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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HPH_2015-10-22_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2016-01-26_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQJ_2016-04-06_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HNK_2016-09-19_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKP_2016-11-11_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_50JQL_2017-05-01_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JFM_2017-06-02_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-06-22_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JKM_2017-08-25_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKP_2017-09-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQG_2017-11-07_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-12-19_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-02-07_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JNL_2018-03-30_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-18_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKP_2018-05-15_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPK_2018-05-29_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNH_2018-06-18_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_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_50HNH_2018-07-28_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JPL_2018-08-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HPH_2018-08-07_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JPL_2018-08-24_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JNQ_2018-08-30_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-09-06_final
2019-01-04 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final
2019-02-13 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-02-13_final.stac-item
2019-03-01 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-28 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-03-28_final
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final
2019-06-19 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-06-19_final
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final
2019-10-01 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2019-10-01_final
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final
2019-11-17 11:37:26	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-11-20 11:47:25	ga_s2am_ard_3-2-1_50HMG_2019-11-20_final.stac-item
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-02-01 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-01_final
2020-02-18 11:46:07	ga_s2am_ard_3-2-1_50JMM_2020-02-18_final
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final
2020-04-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2020-04-25_final
2020-06-13 12:04:49	ga_s2am_ard_3-2-1_50JKT_2020-06-13_final
2020-06-17 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-06-17_final.stac-item
2020-07-16 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-07-16_final
2020-08-19 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-08-19_final
2020-08-23 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-08-23_final
2020-09-22 11:37:26	ga_s2am_ard_3-2-1_50HPG_2020-09-22_final.stac-item
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-11-30_final
2020-11-30 12:05:38	ga_s2am_ard_3-2-1_50JLP_2020-11-30_final
2020-12-03 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-03_final
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_50KKA_2021-04-02_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-05-06 11:56:16	ga_s2am_ard_3-2-1_50JNL_2021-05-06_final
2021-05-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-05-23_final
2021-06-01 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-01_final
2021-06-19 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-06-19_final.stac-item
2021-07-05 11:56:06	ga_s2am_ard_3-2-1_50JNM_2021-07-05_final
2021-07-18 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-07-18_final
2021-07-21 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-07-21_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-09-16 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-09-16_final
2021-09-20 11:46:25	ga_s2am_ard_3-2-1_50JNL_2021-09-20_final
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final
2021-12-08 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-12-08_final
2022-01-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-01-04_final
2022-01-11 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-01-11_final
2022-02-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-02-23_final
2022-03-25 12:04:01	ga_s2am_ard_3-2-1_50KKA_2022-03-25_final
2022-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2022-05-18_final
2022-05-31 11:56:15	ga_s2am_ard_3-2-1_50JMM_2022-05-31_final
2022-07-27 11:47:34	ga_s2am_ard_3-2-1_50HMG_2022-07-27_final.stac-item
2022-08-03 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-08-03_final
2022-09-04 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-09-04_final.stac-item
2022-11-17 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-11-17_final.stac-item
2023-04-03 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-04-03_final.stac-item
2023-06-15 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-06-15_final.stac-item
2023-07-05 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-07-05_final.stac-item
2023-07-05 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-07-05_final.stac-item
2023-09-10 11:44:34	ga_s2am_ard_3-2-1_50JRT_2023-09-10_final.stac-item
2023-10-23 11:55:56	ga_s2am_ard_3-2-1_50JLN_2023-10-23_final.stac-item
2023-10-26 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-10-26_final.stac-item
2023-11-18 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-11-18_final.stac-item
2023-11-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-22_final.stac-item
2023-12-15 12:06:06	ga_s2am_ard_3-2-1_50JKM_2023-12-15_final.stac-item
2024-01-11 11:55:59	ga_s2am_ard_3-2-1_50JNM_2024-01-11_final.stac-item
2024-02-04 11:37:13	ga_s2am_ard_3-2-1_50HQG_2024-02-04_final.stac-item
2024-02-23 12:04:29	ga_s2am_ard_3-2-1_49KGP_2024-02-23_final.stac-item
2024-02-26 12:15:09	ga_s2am_ard_3-2-1_49JGL_2024-02-26_final.stac-item
2024-03-14 12:05:15	ga_s2am_ard_3-2-1_49JGL_2024-03-14_final.stac-item
2024-04-06 12:14:25	ga_s2am_ard_3-2-1_49KGP_2024-04-06_final.stac-item
2024-04-20 11:56:33	ga_s2am_ard_3-2-1_50HNK_2024-04-20_final.stac-item
2024-04-27 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2024-04-27_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