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
2015-09-04 10:45:31	ga_s2am_ard_3-2-1_53HLD_2015-09-04_final.stac-item
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JFM_2015-10-01_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JVK_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JWL_2015-11-25_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXG_2015-11-25_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KFA_2016-05-07_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KDU_2016-05-30_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVM_2016-06-05_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUM_2016-06-25_final.stac-item
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_52KDA_2016-08-28_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JML_2016-09-09_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KMU_2016-10-29_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_52JCM_2016-12-06_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JBM_2016-12-13_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KXA_2016-12-22_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JXG_2016-12-26_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JRT_2017-01-14_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KEG_2017-01-25_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXG_2017-03-19_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HMK_2017-09-01_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKS_2017-09-07_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JWN_2017-09-08_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HVC_2017-09-15_final
2017-09-20 10:32:07	ga_s2am_ard_3-2-1_53HPA_2017-09-20_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51LZD_2018-02-25_final
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52LHL_2018-03-18_final
2018-03-25 10:47:23	ga_s2am_ard_3-2-1_52JFN_2018-03-25_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KVR_2018-04-26_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53JPN_2018-05-28_final
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_50HPH_2018-06-05_final
2018-08-09 10:37:27	ga_s2am_ard_3-2-1_53JPN_2018-08-09_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50JQL_2018-08-14_final
2018-08-16 10:36:26	ga_s2am_ard_3-2-1_53HPC_2018-08-16_final
2018-08-29 10:37:26	ga_s2am_ard_3-2-1_53JLL_2018-08-29_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KVT_2018-09-23_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HVD_2018-09-30_final
2018-11-24 10:34:14	ga_s2am_ard_3-2-1_53JPM_2018-11-24_final
2019-01-14 11:43:14	ga_s2am_ard_3-2-1_50KRC_2019-01-14_final
2019-01-24 11:42:06	ga_s2am_ard_3-2-1_51KWB_2019-01-24_final
2019-01-29 10:54:30	ga_s2am_ard_3-2-1_52JFS_2019-01-29_final
2019-06-10 11:33:26	ga_s2am_ard_3-2-1_51KXS_2019-06-10_final
2019-06-29 10:27:10	ga_s2am_ard_3-2-1_53HPA_2019-06-29_final
2019-09-21 11:47:02	ga_s2am_ard_3-2-1_50HPH_2019-09-21_final
2019-12-14 11:24:14	ga_s2am_ard_3-2-1_52JBT_2019-12-14_final
2020-03-30 11:14:25	ga_s2am_ard_3-2-1_52JDS_2020-03-30_final
2020-04-20 10:46:01	ga_s2am_ard_3-2-1_52JGL_2020-04-20_final
2020-05-25 11:34:23	ga_s2am_ard_3-2-1_51KUP_2020-05-25_final
2020-05-25 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-05-25_final
2020-06-11 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-06-11_final
2020-07-14 11:36:33	ga_s2am_ard_3-2-1_51HUE_2020-07-14_final
2020-08-09 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-08-09_final
