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
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNL_2016-05-29_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JLL_2016-10-29_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KMC_2016-12-11_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKA_2016-12-31_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-01-20_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-03-31_final.stac-item
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHR_2017-05-20_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JLL_2017-08-15_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51JTM_2018-02-18_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51JUF_2018-03-14_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMH_2018-04-12_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLM_2018-05-25_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51JWJ_2018-07-05_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HPJ_2018-10-03_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVK_2018-10-03_final
2019-02-16 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-02-16_final
2019-02-19 12:03:19	ga_s2am_ard_3-2-1_50KMC_2019-02-19_final
2019-02-19 12:05:08	ga_s2am_ard_3-2-1_50JKR_2019-02-19_final
2019-02-26 11:52:30	ga_s2am_ard_3-2-1_50KQF_2019-02-26_final.stac-item
2019-03-18 11:55:50	ga_s2am_ard_3-2-1_50JMN_2019-03-18_final
2019-03-22 11:36:41	ga_s2am_ard_3-2-1_51HUD_2019-03-22_final
2019-04-11 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-04-11_final
2019-06-06 11:56:06	ga_s2am_ard_3-2-1_50JNM_2019-06-06_final
2019-06-09 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-06-09_final
2019-06-17 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2019-06-17_final
2019-06-20 11:36:47	ga_s2am_ard_3-2-1_51HUD_2019-06-20_final
2019-06-27 11:27:03	ga_s2am_ard_3-2-1_51HVC_2019-06-27_final
2019-07-30 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-07-30_final.stac-item
2019-08-22 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-08-22_final
2019-10-10 12:13:57	ga_s2am_ard_3-2-1_50KKA_2019-10-10_final
2019-12-30 11:43:28	ga_s2am_ard_3-2-1_50KRB_2019-12-30_final
2020-01-05 12:05:46	ga_s2am_ard_3-2-1_50JLN_2020-01-05_final
2020-01-12 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-01-12_final.stac-item
2020-01-23 11:26:45	ga_s2am_ard_3-2-1_51HVD_2020-01-23_final
2020-01-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2020-01-28_final
2020-02-24 12:04:19	ga_s2am_ard_3-2-1_50KLU_2020-02-24_final
2020-06-16 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-06-16_final
2020-06-20 11:56:24	ga_s2am_ard_3-2-1_50JNL_2020-06-20_final
2020-07-27 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-07-27_final
2020-08-13 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-08-13_final
2020-08-15 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-15_final
2020-08-15 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-08-15_final
2020-08-29 11:56:23	ga_s2am_ard_3-2-1_50JNL_2020-08-29_final
2020-10-04 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-04_final
2020-12-04 11:46:32	ga_s2am_ard_3-2-1_50HPK_2020-12-04_final
2021-02-05 11:56:17	ga_s2am_ard_3-2-1_50JNL_2021-02-05_final
2021-02-06 11:25:45	ga_s2am_ard_3-2-1_51JVH_2021-02-06_final
2021-03-11 11:36:31	ga_s2am_ard_3-2-1_51HTE_2021-03-11_final
2021-03-14 11:43:32	ga_s2am_ard_3-2-1_50KRB_2021-03-14_final
2021-04-13 11:46:10	ga_s2am_ard_3-2-1_50JQL_2021-04-13_final
2021-04-23 11:46:11	ga_s2am_ard_3-2-1_50JQL_2021-04-23_final
2021-06-02 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-06-02_final
2021-06-08 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-06-08_final
2021-06-18 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-06-18_final
2021-07-15 11:52:37	ga_s2am_ard_3-2-1_50KQF_2021-07-15_final.stac-item
2021-09-20 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-09-20_final
2021-09-23 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-09-23_final
2021-10-07 11:34:30	ga_s2am_ard_3-2-1_51JWN_2021-10-07_final
2021-10-16 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2021-10-16_final
2021-11-06 11:35:30	ga_s2am_ard_3-2-1_51JVJ_2021-11-06_final
2022-02-26 12:13:57	ga_s2am_ard_3-2-1_50KKA_2022-02-26_final
2022-02-28 11:16:26	ga_s2am_ard_3-2-1_51HYE_2022-02-28_final
2022-03-09 11:43:22	ga_s2am_ard_3-2-1_50KRC_2022-03-09_final
2022-03-09 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-04-18 11:43:55	ga_s2am_ard_3-2-1_50KQA_2022-04-18_final
2022-04-24 12:05:02	ga_s2am_ard_3-2-1_49JHM_2022-04-24_final
2022-05-04 12:04:04	ga_s2am_ard_3-2-1_50KKA_2022-05-04_final
2022-05-14 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-05-14_final
2022-06-18 11:16:52	ga_s2am_ard_3-2-1_51HXD_2022-06-18_final
2022-06-20 11:54:31	ga_s2am_ard_3-2-1_50KPU_2022-06-20_final
2022-07-01 11:27:11	ga_s2am_ard_3-2-1_51HVC_2022-07-01_final
2022-07-07 11:46:21	ga_s2am_ard_3-2-1_50JNM_2022-07-07_final
2022-07-24 11:36:01	ga_s2am_ard_3-2-1_50JQN_2022-07-24_final
2022-08-16 11:43:31	ga_s2am_ard_3-2-1_50KRC_2022-08-16_final
2022-08-26 11:46:55	ga_s2am_ard_3-2-1_50HQJ_2022-08-26_final.stac-item
2022-09-05 11:43:16	ga_s2am_ard_3-2-1_50KRD_2022-09-05_final.stac-item
2022-09-25 11:46:33	ga_s2am_ard_3-2-1_50JML_2022-09-25_final.stac-item
2022-10-24 12:13:57	ga_s2am_ard_3-2-1_49KHR_2022-10-24_final.stac-item
2022-11-17 11:52:39	ga_s2am_ard_3-2-1_50KPF_2022-11-17_final.stac-item
2022-12-21 11:34:35	ga_s2am_ard_3-2-1_50JRT_2022-12-21_final.stac-item
2022-12-21 11:36:08	ga_s2am_ard_3-2-1_51JVF_2022-12-21_final.stac-item
2023-02-12 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-02-12_final.stac-item
2023-05-09 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-05-09_final.stac-item
2023-06-02 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2023-06-02_final.stac-item
2023-07-05 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2023-07-05_final.stac-item
2023-07-12 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-07-12_final.stac-item
2023-08-11 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-08-11_final.stac-item
2023-08-18 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-08-18_final.stac-item
2023-08-21 11:43:10	ga_s2am_ard_3-2-1_50KRD_2023-08-21_final.stac-item
2023-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2023-09-20_final.stac-item
2023-11-08 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-11-08_final.stac-item
2023-11-19 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-11-19_final.stac-item
2023-12-22 11:53:21	ga_s2am_ard_3-2-1_50KNC_2023-12-22_final.stac-item
2023-12-22 11:53:27	ga_s2am_ard_3-2-1_50KMC_2023-12-22_final.stac-item
2024-02-04 11:35:52	ga_s2am_ard_3-2-1_51JVG_2024-02-04_final.stac-item
2024-02-13 12:05:47	ga_s2am_ard_3-2-1_50JKN_2024-02-13_final.stac-item
2024-03-08 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2024-03-08_final.stac-item
2024-03-11 11:54:48	ga_s2am_ard_3-2-1_50JPS_2024-03-11_final.stac-item
2024-04-01 11:25:52	ga_s2am_ard_3-2-1_51JXG_2024-04-01_final.stac-item
2024-04-30 11:56:03	ga_s2am_ard_3-2-1_50JKN_2024-04-30_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