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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-03-24 11:16:56	ga_s2am_ard_3-2-1_51KYB_2016-03-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JVG_2016-03-24_final.stac-item
2016-04-16 11:36:04	ga_s2am_ard_3-2-1_50JQM_2016-04-16_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JUG_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNR_2016-04-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JUG_2016-05-03_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLS_2016-05-22_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KDU_2016-05-27_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KYT_2016-07-15_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JFT_2016-07-23_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KTU_2016-08-17_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HYD_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52LEK_2016-08-18_final.stac-item
2016-08-28 11:12:16	ga_s2am_ard_3-2-1_52KCC_2016-08-28_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51LZD_2016-08-31_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JPL_2016-09-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-10-16_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVU_2016-11-22_final.stac-item
2017-02-08 10:52:11	ga_s2am_ard_3-2-1_52KHD_2017-02-08_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGK_2017-03-21_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JFN_2017-04-03_final.stac-item
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-21_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KRD_2017-06-06_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTL_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KYB_2017-09-28_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KHS_2017-10-20_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52HCK_2018-02-26_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KVR_2018-03-07_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HWC_2018-03-21_final.stac-item
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQD_2018-04-22_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMG_2018-05-22_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50KQV_2018-06-11_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMM_2018-06-21_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KEA_2018-07-09_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVS_2018-11-02_final
2018-11-12 11:31:19	ga_s2am_ard_3-2-1_51LYE_2018-11-12_final
2018-11-12 11:36:52	ga_s2am_ard_3-2-1_51HUC_2018-11-12_final
2019-02-20 11:33:38	ga_s2am_ard_3-2-1_51KWR_2019-02-20_final
2019-04-18 11:27:04	ga_s2am_ard_3-2-1_51HUC_2019-04-18_final
2019-05-04 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-05-04_final
2019-05-17 11:53:07	ga_s2am_ard_3-2-1_50KQD_2019-05-17_final.stac-item
2019-06-10 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-06-10_final
2019-06-27 11:23:32	ga_s2am_ard_3-2-1_52KCA_2019-06-27_final
2019-07-10 11:33:08	ga_s2am_ard_3-2-1_51KXU_2019-07-10_final
2019-08-06 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-08-06_final
2019-10-01 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-10-01_final
2019-11-28 11:02:15	ga_s2am_ard_3-2-1_52KGF_2019-11-28_final
2019-12-01 11:12:27	ga_s2am_ard_3-2-1_52KFE_2019-12-01_final
2019-12-17 11:32:35	ga_s2am_ard_3-2-1_51KXV_2019-12-17_final
2019-12-23 11:52:57	ga_s2am_ard_3-2-1_50KQD_2019-12-23_final.stac-item
2020-01-27 11:02:43	ga_s2am_ard_3-2-1_52KGD_2020-01-27_final
2020-02-08 11:43:17	ga_s2am_ard_3-2-1_51KVS_2020-02-08_final
2020-02-15 11:32:48	ga_s2am_ard_3-2-1_51KXU_2020-02-15_final
2020-02-28 11:46:08	ga_s2am_ard_3-2-1_50JMM_2020-02-28_final
2020-05-28 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-05-28_final.stac-item
2020-05-28 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-05-28_final.stac-item
2020-06-01 11:24:10	ga_s2am_ard_3-2-1_51KWQ_2020-06-01_final
2020-07-13 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-13_final
2020-08-20 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-08-20_final
2020-08-29 11:53:08	ga_s2am_ard_3-2-1_50KQD_2020-08-29_final.stac-item
2020-09-15 11:43:19	ga_s2am_ard_3-2-1_51KUT_2020-09-15_final
2020-11-05 11:17:03	ga_s2am_ard_3-2-1_51HWC_2020-11-05_final.stac-item
2020-11-24 11:40:59	ga_s2am_ard_3-2-1_51LWG_2020-11-24_final.stac-item
2021-01-20 11:33:23	ga_s2am_ard_3-2-1_51KUT_2021-01-20_final
2021-02-09 11:33:41	ga_s2am_ard_3-2-1_51KWR_2021-02-09_final
2021-05-15 10:46:15	ga_s2am_ard_3-2-1_52HGK_2021-05-15_final.stac-item
2021-06-22 11:42:58	ga_s2am_ard_3-2-1_51KVU_2021-06-22_final
2021-07-06 11:26:50	ga_s2am_ard_3-2-1_51HXC_2021-07-06_final.stac-item
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final
2021-08-01 11:43:07	ga_s2am_ard_3-2-1_50KRD_2021-08-01_final
2021-10-10 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-10_final
2021-10-20 11:45:37	ga_s2am_ard_3-2-1_50JQP_2021-10-20_final
2021-10-23 11:52:25	ga_s2am_ard_3-2-1_50KQG_2021-10-23_final.stac-item
2021-12-02 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-12-02_final.stac-item
2021-12-30 11:13:06	ga_s2am_ard_3-2-1_52KDC_2021-12-30_final
2022-01-18 11:42:09	ga_s2am_ard_3-2-1_51KWB_2022-01-18_final
2022-01-25 11:32:58	ga_s2am_ard_3-2-1_51KWU_2022-01-25_final
2022-08-03 11:33:01	ga_s2am_ard_3-2-1_51KYU_2022-08-03_final
2022-08-03 11:36:44	ga_s2am_ard_3-2-1_50HQK_2022-08-03_final
2022-09-01 12:03:56	ga_s2am_ard_3-2-1_50KKB_2022-09-01_final.stac-item
2022-09-29 11:23:35	ga_s2am_ard_3-2-1_51KXS_2022-09-29_final.stac-item
2022-11-01 11:31:28	ga_s2am_ard_3-2-1_51LYE_2022-11-01_final.stac-item
2023-01-14 11:13:27	ga_s2am_ard_3-2-1_52KEA_2023-01-14_final.stac-item
2023-02-13 11:16:57	ga_s2am_ard_3-2-1_51HWC_2023-02-13_final.stac-item
2023-04-04 11:13:21	ga_s2am_ard_3-2-1_52KCB_2023-04-04_final.stac-item
2023-05-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-05-14_final.stac-item
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final.stac-item
2023-09-07 11:36:52	ga_s2am_ard_3-2-1_51HTD_2023-09-07_final.stac-item
2023-10-04 11:23:44	ga_s2am_ard_3-2-1_51KXR_2023-10-04_final.stac-item
2023-11-16 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-11-16_final.stac-item
2023-11-16 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-11-16_final.stac-item
2024-01-25 11:33:28	ga_s2am_ard_3-2-1_51KUS_2024-01-25_final.stac-item
2024-01-29 11:11:32	ga_s2am_ard_3-2-1_52LDJ_2024-01-29_final.stac-item
2024-02-28 11:11:36	ga_s2am_ard_3-2-1_52LDJ_2024-02-28_final.stac-item
2024-03-18 11:42:42	ga_s2am_ard_3-2-1_51KVV_2024-03-18_final.stac-item
2024-03-29 11:12:35	ga_s2am_ard_3-2-1_52KDE_2024-03-29_final.stac-item
2024-04-20 11:56:43	ga_s2am_ard_3-2-1_50HLK_2024-04-20_final.stac-item
2024-04-24 11:33:26	ga_s2am_ard_3-2-1_51KXS_2024-04-24_final.stac-item
2024-04-25 11:03:51	ga_s2am_ard_3-2-1_52KEV_2024-04-25_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

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