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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HVD_2016-05-03_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HYE_2016-05-10_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51JUN_2016-07-15_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNM_2016-10-29_final.stac-item
2016-12-19 11:26:03	ga_s2am_ard_3-2-1_51HVE_2016-12-19_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGL_2017-03-21_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51HUC_2017-05-31_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-06-02_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JPM_2017-09-21_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-11-01_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JKN_2018-01-12_final
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_50KKA_2018-01-15_final.stac-item
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_51HXD_2018-02-09_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51JXN_2018-03-17_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50HLK_2018-04-22_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-28_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTD_2018-07-05_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2018-09-02_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51JXL_2018-10-20_final
2018-11-09 11:24:25	ga_s2am_ard_3-2-1_51JWN_2018-11-09_final
2018-11-09 11:24:59	ga_s2am_ard_3-2-1_51JVL_2018-11-09_final
2018-11-14 12:14:50	ga_s2am_ard_3-2-1_49JGM_2018-11-14_final
2019-01-07 11:53:05	ga_s2am_ard_3-2-1_50KRC_2019-01-07_final
2019-01-11 11:36:53	ga_s2am_ard_3-2-1_51HUC_2019-01-11_final
2019-01-27 11:52:31	ga_s2am_ard_3-2-1_50KQF_2019-01-27_final.stac-item
2019-01-27 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-01-27_final
2019-02-07 11:24:34	ga_s2am_ard_3-2-1_51JYM_2019-02-07_final
2019-04-27 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-04-27_final
2019-05-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-05-07_final
2019-06-22 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-06-22_final
2019-06-27 11:26:48	ga_s2am_ard_3-2-1_51HVD_2019-06-27_final
2019-10-17 12:04:16	ga_s2am_ard_3-2-1_50KKV_2019-10-17_final
2019-12-03 11:53:29	ga_s2am_ard_3-2-1_50KMC_2019-12-03_final
2019-12-06 12:03:21	ga_s2am_ard_3-2-1_50KMC_2019-12-06_final
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_50KKB_2020-01-05_final
2020-01-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2020-01-28_final
2020-03-18 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-18_final
2020-03-25 12:04:24	ga_s2am_ard_3-2-1_50KKU_2020-03-25_final
2020-04-01 11:56:00	ga_s2am_ard_3-2-1_50JNM_2020-04-01_final
2020-04-02 11:25:01	ga_s2am_ard_3-2-1_51JYK_2020-04-02_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-05-11 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-05-11_final
2020-07-07 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-07_final
2020-08-12 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-08-12_final
2020-09-21 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-09-21_final
2020-10-08 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-10-08_final
2020-10-31 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-10-31_final
2020-11-17 11:56:29	ga_s2am_ard_3-2-1_50JLL_2020-11-17_final
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final
2021-02-06 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-06_final
2021-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-02-08_final
2021-03-04 11:44:49	ga_s2am_ard_3-2-1_50JQS_2021-03-04_final
2021-05-16 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-05-16_final
2021-06-02 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-06-02_final
2021-06-16 11:24:32	ga_s2am_ard_3-2-1_51JZM_2021-06-16_final
2021-06-21 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-21_final
2021-08-04 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-08-04_final
2021-09-16 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-09-16_final
2021-11-22 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-11-22_final
2021-12-02 11:53:21	ga_s2am_ard_3-2-1_50KPC_2021-12-02_final
2021-12-12 11:53:20	ga_s2am_ard_3-2-1_50KPC_2021-12-12_final
2021-12-30 11:16:45	ga_s2am_ard_3-2-1_51HWD_2021-12-30_final
2022-03-23 11:24:26	ga_s2am_ard_3-2-1_51JYN_2022-03-23_final
2022-04-07 12:13:55	ga_s2am_ard_3-2-1_50KKA_2022-04-07_final
2022-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2022-05-18_final
2022-06-04 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-06-04_final
2022-06-21 11:27:06	ga_s2am_ard_3-2-1_51HWC_2022-06-21_final.stac-item
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_50KKU_2022-07-13_final
2022-07-20 11:52:46	ga_s2am_ard_3-2-1_50KQF_2022-07-20_final.stac-item
2022-07-20 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-07-20_final
2022-07-21 11:25:02	ga_s2am_ard_3-2-1_51JYL_2022-07-21_final
2022-08-02 12:04:50	ga_s2am_ard_3-2-1_50JLT_2022-08-02_final
2022-08-03 11:36:42	ga_s2am_ard_3-2-1_51HTE_2022-08-03_final
2022-08-26 11:46:46	ga_s2am_ard_3-2-1_50HPK_2022-08-26_final
2022-09-09 11:26:58	ga_s2am_ard_3-2-1_51HUD_2022-09-09_final.stac-item
2022-09-15 11:46:10	ga_s2am_ard_3-2-1_50JQM_2022-09-15_final.stac-item
2022-09-29 11:26:42	ga_s2am_ard_3-2-1_51HXD_2022-09-29_final.stac-item
2022-10-31 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-10-31_final.stac-item
2022-11-01 11:34:36	ga_s2am_ard_3-2-1_51JUN_2022-11-01_final.stac-item
2022-12-27 11:52:32	ga_s2am_ard_3-2-1_50KQF_2022-12-27_final.stac-item
2023-01-16 11:53:07	ga_s2am_ard_3-2-1_50KRC_2023-01-16_final.stac-item
2023-01-30 11:34:38	ga_s2am_ard_3-2-1_51JWM_2023-01-30_final.stac-item
2023-02-18 12:04:54	ga_s2am_ard_3-2-1_50JKS_2023-02-18_final.stac-item
2023-05-10 11:36:42	ga_s2am_ard_3-2-1_51HUD_2023-05-10_final.stac-item
2023-05-13 11:45:54	ga_s2am_ard_3-2-1_50JNN_2023-05-13_final.stac-item
2023-06-23 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-06-23_final.stac-item
2023-07-26 11:26:19	ga_s2am_ard_3-2-1_51JVF_2023-07-26_final.stac-item
2023-09-03 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-09-03_final.stac-item
2023-09-26 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-09-26_final.stac-item
2023-09-29 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-09-29_final.stac-item
2023-11-12 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-11-12_final.stac-item
2023-12-12 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2023-12-12_final.stac-item
2023-12-19 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-12-19_final.stac-item
2024-01-12 11:25:33	ga_s2am_ard_3-2-1_51JXH_2024-01-12_final.stac-item
2024-01-14 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2024-01-14_final.stac-item
2024-01-15 11:34:30	ga_s2am_ard_3-2-1_50JRT_2024-01-15_final.stac-item
2024-01-22 11:24:19	ga_s2am_ard_3-2-1_51JXN_2024-01-22_final.stac-item
2024-04-11 11:24:33	ga_s2am_ard_3-2-1_51JZM_2024-04-11_final.stac-item
2024-04-14 11:36:45	ga_s2am_ard_3-2-1_51HUD_2024-04-14_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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