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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JCM_2015-08-01_final.stac-item
2015-08-28 10:53:21	ga_s2am_ard_3-2-1_52KGV_2015-08-28_final.stac-item
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_53KKB_2017-01-02_final
2017-06-11 11:02:12	ga_s2am_ard_3-2-1_52KEB_2017-06-11_final
2017-10-26 10:53:14	ga_s2am_ard_3-2-1_53KKS_2017-10-26_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWU_2018-01-26_final
2018-01-27 10:57:11	ga_s2am_ard_3-2-1_52KHB_2018-01-27_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KCD_2018-01-30_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KBA_2018-02-19_final
2018-03-22 10:37:24	ga_s2am_ard_3-2-1_53JMN_2018-03-22_final
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KXT_2018-05-16_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQV_2018-06-08_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLH_2018-07-21_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52KGU_2018-08-02_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52KEV_2018-08-05_final
2019-01-19 10:55:31	ga_s2am_ard_3-2-1_52JEN_2019-01-19_final
2019-01-23 10:34:15	ga_s2am_ard_3-2-1_53JQM_2019-01-23_final
2019-01-31 11:34:34	ga_s2am_ard_3-2-1_50JRT_2019-01-31_final
2019-02-24 11:16:18	ga_s2am_ard_3-2-1_51HYE_2019-02-24_final
2019-02-27 11:23:53	ga_s2am_ard_3-2-1_51KXQ_2019-02-27_final
2019-03-08 11:55:58	ga_s2am_ard_3-2-1_50JNM_2019-03-08_final
2019-05-20 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-05-20_final
2019-06-15 10:45:47	ga_s2am_ard_3-2-1_53JKG_2019-06-15_final
2019-07-12 10:36:01	ga_s2am_ard_3-2-1_53HQE_2019-07-12_final
2019-07-30 11:34:10	ga_s2am_ard_3-2-1_51KXP_2019-07-30_final
2019-08-10 11:05:09	ga_s2am_ard_3-2-1_52JDQ_2019-08-10_final
2019-08-29 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2019-08-29_final
2019-09-15 11:24:03	ga_s2am_ard_3-2-1_51KZP_2019-09-15_final
2019-10-09 11:02:57	ga_s2am_ard_3-2-1_52KHC_2019-10-09_final
2019-11-28 11:04:47	ga_s2am_ard_3-2-1_52JER_2019-11-28_final
2019-12-30 11:42:22	ga_s2am_ard_3-2-1_51KVA_2019-12-30_final
2020-01-07 11:02:19	ga_s2am_ard_3-2-1_53KKV_2020-01-07_final
2020-01-19 11:46:16	ga_s2am_ard_3-2-1_50JNL_2020-01-19_final
2020-01-26 11:32:44	ga_s2am_ard_3-2-1_51KYU_2020-01-26_final
2020-03-23 11:26:22	ga_s2am_ard_3-2-1_51HWE_2020-03-23_final
2020-03-25 10:25:02	ga_s2am_ard_3-2-1_53JQJ_2020-03-25_final
2020-04-24 12:05:31	ga_s2am_ard_3-2-1_49JGK_2020-04-24_final
2020-08-02 12:04:19	ga_s2am_ard_3-2-1_50KKV_2020-08-02_final
2020-09-22 11:32:55	ga_s2am_ard_3-2-1_51KYU_2020-09-22_final
2020-10-23 11:05:32	ga_s2am_ard_3-2-1_52JFN_2020-10-23_final
2020-11-12 11:01:03	ga_s2am_ard_3-2-1_52LHL_2020-11-12_final
2020-12-13 10:33:46	ga_s2am_ard_3-2-1_53KQP_2020-12-13_final
2020-12-22 11:03:18	ga_s2am_ard_3-2-1_53KKR_2020-12-22_final
2021-01-03 11:43:28	ga_s2am_ard_3-2-1_51KVS_2021-01-03_final
2021-01-27 11:22:27	ga_s2am_ard_3-2-1_51KYA_2021-01-27_final
2021-02-03 11:11:12	ga_s2am_ard_3-2-1_52LGK_2021-02-03_final
2021-02-13 11:16:19	ga_s2am_ard_3-2-1_52HBK_2021-02-13_final
2021-02-21 10:33:59	ga_s2am_ard_3-2-1_53JRN_2021-02-21_final
2021-03-15 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-03-15_final
2021-05-07 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2021-05-07_final
2021-06-13 11:14:09	ga_s2am_ard_3-2-1_51KZP_2021-06-13_final
2021-06-18 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-06-18_final
