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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGN_2015-12-30_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLP_2016-02-15_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGQ_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_50KKU_2016-03-09_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNG_2016-04-19_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JPS_2016-07-01_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLN_2016-07-21_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JFM_2017-01-03_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNG_2017-07-03_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JMM_2017-09-21_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KQV_2017-12-30_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KLB_2018-01-05_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50JQN_2018-01-06_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KPF_2018-02-11_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JML_2018-03-13_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLG_2018-05-19_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HNG_2018-05-26_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLH_2018-07-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HMH_2018-07-08_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-07-15_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-27_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JPS_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KNA_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KPA_2018-08-10_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
2018-10-19 11:47:03	ga_s2am_ard_3-2-1_50KQF_2018-10-19_final.stac-item
2018-11-08 11:53:42	ga_s2am_ard_3-2-1_50KQA_2018-11-08_final
2018-11-15 11:44:10	ga_s2am_ard_3-2-1_50KRU_2018-11-15_final
2018-11-25 11:44:08	ga_s2am_ard_3-2-1_50KRU_2018-11-25_final
2018-12-15 11:43:10	ga_s2am_ard_3-2-1_50KRC_2018-12-15_final
2018-12-18 11:53:30	ga_s2am_ard_3-2-1_50KNB_2018-12-18_final
2018-12-28 11:53:04	ga_s2am_ard_3-2-1_50KRC_2018-12-28_final
2018-12-28 11:53:50	ga_s2am_ard_3-2-1_50KMA_2018-12-28_final
2019-01-04 11:44:14	ga_s2am_ard_3-2-1_50KQU_2019-01-04_final
2019-01-04 11:44:32	ga_s2am_ard_3-2-1_50JPT_2019-01-04_final
2019-01-04 11:44:47	ga_s2am_ard_3-2-1_50JPS_2019-01-04_final
2019-01-07 11:53:51	ga_s2am_ard_3-2-1_50KMA_2019-01-07_final
2019-03-05 11:44:05	ga_s2am_ard_3-2-1_50KPV_2019-03-05_final
2019-03-05 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-03-05_final
2019-03-25 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-03-25_final.stac-item
2019-07-03 11:47:22	ga_s2am_ard_3-2-1_50HPG_2019-07-03_final.stac-item
2019-07-06 11:52:42	ga_s2am_ard_3-2-1_50KPF_2019-07-06_final.stac-item
2019-11-10 11:43:24	ga_s2am_ard_3-2-1_50KQC_2019-11-10_final
2019-11-10 11:43:39	ga_s2am_ard_3-2-1_50KQB_2019-11-10_final
2019-11-20 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-11-20_final
2019-11-23 11:53:43	ga_s2am_ard_3-2-1_50KMB_2019-11-23_final
2019-11-29 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2019-11-29_final
2019-12-20 11:43:27	ga_s2am_ard_3-2-1_50KRB_2019-12-20_final
2019-12-23 11:55:41	ga_s2am_ard_3-2-1_50JKP_2019-12-23_final
2019-12-30 11:44:05	ga_s2am_ard_3-2-1_50KPV_2019-12-30_final
2020-01-02 11:53:25	ga_s2am_ard_3-2-1_50KMC_2020-01-02_final
2020-02-21 11:52:53	ga_s2am_ard_3-2-1_50KRD_2020-02-21_final
2020-02-21 11:53:55	ga_s2am_ard_3-2-1_50KQV_2020-02-21_final
2020-06-30 11:53:04	ga_s2am_ard_3-2-1_50KRD_2020-06-30_final
2020-08-22 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-22_final
2020-11-14 11:44:34	ga_s2am_ard_3-2-1_50JRT_2020-11-14_final
2020-12-07 11:53:01	ga_s2am_ard_3-2-1_50KQD_2020-12-07_final.stac-item
2020-12-11 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-12-11_final.stac-item
2020-12-14 11:44:27	ga_s2am_ard_3-2-1_50JRT_2020-12-14_final
2020-12-27 11:53:35	ga_s2am_ard_3-2-1_50KPB_2020-12-27_final
2020-12-27 11:54:11	ga_s2am_ard_3-2-1_50KMV_2020-12-27_final
2020-12-27 11:54:25	ga_s2am_ard_3-2-1_50KMU_2020-12-27_final
2021-01-06 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-01-06_final
2021-03-04 11:44:52	ga_s2am_ard_3-2-1_50JPS_2021-03-04_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final
2021-04-13 11:45:06	ga_s2am_ard_3-2-1_50JNR_2021-04-13_final
2021-05-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_50KRA_2021-06-02_final
2021-08-04 11:53:06	ga_s2am_ard_3-2-1_50KQD_2021-08-04_final.stac-item
2021-08-07 12:03:29	ga_s2am_ard_3-2-1_50KLC_2021-08-07_final
2021-08-21 11:44:12	ga_s2am_ard_3-2-1_50KPV_2021-08-21_final
2021-11-12 11:53:58	ga_s2am_ard_3-2-1_50KMA_2021-11-12_final
2021-11-22 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-11-22_final
2021-12-29 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-12-29_final.stac-item
2022-05-11 11:53:25	ga_s2am_ard_3-2-1_50KPC_2022-05-11_final
2022-06-07 11:47:29	ga_s2am_ard_3-2-1_50HNG_2022-06-07_final.stac-item
2022-07-13 12:05:21	ga_s2am_ard_3-2-1_49JFM_2022-07-13_final
2022-07-20 11:57:17	ga_s2am_ard_3-2-1_50HMH_2022-07-20_final
2022-08-03 11:36:59	ga_s2am_ard_3-2-1_50HQJ_2022-08-03_final
2022-11-01 11:36:38	ga_s2am_ard_3-2-1_50HQK_2022-11-01_final.stac-item
2022-12-11 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-12-11_final.stac-item
2022-12-24 11:44:28	ga_s2am_ard_3-2-1_50JRT_2022-12-24_final.stac-item
2023-01-13 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-01-13_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KNA_2023-01-29_final.stac-item
2023-02-25 11:53:58	ga_s2am_ard_3-2-1_50KQV_2023-02-25_final.stac-item
2023-02-28 12:04:19	ga_s2am_ard_3-2-1_50KMU_2023-02-28_final.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-08-24 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2023-08-24_final.stac-item
2023-10-17 11:37:20	ga_s2am_ard_3-2-1_50HPG_2023-10-17_final.stac-item
2023-12-19 11:44:27	ga_s2am_ard_3-2-1_50JRT_2023-12-19_final.stac-item
2023-12-26 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-12-26_final.stac-item
2023-12-29 11:44:28	ga_s2am_ard_3-2-1_50JRT_2023-12-29_final.stac-item
2024-04-04 11:36:21	ga_s2am_ard_3-2-1_50JPL_2024-04-04_final.stac-item
2024-05-10 11:57:09	ga_s2am_ard_3-2-1_50HMH_2024-05-10_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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