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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KYT_2016-01-07_final.stac-item
2016-02-10 11:07:16	ga_s2am_ard_3-2-1_52LEL_2016-02-10_final.stac-item
2016-04-07 11:00:38	ga_s2am_ard_3-2-1_52LGM_2016-04-07_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HQK_2016-04-29_final.stac-item
2016-05-07 11:00:46	ga_s2am_ard_3-2-1_52LHM_2016-05-07_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53HPC_2016-08-16_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JPL_2016-09-13_final.stac-item
2017-03-24 10:32:04	ga_s2am_ard_3-2-1_53JQJ_2017-03-24_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHR_2017-03-31_final.stac-item
2017-11-06 10:26:36	ga_s2am_ard_3-2-1_53HNB_2017-11-06_final
2018-01-20 11:07:06	ga_s2am_ard_3-2-1_52LEJ_2018-01-20_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_52JCM_2018-03-31_final
2018-06-14 10:17:05	ga_s2am_ard_3-2-1_53HQC_2018-06-14_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JFS_2018-08-05_final
2018-09-12 10:21:59	ga_s2am_ard_3-2-1_53JQL_2018-09-12_final
2018-12-16 11:10:35	ga_s2am_ard_3-2-1_52LGM_2018-12-16_final
2019-01-14 11:43:20	ga_s2am_ard_3-2-1_51KVS_2019-01-14_final
2019-01-22 11:02:35	ga_s2am_ard_3-2-1_52KFD_2019-01-22_final
2019-02-13 11:43:08	ga_s2am_ard_3-2-1_51KVT_2019-02-13_final
2019-03-19 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2019-03-19_final
2019-03-21 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2019-03-21_final
2019-03-23 11:01:15	ga_s2am_ard_3-2-1_52LGK_2019-03-23_final
2019-04-24 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-04-24_final.stac-item
2019-06-03 11:42:48	ga_s2am_ard_3-2-1_51KUV_2019-06-03_final
2019-06-07 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2019-06-07_final
2019-06-10 11:33:15	ga_s2am_ard_3-2-1_51KWT_2019-06-10_final
2019-06-26 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-06-26_final
2019-08-08 10:24:44	ga_s2am_ard_3-2-1_53JQL_2019-08-08_final
2019-10-08 11:33:47	ga_s2am_ard_3-2-1_51KVR_2019-10-08_final
2019-11-24 11:23:28	ga_s2am_ard_3-2-1_51KXS_2019-11-24_final
2019-11-29 10:34:36	ga_s2am_ard_3-2-1_53JPL_2019-11-29_final
2019-11-30 11:43:24	ga_s2am_ard_3-2-1_51KVS_2019-11-30_final
2019-12-14 11:24:32	ga_s2am_ard_3-2-1_51JYM_2019-12-14_final
2019-12-26 12:05:46	ga_s2am_ard_3-2-1_50JLN_2019-12-26_final
2019-12-27 11:33:07	ga_s2am_ard_3-2-1_51KWT_2019-12-27_final
2019-12-30 11:42:55	ga_s2am_ard_3-2-1_51KUU_2019-12-30_final
2020-01-19 11:43:23	ga_s2am_ard_3-2-1_51KUS_2020-01-19_final
2020-02-08 11:43:24	ga_s2am_ard_3-2-1_51KTS_2020-02-08_final
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final
2020-03-07 11:00:26	ga_s2am_ard_3-2-1_52LHN_2020-03-07_final
2020-03-29 11:43:07	ga_s2am_ard_3-2-1_51KVT_2020-03-29_final
2020-04-15 11:33:12	ga_s2am_ard_3-2-1_51KWT_2020-04-15_final
2020-05-08 11:42:50	ga_s2am_ard_3-2-1_51KUV_2020-05-08_final
2020-06-09 10:44:34	ga_s2am_ard_3-2-1_53JPL_2020-06-09_final
2020-08-10 11:24:11	ga_s2am_ard_3-2-1_52KBU_2020-08-10_final
2020-08-26 11:43:08	ga_s2am_ard_3-2-1_51KTU_2020-08-26_final
2020-11-18 11:23:46	ga_s2am_ard_3-2-1_51KXR_2020-11-18_final
2020-11-25 11:14:10	ga_s2am_ard_3-2-1_51KZP_2020-11-25_final
2020-11-30 10:26:50	ga_s2am_ard_3-2-1_53HPB_2020-11-30_final
2021-02-10 11:00:29	ga_s2am_ard_3-2-1_52LHN_2021-02-10_final
2021-02-11 10:36:01	ga_s2am_ard_3-2-1_53HPE_2021-02-11_final
2021-02-16 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-02-16_final
