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
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51JVF_2015-09-29_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50JKM_2015-10-08_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HXD_2016-05-10_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCA_2016-05-20_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KVB_2016-05-29_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_52JEL_2016-09-01_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51LZC_2016-11-22_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51KZQ_2016-11-29_final.stac-item
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_52JGM_2016-12-17_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KDU_2016-12-26_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCS_2017-01-25_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KDF_2017-02-04_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52JCL_2017-04-02_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51JYM_2017-05-25_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50KLV_2017-07-09_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HLH_2017-08-05_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KXQ_2017-08-26_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KGQ_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKN_2018-05-05_final
2018-08-09 10:37:27	ga_s2am_ard_3-2-1_52JGM_2018-08-09_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KVR_2018-08-14_final
2018-08-15 11:05:44	ga_s2am_ard_3-2-1_52JEL_2018-08-15_final
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_52JGL_2018-10-28_final
2018-11-26 11:16:00	ga_s2am_ard_3-2-1_51JYF_2018-11-26_final
2018-12-06 11:16:18	ga_s2am_ard_3-2-1_51HXE_2018-12-06_final
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final
2019-04-04 11:43:16	ga_s2am_ard_3-2-1_51KUT_2019-04-04_final
2019-04-11 11:33:04	ga_s2am_ard_3-2-1_51KYT_2019-04-11_final
2019-04-14 11:45:52	ga_s2am_ard_3-2-1_50JPN_2019-04-14_final
2019-04-30 12:03:41	ga_s2am_ard_3-2-1_50KMB_2019-04-30_final
2019-06-01 11:04:46	ga_s2am_ard_3-2-1_52JFR_2019-06-01_final
2019-08-13 11:13:19	ga_s2am_ard_3-2-1_52KEB_2019-08-13_final
2019-09-15 11:26:31	ga_s2am_ard_3-2-1_51HUE_2019-09-15_final
2019-10-06 10:55:48	ga_s2am_ard_3-2-1_52JFM_2019-10-06_final
2019-10-19 11:03:20	ga_s2am_ard_3-2-1_52KFB_2019-10-19_final
2020-01-13 11:21:20	ga_s2am_ard_3-2-1_51LZE_2020-01-13_final
2020-01-19 11:43:05	ga_s2am_ard_3-2-1_51KVT_2020-01-19_final
2020-02-14 12:06:03	ga_s2am_ard_3-2-1_50JKM_2020-02-14_final
2020-05-26 11:04:42	ga_s2am_ard_3-2-1_52JDS_2020-05-26_final
2020-05-29 11:10:43	ga_s2am_ard_3-2-1_52LHM_2020-05-29_final
2020-07-01 11:26:02	ga_s2am_ard_3-2-1_51JWG_2020-07-01_final
2020-07-31 11:24:11	ga_s2am_ard_3-2-1_52KBU_2020-07-31_final
2020-08-10 11:26:28	ga_s2am_ard_3-2-1_51HXE_2020-08-10_final
2020-12-11 11:35:23	ga_s2am_ard_3-2-1_51JVJ_2020-12-11_final
2020-12-21 11:33:37	ga_s2am_ard_3-2-1_51KXR_2020-12-21_final
2021-01-07 11:22:51	ga_s2am_ard_3-2-1_51KYU_2021-01-07_final
2021-01-07 11:23:29	ga_s2am_ard_3-2-1_51KXS_2021-01-07_final
2021-02-06 11:26:32	ga_s2am_ard_3-2-1_51HUE_2021-02-06_final
2021-05-30 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-05-30_final
2021-06-09 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-09_final
2021-07-26 11:24:08	ga_s2am_ard_3-2-1_52KBU_2021-07-26_final
2021-08-21 11:42:37	ga_s2am_ard_3-2-1_51KVV_2021-08-21_final
