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
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQJ_2016-06-05_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMK_2016-07-08_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMU_2016-07-21_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51HWD_2016-10-30_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50JPL_2016-11-15_final.stac-item
2016-12-19 11:26:03	ga_s2am_ard_3-2-1_51HVE_2016-12-19_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLN_2017-01-07_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KGP_2017-03-14_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGN_2017-08-21_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMP_2017-09-14_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HUE_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQK_2017-12-17_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPH_2018-02-08_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50JRS_2018-02-18_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HNK_2018-02-28_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HTD_2018-04-16_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNH_2018-05-29_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-06-25_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-07-04_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-11-21 12:03:37	ga_s2am_ard_3-2-1_50KKB_2018-11-21_final
2018-12-09 11:25:19	ga_s2am_ard_3-2-1_51JWJ_2018-12-09_final
2019-01-17 11:55:49	ga_s2am_ard_3-2-1_50JMN_2019-01-17_final
2019-03-31 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-03-31_final
2019-04-04 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-04-04_final
2019-04-05 11:16:23	ga_s2am_ard_3-2-1_51HYE_2019-04-05_final
2019-09-21 11:46:19	ga_s2am_ard_3-2-1_50JPL_2019-09-21_final
2019-11-26 12:04:46	ga_s2am_ard_3-2-1_49JGN_2019-11-26_final
2019-12-29 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-12-29_final
2020-01-15 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-01-15_final
2020-02-08 11:47:09	ga_s2am_ard_3-2-1_50HPG_2020-02-08_final.stac-item
2020-02-27 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2020-02-27_final
2020-03-09 11:47:17	ga_s2am_ard_3-2-1_50HNG_2020-03-09_final.stac-item
2020-03-29 11:46:11	ga_s2am_ard_3-2-1_50JQL_2020-03-29_final
2020-04-01 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-04-01_final
2020-04-24 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2020-04-24_final
2020-04-24 12:05:42	ga_s2am_ard_3-2-1_50JKP_2020-04-24_final
2020-05-02 11:26:39	ga_s2am_ard_3-2-1_51HXD_2020-05-02_final
2020-05-17 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-05-17_final
2020-07-14 11:34:50	ga_s2am_ard_3-2-1_51JWM_2020-07-14_final
2020-09-01 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-01_final
2020-09-12 11:36:38	ga_s2am_ard_3-2-1_50HQK_2020-09-12_final
2020-09-18 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-09-18_final
2020-10-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-10-01_final
2020-10-09 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-10-09_final
2020-10-15 11:43:10	ga_s2am_ard_3-2-1_50KRD_2020-10-15_final
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final
2020-11-17 11:56:29	ga_s2am_ard_3-2-1_50JLL_2020-11-17_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-01-23 11:46:16	ga_s2am_ard_3-2-1_50JQL_2021-01-23_final
2021-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-02-09_final
2021-02-11 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-11_final
2021-02-12 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-02-12_final
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-02-28_final
2021-05-03 11:44:29	ga_s2am_ard_3-2-1_50JRT_2021-05-03_final
2021-06-05 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-06-05_final
2021-06-22 11:45:33	ga_s2am_ard_3-2-1_50JQP_2021-06-22_final
2021-06-22 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-06-22_final
2021-08-04 11:56:21	ga_s2am_ard_3-2-1_50JNL_2021-08-04_final
2021-09-14 11:26:37	ga_s2am_ard_3-2-1_51HXD_2021-09-14_final
2021-09-17 11:36:33	ga_s2am_ard_3-2-1_51HTE_2021-09-17_final
2021-11-12 11:56:06	ga_s2am_ard_3-2-1_50JNM_2021-11-12_final
2021-12-09 11:43:20	ga_s2am_ard_3-2-1_50KQC_2021-12-09_final
2022-01-09 11:17:00	ga_s2am_ard_3-2-1_51HWC_2022-01-09_final.stac-item
2022-01-21 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-01-21_final.stac-item
2022-01-28 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-01-28_final.stac-item
2022-02-01 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2022-02-01_final
2022-02-10 11:55:55	ga_s2am_ard_3-2-1_50JLN_2022-02-10_final
2022-02-14 11:36:38	ga_s2am_ard_3-2-1_50HPK_2022-02-14_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-05-01 11:52:25	ga_s2am_ard_3-2-1_50KQG_2022-05-01_final.stac-item
2022-06-17 11:46:59	ga_s2am_ard_3-2-1_50HPJ_2022-06-17_final
2022-07-10 11:55:04	ga_s2am_ard_3-2-1_50JNS_2022-07-10_final
2022-07-27 11:46:53	ga_s2am_ard_3-2-1_50HQJ_2022-07-27_final
2022-07-31 11:24:54	ga_s2am_ard_3-2-1_51JWM_2022-07-31_final
2022-09-09 11:26:11	ga_s2am_ard_3-2-1_51JVG_2022-09-09_final.stac-item
2022-09-29 11:26:48	ga_s2am_ard_3-2-1_51HUD_2022-09-29_final.stac-item
2022-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-11-07_final.stac-item
2023-02-09 11:36:33	ga_s2am_ard_3-2-1_50HQK_2023-02-09_final.stac-item
2023-03-10 12:03:18	ga_s2am_ard_3-2-1_50KMC_2023-03-10_final.stac-item
2023-03-13 12:14:23	ga_s2am_ard_3-2-1_49KGP_2023-03-13_final.stac-item
2023-03-24 11:44:29	ga_s2am_ard_3-2-1_50JRT_2023-03-24_final.stac-item
2023-04-09 12:04:34	ga_s2am_ard_3-2-1_49KHP_2023-04-09_final.stac-item
2023-04-26 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-26_final.stac-item
2023-05-30 11:35:34	ga_s2am_ard_3-2-1_51JUJ_2023-05-30_final.stac-item
2023-06-09 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2023-06-09_final.stac-item
2023-06-15 11:53:40	ga_s2am_ard_3-2-1_50KPB_2023-06-15_final.stac-item
2023-06-22 11:46:12	ga_s2am_ard_3-2-1_50JNM_2023-06-22_final.stac-item
2023-07-16 11:27:03	ga_s2am_ard_3-2-1_51HVC_2023-07-16_final.stac-item
2023-09-03 11:55:55	ga_s2am_ard_3-2-1_50JNN_2023-09-03_final.stac-item
2023-09-03 11:55:58	ga_s2am_ard_3-2-1_50JMN_2023-09-03_final.stac-item
2023-10-06 12:05:16	ga_s2am_ard_3-2-1_49JGL_2023-10-06_final.stac-item
2023-10-23 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-10-23_final.stac-item
2023-11-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-11-05_final.stac-item
2023-12-26 11:36:29	ga_s2am_ard_3-2-1_51HTE_2023-12-26_final.stac-item
2024-01-12 11:26:20	ga_s2am_ard_3-2-1_51HWE_2024-01-12_final.stac-item
2024-03-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2024-03-07_final.stac-item
2024-04-10 11:55:56	ga_s2am_ard_3-2-1_50JLN_2024-04-10_final.stac-item
2024-04-24 11:36:02	ga_s2am_ard_3-2-1_51JUG_2024-04-24_nrt.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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