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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JNM_2016-04-19_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-08_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGJ_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHS_2016-05-18_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JFM_2016-05-28_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-06-07_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMK_2016-08-10_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKN_2016-09-19_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HQJ_2016-10-26_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50KQG_2017-01-07_final.stac-item
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-03-04_final
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_50KKA_2017-03-04_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KQG_2017-06-06_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_50KKA_2017-07-12_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_51JVH_2017-07-30_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50KRD_2018-03-30_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQJ_2018-04-16_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HVC_2018-09-10_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final
2019-01-01 11:34:23	ga_s2am_ard_3-2-1_51JVN_2019-01-01_final
2019-01-04 11:44:22	ga_s2am_ard_3-2-1_51JUN_2019-01-04_final
2019-04-07 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-04-07_final
2019-04-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-04-14_final
2019-04-25 11:17:02	ga_s2am_ard_3-2-1_51HWC_2019-04-25_final.stac-item
2019-06-06 11:55:58	ga_s2am_ard_3-2-1_50JLN_2019-06-06_final
2019-06-12 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-06-12_final
2019-06-20 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-06-20_final
2019-06-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-06-30_final
2019-07-19 12:06:00	ga_s2am_ard_3-2-1_50JKN_2019-07-19_final
2019-08-25 11:53:23	ga_s2am_ard_3-2-1_50KPC_2019-08-25_final
2019-08-25 11:53:26	ga_s2am_ard_3-2-1_50KNC_2019-08-25_final
2019-10-31 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-10-31_final
2019-11-03 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-11-03_final.stac-item
2019-11-07 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-11-07_final
2019-12-07 11:36:08	ga_s2am_ard_3-2-1_51JVF_2019-12-07_final
2019-12-27 11:34:12	ga_s2am_ard_3-2-1_51KUP_2019-12-27_final
2019-12-27 11:37:21	ga_s2am_ard_3-2-1_50HNG_2019-12-27_final.stac-item
2020-02-14 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-02-14_final
2020-02-21 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-02-21_final
2020-03-13 11:26:03	ga_s2am_ard_3-2-1_51JXF_2020-03-13_final
2020-04-05 11:34:12	ga_s2am_ard_3-2-1_51JXN_2020-04-05_final
2020-04-18 11:46:01	ga_s2am_ard_3-2-1_50JNM_2020-04-18_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-05-27 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-05-27_final
2020-06-04 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-04_final.stac-item
2020-07-03 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-03_final
2020-07-07 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-07_final
2020-07-17 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-07-17_final
2020-08-22 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-08-22_final
2020-09-28 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-09-28_final
2020-11-15 11:17:02	ga_s2am_ard_3-2-1_51HWC_2020-11-15_final.stac-item
2021-01-10 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-01-10_final
2021-01-23 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-01-23_final
2021-02-16 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-02-16_final
2021-02-16 11:24:50	ga_s2am_ard_3-2-1_51JYL_2021-02-16_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-03-20_final
2021-04-09 12:03:36	ga_s2am_ard_3-2-1_50KLB_2021-04-09_final
2021-04-13 11:46:28	ga_s2am_ard_3-2-1_50HPK_2021-04-13_final
2021-05-06 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-05-06_final
2021-05-06 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-05-06_final
2021-06-18 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-06-18_final
2021-06-28 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-06-28_final
2021-07-05 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-07-05_final
2021-08-14 11:53:13	ga_s2am_ard_3-2-1_50KRC_2021-08-14_final
2021-08-18 11:35:10	ga_s2am_ard_3-2-1_51JWK_2021-08-18_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2022-01-15 11:34:33	ga_s2am_ard_3-2-1_51JUN_2022-01-15_final
2022-03-16 11:37:01	ga_s2am_ard_3-2-1_51HUC_2022-03-16_final
2022-03-28 12:13:57	ga_s2am_ard_3-2-1_50KKA_2022-03-28_final
2022-04-28 11:46:39	ga_s2am_ard_3-2-1_50HPK_2022-04-28_final
2022-06-07 11:46:51	ga_s2am_ard_3-2-1_50HQJ_2022-06-07_final
2022-07-01 11:26:59	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-07-17 11:46:31	ga_s2am_ard_3-2-1_50JPL_2022-07-17_final
2022-09-15 11:46:14	ga_s2am_ard_3-2-1_50JPM_2022-09-15_final.stac-item
2022-09-21 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-09-21_final.stac-item
2022-10-18 11:56:02	ga_s2am_ard_3-2-1_50JKN_2022-10-18_final.stac-item
2022-10-24 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-10-24_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-02-01 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-01_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-02-15 11:52:31	ga_s2am_ard_3-2-1_50KQF_2023-02-15_final.stac-item
2023-02-23 11:16:05	ga_s2am_ard_3-2-1_51JYF_2023-02-23_final.stac-item
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final.stac-item
2023-03-10 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-03-10_final.stac-item
2023-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-05-13_final.stac-item
2023-06-02 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-06-02_final.stac-item
2023-06-18 12:05:56	ga_s2am_ard_3-2-1_50JLN_2023-06-18_final.stac-item
2023-08-01 11:43:09	ga_s2am_ard_3-2-1_51KTU_2023-08-01_final.stac-item
2023-09-07 11:36:19	ga_s2am_ard_3-2-1_51JUF_2023-09-07_final.stac-item
2023-10-19 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-10-19_final.stac-item
2023-12-26 11:34:14	ga_s2am_ard_3-2-1_51KUP_2023-12-26_final.stac-item
2024-01-08 11:43:09	ga_s2am_ard_3-2-1_50KRC_2024-01-08_final.stac-item
2024-03-04 12:03:59	ga_s2am_ard_3-2-1_49KHR_2024-03-04_final.stac-item
2024-03-21 11:52:21	ga_s2am_ard_3-2-1_50KQG_2024-03-21_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

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