2021-03-31 11:33:13	ga_s2am_ard_3-2-1_51KVT_2021-03-31_final
2021-04-22 10:36:46	ga_s2am_ard_3-2-1_53HNB_2021-04-22_final
2021-06-09 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-16 11:24:04	ga_s2am_ard_3-2-1_51KZP_2021-06-16_final
2021-07-13 11:11:22	ga_s2am_ard_3-2-1_52LEK_2021-07-13_final.stac-item
2021-09-27 11:33:16	ga_s2am_ard_3-2-1_51KWT_2021-09-27_final
2021-12-18 10:35:02	ga_s2am_ard_3-2-1_53JQJ_2021-12-18_final
2022-01-19 11:13:22	ga_s2am_ard_3-2-1_52KCB_2022-01-19_final
2022-03-07 11:00:52	ga_s2am_ard_3-2-1_52LGM_2022-03-07_final
2022-04-06 11:00:50	ga_s2am_ard_3-2-1_52LGM_2022-04-06_final
2022-05-10 10:46:10	ga_s2am_ard_3-2-1_53HME_2022-05-10_final
2022-05-17 10:34:38	ga_s2am_ard_3-2-1_53JQL_2022-05-17_final
2022-05-29 11:13:59	ga_s2am_ard_3-2-1_52KCV_2022-05-29_final
2022-06-24 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-06-24_final
2022-06-27 11:43:16	ga_s2am_ard_3-2-1_51KTU_2022-06-27_final
2022-06-28 11:13:35	ga_s2am_ard_3-2-1_52KCB_2022-06-28_final
2022-07-18 11:14:50	ga_s2am_ard_3-2-1_51JZM_2022-07-18_final
2022-07-22 10:55:42	ga_s2am_ard_3-2-1_52JFN_2022-07-22_final
2022-08-03 11:33:56	ga_s2am_ard_3-2-1_51KVR_2022-08-03_final
2022-08-03 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-08-03_final
2022-08-09 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-08-09_final
2022-09-05 11:41:09	ga_s2am_ard_3-2-1_51LWG_2022-09-05_final.stac-item
2022-09-08 11:57:20	ga_s2am_ard_3-2-1_50HLH_2022-09-08_final.stac-item
2022-09-15 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-09-15_final.stac-item
2022-11-22 11:00:45	ga_s2am_ard_3-2-1_52LHM_2022-11-22_final.stac-item
2022-12-06 10:45:47	ga_s2am_ard_3-2-1_52JGM_2022-12-06_final.stac-item
2022-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2022-12-20_final.stac-item
2022-12-21 11:33:20	ga_s2am_ard_3-2-1_51KUT_2022-12-21_final.stac-item
2022-12-31 11:33:21	ga_s2am_ard_3-2-1_51KUT_2022-12-31_final.stac-item
2022-12-31 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-31_final.stac-item
2023-01-17 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-01-17_final.stac-item
2023-01-21 11:02:54	ga_s2am_ard_3-2-1_52KGC_2023-01-21_final.stac-item
2023-04-24 11:10:32	ga_s2am_ard_3-2-1_52LFN_2023-04-24_final.stac-item
2023-07-03 11:11:39	ga_s2am_ard_3-2-1_52LEJ_2023-07-03_final.stac-item
2023-07-09 11:33:18	ga_s2am_ard_3-2-1_51KWT_2023-07-09_final.stac-item
2023-08-28 11:33:28	ga_s2am_ard_3-2-1_51KUT_2023-08-28_final.stac-item
2023-09-06 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-09-06_final.stac-item
2023-10-09 10:34:53	ga_s2am_ard_3-2-1_53JQJ_2023-10-09_final.stac-item
2023-11-16 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-11-16_final.stac-item
2023-12-16 11:33:23	ga_s2am_ard_3-2-1_51KWS_2023-12-16_final.stac-item
2023-12-18 10:35:22	ga_s2am_ard_3-2-1_53JNH_2023-12-18_final.stac-item
2023-12-21 10:45:40	ga_s2am_ard_3-2-1_53JKG_2023-12-21_final.stac-item
2024-01-14 10:26:40	ga_s2am_ard_3-2-1_53HQB_2024-01-14_final.stac-item
2024-01-22 11:23:57	ga_s2am_ard_3-2-1_52KBU_2024-01-22_final.stac-item
2024-03-08 11:46:30	ga_s2am_ard_3-2-1_50HQK_2024-03-08_final.stac-item
2024-03-19 11:11:13	ga_s2am_ard_3-2-1_52LGK_2024-03-19_final.stac-item
2024-04-29 10:44:23	ga_s2am_ard_3-2-1_53JNM_2024-04-29_final.stac-item
2024-06-02 12:05:59	ga_s2am_ard_3-2-1_50JKN_2024-06-02_nrt.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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