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
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-09_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-06-18_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-10-05_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHR_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKP_2016-12-11_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-02-12_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPH_2017-03-25_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKN_2017-03-31_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGM_2017-05-20_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JFM_2017-06-02_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGL_2017-09-20_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KGP_2017-11-06_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_50KKA_2017-12-29_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JKN_2018-02-01_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNL_2018-03-30_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLP_2018-05-02_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPH_2018-06-15_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JMN_2018-06-21_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPK_2018-07-28_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKN_2018-08-13_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPK_2018-10-13_final
2018-12-08 11:56:32	ga_s2am_ard_3-2-1_50HLK_2018-12-08_final
2018-12-14 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-14_final
2018-12-15 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-15_final
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final
2019-03-18 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-03-18_final
2019-05-03 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-05-03_final
2019-06-13 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-06-13_final
2019-06-22 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-06-22_final
2019-06-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-06-30_final
2019-07-03 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-03_final
2019-07-06 11:56:16	ga_s2am_ard_3-2-1_50JLM_2019-07-06_final
2019-07-22 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-22_final
2019-08-18 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-08-18_final
2019-09-11 11:46:24	ga_s2am_ard_3-2-1_50JML_2019-09-11_final
2019-10-18 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-10-18_final
2020-02-08 11:45:31	ga_s2am_ard_3-2-1_50JNP_2020-02-08_final
2020-02-18 11:44:57	ga_s2am_ard_3-2-1_50JQR_2020-02-18_final
2020-04-27 12:13:56	ga_s2am_ard_3-2-1_50KKA_2020-04-27_final
2020-06-30 11:56:09	ga_s2am_ard_3-2-1_50JNM_2020-06-30_final
2020-08-15 12:14:02	ga_s2am_ard_3-2-1_50KKA_2020-08-15_final
2020-08-22 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-08-22_final
2020-08-23 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-23_final
2020-11-10 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-11-10_final
2021-01-02 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-01-02_final
2021-02-02 11:44:30	ga_s2am_ard_3-2-1_50JRT_2021-02-02_final
2021-03-07 11:55:53	ga_s2am_ard_3-2-1_50JMN_2021-03-07_final
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_50KKA_2021-04-02_final
2021-04-26 11:56:22	ga_s2am_ard_3-2-1_50JLL_2021-04-26_final
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final
2021-06-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-06-02_final
2021-06-15 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-06-15_final
2021-06-25 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-06-25_final
2021-08-01 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-08-01_final
2021-08-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-07_final
2021-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-09-19_final
2021-09-29 12:13:58	ga_s2am_ard_3-2-1_50KKA_2021-09-29_final
2021-09-30 11:46:30	ga_s2am_ard_3-2-1_50JML_2021-09-30_final
2021-11-06 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-11-06_final
2021-11-08 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-11-08_final
2021-11-12 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-11-12_final
2021-12-09 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2021-12-09_final
2021-12-28 12:15:12	ga_s2am_ard_3-2-1_49JGL_2021-12-28_final
2022-01-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-01-04_final
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-02-03_final
2022-02-04 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2022-02-04_final
2022-04-14 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-04-14_final
2022-04-27 12:15:01	ga_s2am_ard_3-2-1_49JGM_2022-04-27_final
2022-05-05 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-05_final
2022-06-23 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-06-23_final
2022-06-23 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-06-23_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-08-06 11:46:30	ga_s2am_ard_3-2-1_50JPL_2022-08-06_final
2022-08-09 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-08-09_final
2022-09-04 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-09-04_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2023-01-29 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-01-29_final.stac-item
2023-02-01 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-01_final.stac-item
2023-02-28 12:03:56	ga_s2am_ard_3-2-1_50KKA_2023-02-28_final.stac-item
2023-02-28 12:05:09	ga_s2am_ard_3-2-1_50JKR_2023-02-28_final.stac-item
2023-05-12 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-05-12_final.stac-item
2023-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-05-13_final.stac-item
2023-05-19 12:04:01	ga_s2am_ard_3-2-1_49KHR_2023-05-19_final.stac-item
2023-05-26 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-05-26_final.stac-item
2023-06-01 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-01_final.stac-item
2023-06-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-08_final.stac-item
2023-07-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-07-19_final.stac-item
2023-09-06 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-09-06_final.stac-item
2023-10-06 12:04:00	ga_s2am_ard_3-2-1_49KHR_2023-10-06_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-10-16_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_50KKA_2024-01-27_final.stac-item
2024-02-04 11:37:13	ga_s2am_ard_3-2-1_50HQG_2024-02-04_final.stac-item
2024-02-13 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2024-02-13_final.stac-item
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_50KKA_2024-02-26_final.stac-item
2024-03-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-07_final.stac-item
2024-03-17 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-17_final.stac-item
2024-04-03 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-04-03_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