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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGN_2015-11-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLN_2016-01-03_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHQ_2016-03-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQK_2016-05-09_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNH_2016-07-08_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNN_2016-10-29_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHR_2016-12-04_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KMB_2017-01-30_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KKA_2017-03-11_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KMB_2017-03-31_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNG_2017-05-04_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49KHR_2017-07-29_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JLL_2017-08-05_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50HPJ_2017-09-08_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50JPL_2018-01-19_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMG_2018-02-08_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HPK_2018-03-20_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-08_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLN_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50KMA_2018-08-10_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-10-02_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JML_2018-10-29_final
2019-05-27 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-05-27_final
2019-05-27 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-05-27_final
2019-10-27 12:06:07	ga_s2am_ard_3-2-1_50JLM_2019-10-27_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final
2020-02-04 12:06:00	ga_s2am_ard_3-2-1_50JKM_2020-02-04_final
2020-03-25 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final
2020-04-24 12:05:16	ga_s2am_ard_3-2-1_49JGL_2020-04-24_final
2020-06-10 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-06-10_final
2020-06-17 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-06-17_final
2020-07-13 12:04:29	ga_s2am_ard_3-2-1_50KLU_2020-07-13_final
2020-08-03 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-08-03_final
2020-09-01 12:03:28	ga_s2am_ard_3-2-1_50KMC_2020-09-01_final
2020-09-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-01_final
2020-09-02 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-02_final.stac-item
2020-09-15 11:46:19	ga_s2am_ard_3-2-1_50JQL_2020-09-15_final
2020-12-23 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-23_final
2021-01-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-02_final
2021-02-02 11:44:30	ga_s2am_ard_3-2-1_50JRT_2021-02-02_final
2021-03-04 11:44:45	ga_s2am_ard_3-2-1_50JRS_2021-03-04_final
2021-03-07 11:55:49	ga_s2am_ard_3-2-1_50JNN_2021-03-07_final
2021-05-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-05-09_final
2021-06-08 12:04:11	ga_s2am_ard_3-2-1_50KLV_2021-06-08_final
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final
2021-07-28 12:04:26	ga_s2am_ard_3-2-1_50KKU_2021-07-28_final
2021-08-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-08-08_final.stac-item
2021-10-20 11:45:41	ga_s2am_ard_3-2-1_50JPP_2021-10-20_final
2022-01-21 11:56:14	ga_s2am_ard_3-2-1_50JKM_2022-01-21_final
2022-01-25 11:36:20	ga_s2am_ard_3-2-1_50JQL_2022-01-25_final
2022-04-11 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-11_final
2022-05-04 12:03:28	ga_s2am_ard_3-2-1_50KMC_2022-05-04_final
2022-05-11 11:55:24	ga_s2am_ard_3-2-1_50JNQ_2022-05-11_final
2022-05-14 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-05-14_final
2022-05-24 12:03:48	ga_s2am_ard_3-2-1_50KLB_2022-05-24_final
2022-06-17 11:46:05	ga_s2am_ard_3-2-1_50JNN_2022-06-17_final
2022-06-17 11:47:13	ga_s2am_ard_3-2-1_50HPH_2022-06-17_final
2022-07-10 11:56:06	ga_s2am_ard_3-2-1_50JMN_2022-07-10_final
2022-08-02 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-08-02_final
2022-08-12 12:05:53	ga_s2am_ard_3-2-1_50JKP_2022-08-12_final
2022-09-01 12:03:53	ga_s2am_ard_3-2-1_50KLB_2022-09-01_final.stac-item
2022-09-18 11:56:20	ga_s2am_ard_3-2-1_50JLM_2022-09-18_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-10-01 12:04:36	ga_s2am_ard_3-2-1_49KGP_2022-10-01_final.stac-item
2022-10-28 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-28_final.stac-item
2022-11-07 11:56:12	ga_s2am_ard_3-2-1_50JMM_2022-11-07_final.stac-item
2023-01-02 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-01-02_final.stac-item
2023-01-02 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-01-02_final.stac-item
2023-01-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-01-09_final.stac-item
2023-01-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-01-19_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final.stac-item
2023-02-25 11:56:02	ga_s2am_ard_3-2-1_50JNM_2023-02-25_final.stac-item
2023-02-28 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-03-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-03-20_final.stac-item
2023-04-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-04-09_final.stac-item
2023-04-10 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2023-04-10_final.stac-item
2023-04-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2023-04-29_final.stac-item
2023-05-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-05-06_final.stac-item
2023-05-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2023-05-16_final.stac-item
2023-05-29 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-05-29_final.stac-item
2023-06-15 11:56:08	ga_s2am_ard_3-2-1_50JNM_2023-06-15_final.stac-item
2023-07-05 11:56:35	ga_s2am_ard_3-2-1_50HNK_2023-07-05_final.stac-item
2023-08-24 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-24_final.stac-item
2023-08-28 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-08-28_final.stac-item
2023-09-06 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-09-06_final.stac-item
2023-10-29 12:13:58	ga_s2am_ard_3-2-1_49KGR_2023-10-29_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-10-29_final.stac-item
2023-11-09 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-11-09_final.stac-item
2023-11-25 12:04:22	ga_s2am_ard_3-2-1_49KHP_2023-11-25_final.stac-item
2024-01-11 11:56:17	ga_s2am_ard_3-2-1_50JML_2024-01-11_final.stac-item
2024-01-24 12:03:20	ga_s2am_ard_3-2-1_50KLC_2024-01-24_final.stac-item
2024-02-17 11:46:32	ga_s2am_ard_3-2-1_50HPK_2024-02-17_final.stac-item
2024-03-14 12:03:41	ga_s2am_ard_3-2-1_50KLB_2024-03-14_final.stac-item
2024-03-24 12:05:53	ga_s2am_ard_3-2-1_50JLN_2024-03-24_final.stac-item
2024-03-31 11:55:52	ga_s2am_ard_3-2-1_50JMN_2024-03-31_final.stac-item
2024-04-03 12:04:29	ga_s2am_ard_3-2-1_49KGP_2024-04-03_final.stac-item
2024-04-13 12:06:06	ga_s2am_ard_3-2-1_50JLM_2024-04-13_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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