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_49KGQ_2015-10-28_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JMS_2016-01-16_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-03-06_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGQ_2016-11-14_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKR_2016-12-11_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-12-11_final
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-03-22 11:35:56	ga_s2am_ard_3-2-1_50JQM_2017-03-22_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPH_2018-08-07_final
2018-12-11 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-11_final
2018-12-14 12:14:22	ga_s2am_ard_3-2-1_49JHN_2018-12-14_final
2019-01-20 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-01-20_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-02-26 11:56:06	ga_s2am_ard_3-2-1_50JLM_2019-02-26_final
2019-03-05 11:46:20	ga_s2am_ard_3-2-1_50JML_2019-03-05_final
2019-03-15 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-03-15_final
2019-06-09 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-06-09_final
2019-07-16 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-16_final.stac-item
2019-08-01 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-08-01_final
2019-08-01 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-08-01_final
2019-10-18 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-10-18_final.stac-item
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2019-11-29 12:13:53	ga_s2am_ard_3-2-1_50KKA_2019-11-29_final
2019-11-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2019-11-29_final
2019-12-16 12:03:53	ga_s2am_ard_3-2-1_50KKA_2019-12-16_final
2019-12-16 12:04:34	ga_s2am_ard_3-2-1_50JLT_2019-12-16_final
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-02-18 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-02-18_final
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final
2020-07-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-07-07_final.stac-item
2020-08-12 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-12_final
2020-09-08 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-09-08_final
2020-09-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-09-22_final
2021-02-08 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-02-08_final
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-08-24 11:56:24	ga_s2am_ard_3-2-1_50JML_2021-08-24_final
2021-10-17 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-17_final
2021-12-19 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-12-19_final.stac-item
2021-12-22 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-12-22_final
2022-01-05 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-05_final
2022-01-11 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-11_final
2022-01-15 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2022-01-15_final
2022-01-28 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-01-28_final
2022-02-10 11:56:24	ga_s2am_ard_3-2-1_50JLL_2022-02-10_final
2022-03-06 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-06_final
2022-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-05-18_final
2022-06-23 12:04:46	ga_s2am_ard_3-2-1_50JKT_2022-06-23_final
2022-06-27 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-06-27_final
2022-07-10 11:56:09	ga_s2am_ard_3-2-1_50JLN_2022-07-10_final
2022-07-13 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-08-19 11:56:09	ga_s2am_ard_3-2-1_50JLN_2022-08-19_final
2022-08-29 11:56:23	ga_s2am_ard_3-2-1_50JLM_2022-08-29_final
2022-08-29 11:56:35	ga_s2am_ard_3-2-1_50JML_2022-08-29_final
2022-09-08 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-09-08_final.stac-item
2022-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-11-30_final.stac-item
2023-01-12 12:14:57	ga_s2am_ard_3-2-1_49JFM_2023-01-12_final.stac-item
2023-01-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-01-23_final.stac-item
2023-02-02 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-02-02_final.stac-item
2023-03-07 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-03-07_final.stac-item
2023-03-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2023-03-11_final.stac-item
2023-03-27 11:56:16	ga_s2am_ard_3-2-1_50JNL_2023-03-27_final.stac-item
2023-04-20 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-04-20_final.stac-item
2023-05-16 11:56:12	ga_s2am_ard_3-2-1_50JLM_2023-05-16_final.stac-item
2023-07-05 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-07-05_final.stac-item
2023-07-15 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-07-15_final.stac-item
2023-07-22 11:46:57	ga_s2am_ard_3-2-1_50HQH_2023-07-22_final.stac-item
2023-08-04 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-08-04_final.stac-item
2023-08-14 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-08-14_final.stac-item
2023-08-14 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-14_final.stac-item
2023-08-28 11:36:32	ga_s2am_ard_3-2-1_50JPL_2023-08-28_final.stac-item
2023-09-16 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-09-16_final.stac-item
2023-09-17 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2023-09-17_final.stac-item
2023-09-27 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-09-27_final.stac-item
2023-10-16 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-10-16_final.stac-item
2023-10-20 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-10-20_final.stac-item
2023-10-20 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-10-20_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-10-29_final.stac-item
2023-11-02 11:55:48	ga_s2am_ard_3-2-1_50JLP_2023-11-02_final.stac-item
2023-12-02 11:56:14	ga_s2am_ard_3-2-1_50JML_2023-12-02_final.stac-item
2023-12-05 12:04:42	ga_s2am_ard_3-2-1_50JMS_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
2023-12-15 12:06:00	ga_s2am_ard_3-2-1_50JLM_2023-12-15_final.stac-item
2023-12-22 11:56:18	ga_s2am_ard_3-2-1_50JML_2023-12-22_final.stac-item
2023-12-29 11:46:50	ga_s2am_ard_3-2-1_50HQH_2023-12-29_final.stac-item
2024-01-07 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-01-07_final.stac-item
2024-01-18 11:46:39	ga_s2am_ard_3-2-1_50HPJ_2024-01-18_final.stac-item
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final.stac-item
2024-01-24 12:05:45	ga_s2am_ard_3-2-1_50JLN_2024-01-24_final.stac-item
2024-01-31 11:56:05	ga_s2am_ard_3-2-1_50JNM_2024-01-31_final.stac-item
2024-01-31 11:56:17	ga_s2am_ard_3-2-1_50JML_2024-01-31_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
2024-03-14 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2024-03-14_final.stac-item
2024-03-21 11:56:23	ga_s2am_ard_3-2-1_50JML_2024-03-21_final.stac-item
2024-03-31 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-31_final.stac-item
2024-04-04 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-04-04_final.stac-item
2024-04-17 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2024-04-17_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

Other products

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