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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNM_2016-03-03_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-29_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KKU_2016-06-24_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JRS_2016-07-08_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2016-09-12_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50KMB_2016-09-12_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HPK_2016-10-23_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KLC_2016-11-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGP_2016-11-04_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JLN_2016-12-08_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JHM_2017-01-30_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KLC_2017-02-19_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HPJ_2017-03-05_final
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HMG_2017-04-27_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KLU_2017-06-19_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNG_2017-07-03_final.stac-item
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JLL_2017-07-06_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JLM_2017-08-15_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKR_2017-10-07_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50JPL_2017-10-11_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JMN_2017-11-13_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50JQL_2018-02-15_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JLL_2018-02-21_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLK_2018-03-13_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JQQ_2018-03-30_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KKV_2018-04-25_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JLN_2018-05-12_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-07_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JNL_2018-07-28_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKP_2018-08-13_final
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final
2018-12-11 12:03:11	ga_s2am_ard_3-2-1_50KNC_2018-12-11_final
2018-12-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-12-25_final.stac-item
2019-01-10 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-01-10_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-01-30 12:03:56	ga_s2am_ard_3-2-1_50KKA_2019-01-30_final
2019-04-20 12:03:29	ga_s2am_ard_3-2-1_50KLC_2019-04-20_final
2019-06-06 11:53:26	ga_s2am_ard_3-2-1_50KNC_2019-06-06_final
2019-06-23 11:47:25	ga_s2am_ard_3-2-1_50HNG_2019-06-23_final.stac-item
2019-08-28 12:03:42	ga_s2am_ard_3-2-1_50KLB_2019-08-28_final
2019-08-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-08-28_final
2019-08-29 11:37:04	ga_s2am_ard_3-2-1_50HQH_2019-08-29_final
2019-09-14 11:56:17	ga_s2am_ard_3-2-1_50JNL_2019-09-14_final
2019-10-28 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-10-28_final
2019-11-06 12:04:27	ga_s2am_ard_3-2-1_50KLU_2019-11-06_final
2019-11-09 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-11-09_final
2019-11-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-11-16_final
2019-12-07 11:36:02	ga_s2am_ard_3-2-1_50JQM_2019-12-07_final
2019-12-23 11:56:20	ga_s2am_ard_3-2-1_50JLL_2019-12-23_final
2020-01-12 11:56:20	ga_s2am_ard_3-2-1_50JLL_2020-01-12_final
2020-01-25 12:03:16	ga_s2am_ard_3-2-1_50KMC_2020-01-25_final
2020-05-21 11:54:57	ga_s2am_ard_3-2-1_50JNS_2020-05-21_final
2020-06-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-24_final.stac-item
2020-08-05 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-08-05_final
2020-08-16 11:44:55	ga_s2am_ard_3-2-1_50JQS_2020-08-16_final
2020-09-15 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2020-09-15_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-10-31 12:03:28	ga_s2am_ard_3-2-1_50KMC_2020-10-31_final
2020-12-07 11:56:28	ga_s2am_ard_3-2-1_50HNK_2020-12-07_final
2021-01-13 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-01-13_final
2021-01-16 11:54:12	ga_s2am_ard_3-2-1_50KMV_2021-01-16_final
2021-01-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-01-29_final
2021-02-01 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-02-01_final
2021-02-21 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-02-21_final
2021-02-22 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-02-22_final
2021-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-03-21_final.stac-item
2021-04-06 11:56:22	ga_s2am_ard_3-2-1_50JLL_2021-04-06_final
2021-05-20 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-05-20_final
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final.stac-item
2021-08-28 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-08-28_final.stac-item
2021-09-13 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-09-13_final
2021-12-09 11:46:31	ga_s2am_ard_3-2-1_50HNK_2021-12-09_final
2021-12-15 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-12-15_final
2021-12-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-12-18_final
2021-12-25 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-12-25_final
2022-01-21 11:56:25	ga_s2am_ard_3-2-1_50JLL_2022-01-21_final
2022-02-27 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-02-27_final
2022-03-09 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-03-09_final
2022-05-11 11:56:11	ga_s2am_ard_3-2-1_50JMM_2022-05-11_final
2022-06-03 12:05:45	ga_s2am_ard_3-2-1_50JLP_2022-06-03_final
2022-08-19 11:56:06	ga_s2am_ard_3-2-1_50JMN_2022-08-19_final.stac-item
2022-10-21 12:05:42	ga_s2am_ard_3-2-1_50JKP_2022-10-21_final.stac-item
2022-10-21 12:05:53	ga_s2am_ard_3-2-1_50JLN_2022-10-21_final.stac-item
2022-11-17 11:55:41	ga_s2am_ard_3-2-1_50JMP_2022-11-17_final.stac-item
2022-11-30 12:05:51	ga_s2am_ard_3-2-1_50JLN_2022-11-30_final.stac-item
2023-01-23 11:46:04	ga_s2am_ard_3-2-1_50JNM_2023-01-23_final.stac-item
2023-02-22 11:46:49	ga_s2am_ard_3-2-1_50HNJ_2023-02-22_final.stac-item
2023-06-02 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-02_final.stac-item
2023-06-11 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-06-11_final.stac-item
2023-07-05 11:54:42	ga_s2am_ard_3-2-1_50JNT_2023-07-05_final.stac-item
2023-08-17 12:04:37	ga_s2am_ard_3-2-1_49KGP_2023-08-17_final.stac-item
2023-09-03 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-09-03_final.stac-item
2023-09-07 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-09-07_final.stac-item
2023-10-06 12:04:29	ga_s2am_ard_3-2-1_50KKU_2023-10-06_final.stac-item
2023-12-12 11:53:26	ga_s2am_ard_3-2-1_50KMC_2023-12-12_final.stac-item
2024-01-01 11:56:01	ga_s2am_ard_3-2-1_50JNM_2024-01-01_final.stac-item
2024-03-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-18_final.stac-item
2024-04-16 12:15:02	ga_s2am_ard_3-2-1_49JFM_2024-04-16_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