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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HWE_2015-11-25_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKP_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HPJ_2016-01-20_final.stac-item
2016-05-24 10:55:20	ga_s2am_ard_3-2-1_52JGP_2016-05-24_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNJ_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVK_2016-06-05_final.stac-item
2016-06-23 10:52:21	ga_s2am_ard_3-2-1_52JHT_2016-06-23_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-08-17_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KTS_2016-09-26_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51HYD_2016-10-17_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52KGA_2016-10-31_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_52KBC_2016-12-09_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51LVC_2016-12-25_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVB_2017-02-13_final
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JEM_2017-05-12_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51LWC_2017-09-01_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HNK_2017-09-21_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUT_2017-09-21_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KFD_2017-10-09_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JEM_2017-11-08_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KCE_2018-01-10_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWT_2018-02-15_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51HYD_2018-03-01_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KDV_2018-03-11_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JCQ_2018-06-09_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPQ_2018-06-18_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JFM_2018-07-27_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JHS_2018-08-02_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52KGV_2018-08-02_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51HTD_2018-10-03_final
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_52LDH_2018-10-20_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JCM_2018-10-27_final
2019-03-16 11:15:59	ga_s2am_ard_3-2-1_52JCL_2019-03-16_final
2019-03-22 11:32:42	ga_s2am_ard_3-2-1_51KWV_2019-03-22_final
2019-06-23 11:45:54	ga_s2am_ard_3-2-1_50JPN_2019-06-23_final
2019-07-27 11:23:15	ga_s2am_ard_3-2-1_51KYT_2019-07-27_final
2019-10-06 10:55:58	ga_s2am_ard_3-2-1_52JGL_2019-10-06_final
2019-12-10 11:42:24	ga_s2am_ard_3-2-1_51KVA_2019-12-10_final
2019-12-20 11:43:05	ga_s2am_ard_3-2-1_51KVT_2019-12-20_final
2020-01-23 11:26:11	ga_s2am_ard_3-2-1_51JUF_2020-01-23_final
2020-02-18 11:44:34	ga_s2am_ard_3-2-1_51JUM_2020-02-18_final
2020-03-13 11:25:20	ga_s2am_ard_3-2-1_51JXJ_2020-03-13_final
2020-03-16 11:33:05	ga_s2am_ard_3-2-1_51KXT_2020-03-16_final
2020-03-23 11:26:11	ga_s2am_ard_3-2-1_51JVF_2020-03-23_final
2020-04-02 11:26:01	ga_s2am_ard_3-2-1_51JUG_2020-04-02_final
2020-04-25 11:33:43	ga_s2am_ard_3-2-1_51KWR_2020-04-25_final
2020-05-22 11:23:27	ga_s2am_ard_3-2-1_51KZS_2020-05-22_final
2020-06-24 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-06-24_final
2020-08-03 11:33:58	ga_s2am_ard_3-2-1_51KXQ_2020-08-03_final
2020-08-17 11:13:19	ga_s2am_ard_3-2-1_52KEB_2020-08-17_final
2020-10-19 11:26:06	ga_s2am_ard_3-2-1_51JVG_2020-10-19_final
