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
2016-06-29 11:12:16	ga_s2am_ard_3-2-1_51KZQ_2016-06-29_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HXD_2017-03-19_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_52KEB_2017-06-14_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JUG_2017-10-05_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-11-01_final.stac-item
2017-12-04 11:16:54	ga_s2am_ard_3-2-1_52KDG_2017-12-04_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGJ_2017-12-16_final.stac-item
2018-01-17 11:02:22	ga_s2am_ard_3-2-1_52KEB_2018-01-17_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KXS_2018-01-26_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KYU_2018-04-06_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KVS_2018-07-05_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KBV_2018-07-09_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KVP_2018-09-03_final
2018-11-06 11:15:47	ga_s2am_ard_3-2-1_52JBM_2018-11-06_final
2018-11-30 10:53:05	ga_s2am_ard_3-2-1_52KHB_2018-11-30_final
2018-12-15 11:46:34	ga_s2am_ard_3-2-1_50HQJ_2018-12-15_final
2018-12-22 11:31:34	ga_s2am_ard_3-2-1_51LXD_2018-12-22_final
2019-01-24 11:43:01	ga_s2am_ard_3-2-1_50KRD_2019-01-24_final
2019-02-07 11:24:01	ga_s2am_ard_3-2-1_51KZP_2019-02-07_final
2019-05-09 10:55:21	ga_s2am_ard_3-2-1_52JFP_2019-05-09_final
2019-05-11 11:32:44	ga_s2am_ard_3-2-1_51KXV_2019-05-11_final
2019-05-11 11:33:45	ga_s2am_ard_3-2-1_51KWR_2019-05-11_final
2019-05-24 11:44:56	ga_s2am_ard_3-2-1_51JTL_2019-05-24_final
2019-06-24 11:13:18	ga_s2am_ard_3-2-1_52KBC_2019-06-24_final
2019-06-26 11:55:54	ga_s2am_ard_3-2-1_50JNN_2019-06-26_final
2019-07-29 10:26:41	ga_s2am_ard_3-2-1_53HPC_2019-07-29_final
2019-08-29 11:33:10	ga_s2am_ard_3-2-1_51KXT_2019-08-29_final
2019-08-29 11:33:46	ga_s2am_ard_3-2-1_51KVR_2019-08-29_final
2019-11-24 11:23:22	ga_s2am_ard_3-2-1_51KZS_2019-11-24_final
2019-12-27 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-12-27_final
2019-12-30 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-12-30_final
2020-01-10 11:10:32	ga_s2am_ard_3-2-1_52LHM_2020-01-10_final
2020-02-29 11:11:54	ga_s2am_ard_3-2-1_52KFG_2020-02-29_final
2020-02-29 11:13:40	ga_s2am_ard_3-2-1_52KEV_2020-02-29_final
2020-04-02 11:26:32	ga_s2am_ard_3-2-1_51HXD_2020-04-02_final
2020-05-22 11:22:22	ga_s2am_ard_3-2-1_51KYB_2020-05-22_final
2020-05-22 11:23:26	ga_s2am_ard_3-2-1_52KBB_2020-05-22_final
2020-05-31 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-05-31_final
2020-07-09 10:46:02	ga_s2am_ard_3-2-1_53JKF_2020-07-09_final
2020-07-11 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-07-11_final
2020-07-14 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-07-14_final
2020-08-04 11:03:55	ga_s2am_ard_3-2-1_52KEV_2020-08-04_final
2020-08-09 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-08-09_final
2020-08-30 11:23:25	ga_s2am_ard_3-2-1_52KBB_2020-08-30_final
2020-09-26 11:13:19	ga_s2am_ard_3-2-1_52KBC_2020-09-26_final
2020-10-12 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-10-12_final
2021-01-04 11:13:15	ga_s2am_ard_3-2-1_52KEB_2021-01-04_final
2021-01-17 11:23:44	ga_s2am_ard_3-2-1_51KXR_2021-01-17_final
2021-02-12 11:43:35	ga_s2am_ard_3-2-1_50KQB_2021-02-12_final
2021-02-16 11:23:20	ga_s2am_ard_3-2-1_52KBB_2021-02-16_final
2021-04-21 11:03:12	ga_s2am_ard_3-2-1_52KFB_2021-04-21_final
2021-07-06 11:24:07	ga_s2am_ard_3-2-1_52KBU_2021-07-06_final
