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
2016-03-08 11:02:38	ga_s2am_ard_3-2-1_52JGT_2016-03-08_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_50KLA_2016-07-24_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HUD_2016-08-04_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KTU_2016-09-06_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-09-25_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KCV_2017-01-15_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52HBK_2017-04-15_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KVT_2017-06-13_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JCQ_2017-07-11_final
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-07-19_final
2017-08-09 11:36:05	ga_s2am_ard_3-2-1_50JQL_2017-08-09_final
2017-11-07 11:26:54	ga_s2am_ard_3-2-1_51LZE_2017-11-07_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPP_2017-12-10_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HVE_2018-02-02_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JUG_2018-02-02_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51KYS_2018-04-23_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HQH_2018-06-05_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51KZP_2018-06-09_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPL_2018-06-18_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_50KKB_2018-07-07_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JFM_2018-08-06_final
2018-11-22 11:37:00	ga_s2am_ard_3-2-1_50HPH_2018-11-22_final
2019-03-16 11:15:44	ga_s2am_ard_3-2-1_52JCM_2019-03-16_final
2019-06-10 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2019-06-10_final
2019-06-24 11:15:04	ga_s2am_ard_3-2-1_52JDQ_2019-06-24_final
2019-06-30 11:32:05	ga_s2am_ard_3-2-1_51LWC_2019-06-30_final
2019-07-01 11:06:15	ga_s2am_ard_3-2-1_52JBL_2019-07-01_final
2019-07-27 11:23:11	ga_s2am_ard_3-2-1_51KZT_2019-07-27_final
2019-08-09 11:33:08	ga_s2am_ard_3-2-1_51KWU_2019-08-09_final
2019-09-05 11:23:13	ga_s2am_ard_3-2-1_51KXT_2019-09-05_final
2019-11-20 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-11-20_final
2019-11-27 11:32:58	ga_s2am_ard_3-2-1_51KWU_2019-11-27_final
2019-12-21 11:16:02	ga_s2am_ard_3-2-1_51JYF_2019-12-21_final
2019-12-29 12:14:02	ga_s2am_ard_3-2-1_50KKV_2019-12-29_final
2020-05-05 11:33:02	ga_s2am_ard_3-2-1_51KVU_2020-05-05_final
2020-07-24 11:33:04	ga_s2am_ard_3-2-1_51KVU_2020-07-24_final
2020-08-03 11:37:07	ga_s2am_ard_3-2-1_51HTC_2020-08-03_final
2020-09-08 11:55:14	ga_s2am_ard_3-2-1_50JMR_2020-09-08_final
2020-10-05 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-10-05_final
2020-11-15 11:13:33	ga_s2am_ard_3-2-1_52KEA_2020-11-15_final
2020-12-22 11:02:46	ga_s2am_ard_3-2-1_52KFD_2020-12-22_final
2021-01-14 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-14_final
2021-01-20 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-20_final
2021-01-24 11:14:32	ga_s2am_ard_3-2-1_52JDS_2021-01-24_final
2021-04-02 12:13:36	ga_s2am_ard_3-2-1_50KKB_2021-04-02_final
2021-04-10 11:34:53	ga_s2am_ard_3-2-1_51JVL_2021-04-10_final
2021-04-27 11:23:25	ga_s2am_ard_3-2-1_51KXS_2021-04-27_final
2021-05-04 11:13:52	ga_s2am_ard_3-2-1_52KBV_2021-05-04_final
2021-05-04 11:15:35	ga_s2am_ard_3-2-1_52JBN_2021-05-04_final
2021-05-24 11:14:42	ga_s2am_ard_3-2-1_51JYM_2021-05-24_final
2021-05-29 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-05-29_final
2021-06-09 11:32:55	ga_s2am_ard_3-2-1_51KXU_2021-06-09_final
