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_50HMJ_2015-12-04_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-03-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPL_2016-03-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNL_2016-04-29_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKP_2016-05-15_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPJ_2016-09-26_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPK_2017-05-11_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKT_2017-05-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-06_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMG_2017-12-30_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-03-06_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JPL_2018-04-09_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQH_2018-04-26_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLM_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50JQM_2018-05-26_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLN_2018-07-21_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMG_2018-09-06_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-02_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLN_2018-10-19_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPK_2018-11-05_final
2019-03-01 12:05:50	ga_s2am_ard_3-2-1_50JKN_2019-03-01_final
2019-03-18 11:55:53	ga_s2am_ard_3-2-1_50JLN_2019-03-18_final
2019-06-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-06-06_final
2019-06-09 12:04:07	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final
2019-06-13 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-06-13_final
2019-08-15 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-08-15_final
2019-08-31 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-08-31_final
2019-09-01 11:46:34	ga_s2am_ard_3-2-1_50HPK_2019-09-01_final
2019-09-01 11:47:03	ga_s2am_ard_3-2-1_50HPH_2019-09-01_final
2019-12-03 11:55:51	ga_s2am_ard_3-2-1_50JMN_2019-12-03_final
2019-12-30 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-12-30_final
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-01-09 11:45:41	ga_s2am_ard_3-2-1_50JQN_2020-01-09_final
2020-01-22 11:56:07	ga_s2am_ard_3-2-1_50JKM_2020-01-22_final
2020-01-25 12:05:49	ga_s2am_ard_3-2-1_50JKN_2020-01-25_final
2020-04-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2020-04-18_final
2020-06-23 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-06-23_final
2020-06-30 11:56:23	ga_s2am_ard_3-2-1_50JNL_2020-06-30_final
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-08-12 12:04:05	ga_s2am_ard_3-2-1_50KKA_2020-08-12_final
2020-08-29 11:56:23	ga_s2am_ard_3-2-1_50JNL_2020-08-29_final
2020-10-08 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-10-08_final
2020-10-14 12:14:00	ga_s2am_ard_3-2-1_49KHR_2020-10-14_final
2020-10-28 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-10-28_final
2020-11-04 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-11-04_final
2021-01-03 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-01-03_final
2021-02-08 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-08_final
2021-02-11 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-02-11_final
2021-04-06 11:55:38	ga_s2am_ard_3-2-1_50JLP_2021-04-06_final
2021-04-10 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-19 12:05:50	ga_s2am_ard_3-2-1_50JKN_2021-04-19_final
2021-04-20 11:37:02	ga_s2am_ard_3-2-1_50HPH_2021-04-20_final
2021-05-03 11:45:09	ga_s2am_ard_3-2-1_50JNR_2021-05-03_final
2021-05-03 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-05-03_final
2021-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-05-13_final
2021-05-22 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-05-22_final
2021-06-11 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-06-11_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-06-21_final
2021-06-25 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-06-25_final
2021-07-05 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-07-05_final
2021-07-21 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-21_final
2021-09-03 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-09-03_final.stac-item
2021-10-03 11:55:46	ga_s2am_ard_3-2-1_50JLP_2021-10-03_final
2021-10-16 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-16_final
2021-11-06 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-11-06_final
2021-12-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-12-05_final
2021-12-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-12-18_final
2022-01-07 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-01-07_final
2022-01-27 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-01-27_final
2022-04-05 11:36:28	ga_s2am_ard_3-2-1_50JPL_2022-04-05_final
2022-05-14 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-05-14_final
2022-06-04 11:37:11	ga_s2am_ard_3-2-1_50HQH_2022-06-04_final
2022-06-20 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-06-20_final
2022-06-24 11:37:01	ga_s2am_ard_3-2-1_50HQJ_2022-06-24_final
2022-07-27 11:47:12	ga_s2am_ard_3-2-1_50HPH_2022-07-27_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-08-02_final
2022-08-09 11:56:37	ga_s2am_ard_3-2-1_50JLL_2022-08-09_final
2022-08-22 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-08-22_final.stac-item
2022-08-26 11:46:35	ga_s2am_ard_3-2-1_50JNL_2022-08-26_final.stac-item
2022-10-05 11:46:41	ga_s2am_ard_3-2-1_50HPK_2022-10-05_final.stac-item
2022-10-12 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2022-10-12_final.stac-item
2022-11-17 11:55:55	ga_s2am_ard_3-2-1_50JMN_2022-11-17_final.stac-item
2022-11-23 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-11-23_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final.stac-item
2023-01-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-01-26_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 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-02-01_final.stac-item
2023-02-05 11:55:49	ga_s2am_ard_3-2-1_50JLN_2023-02-05_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-07-05 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-07-05_final.stac-item
2023-08-21 11:46:43	ga_s2am_ard_3-2-1_50HNK_2023-08-21_final.stac-item
2023-09-03 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-09-03_final.stac-item
2023-10-16 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-10-16_final.stac-item
2024-03-14 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-14_final.stac-item
2024-03-24 12:04:00	ga_s2am_ard_3-2-1_49KHR_2024-03-24_final.stac-item
2024-04-03 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-04-03_final.stac-item
2024-04-30 11:57:23	ga_s2am_ard_3-2-1_50HMG_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