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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JPL_2015-12-21_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-09_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KKV_2016-10-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKQ_2016-11-11_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_50KKA_2016-11-24_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HNK_2016-12-08_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KLU_2017-01-20_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JGN_2017-03-14_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_50KKA_2017-03-14_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JPL_2017-05-04_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JNN_2017-07-03_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JNM_2017-07-23_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-01_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLK_2017-09-14_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-10-10_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KPC_2017-11-13_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_50KKA_2017-11-16_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KNC_2018-02-11_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHR_2018-03-26_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JNM_2018-05-02_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKS_2018-05-25_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KPB_2018-06-11_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-11_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMJ_2018-07-31_final
2018-08-30 11:48:24	ga_s2am_ard_3-2-1_50KQC_2018-08-30_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_50KKA_2018-11-11_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_50KKA_2018-12-04_final
2019-01-20 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-20_final
2019-01-31 11:36:31	ga_s2am_ard_3-2-1_50HQK_2019-01-31_final
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-04-20 12:03:23	ga_s2am_ard_3-2-1_50KNC_2019-04-20_final
2019-07-12 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-07-12_final
2019-08-01 12:14:03	ga_s2am_ard_3-2-1_49KGR_2019-08-01_final
2019-08-02 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2019-08-02_final
2019-09-04 11:55:49	ga_s2am_ard_3-2-1_50JNN_2019-09-04_final
2019-09-04 11:55:53	ga_s2am_ard_3-2-1_50JMN_2019-09-04_final
2019-11-20 11:46:24	ga_s2am_ard_3-2-1_50JNL_2019-11-20_final
2020-01-02 11:56:20	ga_s2am_ard_3-2-1_50JLL_2020-01-02_final
2020-01-16 11:36:23	ga_s2am_ard_3-2-1_50JPL_2020-01-16_final
2020-02-04 12:05:33	ga_s2am_ard_3-2-1_50JKP_2020-02-04_final
2020-03-12 11:55:56	ga_s2am_ard_3-2-1_50JKN_2020-03-12_final
2020-09-05 11:44:49	ga_s2am_ard_3-2-1_50JRS_2020-09-05_final
2020-11-04 11:46:05	ga_s2am_ard_3-2-1_50JQM_2020-11-04_final
2020-11-04 11:46:27	ga_s2am_ard_3-2-1_50JNL_2020-11-04_final
2020-11-27 11:53:25	ga_s2am_ard_3-2-1_50KNC_2020-11-27_final
2020-12-04 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-12-04_final
2020-12-10 12:04:28	ga_s2am_ard_3-2-1_49KGP_2020-12-10_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-02-02 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-02_final.stac-item
2021-02-15 11:56:39	ga_s2am_ard_3-2-1_50HLK_2021-02-15_final
2021-02-28 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-02-28_final
2021-04-06 11:56:26	ga_s2am_ard_3-2-1_50HNK_2021-04-06_final
2021-04-22 12:14:22	ga_s2am_ard_3-2-1_49KGP_2021-04-22_final
2021-05-16 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-05-16_final
2021-05-19 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-05-19_final
2021-06-08 12:06:05	ga_s2am_ard_3-2-1_50JLM_2021-06-08_final
2021-07-18 12:04:31	ga_s2am_ard_3-2-1_49KHP_2021-07-18_final
2021-07-18 12:04:46	ga_s2am_ard_3-2-1_50JKT_2021-07-18_final
2021-08-14 11:53:33	ga_s2am_ard_3-2-1_50KMC_2021-08-14_final
2021-10-03 11:55:17	ga_s2am_ard_3-2-1_50JLR_2021-10-03_final
2021-10-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2021-10-10_final
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final
2022-01-11 11:56:19	ga_s2am_ard_3-2-1_50JNL_2022-01-11_final
2022-02-04 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2022-02-04_final
2022-02-13 12:04:10	ga_s2am_ard_3-2-1_50KLV_2022-02-13_final
2022-02-13 12:05:29	ga_s2am_ard_3-2-1_49JGK_2022-02-13_final
2022-03-12 11:54:23	ga_s2am_ard_3-2-1_50KPU_2022-03-12_final
2022-05-14 12:03:27	ga_s2am_ard_3-2-1_50KMC_2022-05-14_final
2022-05-21 11:53:31	ga_s2am_ard_3-2-1_50KNC_2022-05-21_final
2022-05-21 11:56:06	ga_s2am_ard_3-2-1_50JMN_2022-05-21_final
2022-07-13 12:04:41	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-07-26 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-07-26_final
2022-10-08 11:53:37	ga_s2am_ard_3-2-1_50KMC_2022-10-08_final.stac-item
2022-10-11 12:04:34	ga_s2am_ard_3-2-1_49KGP_2022-10-11_final.stac-item
2022-11-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-11-14_final.stac-item
2022-11-17 11:55:51	ga_s2am_ard_3-2-1_50JNN_2022-11-17_final.stac-item
2022-12-10 12:03:59	ga_s2am_ard_3-2-1_50KKA_2022-12-10_final.stac-item
2023-01-13 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-01-13_final.stac-item
2023-02-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-04-03 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-04-03_final.stac-item
2023-07-28 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-28_final.stac-item
2023-08-27 12:06:01	ga_s2am_ard_3-2-1_50JKN_2023-08-27_final.stac-item
2023-09-06 12:04:30	ga_s2am_ard_3-2-1_50KLU_2023-09-06_final.stac-item
2023-09-20 11:46:28	ga_s2am_ard_3-2-1_50JML_2023-09-20_final.stac-item
2023-09-30 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2023-09-30_final.stac-item
2023-10-10 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-10-10_final.stac-item
2023-10-23 11:56:30	ga_s2am_ard_3-2-1_50HNK_2023-10-23_final.stac-item
2023-10-30 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-30_final.stac-item
2023-11-25 12:05:35	ga_s2am_ard_3-2-1_50JKP_2023-11-25_final.stac-item
2023-12-08 12:15:05	ga_s2am_ard_3-2-1_49JGL_2023-12-08_final.stac-item
2024-01-14 12:03:31	ga_s2am_ard_3-2-1_50KMB_2024-01-14_final.stac-item
2024-02-03 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2024-02-03_final.stac-item
2024-02-10 11:55:53	ga_s2am_ard_3-2-1_50JLN_2024-02-10_final.stac-item
2024-02-23 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-02-23_final.stac-item
2024-03-04 12:05:52	ga_s2am_ard_3-2-1_50JLN_2024-03-04_final.stac-item
2024-04-14 11:36:36	ga_s2am_ard_3-2-1_50HQK_2024-04-14_final.stac-item
2024-05-26 12:13:58	ga_s2am_ard_3-2-1_49KGR_2024-05-26_nrt.stac-item
2024-05-27 11:46:31	ga_s2am_ard_3-2-1_50HQK_2024-05-27_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

All years