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_49JGL_2015-11-30_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KMC_2015-12-04_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLM_2016-03-03_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPJ_2016-03-07_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLT_2016-04-15_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGK_2016-05-05_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50JPR_2016-08-17_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLH_2016-09-19_final.stac-item
2016-11-08 11:56:06	ga_s2am_ard_3-2-1_50JMM_2016-11-08_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGP_2016-12-04_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMG_2016-12-15_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-01-30_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_50KKA_2017-04-23_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_50KKB_2017-05-13_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKN_2017-06-19_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JKT_2017-12-16_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKS_2017-12-26_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KKU_2018-01-05_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KMC_2018-01-05_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KMC_2018-02-11_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HLH_2018-02-21_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNH_2018-04-29_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JPL_2018-04-29_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPJ_2018-05-06_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JNM_2018-05-19_final
2018-11-21 12:03:52	ga_s2am_ard_3-2-1_49KHR_2018-11-21_final
2018-11-22 11:36:56	ga_s2am_ard_3-2-1_50HQH_2018-11-22_final
2019-01-17 11:55:52	ga_s2am_ard_3-2-1_50JLN_2019-01-17_final
2019-01-21 11:36:59	ga_s2am_ard_3-2-1_50HQH_2019-01-21_final
2019-03-15 11:45:35	ga_s2am_ard_3-2-1_50JNP_2019-03-15_final
2019-03-18 11:56:05	ga_s2am_ard_3-2-1_50JMM_2019-03-18_final
2019-03-31 12:03:59	ga_s2am_ard_3-2-1_50KKA_2019-03-31_final
2019-04-14 11:46:55	ga_s2am_ard_3-2-1_50HQH_2019-04-14_final
2019-04-27 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-04-27_final
2019-05-31 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-05-31_final
2019-07-09 12:04:30	ga_s2am_ard_3-2-1_50KLU_2019-07-09_final
2019-07-29 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-07-29_final
2019-09-04 11:56:11	ga_s2am_ard_3-2-1_50JLM_2019-09-04_final
2019-09-17 12:03:40	ga_s2am_ard_3-2-1_50KLB_2019-09-17_final
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final
2019-12-30 11:47:21	ga_s2am_ard_3-2-1_50HLG_2019-12-30_final.stac-item
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final
2020-01-25 12:04:24	ga_s2am_ard_3-2-1_49KGP_2020-01-25_final
2020-01-29 11:47:07	ga_s2am_ard_3-2-1_50HLH_2020-01-29_final
2020-02-07 12:14:19	ga_s2am_ard_3-2-1_49KGP_2020-02-07_final
2020-02-18 11:46:07	ga_s2am_ard_3-2-1_50JMM_2020-02-18_final
2020-06-04 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-06-04_final
2020-08-05 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-08-05_final
2020-08-26 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-08-26_final
2020-08-29 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-08-29_final
2020-10-21 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-10-21_final
2020-10-31 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-31_final
2020-11-04 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-11-04_final
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final
2021-01-02 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-01-02_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-01-29 12:03:41	ga_s2am_ard_3-2-1_50KLB_2021-01-29_final
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-01_final
2021-02-15 11:56:07	ga_s2am_ard_3-2-1_50JMM_2021-02-15_final
2021-04-13 11:46:10	ga_s2am_ard_3-2-1_50JQL_2021-04-13_final
2021-05-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-05-09_final
2021-06-18 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-06-18_final
2021-06-22 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-06-22_final
2021-09-13 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-09-13_final
2021-09-30 11:47:25	ga_s2am_ard_3-2-1_50HNG_2021-09-30_final.stac-item
2021-11-26 11:34:49	ga_s2am_ard_3-2-1_50JRS_2021-11-26_final
2022-01-04 12:06:06	ga_s2am_ard_3-2-1_50JLM_2022-01-04_final
2022-02-26 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-02-26_final
2022-05-15 11:36:09	ga_s2am_ard_3-2-1_50JQM_2022-05-15_final
2022-06-23 12:04:37	ga_s2am_ard_3-2-1_50KLU_2022-06-23_final
2022-06-26 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-06-26_final
2022-06-30 11:56:17	ga_s2am_ard_3-2-1_50JNM_2022-06-30_final
2022-07-06 12:14:54	ga_s2am_ard_3-2-1_49JGN_2022-07-06_final
2022-07-07 11:46:26	ga_s2am_ard_3-2-1_50JMM_2022-07-07_final
2022-07-26 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-07-26_final
2022-07-27 11:46:47	ga_s2am_ard_3-2-1_50HNK_2022-07-27_final
2022-08-02 12:04:24	ga_s2am_ard_3-2-1_50KKV_2022-08-02_final
2022-09-11 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-09-11_final.stac-item
2022-09-18 11:56:02	ga_s2am_ard_3-2-1_50JMN_2022-09-18_final.stac-item
2022-11-30 12:04:28	ga_s2am_ard_3-2-1_50KKU_2022-11-30_final.stac-item
2022-12-10 12:03:59	ga_s2am_ard_3-2-1_50KKA_2022-12-10_final.stac-item
2022-12-10 12:04:32	ga_s2am_ard_3-2-1_49KGP_2022-12-10_final.stac-item
2023-01-09 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-01-09_final.stac-item
2023-01-12 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-01-12_final.stac-item
2023-03-20 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-03-20_final.stac-item
2023-04-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-04-03_final.stac-item
2023-05-19 12:05:17	ga_s2am_ard_3-2-1_49JGL_2023-05-19_final.stac-item
2023-06-05 11:56:08	ga_s2am_ard_3-2-1_50JNM_2023-06-05_final.stac-item
2023-06-08 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-06-08_final.stac-item
2023-06-12 11:46:17	ga_s2am_ard_3-2-1_50JMM_2023-06-12_final.stac-item
2023-08-17 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-08-17_final.stac-item
2023-08-31 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-31_final.stac-item
2023-09-03 11:55:00	ga_s2am_ard_3-2-1_50JMS_2023-09-03_final.stac-item
2024-01-21 11:55:05	ga_s2am_ard_3-2-1_50JLR_2024-01-21_final.stac-item
2024-01-21 11:56:22	ga_s2am_ard_3-2-1_50HNK_2024-01-21_final.stac-item
2024-01-24 12:04:25	ga_s2am_ard_3-2-1_49KGP_2024-01-24_final.stac-item
2024-02-04 11:36:34	ga_s2am_ard_3-2-1_50HPK_2024-02-04_final.stac-item
2024-03-01 11:53:38	ga_s2am_ard_3-2-1_50KMB_2024-03-01_final.stac-item
2024-03-14 12:05:37	ga_s2am_ard_3-2-1_50JLP_2024-03-14_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

All years