2021-07-06 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-07-06_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_50KKA_2021-08-17_final
2021-10-02 10:46:14	ga_s2am_ard_3-2-1_53HLE_2021-10-02_final
2021-11-18 10:33:06	ga_s2am_ard_3-2-1_53KQS_2021-11-18_final
2021-12-03 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-12-03_final
2022-01-05 11:33:36	ga_s2am_ard_3-2-1_51KUS_2022-01-05_final
2022-01-15 11:32:51	ga_s2am_ard_3-2-1_51KYU_2022-01-15_final
2022-01-30 10:44:57	ga_s2am_ard_3-2-1_53JLK_2022-01-30_final
2022-03-09 11:43:08	ga_s2am_ard_3-2-1_50KRD_2022-03-09_final
2022-04-05 11:35:02	ga_s2am_ard_3-2-1_51JUL_2022-04-05_final
2022-04-17 12:13:43	ga_s2am_ard_3-2-1_50KKB_2022-04-17_final
2022-05-22 11:25:59	ga_s2am_ard_3-2-1_51JXG_2022-05-22_final
2022-05-23 10:55:10	ga_s2am_ard_3-2-1_52JGQ_2022-05-23_final
2022-06-24 11:33:34	ga_s2am_ard_3-2-1_51KUT_2022-06-24_final
2022-07-16 12:15:32	ga_s2am_ard_3-2-1_49JGK_2022-07-16_final
2022-08-17 11:16:00	ga_s2am_ard_3-2-1_52JCM_2022-08-17_final
2022-08-19 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-08-19_final
2022-09-16 11:15:13	ga_s2am_ard_3-2-1_52JCQ_2022-09-16_final.stac-item
2022-09-20 10:51:07	ga_s2am_ard_3-2-1_53LLF_2022-09-20_final.stac-item
2022-11-17 11:53:18	ga_s2am_ard_3-2-1_50KNC_2022-11-17_final.stac-item
2022-12-22 11:04:59	ga_s2am_ard_3-2-1_52JEQ_2022-12-22_final.stac-item
2023-01-05 10:43:47	ga_s2am_ard_3-2-1_53KPP_2023-01-05_final.stac-item
2023-01-17 11:23:50	ga_s2am_ard_3-2-1_51KYQ_2023-01-17_final.stac-item
2023-01-20 11:32:41	ga_s2am_ard_3-2-1_51KVV_2023-01-20_final.stac-item
2023-03-16 10:46:07	ga_s2am_ard_3-2-1_53HLE_2023-03-16_final.stac-item
2023-03-25 11:13:28	ga_s2am_ard_3-2-1_52KEA_2023-03-25_final.stac-item
2023-03-30 12:04:51	ga_s2am_ard_3-2-1_50JLS_2023-03-30_final.stac-item
2023-04-11 11:06:35	ga_s2am_ard_3-2-1_52HBJ_2023-04-11_final.stac-item
2023-05-23 11:43:46	ga_s2am_ard_3-2-1_51KUR_2023-05-23_final.stac-item
2023-06-21 10:36:39	ga_s2am_ard_3-2-1_53HNC_2023-06-21_final.stac-item
2023-07-01 10:32:48	ga_s2am_ard_3-2-1_53KRT_2023-07-01_final.stac-item
2023-07-03 11:11:17	ga_s2am_ard_3-2-1_52LGK_2023-07-03_final.stac-item
2023-07-06 11:24:20	ga_s2am_ard_3-2-1_51KWP_2023-07-06_final.stac-item
2023-11-03 11:22:06	ga_s2am_ard_3-2-1_52KBG_2023-11-03_final.stac-item
2023-11-10 11:10:57	ga_s2am_ard_3-2-1_52LGL_2023-11-10_final.stac-item
2024-01-02 11:26:04	ga_s2am_ard_3-2-1_51JXF_2024-01-02_final.stac-item
2024-01-18 11:41:50	ga_s2am_ard_3-2-1_51LVC_2024-01-18_final.stac-item
2024-02-23 10:25:03	ga_s2am_ard_3-2-1_53JQJ_2024-02-23_final.stac-item
2024-02-28 11:12:05	ga_s2am_ard_3-2-1_52KDG_2024-02-28_final.stac-item
2024-03-05 11:35:08	ga_s2am_ard_3-2-1_51JWK_2024-03-05_final.stac-item
2024-03-06 11:06:07	ga_s2am_ard_3-2-1_52JCL_2024-03-06_final.stac-item
2024-03-13 10:55:54	ga_s2am_ard_3-2-1_53JKF_2024-03-13_final.stac-item
2024-03-26 11:01:51	ga_s2am_ard_3-2-1_52LFH_2024-03-26_final.stac-item
2024-03-26 11:02:53	ga_s2am_ard_3-2-1_52KED_2024-03-26_final.stac-item
2024-03-26 11:03:06	ga_s2am_ard_3-2-1_52KFC_2024-03-26_final.stac-item
2024-04-16 10:36:31	ga_s2am_ard_3-2-1_53HLD_2024-04-16_final.stac-item
2024-04-19 10:46:27	ga_s2am_ard_3-2-1_53HLD_2024-04-19_final.stac-item
2024-04-26 10:34:38	ga_s2am_ard_3-2-1_53JPL_2024-04-26_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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