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
2016-03-20 11:34:13	ga_s2am_ard_3-2-1_51LUE_2016-03-20_final.stac-item
2016-06-16 11:02:13	ga_s2am_ard_3-2-1_52KGV_2016-06-16_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KZR_2016-07-22_final.stac-item
2016-08-31 11:16:59	ga_s2am_ard_3-2-1_51LZC_2016-08-31_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KVV_2016-11-05_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-01-03_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51LZD_2017-01-18_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KVB_2017-02-20_final
2017-02-27 11:16:53	ga_s2am_ard_3-2-1_52LDJ_2017-02-27_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_52KBV_2017-07-04_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KWP_2017-07-10_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KZA_2017-08-26_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51JUN_2017-12-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KUT_2017-12-10_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYU_2018-02-02_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HQJ_2018-04-19_final
2018-04-27 10:57:18	ga_s2am_ard_3-2-1_52KDV_2018-04-27_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51HUD_2018-05-16_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51LUE_2018-05-19_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JKP_2018-06-11_final
2018-06-21 11:48:18	ga_s2am_ard_3-2-1_50KPB_2018-06-21_final
2018-08-24 11:26:19	ga_s2am_ard_3-2-1_51KYT_2018-08-24_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50KLU_2018-09-12_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final
2018-11-12 11:33:18	ga_s2am_ard_3-2-1_51KXS_2018-11-12_final
2019-01-31 11:33:20	ga_s2am_ard_3-2-1_51KXS_2019-01-31_final
2019-03-02 11:32:09	ga_s2am_ard_3-2-1_51KWB_2019-03-02_final
2019-03-22 11:32:45	ga_s2am_ard_3-2-1_51KVV_2019-03-22_final
2019-04-05 11:16:41	ga_s2am_ard_3-2-1_51HXD_2019-04-05_final
2019-04-21 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-04-21_final
2019-06-14 11:13:25	ga_s2am_ard_3-2-1_52KDB_2019-06-14_final
2019-06-23 11:43:26	ga_s2am_ard_3-2-1_50KQC_2019-06-23_final
2019-07-03 11:42:14	ga_s2am_ard_3-2-1_51KWB_2019-07-03_final
2019-07-14 11:12:37	ga_s2am_ard_3-2-1_52KEE_2019-07-14_final
2019-08-16 11:25:13	ga_s2am_ard_3-2-1_51JXK_2019-08-16_final
2019-09-11 11:47:22	ga_s2am_ard_3-2-1_50HMG_2019-09-11_final.stac-item
2019-09-28 11:33:32	ga_s2am_ard_3-2-1_51KVS_2019-09-28_final
2019-11-11 11:12:56	ga_s2am_ard_3-2-1_52KFC_2019-11-11_final
2019-12-17 11:33:07	ga_s2am_ard_3-2-1_51KWT_2019-12-17_final
2020-01-03 11:23:48	ga_s2am_ard_3-2-1_51KYQ_2020-01-03_final
2020-01-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-01-06_final
2020-02-22 11:26:09	ga_s2am_ard_3-2-1_51JVF_2020-02-22_final
2020-03-13 11:26:03	ga_s2am_ard_3-2-1_51JXF_2020-03-13_final
2020-06-13 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-13_final
2020-06-28 11:13:20	ga_s2am_ard_3-2-1_52KEB_2020-06-28_final
2020-08-06 11:43:17	ga_s2am_ard_3-2-1_51KVT_2020-08-06_final
2020-08-11 10:54:53	ga_s2am_ard_3-2-1_52JFR_2020-08-11_final
2020-08-20 11:22:54	ga_s2am_ard_3-2-1_52KCD_2020-08-20_final
2020-08-23 11:33:53	ga_s2am_ard_3-2-1_51KUR_2020-08-23_final
2020-10-25 11:43:31	ga_s2am_ard_3-2-1_51KVS_2020-10-25_final
2020-11-08 11:23:44	ga_s2am_ard_3-2-1_51KYR_2020-11-08_final
2020-11-15 11:13:37	ga_s2am_ard_3-2-1_52KDA_2020-11-15_final
