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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGR_2015-10-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPH_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPK_2015-12-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HNK_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQF_2016-01-03_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KNB_2016-01-16_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-04-08_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_50KKV_2016-07-27_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_50KKB_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-12-14_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHR_2017-01-30_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMS_2017-01-30_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2017-02-19_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNB_2017-02-19_final
2017-06-12 12:13:44	ga_s2am_ard_3-2-1_50KKA_2017-06-12_final
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2017-10-20_final
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KQG_2018-07-31_final.stac-item
2019-01-10 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-01-10_final
2019-02-09 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2019-02-09_final
2019-02-26 11:56:21	ga_s2am_ard_3-2-1_50JLL_2019-02-26_final
2019-06-06 11:52:39	ga_s2am_ard_3-2-1_50KPF_2019-06-06_final.stac-item
2019-08-01 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-08-01_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_50KKU_2019-08-01_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-11-13 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-11-13_final.stac-item
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2019-12-09 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-12-09_final
2019-12-26 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2019-12-26_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-04-21 11:52:38	ga_s2am_ard_3-2-1_50KPF_2020-04-21_final.stac-item
2020-09-18 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-09-18_final.stac-item
2020-10-01 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-01_final
2020-12-17 11:52:17	ga_s2am_ard_3-2-1_50KQG_2020-12-17_final.stac-item
2021-08-24 11:56:24	ga_s2am_ard_3-2-1_50JML_2021-08-24_final
2021-09-14 11:27:03	ga_s2am_ard_3-2-1_51HUC_2021-09-14_final
2021-11-29 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-29_final
2021-12-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-12-06_final
2021-12-06 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-12-06_final
2021-12-13 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-12-13_final
2021-12-25 12:06:05	ga_s2am_ard_3-2-1_50JLM_2021-12-25_final
2022-01-11 11:56:12	ga_s2am_ard_3-2-1_50JLM_2022-01-11_final
2022-01-11 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-11_final
2022-01-28 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-01-28_final
2022-02-10 11:56:10	ga_s2am_ard_3-2-1_50JLM_2022-02-10_final
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final
2022-03-22 11:56:14	ga_s2am_ard_3-2-1_50JLM_2022-03-22_final
2022-03-22 11:56:29	ga_s2am_ard_3-2-1_50JLL_2022-03-22_final
2022-04-24 12:06:09	ga_s2am_ard_3-2-1_50JLM_2022-04-24_final
2022-04-25 11:37:12	ga_s2am_ard_3-2-1_50HPH_2022-04-25_final
2022-06-21 11:27:14	ga_s2am_ard_3-2-1_51HUC_2022-06-21_final
2022-07-03 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-07-03_final
2022-08-29 11:56:35	ga_s2am_ard_3-2-1_50JML_2022-08-29_final
2022-09-28 11:52:27	ga_s2am_ard_3-2-1_50KQG_2022-09-28_final.stac-item
2022-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2022-10-08_final.stac-item
2022-12-07 11:52:20	ga_s2am_ard_3-2-1_50KQG_2022-12-07_final.stac-item
2022-12-14 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-12-14_final.stac-item
2022-12-30 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-30_final.stac-item
2023-01-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-01-09_final.stac-item
2023-05-16 11:56:12	ga_s2am_ard_3-2-1_50JLM_2023-05-16_final.stac-item
2023-05-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2023-05-16_final.stac-item
2023-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2023-05-16_final.stac-item
2023-07-02 11:46:58	ga_s2am_ard_3-2-1_50HQH_2023-07-02_final.stac-item
2023-07-02 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-07-02_final.stac-item
2023-07-22 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-07-22_final.stac-item
2023-08-11 11:47:11	ga_s2am_ard_3-2-1_50HNH_2023-08-11_final.stac-item
2023-08-14 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-14_final.stac-item
2023-08-14 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-14_final.stac-item
2023-08-24 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2023-08-24_final.stac-item
2023-11-15 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-11-15_final.stac-item
2023-11-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2023-11-28_final.stac-item
2023-12-02 11:56:03	ga_s2am_ard_3-2-1_50JLM_2023-12-02_final.stac-item
2023-12-05 12:03:16	ga_s2am_ard_3-2-1_50KMC_2023-12-05_final.stac-item
2023-12-06 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2023-12-06_final.stac-item
2023-12-08 12:14:21	ga_s2am_ard_3-2-1_49KGP_2023-12-08_final.stac-item
2023-12-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2023-12-16_final.stac-item
2023-12-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-12-22_final.stac-item
2024-01-08 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-01-08_final.stac-item
2024-01-11 11:52:14	ga_s2am_ard_3-2-1_50KQG_2024-01-11_final.stac-item
2024-01-11 11:56:06	ga_s2am_ard_3-2-1_50JLM_2024-01-11_final.stac-item
2024-01-11 11:56:35	ga_s2am_ard_3-2-1_50HLK_2024-01-11_final.stac-item
2024-01-15 11:36:45	ga_s2am_ard_3-2-1_50HPJ_2024-01-15_final.stac-item
2024-01-18 11:46:53	ga_s2am_ard_3-2-1_50HPH_2024-01-18_final.stac-item
2024-01-31 11:56:21	ga_s2am_ard_3-2-1_50JLL_2024-01-31_final.stac-item
2024-02-07 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2024-02-07_final.stac-item
2024-02-07 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-02-07_final.stac-item
2024-02-10 11:56:22	ga_s2am_ard_3-2-1_50JLL_2024-02-10_final.stac-item
2024-02-27 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2024-02-27_final.stac-item
2024-03-01 11:56:11	ga_s2am_ard_3-2-1_50JLM_2024-03-01_final.stac-item
2024-03-01 11:56:22	ga_s2am_ard_3-2-1_50JML_2024-03-01_final.stac-item
2024-03-01 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-01_final.stac-item
2024-03-08 11:46:30	ga_s2am_ard_3-2-1_50HQK_2024-03-08_final.stac-item
2024-03-11 11:56:30	ga_s2am_ard_3-2-1_50HNK_2024-03-11_final.stac-item
2024-03-14 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-14_final.stac-item
2024-03-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2024-03-17_final.stac-item
2024-03-31 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-31_final.stac-item
2024-04-17 11:46:56	ga_s2am_ard_3-2-1_50HQH_2024-04-17_final.stac-item
2024-04-27 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-04-27_final.stac-item
2024-05-07 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-05-07_final.stac-item
2024-05-17 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-05-17_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

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