2021-08-28 11:33:32	ga_s2am_ard_3-2-1_51KVS_2021-08-28_final
2021-10-04 11:23:25	ga_s2am_ard_3-2-1_52KBB_2021-10-04_final
2021-10-17 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-17_final
2021-10-21 11:10:48	ga_s2am_ard_3-2-1_52LGM_2021-10-21_final
2021-11-17 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-11-17_final
2021-11-26 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-11-26_final
2021-12-27 11:00:32	ga_s2am_ard_3-2-1_52LHN_2021-12-27_final
2022-02-21 11:23:45	ga_s2am_ard_3-2-1_51KXR_2022-02-21_final
2022-03-17 11:00:52	ga_s2am_ard_3-2-1_52LGM_2022-03-17_final
2022-03-17 11:03:02	ga_s2am_ard_3-2-1_52KGC_2022-03-17_final
2022-04-27 12:15:25	ga_s2am_ard_3-2-1_49JGK_2022-04-27_final
2022-05-24 12:03:27	ga_s2am_ard_3-2-1_50KNC_2022-05-24_final
2022-06-06 10:36:18	ga_s2am_ard_3-2-1_53HME_2022-06-06_final
2022-06-14 11:34:07	ga_s2am_ard_3-2-1_51KWQ_2022-06-14_final
2022-07-01 11:23:26	ga_s2am_ard_3-2-1_51KXT_2022-07-01_final
2022-08-02 10:26:51	ga_s2am_ard_3-2-1_53HNC_2022-08-02_final
2022-09-12 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-09-12_final.stac-item
2022-11-15 11:13:47	ga_s2am_ard_3-2-1_52KEV_2022-11-15_final.stac-item
2022-11-22 11:04:21	ga_s2am_ard_3-2-1_52JDT_2022-11-22_final.stac-item
2022-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-20_final.stac-item
2022-12-24 11:43:16	ga_s2am_ard_3-2-1_51KTT_2022-12-24_final.stac-item
2023-01-16 11:54:30	ga_s2am_ard_3-2-1_50JPT_2023-01-16_final.stac-item
2023-02-26 11:21:51	ga_s2am_ard_3-2-1_52LBH_2023-02-26_final.stac-item
2023-03-17 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2023-03-17_final.stac-item
2023-03-24 11:42:20	ga_s2am_ard_3-2-1_51KWA_2023-03-24_final.stac-item
2023-04-01 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-04-01_final.stac-item
2023-04-19 10:26:53	ga_s2am_ard_3-2-1_53HNB_2023-04-19_final.stac-item
2023-05-04 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-05-04_final.stac-item
2023-05-14 12:51:00	ga_s2am_ard_3-2-1_48LWP_2023-05-14_final.stac-item
2023-06-09 11:31:08	ga_s2am_ard_3-2-1_52LBL_2023-06-09_final.stac-item
2023-06-09 11:33:27	ga_s2am_ard_3-2-1_51KXS_2023-06-09_final.stac-item
2023-06-23 11:13:48	ga_s2am_ard_3-2-1_52KEV_2023-06-23_final.stac-item
2023-06-27 10:54:30	ga_s2am_ard_3-2-1_52JHS_2023-06-27_final.stac-item
2023-07-26 11:23:44	ga_s2am_ard_3-2-1_51KYR_2023-07-26_final.stac-item
2023-07-26 11:24:09	ga_s2am_ard_3-2-1_52KBU_2023-07-26_final.stac-item
2023-09-07 11:33:43	ga_s2am_ard_3-2-1_51KXR_2023-09-07_final.stac-item
2023-11-06 11:33:12	ga_s2am_ard_3-2-1_51KWT_2023-11-06_final.stac-item
2024-01-02 11:26:41	ga_s2am_ard_3-2-1_51HVD_2024-01-02_final.stac-item
2024-01-18 11:41:24	ga_s2am_ard_3-2-1_51LUE_2024-01-18_final.stac-item
2024-01-29 11:16:15	ga_s2am_ard_3-2-1_52HBK_2024-01-29_final.stac-item
2024-02-07 11:43:07	ga_s2am_ard_3-2-1_51KVT_2024-02-07_final.stac-item
2024-02-11 11:23:25	ga_s2am_ard_3-2-1_51KXS_2024-02-11_final.stac-item
2024-02-14 11:33:42	ga_s2am_ard_3-2-1_51KVR_2024-02-14_final.stac-item
2024-02-16 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2024-02-16_final.stac-item
2024-03-22 11:22:00	ga_s2am_ard_3-2-1_51LYC_2024-03-22_final.stac-item
2024-03-28 11:41:56	ga_s2am_ard_3-2-1_51LWC_2024-03-28_final.stac-item
2024-04-14 11:33:00	ga_s2am_ard_3-2-1_51KWU_2024-04-14_final.stac-item
2024-05-20 11:57:13	ga_s2am_ard_3-2-1_50HKH_2024-05-20_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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