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
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HMH_2016-02-19_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLP_2016-06-04_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLM_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNN_2016-07-21_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNK_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51HTE_2016-08-04_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50HNK_2016-08-30_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HMH_2016-09-06_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQH_2016-12-12_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXG_2017-01-18_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KQB_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKP_2017-01-30_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HWD_2017-02-17_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KUS_2017-04-14_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HUC_2017-05-11_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51HVC_2017-07-17_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JGL_2017-10-10_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KMU_2017-12-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPL_2017-12-10_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JQN_2017-12-10_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JZN_2017-12-31_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HWD_2018-02-22_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUT_2018-02-28_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYH_2018-03-01_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51JYG_2018-03-31_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPJ_2018-04-19_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JKM_2018-05-02_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKM_2018-06-04_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51HUE_2018-07-02_final
2018-11-06 11:16:32	ga_s2am_ard_3-2-1_51HYD_2018-11-06_final
2019-01-24 11:43:18	ga_s2am_ard_3-2-1_50KQC_2019-01-24_final
2019-02-22 12:15:16	ga_s2am_ard_3-2-1_49JGK_2019-02-22_final
2019-03-16 11:14:52	ga_s2am_ard_3-2-1_51JYL_2019-03-16_final
2019-03-29 11:26:47	ga_s2am_ard_3-2-1_51HUD_2019-03-29_final
2019-04-11 11:33:03	ga_s2am_ard_3-2-1_51KVU_2019-04-11_final
2019-05-01 11:36:06	ga_s2am_ard_3-2-1_51JTG_2019-05-01_final
2019-05-27 11:54:58	ga_s2am_ard_3-2-1_50JMS_2019-05-27_final
2019-06-26 11:55:51	ga_s2am_ard_3-2-1_50JKP_2019-06-26_final
2019-06-26 11:55:57	ga_s2am_ard_3-2-1_50JMN_2019-06-26_final
2019-08-06 11:26:26	ga_s2am_ard_3-2-1_51HXE_2019-08-06_final
2020-01-03 11:26:02	ga_s2am_ard_3-2-1_51JXF_2020-01-03_final
2020-02-18 11:44:39	ga_s2am_ard_3-2-1_51JTM_2020-02-18_final
2020-07-28 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-07-28_final
2020-08-09 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-08-09_final
2020-08-10 11:25:01	ga_s2am_ard_3-2-1_51JXL_2020-08-10_final
2020-08-23 11:35:43	ga_s2am_ard_3-2-1_50JQP_2020-08-23_final
2020-12-11 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-12-11_final
2021-02-05 11:54:47	ga_s2am_ard_3-2-1_50JPS_2021-02-05_final
2021-02-06 11:25:33	ga_s2am_ard_3-2-1_51JYH_2021-02-06_final
2021-02-06 11:26:10	ga_s2am_ard_3-2-1_51JWF_2021-02-06_final
2021-02-06 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-02-06_final
2021-03-01 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-03-01_final
2021-04-27 11:26:33	ga_s2am_ard_3-2-1_51HXD_2021-04-27_final
2021-05-16 11:55:26	ga_s2am_ard_3-2-1_50JPP_2021-05-16_final
2021-06-02 11:43:33	ga_s2am_ard_3-2-1_51KTS_2021-06-02_final
2021-06-22 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-06-22_final
2021-06-23 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-23_final
2021-06-23 11:16:42	ga_s2am_ard_3-2-1_51HXD_2021-06-23_final
2021-06-28 12:03:54	ga_s2am_ard_3-2-1_50KMA_2021-06-28_final
2021-06-29 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2021-06-29_final
2021-07-02 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2021-07-02_final
2021-07-13 11:16:33	ga_s2am_ard_3-2-1_51HWE_2021-07-13_final
2021-07-22 11:46:08	ga_s2am_ard_3-2-1_50JPM_2021-07-22_final
2021-07-22 11:46:16	ga_s2am_ard_3-2-1_50JMM_2021-07-22_final
2021-07-22 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-22_final
2021-08-08 11:34:39	ga_s2am_ard_3-2-1_50JRT_2021-08-08_final
2021-10-06 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2021-10-06_final
2021-10-20 11:46:43	ga_s2am_ard_3-2-1_50HNK_2021-10-20_final
2021-11-02 11:56:18	ga_s2am_ard_3-2-1_50JKM_2021-11-02_final
2022-03-03 11:24:30	ga_s2am_ard_3-2-1_51JXN_2022-03-03_final
2022-03-03 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2022-03-03_final
2022-03-29 11:45:06	ga_s2am_ard_3-2-1_50JQR_2022-03-29_final
2022-03-29 11:46:56	ga_s2am_ard_3-2-1_50HQH_2022-03-29_final
2022-04-05 11:36:15	ga_s2am_ard_3-2-1_51JUF_2022-04-05_final
2022-06-01 11:25:17	ga_s2am_ard_3-2-1_51JXK_2022-06-01_final
2022-06-10 11:53:30	ga_s2am_ard_3-2-1_50KPC_2022-06-10_final
2022-07-07 11:47:19	ga_s2am_ard_3-2-1_50HNH_2022-07-07_final
2022-07-21 11:26:33	ga_s2am_ard_3-2-1_51HXE_2022-07-21_final
2022-07-28 11:16:50	ga_s2am_ard_3-2-1_51HXD_2022-07-28_final
2022-09-05 11:46:12	ga_s2am_ard_3-2-1_50JQM_2022-09-05_final.stac-item
2022-09-21 12:05:04	ga_s2am_ard_3-2-1_49JHM_2022-09-21_final.stac-item
2022-10-05 11:46:44	ga_s2am_ard_3-2-1_50HNK_2022-10-05_final.stac-item
2023-01-14 11:14:35	ga_s2am_ard_3-2-1_51JZM_2023-01-14_final.stac-item
2023-02-06 11:26:57	ga_s2am_ard_3-2-1_51HVC_2023-02-06_final.stac-item
2023-03-30 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-03-30_final.stac-item
2023-03-30 12:05:49	ga_s2am_ard_3-2-1_50JLN_2023-03-30_final.stac-item
2023-05-06 11:53:17	ga_s2am_ard_3-2-1_50KQC_2023-05-06_final.stac-item
2023-05-13 11:46:26	ga_s2am_ard_3-2-1_50JML_2023-05-13_final.stac-item
2023-05-23 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-05-23_final.stac-item
2023-06-18 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-06-18_final.stac-item
2023-06-29 11:36:42	ga_s2am_ard_3-2-1_50HPK_2023-06-29_final.stac-item
2023-12-10 11:16:32	ga_s2am_ard_3-2-1_51HYD_2023-12-10_final.stac-item
2023-12-23 11:25:35	ga_s2am_ard_3-2-1_51JXH_2023-12-23_final.stac-item
2024-01-22 11:24:25	ga_s2am_ard_3-2-1_51JZM_2024-01-22_final.stac-item
2024-01-25 11:35:13	ga_s2am_ard_3-2-1_51JTK_2024-01-25_final.stac-item
2024-03-29 11:14:41	ga_s2am_ard_3-2-1_51JYM_2024-03-29_final.stac-item
2024-04-08 11:16:22	ga_s2am_ard_3-2-1_51HYE_2024-04-08_final.stac-item
2024-04-24 11:35:44	ga_s2am_ard_3-2-1_51JVH_2024-04-24_final.stac-item
2024-05-08 11:16:39	ga_s2am_ard_3-2-1_51HYD_2024-05-08_final.stac-item
2024-05-10 11:54:15	ga_s2am_ard_3-2-1_50KQU_2024-05-10_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