2020-09-22 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-09-22_final
2020-10-26 11:13:39	ga_s2am_ard_3-2-1_52KDA_2020-10-26_final
2021-02-13 11:11:25	ga_s2am_ard_3-2-1_52LGJ_2021-02-13_final
2021-02-20 11:00:44	ga_s2am_ard_3-2-1_52LHM_2021-02-20_final
2021-03-14 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-03-14_final
2021-04-15 10:45:02	ga_s2am_ard_3-2-1_53JMJ_2021-04-15_final
2021-06-08 10:26:37	ga_s2am_ard_3-2-1_53HPC_2021-06-08_final
2021-06-10 11:06:11	ga_s2am_ard_3-2-1_52JBL_2021-06-10_final
2021-10-16 10:26:38	ga_s2am_ard_3-2-1_53HQC_2021-10-16_final
2021-11-10 11:15:50	ga_s2am_ard_3-2-1_52JCM_2021-11-10_final
2021-11-15 10:26:23	ga_s2am_ard_3-2-1_53HPD_2021-11-15_final
2021-11-24 10:55:10	ga_s2am_ard_3-2-1_53JKJ_2021-11-24_final
2022-01-29 11:12:03	ga_s2am_ard_3-2-1_52KEG_2022-01-29_final
2022-01-29 11:12:35	ga_s2am_ard_3-2-1_52KDE_2022-01-29_final
2022-02-01 11:24:37	ga_s2am_ard_3-2-1_51JYM_2022-02-01_final
2022-02-04 11:32:58	ga_s2am_ard_3-2-1_51KWU_2022-02-04_final
2022-02-08 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2022-02-08_final
2022-02-28 11:15:46	ga_s2am_ard_3-2-1_51JXH_2022-02-28_final
2022-04-05 11:34:07	ga_s2am_ard_3-2-1_51KXP_2022-04-05_final
2022-04-18 11:44:35	ga_s2am_ard_3-2-1_51JTN_2022-04-18_final
2022-04-24 12:03:25	ga_s2am_ard_3-2-1_50KNC_2022-04-24_final
2022-05-09 11:13:12	ga_s2am_ard_3-2-1_52KCC_2022-05-09_final
2022-05-19 11:16:43	ga_s2am_ard_3-2-1_51HYD_2022-05-19_final
2022-06-04 11:31:26	ga_s2am_ard_3-2-1_52LBK_2022-06-04_final
2022-08-15 10:36:37	ga_s2am_ard_3-2-1_53HMD_2022-08-15_final
2022-08-17 11:15:53	ga_s2am_ard_3-2-1_51JYH_2022-08-17_final
2022-09-08 11:55:35	ga_s2am_ard_3-2-1_50JMQ_2022-09-08_final.stac-item
2022-10-05 13:21:52	ga_s2am_ard_3-2-1_46LHM_2022-10-05_interim.stac-item
2022-10-24 10:36:05	ga_s2am_ard_3-2-1_53HPE_2022-10-24_final.stac-item
2022-11-17 13:31:36	ga_s2am_ard_3-2-1_46LHN_2022-11-17_interim.stac-item
2023-02-06 11:26:57	ga_s2am_ard_3-2-1_51HVC_2023-02-06_final.stac-item
2023-03-31 11:35:54	ga_s2am_ard_3-2-1_51JVG_2023-03-31_final.stac-item
2023-04-01 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-04-01_final.stac-item
2023-04-13 11:43:33	ga_s2am_ard_3-2-1_50KRB_2023-04-13_final.stac-item
2023-05-12 10:36:58	ga_s2am_ard_3-2-1_53HPA_2023-05-12_final.stac-item
2023-06-01 10:37:02	ga_s2am_ard_3-2-1_53HPA_2023-06-01_final.stac-item
2023-06-17 10:55:50	ga_s2am_ard_3-2-1_52JFM_2023-06-17_final.stac-item
2023-07-04 10:46:29	ga_s2am_ard_3-2-1_53HLD_2023-07-04_final.stac-item
2023-07-28 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-07-28_final.stac-item
2023-08-11 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-08-11_final.stac-item
2023-09-10 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-09-10_final.stac-item
2023-09-30 11:47:04	ga_s2am_ard_3-2-1_50HPH_2023-09-30_final.stac-item
2023-11-18 10:35:46	ga_s2am_ard_3-2-1_53JPF_2023-11-18_final.stac-item
2023-12-10 11:15:42	ga_s2am_ard_3-2-1_52JCM_2023-12-10_final.stac-item
2024-02-08 11:16:26	ga_s2am_ard_3-2-1_52HBJ_2024-02-08_final.stac-item
2024-02-28 11:11:58	ga_s2am_ard_3-2-1_52KFG_2024-02-28_final.stac-item
2024-03-08 11:44:49	ga_s2am_ard_3-2-1_50JRS_2024-03-08_final.stac-item
2024-04-06 10:34:05	ga_s2am_ard_3-2-1_53JPN_2024-04-06_final.stac-item
2024-04-23 12:04:34	ga_s2am_ard_3-2-1_49KGP_2024-04-23_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

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