2021-09-27 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2021-09-27_final
2021-10-27 11:36:19	ga_s2am_ard_3-2-1_51JUF_2021-10-27_final
2021-11-20 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-11-20_final
2021-12-20 11:11:02	ga_s2am_ard_3-2-1_52LFL_2021-12-20_final
2022-01-26 11:06:37	ga_s2am_ard_3-2-1_51HYD_2022-01-26_final
2022-01-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-01-27_final
2022-02-04 11:32:46	ga_s2am_ard_3-2-1_51KVV_2022-02-04_final
2022-03-03 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-03-03_final
2022-03-29 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2022-03-29_final
2022-03-30 11:14:37	ga_s2am_ard_3-2-1_52JCS_2022-03-30_final
2022-05-18 11:42:47	ga_s2am_ard_3-2-1_51KVV_2022-05-18_final
2022-05-25 11:32:29	ga_s2am_ard_3-2-1_51KYA_2022-05-25_final
2022-07-11 11:23:23	ga_s2am_ard_3-2-1_51KYT_2022-07-11_final
2022-07-15 11:06:13	ga_s2am_ard_3-2-1_52JCL_2022-07-15_final
2022-07-24 11:32:30	ga_s2am_ard_3-2-1_51KVB_2022-07-24_final
2022-10-22 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-10-22_final.stac-item
2022-10-25 11:46:03	ga_s2am_ard_3-2-1_50JQM_2022-10-25_final.stac-item
2022-11-16 10:46:26	ga_s2am_ard_3-2-1_53HLD_2022-11-16_final.stac-item
2022-11-26 10:46:23	ga_s2am_ard_3-2-1_53HLD_2022-11-26_final.stac-item
2022-12-22 11:04:04	ga_s2am_ard_3-2-1_52KDU_2022-12-22_final.stac-item
2022-12-29 10:53:13	ga_s2am_ard_3-2-1_52KHB_2022-12-29_final.stac-item
2022-12-31 11:33:08	ga_s2am_ard_3-2-1_51KXT_2022-12-31_final.stac-item
2023-01-04 11:12:02	ga_s2am_ard_3-2-1_52KEG_2023-01-04_final.stac-item
2023-01-18 10:54:25	ga_s2am_ard_3-2-1_52JGS_2023-01-18_final.stac-item
2023-01-31 11:01:55	ga_s2am_ard_3-2-1_52KHG_2023-01-31_final.stac-item
2023-02-20 11:02:41	ga_s2am_ard_3-2-1_52KGD_2023-02-20_final.stac-item
2023-03-25 11:15:28	ga_s2am_ard_3-2-1_51JXJ_2023-03-25_final.stac-item
2023-03-28 11:24:30	ga_s2am_ard_3-2-1_51JZM_2023-03-28_final.stac-item
2023-04-13 11:44:42	ga_s2am_ard_3-2-1_51JTM_2023-04-13_final.stac-item
2023-06-03 11:16:07	ga_s2am_ard_3-2-1_52JBL_2023-06-03_final.stac-item
2023-06-09 11:36:41	ga_s2am_ard_3-2-1_50HPK_2023-06-09_final.stac-item
2023-06-09 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-09_final.stac-item
2023-06-29 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-06-29_final.stac-item
2023-06-30 11:04:47	ga_s2am_ard_3-2-1_52JFR_2023-06-30_final.stac-item
2023-08-08 11:36:47	ga_s2am_ard_3-2-1_51HUD_2023-08-08_final.stac-item
2023-10-17 11:33:30	ga_s2am_ard_3-2-1_51KVS_2023-10-17_final.stac-item
2023-10-21 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2023-10-21_final.stac-item
2023-11-13 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2023-11-13_final.stac-item
2023-11-17 11:05:36	ga_s2am_ard_3-2-1_52JFM_2023-11-17_final.stac-item
2023-12-07 11:00:39	ga_s2am_ard_3-2-1_52LHM_2023-12-07_final.stac-item
2024-02-08 11:11:26	ga_s2am_ard_3-2-1_52LFJ_2024-02-08_final.stac-item
2024-02-11 11:24:16	ga_s2am_ard_3-2-1_51JZN_2024-02-11_final.stac-item
2024-02-18 11:11:38	ga_s2am_ard_3-2-1_52LGH_2024-02-18_final.stac-item
2024-03-09 11:11:31	ga_s2am_ard_3-2-1_52LFJ_2024-03-09_final.stac-item
2024-03-31 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2024-03-31_final.stac-item
2024-04-18 11:16:47	ga_s2am_ard_3-2-1_51HWD_2024-04-18_final.stac-item
2024-04-24 11:36:31	ga_s2am_ard_3-2-1_51HUE_2024-04-24_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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