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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JKN_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPJ_2016-03-07_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLL_2016-08-20_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HMJ_2016-09-06_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-10-05_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KPC_2016-10-29_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JML_2016-10-29_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNL_2016-10-29_final.stac-item
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTE_2017-02-10_final
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_49KHR_2017-03-14_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JLN_2017-04-27_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNG_2017-06-13_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HPK_2017-07-03_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-07-10_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGN_2017-09-07_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50KQG_2017-10-04_final.stac-item
2017-12-06 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-06_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JPL_2018-02-25_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQK_2018-06-28_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51JWJ_2018-07-05_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMR_2018-08-30_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRD_2018-10-26_final
2018-11-11 12:03:22	ga_s2am_ard_3-2-1_50KLC_2018-11-11_final
2018-11-22 11:36:41	ga_s2am_ard_3-2-1_50HQJ_2018-11-22_final
2019-02-06 11:53:18	ga_s2am_ard_3-2-1_50KPC_2019-02-06_final
2019-03-31 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2019-03-31_final
2019-04-15 11:16:46	ga_s2am_ard_3-2-1_51HWD_2019-04-15_final
2019-04-21 11:37:06	ga_s2am_ard_3-2-1_50HQH_2019-04-21_final
2019-05-18 11:26:51	ga_s2am_ard_3-2-1_51HUD_2019-05-18_final
2019-06-16 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-06-16_final
2019-07-09 12:04:30	ga_s2am_ard_3-2-1_50KLU_2019-07-09_final
2019-07-10 11:34:51	ga_s2am_ard_3-2-1_51JUM_2019-07-10_final
2019-10-31 11:46:18	ga_s2am_ard_3-2-1_50JQL_2019-10-31_final
2019-12-23 11:55:58	ga_s2am_ard_3-2-1_50JNM_2019-12-23_final
2020-01-16 11:36:24	ga_s2am_ard_3-2-1_50HPK_2020-01-16_final
2020-02-11 11:57:13	ga_s2am_ard_3-2-1_50HMG_2020-02-11_final.stac-item
2020-02-21 11:53:15	ga_s2am_ard_3-2-1_50KPC_2020-02-21_final
2020-03-10 11:16:37	ga_s2am_ard_3-2-1_51HXD_2020-03-10_final
2020-03-12 11:54:04	ga_s2am_ard_3-2-1_50KNV_2020-03-12_final
2020-04-14 12:03:40	ga_s2am_ard_3-2-1_50KLB_2020-04-14_final
2020-05-12 11:24:34	ga_s2am_ard_3-2-1_51JWN_2020-05-12_final
2020-07-13 12:04:47	ga_s2am_ard_3-2-1_49JHN_2020-07-13_final
2020-08-13 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-08-13_final
2020-08-16 11:46:14	ga_s2am_ard_3-2-1_50JNM_2020-08-16_final
2020-09-08 11:53:21	ga_s2am_ard_3-2-1_50KQC_2020-09-08_final
2020-09-18 11:53:15	ga_s2am_ard_3-2-1_50KRC_2020-09-18_final
2020-09-19 11:26:37	ga_s2am_ard_3-2-1_51HUE_2020-09-19_final
2020-12-01 11:34:43	ga_s2am_ard_3-2-1_51JVM_2020-12-01_final
2020-12-27 11:52:19	ga_s2am_ard_3-2-1_50KQG_2020-12-27_final.stac-item
2021-01-19 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-19_final
2021-01-19 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-01-19_final
2021-02-11 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-02-11_final
2021-02-18 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-18_final
2021-06-15 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-06-15_final
2021-07-19 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-19_final
2021-07-22 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2021-07-22_final
2021-07-29 11:35:11	ga_s2am_ard_3-2-1_51JWK_2021-07-29_final
2021-08-01 11:47:24	ga_s2am_ard_3-2-1_50HNG_2021-08-01_final.stac-item
2021-08-04 11:53:42	ga_s2am_ard_3-2-1_50KNB_2021-08-04_final
2021-08-20 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-08-20_final
2021-09-07 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-09-07_final
2021-09-10 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-09-10_final
2021-09-24 11:25:45	ga_s2am_ard_3-2-1_51JWH_2021-09-24_final
2021-12-09 11:46:36	ga_s2am_ard_3-2-1_50HPK_2021-12-09_final
2022-01-05 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-01-05_final
2022-02-26 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-02-26_final
2022-03-09 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-03-10 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-03-10_final
2022-03-12 11:54:05	ga_s2am_ard_3-2-1_50KQV_2022-03-12_final
2022-04-05 11:36:21	ga_s2am_ard_3-2-1_50JQL_2022-04-05_final
2022-04-14 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final.stac-item
2022-06-07 11:43:26	ga_s2am_ard_3-2-1_50KRC_2022-06-07_final
2022-06-08 11:16:49	ga_s2am_ard_3-2-1_51HXD_2022-06-08_final
2022-06-10 11:55:33	ga_s2am_ard_3-2-1_50JMQ_2022-06-10_final
2022-06-16 12:13:50	ga_s2am_ard_3-2-1_50KKB_2022-06-16_final
2022-07-23 12:05:23	ga_s2am_ard_3-2-1_50JKR_2022-07-23_final
2022-07-30 11:56:09	ga_s2am_ard_3-2-1_50JKN_2022-07-30_final
2022-08-22 12:04:40	ga_s2am_ard_3-2-1_49KHP_2022-08-22_final
2022-09-01 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-09-01_final.stac-item
2022-09-15 11:47:36	ga_s2am_ard_3-2-1_50HLG_2022-09-15_final.stac-item
2022-12-14 11:43:18	ga_s2am_ard_3-2-1_50KRC_2022-12-14_final.stac-item
2022-12-17 11:54:54	ga_s2am_ard_3-2-1_50JMS_2022-12-17_final.stac-item
2022-12-24 11:44:28	ga_s2am_ard_3-2-1_50JRT_2022-12-24_final.stac-item
2023-01-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-01-19_final.stac-item
2023-01-23 11:44:27	ga_s2am_ard_3-2-1_50JRT_2023-01-23_final.stac-item
2023-02-12 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-12_final.stac-item
2023-02-21 12:13:51	ga_s2am_ard_3-2-1_50KKA_2023-02-21_final.stac-item
2023-02-26 11:26:30	ga_s2am_ard_3-2-1_51HUE_2023-02-26_final.stac-item
2023-03-10 12:04:27	ga_s2am_ard_3-2-1_50KLU_2023-03-10_final.stac-item
2023-05-22 12:14:34	ga_s2am_ard_3-2-1_49KFP_2023-05-22_nrt.stac-item
2023-06-29 11:36:00	ga_s2am_ard_3-2-1_51JVG_2023-06-29_final.stac-item
2023-07-28 12:05:43	ga_s2am_ard_3-2-1_50JLP_2023-07-28_final.stac-item
2023-08-08 11:36:31	ga_s2am_ard_3-2-1_50JPL_2023-08-08_final.stac-item
2023-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2023-08-17_final.stac-item
2023-12-03 11:25:31	ga_s2am_ard_3-2-1_51JXH_2023-12-03_final.stac-item
2023-12-29 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-12-29_final.stac-item
2024-03-07 12:13:55	ga_s2am_ard_3-2-1_50KKA_2024-03-07_final.stac-item
2024-03-24 12:04:44	ga_s2am_ard_3-2-1_50JKT_2024-03-24_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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