2020-12-14 11:43:26	ga_s2am_ard_3-2-1_51KUS_2020-12-14_final
2020-12-14 11:47:07	ga_s2am_ard_3-2-1_50HMH_2020-12-14_final
2021-01-31 11:05:02	ga_s2am_ard_3-2-1_52JEQ_2021-01-31_final
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final
2021-05-31 11:03:50	ga_s2am_ard_3-2-1_52KEV_2021-05-31_final
2021-08-01 11:42:33	ga_s2am_ard_3-2-1_51KUA_2021-08-01_final
2021-08-07 12:04:42	ga_s2am_ard_3-2-1_50JLT_2021-08-07_final
2021-08-08 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-08-08_final
2021-09-23 11:53:42	ga_s2am_ard_3-2-1_50KNB_2021-09-23_final
2021-10-30 11:42:47	ga_s2am_ard_3-2-1_51KVV_2021-10-30_final
2021-11-22 11:54:08	ga_s2am_ard_3-2-1_50KNV_2021-11-22_final
2022-03-10 11:13:33	ga_s2am_ard_3-2-1_51KZS_2022-03-10_final
2022-03-19 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-03-19_final
2022-03-25 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-03-25_final
2022-04-04 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-04-04_final
2022-04-12 11:23:02	ga_s2am_ard_3-2-1_51KXU_2022-04-12_final
2022-05-12 11:23:25	ga_s2am_ard_3-2-1_51KZS_2022-05-12_final
2022-05-12 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-05-12_final
2022-05-25 11:33:38	ga_s2am_ard_3-2-1_51KVS_2022-05-25_final
2022-06-02 10:55:57	ga_s2am_ard_3-2-1_52JEM_2022-06-02_final
2022-06-10 11:53:30	ga_s2am_ard_3-2-1_50KPC_2022-06-10_final
2022-06-18 11:15:18	ga_s2am_ard_3-2-1_52JBQ_2022-06-18_final
2022-07-23 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-07-23_final
2022-09-29 11:25:06	ga_s2am_ard_3-2-1_51JWL_2022-09-29_final.stac-item
2022-10-10 10:55:48	ga_s2am_ard_3-2-1_52JGM_2022-10-10_final.stac-item
2022-11-10 12:06:13	ga_s2am_ard_3-2-1_50JKM_2022-11-10_final.stac-item
2022-11-25 11:13:55	ga_s2am_ard_3-2-1_52KCV_2022-11-25_final.stac-item
2022-12-11 11:32:58	ga_s2am_ard_3-2-1_51KWU_2022-12-11_final.stac-item
2023-02-13 12:50:58	ga_s2am_ard_3-2-1_48LWP_2023-02-13_final.stac-item
2023-03-19 10:54:19	ga_s2am_ard_3-2-1_52JFT_2023-03-19_final.stac-item
2023-03-21 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-03-21_final.stac-item
2023-03-24 11:41:57	ga_s2am_ard_3-2-1_51LVC_2023-03-24_final.stac-item
2023-04-01 11:03:08	ga_s2am_ard_3-2-1_52KHB_2023-04-01_final.stac-item
2023-04-07 11:23:07	ga_s2am_ard_3-2-1_51KZT_2023-04-07_final.stac-item
2023-05-27 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-05-27_final.stac-item
2023-06-06 11:22:59	ga_s2am_ard_3-2-1_51KYU_2023-06-06_final.stac-item
2023-06-23 11:13:33	ga_s2am_ard_3-2-1_52KEA_2023-06-23_final.stac-item
2023-07-03 11:14:36	ga_s2am_ard_3-2-1_52JDS_2023-07-03_final.stac-item
2023-08-01 11:43:42	ga_s2am_ard_3-2-1_50KQB_2023-08-01_final.stac-item
2023-09-20 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-20_final.stac-item
2023-10-10 11:43:28	ga_s2am_ard_3-2-1_51KUS_2023-10-10_final.stac-item
2023-10-10 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-10-10_final.stac-item
2023-12-03 11:22:53	ga_s2am_ard_3-2-1_51KXU_2023-12-03_final.stac-item
2024-01-02 11:23:07	ga_s2am_ard_3-2-1_51KYT_2024-01-02_final.stac-item
2024-01-22 11:23:27	ga_s2am_ard_3-2-1_51KYR_2024-01-22_final.stac-item
2024-03-12 11:21:39	ga_s2am_ard_3-2-1_52LBJ_2024-03-12_final.stac-item
2024-03-26 11:03:28	ga_s2am_ard_3-2-1_52KGA_2024-03-26_final.stac-item
2024-04-24 11:35:33	ga_s2am_ard_3-2-1_51JUJ_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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