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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQL_2015-12-21_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHR_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPP_2016-01-03_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLR_2016-01-16_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JFM_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
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMS_2016-03-16_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JPP_2016-04-02_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-04-25_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JNL_2016-06-21_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMS_2016-09-02_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHR_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KKV_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KNC_2016-12-11_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KNA_2017-01-20_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMS_2017-01-30_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-02-22_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLL_2017-02-26_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KKA_2017-03-01_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JLT_2017-03-01_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHR_2017-05-03_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JLM_2017-07-26_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JNL_2017-08-05_final
2018-11-24 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-11-24_final
2019-01-17 11:53:27	ga_s2am_ard_3-2-1_50KMC_2019-01-17_final
2019-02-19 12:03:16	ga_s2am_ard_3-2-1_50KNC_2019-02-19_final
2019-02-19 12:03:23	ga_s2am_ard_3-2-1_50KLC_2019-02-19_final
2019-02-26 11:52:33	ga_s2am_ard_3-2-1_50KPF_2019-02-26_final.stac-item
2019-02-26 11:53:20	ga_s2am_ard_3-2-1_50KNC_2019-02-26_final
2019-04-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-04-03_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-08-01 12:13:59	ga_s2am_ard_3-2-1_50KKA_2019-08-01_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-11-13 11:54:54	ga_s2am_ard_3-2-1_50JNS_2019-11-13_final
2019-11-29 12:13:53	ga_s2am_ard_3-2-1_50KKA_2019-11-29_final
2019-11-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-11-29_final
2019-12-13 11:53:27	ga_s2am_ard_3-2-1_50KMC_2019-12-13_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_50KNA_2019-12-16_final
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final
2020-02-04 12:05:36	ga_s2am_ard_3-2-1_49JGJ_2020-02-04_final
2020-02-14 12:03:37	ga_s2am_ard_3-2-1_50KKB_2020-02-14_final
2020-02-18 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-02-18_final
2020-05-04 12:04:46	ga_s2am_ard_3-2-1_50JKT_2020-05-04_final
2020-05-31 11:52:26	ga_s2am_ard_3-2-1_50KQG_2020-05-31_final.stac-item
2020-07-10 11:52:38	ga_s2am_ard_3-2-1_50KQF_2020-07-10_final.stac-item
2020-07-30 11:52:40	ga_s2am_ard_3-2-1_50KQF_2020-07-30_final.stac-item
2020-08-15 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-08-15_final
2020-09-01 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-09-01_final
2020-09-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-09-04_final
2020-09-12 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-09-12_final
2020-09-12 11:37:21	ga_s2am_ard_3-2-1_50HQG_2020-09-12_final.stac-item
2020-09-15 11:43:23	ga_s2am_ard_3-2-1_50KRC_2020-09-15_final
2020-10-01 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-01_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_50KKU_2020-10-04_final
2020-11-27 11:52:20	ga_s2am_ard_3-2-1_50KQG_2020-11-27_final.stac-item
2020-12-27 11:57:23	ga_s2am_ard_3-2-1_50HLG_2020-12-27_final.stac-item
2021-02-19 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-02-19_final
2021-07-02 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-07-02_final
2021-09-30 11:47:21	ga_s2am_ard_3-2-1_50HPG_2021-09-30_final.stac-item
2021-10-26 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-26_final
2021-10-27 11:35:55	ga_s2am_ard_3-2-1_50JQN_2021-10-27_final
2021-12-22 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-12-22_final.stac-item
2022-01-11 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-01-11_final
2022-01-15 11:37:22	ga_s2am_ard_3-2-1_50HPG_2022-01-15_final.stac-item
2022-01-24 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2022-01-24_final
2022-02-03 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-02-03_final
2022-03-06 11:36:09	ga_s2am_ard_3-2-1_50JQM_2022-03-06_final
2022-03-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-06_final
2022-04-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-04-01_final
2022-04-11 11:56:24	ga_s2am_ard_3-2-1_50JML_2022-04-11_final
2022-04-11 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-04-11_final
2022-07-23 12:05:26	ga_s2am_ard_3-2-1_49JGL_2022-07-23_final
2022-08-03 11:37:28	ga_s2am_ard_3-2-1_50HQG_2022-08-03_final.stac-item
2022-09-15 11:45:45	ga_s2am_ard_3-2-1_50JPP_2022-09-15_final.stac-item
2023-01-13 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-01-13_final.stac-item
2023-01-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-01-19_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-03-07 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-03-07_final.stac-item
2023-05-16 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-05-16_final.stac-item
2023-06-02 11:47:06	ga_s2am_ard_3-2-1_50HPH_2023-06-02_final.stac-item
2023-08-24 11:56:28	ga_s2am_ard_3-2-1_50JML_2023-08-24_final.stac-item
2023-08-24 11:56:32	ga_s2am_ard_3-2-1_50JLL_2023-08-24_final.stac-item
2023-09-10 11:46:28	ga_s2am_ard_3-2-1_50JNL_2023-09-10_final.stac-item
2023-10-20 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-10-20_final.stac-item
2023-12-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2023-12-08_final.stac-item
2023-12-19 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-12-19_final.stac-item
2023-12-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2023-12-22_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2024-01-01 11:52:21	ga_s2am_ard_3-2-1_50KQG_2024-01-01_final.stac-item
2024-01-08 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-01-08_final.stac-item
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-01-28 11:46:57	ga_s2am_ard_3-2-1_50HPH_2024-01-28_final.stac-item
2024-02-23 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2024-02-23_final.stac-item
2024-02-27 11:47:01	ga_s2am_ard_3-2-1_50HPH_2024-02-27_final.stac-item
2024-03-08 11:43:22	ga_s2am_ard_3-2-1_50KQC_2024-03-08_final.stac-item
2024-03-25 11:37:00	ga_s2am_ard_3-2-1_50HPJ_2024-03-25_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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