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
2015-08-28 10:51:18	ga_s2am_ard_3-2-1_52KHC_2015-08-28_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_50KLA_2015-12-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KGP_2016-01-16_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JPL_2016-04-06_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51LWC_2016-08-17_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KBC_2016-09-27_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-10-16_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLS_2016-10-29_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JYM_2016-10-30_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVR_2016-11-12_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXP_2016-12-09_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_52LBJ_2016-12-12_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52JBM_2017-02-01_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JLM_2017-05-27_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQJ_2017-07-03_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KWT_2017-09-08_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWT_2017-09-28_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KLA_2017-12-26_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52KEB_2017-12-31_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_52KDB_2018-03-01_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KWT_2018-04-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTH_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUT_2018-05-26_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52KGC_2018-05-27_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JXG_2018-06-12_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNJ_2018-06-18_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JBL_2018-06-19_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_51HWC_2018-08-08_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGM_2018-08-23_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51KUQ_2018-09-13_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KRD_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KQC_2018-10-09_final
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52HCK_2018-10-24_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVS_2018-11-02_final
2018-11-19 11:22:54	ga_s2am_ard_3-2-1_51KXU_2018-11-19_final
2018-12-12 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-12_final.stac-item
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_50KRD_2018-12-25_final
2019-01-04 11:42:40	ga_s2am_ard_3-2-1_51KUV_2019-01-04_final
2019-04-30 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-04-30_final.stac-item
2019-05-07 11:56:18	ga_s2am_ard_3-2-1_50JKM_2019-05-07_final
2019-06-08 10:52:22	ga_s2am_ard_3-2-1_52KHF_2019-06-08_final
2019-08-09 11:33:07	ga_s2am_ard_3-2-1_51KXU_2019-08-09_final
2019-08-09 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-08-09_final
2019-09-05 11:23:06	ga_s2am_ard_3-2-1_52KBC_2019-09-05_final
2019-09-09 11:02:57	ga_s2am_ard_3-2-1_52KGC_2019-09-09_final
2019-10-01 11:41:20	ga_s2am_ard_3-2-1_51LUF_2019-10-01_final
2019-10-30 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-10-30_final.stac-item
2019-11-17 11:31:26	ga_s2am_ard_3-2-1_51LYE_2019-11-17_final
2019-11-28 11:02:00	ga_s2am_ard_3-2-1_52KGG_2019-11-28_final
2019-12-01 11:12:27	ga_s2am_ard_3-2-1_52KFE_2019-12-01_final
2020-01-29 11:47:10	ga_s2am_ard_3-2-1_50HPG_2020-01-29_final.stac-item
2020-03-21 10:46:11	ga_s2am_ard_3-2-1_52HGK_2020-03-21_final.stac-item
2020-03-26 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-03-26_final
2020-04-02 11:25:12	ga_s2am_ard_3-2-1_51JVK_2020-04-02_final
2020-05-15 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-05-15_final
2020-11-25 11:13:53	ga_s2am_ard_3-2-1_52KCV_2020-11-25_final
2020-12-17 11:55:57	ga_s2am_ard_3-2-1_50JKN_2020-12-17_final
2020-12-28 11:22:07	ga_s2am_ard_3-2-1_52KBG_2020-12-28_final
2020-12-28 11:22:22	ga_s2am_ard_3-2-1_52KBF_2020-12-28_final
2021-03-12 11:06:03	ga_s2am_ard_3-2-1_52JDL_2021-03-12_final
2021-04-07 11:26:34	ga_s2am_ard_3-2-1_51HWD_2021-04-07_final
2021-04-13 11:47:01	ga_s2am_ard_3-2-1_50HNH_2021-04-13_final
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-05-12_final
2021-05-27 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-05-27_final
2021-05-30 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-05-30_final
2021-06-09 11:35:34	ga_s2am_ard_3-2-1_51JTJ_2021-06-09_final
2021-06-10 11:06:22	ga_s2am_ard_3-2-1_52HCK_2021-06-10_final.stac-item
2021-06-19 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-06-19_final
2021-07-10 11:06:24	ga_s2am_ard_3-2-1_52HCK_2021-07-10_final.stac-item
2021-08-14 11:53:05	ga_s2am_ard_3-2-1_50KQD_2021-08-14_final.stac-item
2021-08-22 11:16:10	ga_s2am_ard_3-2-1_51JYF_2021-08-22_final
2021-12-30 11:13:06	ga_s2am_ard_3-2-1_52KDC_2021-12-30_final
2022-01-14 12:05:30	ga_s2am_ard_3-2-1_49JGK_2022-01-14_final
2022-01-25 11:36:43	ga_s2am_ard_3-2-1_51HUD_2022-01-25_final
2022-02-26 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-02-26_final.stac-item
2022-04-15 11:32:54	ga_s2am_ard_3-2-1_51KYU_2022-04-15_final
2022-04-26 11:03:03	ga_s2am_ard_3-2-1_52KGC_2022-04-26_final
2022-05-02 11:23:08	ga_s2am_ard_3-2-1_52KCC_2022-05-02_final
2022-05-11 11:53:02	ga_s2am_ard_3-2-1_50KRD_2022-05-11_final
2022-05-19 11:15:28	ga_s2am_ard_3-2-1_52JBP_2022-05-19_final
2022-06-01 11:25:53	ga_s2am_ard_3-2-1_51JVH_2022-06-01_final
2022-07-13 12:06:08	ga_s2am_ard_3-2-1_50JKN_2022-07-13_final
2022-08-10 11:23:33	ga_s2am_ard_3-2-1_51KZS_2022-08-10_final
2022-10-06 11:17:05	ga_s2am_ard_3-2-1_51HWC_2022-10-06_final.stac-item
2022-12-17 11:53:02	ga_s2am_ard_3-2-1_50KQD_2022-12-17_final.stac-item
2023-03-01 11:32:44	ga_s2am_ard_3-2-1_51KVV_2023-03-01_final.stac-item
2023-04-07 11:25:42	ga_s2am_ard_3-2-1_51JWH_2023-04-07_final.stac-item
2023-04-10 11:33:45	ga_s2am_ard_3-2-1_51KVR_2023-04-10_final.stac-item
2023-04-26 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-04-26_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-05-09_final.stac-item
2023-05-16 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-05-16_final.stac-item
2023-07-16 11:23:11	ga_s2am_ard_3-2-1_52KBC_2023-07-16_final.stac-item
2023-08-28 11:37:06	ga_s2am_ard_3-2-1_51HTC_2023-08-28_final.stac-item
2023-11-02 11:52:58	ga_s2am_ard_3-2-1_50KRD_2023-11-02_final.stac-item
2023-11-29 11:42:09	ga_s2am_ard_3-2-1_51KUB_2023-11-29_final.stac-item
2024-02-08 11:13:09	ga_s2am_ard_3-2-1_52KBC_2024-02-08_final.stac-item
2024-02-26 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2024-02-26_final.stac-item
2024-03-09 11:12:36	ga_s2am_ard_3-2-1_52KDE_2024-03-09_final.stac-item
2024-03-28 11:41:33	ga_s2am_ard_3-2-1_51LUE_2024-03-28_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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