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
2015-09-04 10:45:31	ga_s2am_ard_3-2-1_53HLD_2015-09-04_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_53KKP_2016-06-03_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTK_2016-06-05_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JGS_2016-09-01_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53LPG_2017-02-15_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KZP_2017-08-06_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51LXD_2017-09-08_final
2017-09-29 10:57:12	ga_s2am_ard_3-2-1_53LKH_2017-09-29_final
2017-11-12 10:42:01	ga_s2am_ard_3-2-1_53KRV_2017-11-12_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JWF_2017-11-14_final
2017-11-22 10:37:23	ga_s2am_ard_3-2-1_53KPA_2017-11-22_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50KQA_2018-01-12_final
2018-01-21 10:43:00	ga_s2am_ard_3-2-1_53JMN_2018-01-21_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVQ_2018-01-26_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KGB_2018-02-16_final
2018-04-08 10:27:08	ga_s2am_ard_3-2-1_53JNM_2018-04-08_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JFM_2018-05-08_final
2018-06-03 10:47:26	ga_s2am_ard_3-2-1_53LPH_2018-06-03_final.stac-item
2018-06-30 10:37:28	ga_s2am_ard_3-2-1_53KNS_2018-06-30_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JQN_2018-08-07_final
2018-11-22 11:33:14	ga_s2am_ard_3-2-1_51KXS_2018-11-22_final
2018-12-06 11:11:11	ga_s2am_ard_3-2-1_52LEK_2018-12-06_final.stac-item
2018-12-11 10:26:28	ga_s2am_ard_3-2-1_53HPC_2018-12-11_final
2019-02-21 11:03:04	ga_s2am_ard_3-2-1_53KKS_2019-02-21_final
2019-02-27 11:26:34	ga_s2am_ard_3-2-1_51HUE_2019-02-27_final
2019-05-26 10:46:24	ga_s2am_ard_3-2-1_53HMD_2019-05-26_final
2019-08-09 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-08-09_final
2019-08-26 11:23:26	ga_s2am_ard_3-2-1_51KYS_2019-08-26_final
2019-09-12 11:12:30	ga_s2am_ard_3-2-1_52KEE_2019-09-12_final
2019-09-20 10:34:36	ga_s2am_ard_3-2-1_53JPL_2019-09-20_final
2019-10-15 11:23:28	ga_s2am_ard_3-2-1_51KYS_2019-10-15_final
2019-11-09 10:34:49	ga_s2am_ard_3-2-1_53JQK_2019-11-09_final
2019-11-12 10:43:13	ga_s2am_ard_3-2-1_53KQR_2019-11-12_final
2019-11-30 11:43:43	ga_s2am_ard_3-2-1_51KUR_2019-11-30_final
2019-12-07 11:35:01	ga_s2am_ard_3-2-1_51JTL_2019-12-07_final
2019-12-16 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-12-16_final
2020-01-17 11:01:51	ga_s2am_ard_3-2-1_52KHG_2020-01-17_final
2020-03-04 10:51:27	ga_s2am_ard_3-2-1_53LPC_2020-03-04_final
2020-04-18 11:46:05	ga_s2am_ard_3-2-1_50JQM_2020-04-18_final
2020-07-24 11:31:23	ga_s2am_ard_3-2-1_52LBK_2020-07-24_final
2020-07-25 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-07-25_final
2020-08-01 10:54:53	ga_s2am_ard_3-2-1_52JFR_2020-08-01_final
2020-09-22 11:35:50	ga_s2am_ard_3-2-1_51JUH_2020-09-22_final
2020-10-08 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-08_final
2020-11-05 11:16:27	ga_s2am_ard_3-2-1_51HYE_2020-11-05_final
2020-11-10 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-11-10_final
2020-12-18 11:26:34	ga_s2am_ard_3-2-1_51HXD_2020-12-18_final
2021-01-02 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-01-02_final
2021-03-12 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-03-12_final
2021-05-19 12:03:41	ga_s2am_ard_3-2-1_50KLB_2021-05-19_final
2021-05-24 11:13:16	ga_s2am_ard_3-2-1_52KEB_2021-05-24_final
