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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLL_2015-12-04_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGM_2015-12-30_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKP_2016-02-02_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KGQ_2016-03-16_final.stac-item
2016-04-29 11:47:17	ga_s2am_ard_3-2-1_50HPG_2016-04-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPH_2016-07-08_final.stac-item
2017-03-14 12:13:13	ga_s2am_ard_3-2-1_49KHR_2017-03-14_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLH_2017-04-07_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQH_2017-08-19_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMG_2017-12-30_final.stac-item
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JFM_2018-01-18_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQH_2018-05-26_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNG_2018-06-18_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-10-02_final
2018-11-11 12:04:37	ga_s2am_ard_3-2-1_50JKT_2018-11-11_final
2018-12-18 11:56:42	ga_s2am_ard_3-2-1_50HMJ_2018-12-18_final
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2019-02-13 11:47:08	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-03-18 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2019-03-18_final
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final
2019-04-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-04-23_final.stac-item
2019-05-30 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-05-30_final
2019-06-02 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-02_final
2019-06-09 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-06-09_final
2019-07-23 11:46:42	ga_s2am_ard_3-2-1_50HNK_2019-07-23_final
2019-08-12 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-08-12_final
2019-10-14 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-14_final
2019-10-31 11:46:37	ga_s2am_ard_3-2-1_50HPK_2019-10-31_final
2019-12-16 12:05:35	ga_s2am_ard_3-2-1_50JKP_2019-12-16_final
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-02-17 12:14:06	ga_s2am_ard_3-2-1_49KGQ_2020-02-17_final
2020-02-24 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-02-24_final.stac-item
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-05-17 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-05-17_final
2020-06-14 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-06-14_final
2020-06-16 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-16_final
2020-06-23 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final.stac-item
2020-06-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-06-23_final
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-10-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-10-28_final
2020-10-28 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-10-28_final
2020-11-27 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-11-27_final
2020-12-03 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-03_final
2021-01-09 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-09_final
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final
2021-02-02 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-02-02_final
2021-02-18 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-02-18_final
2021-04-09 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2021-04-09_final
2021-05-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-05-22_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
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final
2021-06-28 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-06-28_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-09-03 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-09-03_final
2021-09-10 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-09-10_final
2021-10-03 11:56:30	ga_s2am_ard_3-2-1_50JLL_2021-10-03_final
2021-10-23 11:56:05	ga_s2am_ard_3-2-1_50JKN_2021-10-23_final
2021-11-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-18_final
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_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
2022-01-11 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-01-11_final
2022-01-31 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-31_final
2022-02-10 11:55:58	ga_s2am_ard_3-2-1_50JKN_2022-02-10_final
2022-03-15 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-03-15_final
2022-03-16 11:36:42	ga_s2am_ard_3-2-1_50HPK_2022-03-16_final
2022-04-27 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-04-27_final
2022-05-01 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-05-01_final.stac-item
2022-10-01 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-10-01_final.stac-item
2022-10-24 12:14:58	ga_s2am_ard_3-2-1_49JGM_2022-10-24_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-12-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-12-17_final.stac-item
2023-02-12 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-12_final.stac-item
2023-04-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-06_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-09_final.stac-item
2023-04-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-04-13_final.stac-item
2023-04-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-29_final.stac-item
2023-07-28 12:05:46	ga_s2am_ard_3-2-1_50JKP_2023-07-28_final.stac-item
2023-09-03 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-09-03_final.stac-item
2023-09-03 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-09-03_final.stac-item
2023-09-29 12:14:58	ga_s2am_ard_3-2-1_49JGM_2023-09-29_final.stac-item
2023-10-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2023-10-06_final.stac-item
2023-10-13 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-10-13_final.stac-item
2023-10-20 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-10-20_final.stac-item
2023-10-23 11:56:30	ga_s2am_ard_3-2-1_50HNK_2023-10-23_final.stac-item
2023-11-29 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-29_final.stac-item
2023-12-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2023-12-18_final.stac-item
2023-12-22 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-12-22_final.stac-item
2024-02-13 12:03:56	ga_s2am_ard_3-2-1_49KHR_2024-02-13_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-03-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2024-03-14_final.stac-item
2024-04-13 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-04-13_final.stac-item
2024-04-14 11:36:40	ga_s2am_ard_3-2-1_50HPK_2024-04-14_final.stac-item
2024-04-26 12:14:58	ga_s2am_ard_3-2-1_49JGM_2024-04-26_final.stac-item
2024-04-30 11:56:54	ga_s2am_ard_3-2-1_50HMJ_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