25:41	ga_s2am_ard_3-2-1_51JVH_2020-04-02_final
2020-04-25 11:33:43	ga_s2am_ard_3-2-1_51KWR_2020-04-25_final
2020-05-04 10:26:50	ga_s2am_ard_3-2-1_53HQB_2020-05-04_final
2020-08-13 11:34:43	ga_s2am_ard_3-2-1_50JRT_2020-08-13_final
2020-11-06 10:45:48	ga_s2am_ard_3-2-1_53JKG_2020-11-06_final
2020-11-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-11-30_final
2020-12-11 11:34:51	ga_s2am_ard_3-2-1_51JWL_2020-12-11_final
2020-12-22 11:02:43	ga_s2am_ard_3-2-1_52KGD_2020-12-22_final
2021-02-01 10:34:25	ga_s2am_ard_3-2-1_53JNM_2021-02-01_final
2021-03-25 11:13:52	ga_s2am_ard_3-2-1_51KZQ_2021-03-25_final
2021-06-13 11:13:45	ga_s2am_ard_3-2-1_52KEV_2021-06-13_final
2021-08-06 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-08-06_final
2021-08-07 10:24:43	ga_s2am_ard_3-2-1_53JQL_2021-08-07_final
2021-08-08 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-08-08_final
2021-08-17 10:24:42	ga_s2am_ard_3-2-1_53JQL_2021-08-17_final
2021-08-21 11:46:32	ga_s2am_ard_3-2-1_50HQK_2021-08-21_final
2021-09-04 11:23:14	ga_s2am_ard_3-2-1_51KXT_2021-09-04_final
2021-09-16 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-09-16_final
2021-10-02 10:45:33	ga_s2am_ard_3-2-1_53JKH_2021-10-02_final
2021-11-07 11:03:57	ga_s2am_ard_3-2-1_52KDV_2021-11-07_final
2021-12-30 11:14:51	ga_s2am_ard_3-2-1_52JCR_2021-12-30_final
2022-01-16 11:02:55	ga_s2am_ard_3-2-1_52KHC_2022-01-16_final
2022-01-25 11:32:44	ga_s2am_ard_3-2-1_51KWV_2022-01-25_final
2022-03-03 11:23:31	ga_s2am_ard_3-2-1_51KYS_2022-03-03_final
2022-04-06 11:06:07	ga_s2am_ard_3-2-1_52JCL_2022-04-06_final
2022-04-09 11:10:42	ga_s2am_ard_3-2-1_52LHM_2022-04-09_final
2022-04-15 11:32:35	ga_s2am_ard_3-2-1_51KVA_2022-04-15_final
2022-04-30 10:44:58	ga_s2am_ard_3-2-1_53JMK_2022-04-30_final
2022-06-04 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-06-04_final
2022-06-10 11:56:02	ga_s2am_ard_3-2-1_50JMN_2022-06-10_final
2022-09-10 10:54:44	ga_s2am_ard_3-2-1_52JFS_2022-09-10_final.stac-item
2022-09-28 11:56:21	ga_s2am_ard_3-2-1_50JKM_2022-09-28_final.stac-item
2022-10-13 11:05:39	ga_s2am_ard_3-2-1_52JDN_2022-10-13_final.stac-item
2022-11-15 12:51:03	ga_s2am_ard_3-2-1_48LWP_2022-11-15_final.stac-item
2022-12-08 11:21:34	ga_s2am_ard_3-2-1_52LCJ_2022-12-08_final.stac-item
2022-12-15 11:13:57	ga_s2am_ard_3-2-1_52KEU_2022-12-15_final.stac-item
2022-12-20 12:04:47	ga_s2am_ard_3-2-1_50JMS_2022-12-20_final.stac-item
2023-02-26 11:24:02	ga_s2am_ard_3-2-1_51KZP_2023-02-26_final.stac-item
2023-04-19 12:04:41	ga_s2am_ard_3-2-1_49JHN_2023-04-19_final.stac-item
2023-05-10 11:32:54	ga_s2am_ard_3-2-1_51KXU_2023-05-10_final.stac-item
2023-05-24 11:13:54	ga_s2am_ard_3-2-1_52KCV_2023-05-24_final.stac-item
2023-06-06 11:23:20	ga_s2am_ard_3-2-1_52KCB_2023-06-06_final.stac-item
2023-06-25 11:55:52	ga_s2am_ard_3-2-1_50JNN_2023-06-25_final.stac-item
2023-06-26 11:24:35	ga_s2am_ard_3-2-1_51JZM_2023-06-26_final.stac-item
2023-07-31 10:34:31	ga_s2am_ard_3-2-1_53JNM_2023-07-31_final.stac-item
2023-08-23 10:46:01	ga_s2am_ard_3-2-1_53JLF_2023-08-23_final.stac-item
2023-11-16 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-11-16_final.stac-item
2023-12-11 10:45:34	ga_s2am_ard_3-2-1_53JLG_2023-12-11_final.stac-item
2023-12-18 10:35:30	ga_s2am_ard_3-2-1_53JPG_2023-12-18_final.stac-item
2024-01-16 11:01:35	ga_s2am_ard_3-2-1_52LHH_2024-01-16_final.stac-item
2024-01-22 11:21:39	ga_s2am_ard_3-2-1_52LDH_2024-01-22_final.stac-item
2024-03-08 11:42:10	ga_s2am_ard_3-2-1_51KWB_2024-03-08_final.stac-item
2024-03-09 11:11:13	ga_s2am_ard_3-2-1_52LGK_2024-03-09_final.stac-item
2024-03-15 11:34:43	ga_s2am_ard_3-2-1_51JVM_2024-03-15_final.stac-item
2024-03-29 11:14:46	ga_s2am_ard_3-2-1_52JDR_2024-03-29_final.stac-item
2024-04-01 11:25:48	ga_s2am_ard_3-2-1_51JVH_2024-04-01_final.stac-item
2024-05-13 12:05:32	ga_s2am_ard_3-2-1_49JGK_2024-05-13_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