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
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KEF_2016-01-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HLJ_2016-07-21_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_52KFC_2016-08-08_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52KFD_2016-11-23_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KHC_2016-12-23_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JVK_2017-01-08_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KGE_2017-01-12_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KHG_2017-02-11_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50JKN_2017-02-19_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KCF_2017-02-24_final
2017-08-11 10:32:12	ga_s2am_ard_3-2-1_53HPB_2017-08-11_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JGT_2017-09-29_final
2017-11-22 10:43:02	ga_s2am_ard_3-2-1_53HMD_2017-11-22_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JDM_2017-12-18_final
2017-12-28 11:02:45	ga_s2am_ard_3-2-1_52KHA_2017-12-28_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53HME_2017-12-29_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52LGL_2018-01-07_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KHE_2018-01-27_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51LYD_2018-02-15_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KEB_2018-02-16_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52KGE_2018-03-08_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52JBM_2018-03-31_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KVB_2018-04-16_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KMA_2018-05-25_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JZM_2018-06-19_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52KGU_2018-08-02_final
2018-08-23 10:17:05	ga_s2am_ard_3-2-1_53HQC_2018-08-23_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JUF_2018-09-30_final
2018-11-01 10:17:02	ga_s2am_ard_3-2-1_53HNB_2018-11-01_final
2018-11-09 11:24:36	ga_s2am_ard_3-2-1_51JXM_2018-11-09_final
2018-11-29 11:24:24	ga_s2am_ard_3-2-1_52JBS_2018-11-29_final
2019-01-25 11:11:12	ga_s2am_ard_3-2-1_52LFK_2019-01-25_final
2019-03-08 11:55:41	ga_s2am_ard_3-2-1_50JKP_2019-03-08_final
2019-04-04 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2019-04-04_final
2019-04-14 11:45:56	ga_s2am_ard_3-2-1_50JNN_2019-04-14_final
2019-08-11 10:36:21	ga_s2am_ard_3-2-1_53HPD_2019-08-11_final
2019-08-14 10:46:30	ga_s2am_ard_3-2-1_53HLD_2019-08-14_final
2019-08-19 11:32:22	ga_s2am_ard_3-2-1_51KVB_2019-08-19_final
2019-08-30 11:06:25	ga_s2am_ard_3-2-1_52HBK_2019-08-30_final
2019-10-02 11:16:39	ga_s2am_ard_3-2-1_51HYD_2019-10-02_final
2019-10-31 11:45:10	ga_s2am_ard_3-2-1_50JPR_2019-10-31_final
2019-12-01 11:12:20	ga_s2am_ard_3-2-1_52KFF_2019-12-01_final
2019-12-07 11:32:48	ga_s2am_ard_3-2-1_51KYU_2019-12-07_final
2019-12-14 11:23:01	ga_s2am_ard_3-2-1_52KBC_2019-12-14_final
2020-03-05 10:26:46	ga_s2am_ard_3-2-1_53HPB_2020-03-05_final
2020-05-19 11:12:43	ga_s2am_ard_3-2-1_52KCE_2020-05-19_final
2020-12-03 10:36:27	ga_s2am_ard_3-2-1_53HLD_2020-12-03_final
2020-12-11 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-12-11_final
2020-12-14 11:42:43	ga_s2am_ard_3-2-1_51KUV_2020-12-14_final
2020-12-16 10:45:58	ga_s2am_ard_3-2-1_52JGL_2020-12-16_final
2021-01-20 11:32:01	ga_s2am_ard_3-2-1_51LWC_2021-01-20_final