2021-06-29 11:33:18	ga_s2am_ard_3-2-1_51KVT_2021-06-29_final
2021-10-01 11:16:10	ga_s2am_ard_3-2-1_52JBL_2021-10-01_final
2021-10-27 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2021-10-27_final
2021-11-02 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-11-02_final
2021-11-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-11-18_final
2021-11-23 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-11-23_final
2021-12-08 12:13:38	ga_s2am_ard_3-2-1_50KKB_2021-12-08_final
2022-01-19 11:14:31	ga_s2am_ard_3-2-1_52JDS_2022-01-19_final
2022-01-22 11:23:06	ga_s2am_ard_3-2-1_52KBC_2022-01-22_final
2022-01-29 11:13:39	ga_s2am_ard_3-2-1_52KBA_2022-01-29_final
2022-03-14 10:56:04	ga_s2am_ard_3-2-1_52JFL_2022-03-14_final
2022-03-15 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-03-15_final
2022-03-27 11:03:56	ga_s2am_ard_3-2-1_52KDV_2022-03-27_final
2022-04-02 11:25:43	ga_s2am_ard_3-2-1_51JVH_2022-04-02_final
2022-04-12 11:23:08	ga_s2am_ard_3-2-1_52KBC_2022-04-12_final
2022-04-19 11:16:45	ga_s2am_ard_3-2-1_51HXD_2022-04-19_final
2022-05-18 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2022-05-18_final
2022-05-31 11:54:04	ga_s2am_ard_3-2-1_50KMA_2022-05-31_final
2022-06-18 11:15:44	ga_s2am_ard_3-2-1_52JCN_2022-06-18_final
2022-06-28 11:16:25	ga_s2am_ard_3-2-1_52JBL_2022-06-28_final
2022-07-10 11:55:11	ga_s2am_ard_3-2-1_50JLS_2022-07-10_final
2022-07-20 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2022-07-20_final
2022-08-16 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-08-16_final
2022-08-24 11:06:19	ga_s2am_ard_3-2-1_52JCL_2022-08-24_final.stac-item
2022-09-03 11:03:29	ga_s2am_ard_3-2-1_52KFB_2022-09-03_final.stac-item
2022-10-05 11:46:37	ga_s2am_ard_3-2-1_50HQK_2022-10-05_final.stac-item
2022-11-07 11:56:00	ga_s2am_ard_3-2-1_50JLN_2022-11-07_final.stac-item
2022-11-12 11:06:10	ga_s2am_ard_3-2-1_52JCL_2022-11-12_final.stac-item
2022-12-01 11:33:38	ga_s2am_ard_3-2-1_51KXR_2022-12-01_final.stac-item
2022-12-18 11:22:11	ga_s2am_ard_3-2-1_52KDF_2022-12-18_final.stac-item
2023-01-03 11:46:12	ga_s2am_ard_3-2-1_50JMM_2023-01-03_final.stac-item
2023-02-02 13:21:43	ga_s2am_ard_3-2-1_47LKG_2023-02-02_interim.stac-item
2023-05-01 11:04:36	ga_s2am_ard_3-2-1_52JDS_2023-05-01_final.stac-item
2023-06-03 11:13:58	ga_s2am_ard_3-2-1_52KBV_2023-06-03_final.stac-item
2023-06-17 10:56:04	ga_s2am_ard_3-2-1_52JFL_2023-06-17_final.stac-item
2023-06-26 11:23:24	ga_s2am_ard_3-2-1_52KBB_2023-06-26_final.stac-item
2023-08-28 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2023-08-28_final.stac-item
2023-09-30 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-09-30_final.stac-item
2023-11-03 11:23:13	ga_s2am_ard_3-2-1_51KZS_2023-11-03_final.stac-item
2023-11-13 11:23:09	ga_s2am_ard_3-2-1_51KYT_2023-11-13_final.stac-item
2023-11-16 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-11-16_final.stac-item
2023-11-23 11:23:20	ga_s2am_ard_3-2-1_51KYS_2023-11-23_final.stac-item
2023-12-19 11:46:15	ga_s2am_ard_3-2-1_50JPL_2023-12-19_final.stac-item
2024-01-05 11:32:58	ga_s2am_ard_3-2-1_51KVU_2024-01-05_final.stac-item
2024-02-08 11:12:13	ga_s2am_ard_3-2-1_52KEF_2024-02-08_final.stac-item
2024-02-08 11:12:42	ga_s2am_ard_3-2-1_52KED_2024-02-08_final.stac-item
2024-02-14 11:33:36	ga_s2am_ard_3-2-1_51KXR_2024-02-14_final.stac-item
2024-03-05 11:36:27	ga_s2am_ard_3-2-1_50JPL_2024-03-05_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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