2021-07-22 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-07-22_final
2021-08-19 11:05:29	ga_s2am_ard_3-2-1_52JFN_2021-08-19_final
2021-09-24 11:23:28	ga_s2am_ard_3-2-1_51KYS_2021-09-24_final
2021-10-10 11:42:18	ga_s2am_ard_3-2-1_51KVB_2021-10-10_final
2021-10-16 12:05:35	ga_s2am_ard_3-2-1_49JGK_2021-10-16_final
2021-12-18 10:33:35	ga_s2am_ard_3-2-1_53KQQ_2021-12-18_final
2022-02-02 10:53:14	ga_s2am_ard_3-2-1_52KHB_2022-02-02_final
2022-02-05 11:06:37	ga_s2am_ard_3-2-1_51HYD_2022-02-05_final
2022-02-06 10:36:58	ga_s2am_ard_3-2-1_53HPA_2022-02-06_final
2022-02-09 10:41:44	ga_s2am_ard_3-2-1_53KRB_2022-02-09_final
2022-03-25 10:26:49	ga_s2am_ard_3-2-1_53HQB_2022-03-25_final
2022-03-30 11:15:24	ga_s2am_ard_3-2-1_52JBP_2022-03-30_final
2022-04-19 11:14:33	ga_s2am_ard_3-2-1_51JYN_2022-04-19_final
2022-04-26 11:00:53	ga_s2am_ard_3-2-1_53LMF_2022-04-26_final
2022-05-27 10:34:21	ga_s2am_ard_3-2-1_53JRM_2022-05-27_final
2022-06-14 11:33:34	ga_s2am_ard_3-2-1_51KXS_2022-06-14_final
2022-08-17 11:16:20	ga_s2am_ard_3-2-1_51JYF_2022-08-17_final
2022-08-25 10:36:38	ga_s2am_ard_3-2-1_53HMD_2022-08-25_final.stac-item
2022-09-02 11:31:17	ga_s2am_ard_3-2-1_52LBL_2022-09-02_final.stac-item
2022-09-27 10:45:36	ga_s2am_ard_3-2-1_53JKH_2022-09-27_final.stac-item
2022-10-12 11:35:03	ga_s2am_ard_3-2-1_51JVL_2022-10-12_final.stac-item
2022-10-31 10:27:05	ga_s2am_ard_3-2-1_53HQA_2022-10-31_final.stac-item
2022-11-22 11:01:14	ga_s2am_ard_3-2-1_52LHK_2022-11-22_final.stac-item
2022-12-13 10:33:38	ga_s2am_ard_3-2-1_53KPQ_2022-12-13_final.stac-item
2022-12-25 11:13:12	ga_s2am_ard_3-2-1_52KBC_2022-12-25_final.stac-item
2023-02-01 10:33:32	ga_s2am_ard_3-2-1_53KPQ_2023-02-01_final.stac-item
2023-02-28 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-02-28_final.stac-item
2023-03-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2023-03-11_final.stac-item
2023-04-04 11:13:21	ga_s2am_ard_3-2-1_52KCB_2023-04-04_final.stac-item
2023-04-22 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-04-22_final.stac-item
2023-05-12 10:31:34	ga_s2am_ard_3-2-1_53LRC_2023-05-12_nrt.stac-item
2023-05-22 10:34:17	ga_s2am_ard_3-2-1_53JRM_2023-05-22_final.stac-item
2023-06-05 11:57:09	ga_s2am_ard_3-2-1_50HMH_2023-06-05_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-07-28 10:26:52	ga_s2am_ard_3-2-1_53HQB_2023-07-28_final.stac-item
2023-09-23 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-09-23_final.stac-item
2023-10-24 11:24:41	ga_s2am_ard_3-2-1_51JXM_2023-10-24_final.stac-item
2023-11-30 11:16:14	ga_s2am_ard_3-2-1_51HYE_2023-11-30_final.stac-item
2024-01-06 11:00:32	ga_s2am_ard_3-2-1_53LMG_2024-01-06_final.stac-item
2024-01-20 10:41:22	ga_s2am_ard_3-2-1_53LRC_2024-01-20_final.stac-item
2024-01-27 10:36:53	ga_s2am_ard_3-2-1_53HPA_2024-01-27_final.stac-item
2024-02-19 10:43:24	ga_s2am_ard_3-2-1_53KMR_2024-02-19_final.stac-item
2024-03-04 10:26:51	ga_s2am_ard_3-2-1_53HPB_2024-03-04_final.stac-item
2024-03-06 11:01:40	ga_s2am_ard_3-2-1_52LFJ_2024-03-06_final.stac-item
2024-03-06 11:01:47	ga_s2am_ard_3-2-1_52LGH_2024-03-06_final.stac-item
2024-03-06 11:04:22	ga_s2am_ard_3-2-1_52JDT_2024-03-06_final.stac-item
2024-03-11 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-11_final.stac-item
2024-05-17 11:43:35	ga_s2am_ard_3-2-1_51KTS_2024-05-17_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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