2021-01-30 11:34:29	ga_s2am_ard_3-2-1_51JVN_2021-01-30_final
2021-02-03 11:15:36	ga_s2am_ard_3-2-1_52JBN_2021-02-03_final
2021-02-12 11:43:13	ga_s2am_ard_3-2-1_51KUT_2021-02-12_final
2021-02-16 11:22:11	ga_s2am_ard_3-2-1_51KYB_2021-02-16_final
2021-03-12 11:03:16	ga_s2am_ard_3-2-1_52KFB_2021-03-12_final
2021-03-18 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-03-18_final
2021-03-22 11:01:30	ga_s2am_ard_3-2-1_52LGJ_2021-03-22_final
2021-05-03 11:44:47	ga_s2am_ard_3-2-1_50JQS_2021-05-03_final
2021-06-09 11:35:19	ga_s2am_ard_3-2-1_51JTK_2021-06-09_final
2021-08-17 10:26:38	ga_s2am_ard_3-2-1_53HPC_2021-08-17_final
2021-08-20 10:36:31	ga_s2am_ard_3-2-1_53HLD_2021-08-20_final
2021-10-30 11:43:05	ga_s2am_ard_3-2-1_51KUU_2021-10-30_final
2021-10-31 11:13:20	ga_s2am_ard_3-2-1_52KEB_2021-10-31_final
2021-11-23 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-11-23_final
2022-01-13 10:52:46	ga_s2am_ard_3-2-1_52KHD_2022-01-13_final
2022-01-14 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-01-14_final
2022-02-07 11:43:03	ga_s2am_ard_3-2-1_50KRD_2022-02-07_final
2022-03-20 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-03-20_final
2022-04-01 11:56:20	ga_s2am_ard_3-2-1_50JNL_2022-04-01_final
2022-04-09 11:10:39	ga_s2am_ard_3-2-1_52LGM_2022-04-09_final
2022-05-29 11:13:56	ga_s2am_ard_3-2-1_52KDV_2022-05-29_final
2022-06-05 11:02:48	ga_s2am_ard_3-2-1_52KHD_2022-06-05_final
2022-07-10 11:55:19	ga_s2am_ard_3-2-1_50JNR_2022-07-10_final
2022-07-16 10:36:29	ga_s2am_ard_3-2-1_53HLE_2022-07-16_final
2022-07-21 11:25:39	ga_s2am_ard_3-2-1_51JWJ_2022-07-21_final
2022-08-02 10:26:43	ga_s2am_ard_3-2-1_53HQC_2022-08-02_final
2022-09-01 12:04:30	ga_s2am_ard_3-2-1_49KGQ_2022-09-01_final.stac-item
2022-09-05 11:47:18	ga_s2am_ard_3-2-1_50HNH_2022-09-05_final.stac-item
2022-09-30 10:53:07	ga_s2am_ard_3-2-1_52KHC_2022-09-30_final.stac-item
2022-10-12 11:34:48	ga_s2am_ard_3-2-1_51JVM_2022-10-12_final.stac-item
2022-10-12 11:35:00	ga_s2am_ard_3-2-1_51JWL_2022-10-12_final.stac-item
2022-11-03 10:36:14	ga_s2am_ard_3-2-1_53HME_2022-11-03_final.stac-item
2022-11-03 10:36:36	ga_s2am_ard_3-2-1_53HPC_2022-11-03_final.stac-item
2022-12-25 11:11:43	ga_s2am_ard_3-2-1_52LFH_2022-12-25_final.stac-item
2023-01-20 11:35:39	ga_s2am_ard_3-2-1_51JUH_2023-01-20_final.stac-item
2023-02-20 11:00:42	ga_s2am_ard_3-2-1_52LHM_2023-02-20_final.stac-item
2023-02-28 10:26:58	ga_s2am_ard_3-2-1_53HQA_2023-02-28_final.stac-item
2023-03-24 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-03-24_final.stac-item
2023-04-01 11:04:27	ga_s2am_ard_3-2-1_52JFS_2023-04-01_final.stac-item
2023-05-19 10:26:56	ga_s2am_ard_3-2-1_53HNB_2023-05-19_final.stac-item
2023-06-18 12:04:17	ga_s2am_ard_3-2-1_50KKV_2023-06-18_final.stac-item
2023-06-18 12:04:40	ga_s2am_ard_3-2-1_50JMT_2023-06-18_final.stac-item
2023-06-29 11:31:46	ga_s2am_ard_3-2-1_51LXD_2023-06-29_final.stac-item
2023-10-12 10:46:22	ga_s2am_ard_3-2-1_53HLD_2023-10-12_final.stac-item
2023-11-26 11:36:55	ga_s2am_ard_3-2-1_51HTC_2023-11-26_final.stac-item
2023-12-28 12:14:28	ga_s2am_ard_3-2-1_49KFP_2023-12-28_nrt.stac-item
2024-01-15 11:32:22	ga_s2am_ard_3-2-1_51KWA_2024-01-15_final.stac-item
2024-03-19 11:15:13	ga_s2am_ard_3-2-1_52JDP_2024-03-19_final.stac-item
2024-03-25 11:33:17	ga_s2am_ard_3-2-1_51KVT_2024-03-25_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