2020-12-24 11:43:14	ga_s2am_ard_3-2-1_51KUT_2020-12-24_final
2021-01-22 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-01-22_final
2021-02-14 10:45:46	ga_s2am_ard_3-2-1_52JGM_2021-02-14_final
2021-05-11 11:02:58	ga_s2am_ard_3-2-1_52KGC_2021-05-11_final
2021-07-06 11:26:43	ga_s2am_ard_3-2-1_51HWD_2021-07-06_final
2021-07-23 11:16:23	ga_s2am_ard_3-2-1_52HBK_2021-07-23_final
2021-09-04 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2021-09-04_final
2021-09-28 11:06:10	ga_s2am_ard_3-2-1_52JCL_2021-09-28_final
2021-10-26 12:05:46	ga_s2am_ard_3-2-1_50JKP_2021-10-26_final
2021-12-04 10:54:33	ga_s2am_ard_3-2-1_52JFS_2021-12-04_final
2021-12-19 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-12-19_final
2022-03-26 11:32:53	ga_s2am_ard_3-2-1_51KYU_2022-03-26_final
2022-03-29 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-03-29_final
2022-04-04 12:04:12	ga_s2am_ard_3-2-1_50KLV_2022-04-04_final
2022-04-18 11:42:17	ga_s2am_ard_3-2-1_51KVB_2022-04-18_final
2022-07-05 11:04:56	ga_s2am_ard_3-2-1_52JFR_2022-07-05_final
2022-08-07 11:11:16	ga_s2am_ard_3-2-1_52LEL_2022-08-07_final.stac-item
2022-08-07 11:11:45	ga_s2am_ard_3-2-1_52LEJ_2022-08-07_final
2022-08-29 13:31:51	ga_s2am_ard_3-2-1_47LKG_2022-08-29_interim.stac-item
2022-09-22 11:32:36	ga_s2am_ard_3-2-1_51KWA_2022-09-22_final.stac-item
2022-09-29 11:21:31	ga_s2am_ard_3-2-1_52LBK_2022-09-29_final.stac-item
2022-10-11 12:04:04	ga_s2am_ard_3-2-1_50KKA_2022-10-11_final.stac-item
2022-11-28 11:26:40	ga_s2am_ard_3-2-1_51HWD_2022-11-28_final.stac-item
2022-12-25 11:10:30	ga_s2am_ard_3-2-1_52LFN_2022-12-25_final.stac-item
2023-01-16 11:53:50	ga_s2am_ard_3-2-1_50KNA_2023-01-16_final.stac-item
2023-01-20 11:33:43	ga_s2am_ard_3-2-1_51KUR_2023-01-20_final.stac-item
2023-01-23 11:43:25	ga_s2am_ard_3-2-1_51KUS_2023-01-23_final.stac-item
2023-01-30 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-30_final.stac-item
2023-03-05 11:14:52	ga_s2am_ard_3-2-1_51JYL_2023-03-05_final.stac-item
2023-03-11 11:33:08	ga_s2am_ard_3-2-1_51KWT_2023-03-11_final.stac-item
2023-03-31 11:32:24	ga_s2am_ard_3-2-1_51KXA_2023-03-31_final.stac-item
2023-03-31 11:34:01	ga_s2am_ard_3-2-1_51KUQ_2023-03-31_final.stac-item
2023-04-14 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-04-14_final.stac-item
2023-05-13 11:40:57	ga_s2am_ard_3-2-1_51LWG_2023-05-13_final.stac-item
2023-05-20 11:33:47	ga_s2am_ard_3-2-1_51KVR_2023-05-20_final.stac-item
2023-05-30 11:33:26	ga_s2am_ard_3-2-1_51KUT_2023-05-30_final.stac-item
2023-08-24 11:56:17	ga_s2am_ard_3-2-1_50JLM_2023-08-24_final.stac-item
2023-09-04 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-09-04_final.stac-item
2023-10-07 11:31:43	ga_s2am_ard_3-2-1_51LXD_2023-10-07_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-09_final.stac-item
2023-10-11 11:11:50	ga_s2am_ard_3-2-1_52LDH_2023-10-11_final.stac-item
2023-11-17 11:03:58	ga_s2am_ard_3-2-1_52KFU_2023-11-17_final.stac-item
2023-11-22 11:56:10	ga_s2am_ard_3-2-1_50JKM_2023-11-22_final.stac-item
2023-12-09 11:42:08	ga_s2am_ard_3-2-1_51KVB_2023-12-09_final.stac-item
2023-12-16 11:34:45	ga_s2am_ard_3-2-1_50JRS_2023-12-16_final.stac-item
2024-02-18 11:10:41	ga_s2am_ard_3-2-1_52LGM_2024-02-18_final.stac-item
2024-04-04 11:35:38	ga_s2am_ard_3-2-1_51JVH_2024-04-04_final.stac-item
2024-04-08 11:10:42	ga_s2am_ard_3-2-1_52LGM_2024-04-08_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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