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
2015-12-04 11:57:46	ga_s2am_ard_3-2-1_50JQP_2015-12-04_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPQ_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPT_2016-01-03_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPQ_2016-02-02_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KGP_2016-02-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_50KKV_2016-02-08_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQK_2016-03-20_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HNK_2016-04-22_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLT_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JNR_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQP_2016-05-29_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HMH_2016-07-21_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JPS_2016-08-10_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50KMA_2016-11-11_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HPG_2016-12-22_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JFM_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKU_2016-12-31_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50KNA_2017-02-26_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HNG_2017-08-12_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQR_2017-08-12_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HLG_2017-08-25_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPG_2017-09-28_final.stac-item
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-10-30_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JFN_2017-12-09_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JHN_2017-12-19_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HNG_2018-03-17_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPJ_2018-05-29_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMG_2018-06-08_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HNG_2018-06-15_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KMA_2018-08-10_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKU_2018-08-23_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-08-26_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-12_final.stac-item
2018-11-12 11:37:21	ga_s2am_ard_3-2-1_50HNG_2018-11-12_final.stac-item
2018-11-21 12:05:34	ga_s2am_ard_3-2-1_50JKP_2018-11-21_final
2018-12-21 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-21_final
2019-01-01 11:37:20	ga_s2am_ard_3-2-1_50HNG_2019-01-01_final.stac-item
2019-01-03 12:14:36	ga_s2am_ard_3-2-1_49JGN_2019-01-03_final
2019-01-07 11:53:34	ga_s2am_ard_3-2-1_50KNB_2019-01-07_final
2019-01-21 11:34:33	ga_s2am_ard_3-2-1_50JRT_2019-01-21_final
2019-02-10 11:37:18	ga_s2am_ard_3-2-1_50HPG_2019-02-10_final.stac-item
2019-06-03 11:47:23	ga_s2am_ard_3-2-1_50HNG_2019-06-03_final.stac-item
2019-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-22_final.stac-item
2019-08-09 11:34:53	ga_s2am_ard_3-2-1_50JRS_2019-08-09_final
2019-08-22 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-08-22_final.stac-item
2019-11-23 11:53:39	ga_s2am_ard_3-2-1_50KNB_2019-11-23_final
2019-12-10 11:47:13	ga_s2am_ard_3-2-1_50HPG_2019-12-10_final.stac-item
2019-12-13 11:55:55	ga_s2am_ard_3-2-1_50JKN_2019-12-13_final
2019-12-23 11:53:48	ga_s2am_ard_3-2-1_50KNA_2019-12-23_final
2020-02-05 11:37:09	ga_s2am_ard_3-2-1_50HQG_2020-02-05_final.stac-item
2020-02-24 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-02-24_final.stac-item
2020-03-02 11:53:49	ga_s2am_ard_3-2-1_50KNA_2020-03-02_final
2020-03-05 12:03:40	ga_s2am_ard_3-2-1_50KNA_2020-03-05_final
2020-03-12 11:54:07	ga_s2am_ard_3-2-1_50KMV_2020-03-12_final
2020-08-25 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-08-25_final
2020-11-07 11:54:16	ga_s2am_ard_3-2-1_50KMV_2020-11-07_final
2020-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2020-11-10_final
2020-11-11 11:34:53	ga_s2am_ard_3-2-1_50JRS_2020-11-11_final
2020-11-24 11:44:39	ga_s2am_ard_3-2-1_50JPT_2020-11-24_final
2020-11-24 11:45:26	ga_s2am_ard_3-2-1_50JNQ_2020-11-24_final
2021-01-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-01-03_final.stac-item
2021-02-15 11:53:41	ga_s2am_ard_3-2-1_50KMB_2021-02-15_final
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_50KKA_2021-04-09_final
2021-04-13 11:46:35	ga_s2am_ard_3-2-1_50HMK_2021-04-13_final
2021-07-08 12:03:47	ga_s2am_ard_3-2-1_49KHS_2021-07-08_final.stac-item
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final
2021-08-11 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-11_final
2021-08-11 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-11_final
2021-08-21 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-21_final
2021-08-27 12:03:28	ga_s2am_ard_3-2-1_50KLC_2021-08-27_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-08-28 11:34:38	ga_s2am_ard_3-2-1_50JRT_2021-08-28_final
2021-08-28 11:36:40	ga_s2am_ard_3-2-1_50HPK_2021-08-28_final
2021-10-07 11:34:42	ga_s2am_ard_3-2-1_50JRT_2021-10-07_final
2021-11-12 11:54:13	ga_s2am_ard_3-2-1_50KMV_2021-11-12_final
2022-01-15 11:37:22	ga_s2am_ard_3-2-1_50HPG_2022-01-15_final.stac-item
2022-02-27 11:44:34	ga_s2am_ard_3-2-1_50JRT_2022-02-27_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-03-12 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-03-12_final.stac-item
2022-06-03 12:04:54	ga_s2am_ard_3-2-1_49JGN_2022-06-03_final
2022-11-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2022-11-04_final.stac-item
2023-02-08 12:03:43	ga_s2am_ard_3-2-1_50KNA_2023-02-08_final.stac-item
2023-02-12 11:47:15	ga_s2am_ard_3-2-1_50HPG_2023-02-12_final.stac-item
2023-02-28 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-02-28_final.stac-item
2023-07-02 11:44:50	ga_s2am_ard_3-2-1_50JPT_2023-07-02_final.stac-item
2023-08-14 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-14_final.stac-item
2023-10-07 11:37:22	ga_s2am_ard_3-2-1_50HPG_2023-10-07_final.stac-item
2023-12-09 11:44:25	ga_s2am_ard_3-2-1_50JRT_2023-12-09_final.stac-item
2023-12-29 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-12-29_final.stac-item
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final.stac-item
2024-02-06 12:13:50	ga_s2am_ard_3-2-1_50KKA_2024-02-06_final.stac-item
2024-02-07 11:44:26	ga_s2am_ard_3-2-1_50JRT_2024-02-07_final.stac-item
2024-02-17 11:44:29	ga_s2am_ard_3-2-1_50JRT_2024-02-17_final.stac-item
2024-03-18 11:44:31	ga_s2am_ard_3-2-1_50JRT_2024-03-18_final.stac-item
2024-03-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_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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