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
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLT_2016-04-15_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HQJ_2016-04-29_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQK_2016-05-09_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-06-07_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-08-06_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50JMM_2016-09-06_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNK_2016-09-26_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKN_2016-10-22_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JKN_2016-12-28_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HQJ_2017-02-03_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPH_2017-02-20_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JNL_2017-10-04_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNJ_2018-01-19_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNJ_2018-04-09_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-16_final
2018-12-08 11:56:22	ga_s2am_ard_3-2-1_50HNK_2018-12-08_final
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final
2019-01-04 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-01-04_final
2019-02-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2019-02-23_final
2019-05-24 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-24_final
2019-05-27 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-05-27_final
2019-06-06 11:55:44	ga_s2am_ard_3-2-1_50JKP_2019-06-06_final
2019-11-06 12:04:45	ga_s2am_ard_3-2-1_50JKT_2019-11-06_final
2019-11-16 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-11-16_final
2019-11-27 11:37:21	ga_s2am_ard_3-2-1_50HPG_2019-11-27_final.stac-item
2019-12-10 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-12-10_final
2019-12-19 12:14:50	ga_s2am_ard_3-2-1_49JGM_2019-12-19_final
2019-12-30 11:46:17	ga_s2am_ard_3-2-1_50JNL_2019-12-30_final
2020-01-19 11:46:31	ga_s2am_ard_3-2-1_50HNK_2020-01-19_final
2020-02-11 11:56:04	ga_s2am_ard_3-2-1_50JLM_2020-02-11_final
2020-03-18 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-18_final
2020-04-18 11:47:07	ga_s2am_ard_3-2-1_50HNH_2020-04-18_final
2020-05-04 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-05-04_final
2020-05-08 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-05-08_final
2020-07-13 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-07-13_final
2020-08-12 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-08-12_final
2020-11-10 12:04:32	ga_s2am_ard_3-2-1_49KHP_2020-11-10_final
2020-11-27 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2020-11-27_final
2020-12-10 12:04:28	ga_s2am_ard_3-2-1_49KGP_2020-12-10_final
2021-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-02-08_final
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-03-20_final.stac-item
2021-03-21 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2021-03-21_final
2021-03-27 11:54:42	ga_s2am_ard_3-2-1_50JLT_2021-03-27_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-05-23 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-05-23_final
2021-06-02 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-06-02_final
2021-08-07 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-08-07_final
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-26_final
2021-11-29 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-29_final
2021-12-25 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-12-25_final
2022-01-21 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-01-21_final.stac-item
2022-03-02 11:55:56	ga_s2am_ard_3-2-1_50JMN_2022-03-02_final
2022-04-21 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-04-21_final.stac-item
2022-04-25 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-04-25_final
2022-04-28 11:46:31	ga_s2am_ard_3-2-1_50JML_2022-04-28_final
2022-05-04 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-05-04_final
2022-06-13 12:05:36	ga_s2am_ard_3-2-1_50JKQ_2022-06-13_final
2022-06-24 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-06-24_final.stac-item
2022-08-13 11:36:54	ga_s2am_ard_3-2-1_50HPK_2022-08-13_final
2022-09-28 11:56:37	ga_s2am_ard_3-2-1_50HNK_2022-09-28_final.stac-item
2022-11-20 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-11-20_final.stac-item
2022-11-27 11:56:25	ga_s2am_ard_3-2-1_50JLL_2022-11-27_final.stac-item
2022-12-14 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-12-14_final.stac-item
2022-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2022-12-21_final.stac-item
2023-01-02 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-01-02_final.stac-item
2023-01-09 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-01-09_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-01-30_final.stac-item
2023-02-18 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-18_final.stac-item
2023-02-25 11:56:16	ga_s2am_ard_3-2-1_50JNL_2023-02-25_final.stac-item
2023-03-01 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-03-01_final.stac-item
2023-03-21 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-21_final.stac-item
2023-04-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-04-06_final.stac-item
2023-06-05 11:55:57	ga_s2am_ard_3-2-1_50JMN_2023-06-05_final.stac-item
2023-06-28 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-06-28_final.stac-item
2023-06-28 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-06-28_final.stac-item
2023-07-05 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-07-05_final.stac-item
2023-07-12 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2023-07-12_final.stac-item
2023-07-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-07-19_final.stac-item
2023-07-28 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-07-28_final.stac-item
2023-07-28 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-28_final.stac-item
2023-08-28 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-28_final.stac-item
2023-09-16 12:05:44	ga_s2am_ard_3-2-1_50JKP_2023-09-16_final.stac-item
2023-11-09 11:46:53	ga_s2am_ard_3-2-1_50HQH_2023-11-09_final.stac-item
2023-11-22 11:56:14	ga_s2am_ard_3-2-1_50JNL_2023-11-22_final.stac-item
2023-11-29 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2023-11-29_final.stac-item
2023-12-02 11:55:34	ga_s2am_ard_3-2-1_50JLP_2023-12-02_final.stac-item
2023-12-08 12:14:35	ga_s2am_ard_3-2-1_49JGN_2023-12-08_final.stac-item
2023-12-18 12:14:23	ga_s2am_ard_3-2-1_49KGP_2023-12-18_final.stac-item
2023-12-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-12-18_final.stac-item
2023-12-22 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-12-22_final.stac-item
2023-12-28 12:14:24	ga_s2am_ard_3-2-1_49KGP_2023-12-28_final.stac-item
2024-02-20 11:56:16	ga_s2am_ard_3-2-1_50JNL_2024-02-20_final.stac-item
2024-04-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2024-04-23_final.stac-item
2024-05-03 12:05:44	ga_s2am_ard_3-2-1_50JKP_2024-05-03_final.stac-item
2024-05-23 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-05-23_nrt.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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