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
2015-08-31 11:04:27	ga_s2am_ard_3-2-1_52JDN_2015-08-31_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_52KDF_2015-12-22_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTC_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JUH_2016-03-07_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HPK_2016-09-13_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDM_2016-09-14_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50KRB_2016-09-26_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDB_2017-01-15_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51LVC_2017-01-24_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50JQL_2017-01-31_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52JCL_2017-02-21_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JYJ_2017-03-19_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KDB_2017-04-15_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51LWC_2017-05-04_final
2017-05-29 10:52:19	ga_s2am_ard_3-2-1_52KHE_2017-05-29_final
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KED_2017-10-09_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JVL_2017-12-24_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KYT_2018-04-26_final
2018-05-13 11:26:36	ga_s2am_ard_3-2-1_51HXD_2018-05-13_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50JRT_2018-06-05_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51KZR_2018-07-22_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JBL_2018-07-26_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPK_2018-08-07_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMH_2018-08-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKM_2018-08-23_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KCD_2018-10-17_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPN_2018-11-05_final
2018-11-26 11:16:20	ga_s2am_ard_3-2-1_51HYE_2018-11-26_final
2019-01-18 11:23:12	ga_s2am_ard_3-2-1_52KCB_2019-01-18_final
2019-01-21 11:31:17	ga_s2am_ard_3-2-1_51LZE_2019-01-21_final
2019-01-25 11:12:00	ga_s2am_ard_3-2-1_52KEG_2019-01-25_final
2019-02-07 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2019-02-07_final
2019-02-10 11:31:56	ga_s2am_ard_3-2-1_51KZB_2019-02-10_final
2019-03-02 11:34:00	ga_s2am_ard_3-2-1_51KXP_2019-03-02_final
2019-03-06 11:12:55	ga_s2am_ard_3-2-1_52KEC_2019-03-06_final
2019-03-16 11:15:47	ga_s2am_ard_3-2-1_52JBM_2019-03-16_final
2019-05-17 11:53:28	ga_s2am_ard_3-2-1_50KNC_2019-05-17_final
2019-06-23 11:46:06	ga_s2am_ard_3-2-1_51JTG_2019-06-23_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_49KGQ_2019-08-01_final
2019-09-15 11:27:01	ga_s2am_ard_3-2-1_51HUC_2019-09-15_final
2019-09-25 11:22:56	ga_s2am_ard_3-2-1_51KYU_2019-09-25_final
2019-10-15 11:23:01	ga_s2am_ard_3-2-1_51KZU_2019-10-15_final
2019-11-20 11:44:42	ga_s2am_ard_3-2-1_51JUM_2019-11-20_final
2019-11-30 11:43:35	ga_s2am_ard_3-2-1_51KVR_2019-11-30_final
2019-12-14 11:25:08	ga_s2am_ard_3-2-1_51JWK_2019-12-14_final
2020-01-10 11:15:37	ga_s2am_ard_3-2-1_51JXH_2020-01-10_final
2020-02-03 10:54:18	ga_s2am_ard_3-2-1_52JHS_2020-02-03_final
2020-03-03 11:22:37	ga_s2am_ard_3-2-1_51KYV_2020-03-03_final
2020-03-03 11:23:02	ga_s2am_ard_3-2-1_52KBC_2020-03-03_final
2020-04-25 11:34:51	ga_s2am_ard_3-2-1_51JTM_2020-04-25_final
2020-08-03 11:33:11	ga_s2am_ard_3-2-1_51KVU_2020-08-03_final
2020-08-16 11:45:54	ga_s2am_ard_3-2-1_51JTH_2020-08-16_final
