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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KLC_2015-10-28_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLR_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLS_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPK_2015-12-21_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-04-25_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HLK_2016-05-12_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JNL_2016-06-21_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHQ_2016-07-27_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_49KHQ_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KKU_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-12-14_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQK_2016-12-22_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_50KKA_2017-01-03_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHP_2017-01-30_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KNB_2017-02-19_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KMA_2017-03-01_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50KNC_2017-04-07_final.stac-item
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final
2019-01-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2019-01-30_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KNA_2019-02-09_final
2019-02-19 12:03:16	ga_s2am_ard_3-2-1_50KNC_2019-02-19_final
2019-02-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-02-22_final
2019-02-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-02-22_final
2019-03-02 11:37:02	ga_s2am_ard_3-2-1_50HPH_2019-03-02_final
2019-03-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-11_final.stac-item
2019-03-11 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-03-11_final
2019-04-10 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2019-04-10_final
2019-08-01 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-08-15 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-08-15_final
2019-09-01 11:47:03	ga_s2am_ard_3-2-1_50HPH_2019-09-01_final
2019-11-09 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2019-11-09_final
2019-11-26 12:03:52	ga_s2am_ard_3-2-1_50KMA_2019-11-26_final
2020-08-15 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-15_final
2020-08-29 11:53:49	ga_s2am_ard_3-2-1_50KPA_2020-08-29_final
2020-09-01 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-01_final
2020-09-28 11:53:44	ga_s2am_ard_3-2-1_50KNB_2020-09-28_final
2020-10-01 12:03:50	ga_s2am_ard_3-2-1_50KNA_2020-10-01_final
2020-10-01 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-01_final
2021-08-31 11:46:10	ga_s2am_ard_3-2-1_50JNM_2021-08-31_final
2021-10-13 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-13_final
2021-10-29 12:13:59	ga_s2am_ard_3-2-1_49KHR_2021-10-29_final
2021-11-29 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-29_final
2021-11-29 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-29_final
2021-12-02 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-12-02_final
2021-12-02 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-02_final
2021-12-06 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-12-06_final
2021-12-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-12-06_final
2022-01-01 11:56:20	ga_s2am_ard_3-2-1_50JNL_2022-01-01_final
2022-01-11 11:56:12	ga_s2am_ard_3-2-1_50JLM_2022-01-11_final
2022-01-11 11:56:31	ga_s2am_ard_3-2-1_50HNK_2022-01-11_final
2022-01-14 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-01-14_final
2022-03-22 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-03-22_final
2022-03-29 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2022-03-29_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-04-21 11:53:29	ga_s2am_ard_3-2-1_50KNC_2022-04-21_final
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-05-15 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-05-15_final
2022-05-24 12:04:40	ga_s2am_ard_3-2-1_50KKU_2022-05-24_final
2022-06-24 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-06-24_final
2022-07-23 12:04:29	ga_s2am_ard_3-2-1_49KGQ_2022-07-23_final
2022-08-12 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-12_final
2022-10-01 12:04:41	ga_s2am_ard_3-2-1_50JKT_2022-10-01_final.stac-item
2022-12-21 11:36:03	ga_s2am_ard_3-2-1_50JQM_2022-12-21_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-02-05 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-02-05_final.stac-item
2023-04-23 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-04-23_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-06-09 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-06-09_final.stac-item
2023-06-12 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2023-06-12_final.stac-item
2023-07-09 11:36:32	ga_s2am_ard_3-2-1_50JPL_2023-07-09_final.stac-item
2023-07-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-07-19_final.stac-item
2023-08-04 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-08-04_final.stac-item
2023-08-14 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-14_final.stac-item
2023-09-17 11:36:41	ga_s2am_ard_3-2-1_50HPK_2023-09-17_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-19 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-11-19_final.stac-item
2023-12-02 11:56:03	ga_s2am_ard_3-2-1_50JLM_2023-12-02_final.stac-item
2023-12-02 11:56:17	ga_s2am_ard_3-2-1_50JLL_2023-12-02_final.stac-item
2023-12-02 11:56:22	ga_s2am_ard_3-2-1_50HNK_2023-12-02_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2023-12-08 12:14:02	ga_s2am_ard_3-2-1_50KKV_2023-12-08_final.stac-item
2023-12-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2023-12-08_final.stac-item
2023-12-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2023-12-08_final.stac-item
2023-12-09 11:46:57	ga_s2am_ard_3-2-1_50HPH_2023-12-09_final.stac-item
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_50KKB_2023-12-15_final.stac-item
2023-12-15 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2023-12-15_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
2024-01-28 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2024-01-28_final.stac-item
2024-03-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-27_final.stac-item
2024-03-31 11:56:29	ga_s2am_ard_3-2-1_50HNK_2024-03-31_final.stac-item
2024-04-10 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-04-10_final.stac-item
2024-04-13 12:06:06	ga_s2am_ard_3-2-1_50JLM_2024-04-13_final.stac-item
2024-04-20 11:56:29	ga_s2am_ard_3-2-1_50JLL_2024-04-20_final.stac-item
2024-04-20 11:57:13	ga_s2am_ard_3-2-1_50HLH_2024-04-20_final.stac-item
2024-04-27 11:46:50	ga_s2am_ard_3-2-1_50HPJ_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

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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