2020-09-29 11:23:26	ga_s2am_ard_3-2-1_52KBB_2020-09-29_final
2020-11-18 11:25:56	ga_s2am_ard_3-2-1_51JXG_2020-11-18_final
2020-11-24 11:43:49	ga_s2am_ard_3-2-1_51KTR_2020-11-24_final
2020-12-02 11:03:59	ga_s2am_ard_3-2-1_52KFU_2020-12-02_final
2020-12-21 11:32:20	ga_s2am_ard_3-2-1_51KYA_2020-12-21_final
2021-01-20 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-01-20_final
2021-02-02 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-02-02_final
2021-03-18 11:23:27	ga_s2am_ard_3-2-1_51KXS_2021-03-18_final
2021-04-01 11:06:15	ga_s2am_ard_3-2-1_52HDK_2021-04-01_final.stac-item
2021-04-09 12:04:41	ga_s2am_ard_3-2-1_49JGN_2021-04-09_final
2021-05-14 11:16:22	ga_s2am_ard_3-2-1_51HYE_2021-05-14_final
2021-05-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-05-16_final
2021-07-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2021-07-15_final
2021-08-01 11:45:57	ga_s2am_ard_3-2-1_50JNN_2021-08-01_final
2021-08-31 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-08-31_final
2022-02-01 11:23:10	ga_s2am_ard_3-2-1_51KYT_2022-02-01_final
2022-02-10 11:52:19	ga_s2am_ard_3-2-1_50KQG_2022-02-10_final.stac-item
2022-04-09 11:14:30	ga_s2am_ard_3-2-1_51JYN_2022-04-09_final
2022-05-11 11:55:42	ga_s2am_ard_3-2-1_50JMP_2022-05-11_final
2022-05-13 10:56:07	ga_s2am_ard_3-2-1_52JEL_2022-05-13_final
2022-06-01 11:22:46	ga_s2am_ard_3-2-1_51KZV_2022-06-01_final
2022-06-01 11:25:46	ga_s2am_ard_3-2-1_51JXH_2022-06-01_final
2022-06-05 11:02:23	ga_s2am_ard_3-2-1_52KGF_2022-06-05_final
2022-07-14 11:33:49	ga_s2am_ard_3-2-1_51KVR_2022-07-14_final
2022-07-15 11:05:51	ga_s2am_ard_3-2-1_52JFM_2022-07-15_final
2022-07-30 11:54:54	ga_s2am_ard_3-2-1_50JLT_2022-07-30_final
2022-09-02 11:31:18	ga_s2am_ard_3-2-1_51LZF_2022-09-02_final.stac-item
2022-09-03 11:04:48	ga_s2am_ard_3-2-1_52JDS_2022-09-03_final.stac-item
2022-09-09 11:26:47	ga_s2am_ard_3-2-1_51HXD_2022-09-09_final.stac-item
2022-11-10 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-11-10_final.stac-item
2022-11-22 11:04:03	ga_s2am_ard_3-2-1_52KEU_2022-11-22_final.stac-item
2022-12-28 11:21:09	ga_s2am_ard_3-2-1_51LZF_2022-12-28_nrt.stac-item
2023-01-01 11:02:14	ga_s2am_ard_3-2-1_52KGF_2023-01-01_final.stac-item
2023-01-06 13:31:37	ga_s2am_ard_3-2-1_47LKG_2023-01-06_interim.stac-item
2023-03-29 10:54:42	ga_s2am_ard_3-2-1_52JGR_2023-03-29_final.stac-item
2023-04-10 11:32:26	ga_s2am_ard_3-2-1_51KXA_2023-04-10_final.stac-item
2023-04-24 11:16:37	ga_s2am_ard_3-2-1_52HBJ_2023-04-24_nrt.stac-item
2023-06-11 12:14:35	ga_s2am_ard_3-2-1_49KFP_2023-06-11_nrt.stac-item
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-06-18_final.stac-item
2023-10-11 11:13:39	ga_s2am_ard_3-2-1_51KZR_2023-10-11_final.stac-item
2024-03-06 11:03:10	ga_s2am_ard_3-2-1_52KHB_2024-03-06_final.stac-item
2024-03-15 11:33:02	ga_s2am_ard_3-2-1_51KYT_2024-03-15_final.stac-item
2024-03-15 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2024-03-15_final.stac-item
2024-04-10 11:56:14	ga_s2am_ard_3-2-1_50JKM_2024-04-10_final.stac-item
2024-04-17 11:41:58	ga_s2am_ard_3-2-1_51LWC_2024-04-17_final.stac-item
2024-04-24 11:32:03	ga_s2am_ard_3-2-1_51LWC_2024-04-24_final.stac-item
2024-04-28 11:16:39	ga_s2am_ard_3-2-1_51HYD_2024-04-28_final.stac-item
2024-05-13 12:05:18	ga_s2am_ard_3-2-1_49JGL_2024-05-13_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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