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
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_51HVE_2015-09-29_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNM_2015-12-04_final.stac-item
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53HPC_2015-12-07_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_52KCG_2016-01-11_final.stac-item
2016-01-25 10:53:17	ga_s2am_ard_3-2-1_52KHD_2016-01-25_final.stac-item
2016-02-02 10:15:50	ga_s2am_ard_3-2-1_54HUK_2016-02-02_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-03-06_final.stac-item
2016-03-19 10:31:57	ga_s2am_ard_3-2-1_53KQA_2016-03-19_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KXU_2016-03-24_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_54HYJ_2016-03-27_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53KQS_2016-03-29_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53JLK_2016-04-01_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLP_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KMV_2016-04-02_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KDG_2016-04-10_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_52KCD_2016-04-20_final.stac-item
2016-04-21 10:43:16	ga_s2am_ard_3-2-1_53KMR_2016-04-21_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KXS_2016-04-23_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51LYC_2016-04-23_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_51KZP_2016-04-30_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_52KCG_2016-04-30_final.stac-item
2016-05-06 09:52:47	ga_s2am_ard_3-2-1_54HXG_2016-05-06_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HWD_2016-05-10_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_53JKG_2016-05-11_final.stac-item
2016-05-27 11:00:46	ga_s2am_ard_3-2-1_52LGL_2016-05-27_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53LPF_2016-05-31_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVV_2016-06-05_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JDT_2016-06-06_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KRV_2016-08-19_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2017-09-17 10:23:03	ga_s2am_ard_3-2-1_54JUQ_2017-09-17_final
2018-03-02 10:37:24	ga_s2am_ard_3-2-1_53JPL_2018-03-02_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KVR_2018-03-27_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51LWG_2018-03-30_final.stac-item
2018-06-17 10:27:07	ga_s2am_ard_3-2-1_53JPL_2018-06-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLM_2018-08-23_final
2018-08-26 10:27:07	ga_s2am_ard_3-2-1_53JQM_2018-08-26_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HWC_2018-09-27_final.stac-item
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-09-29_final.stac-item
2019-01-23 10:34:26	ga_s2am_ard_3-2-1_54JTR_2019-01-23_final
2019-04-07 10:15:31	ga_s2am_ard_3-2-1_54JVM_2019-04-07_final
2019-05-14 11:41:01	ga_s2am_ard_3-2-1_51LWG_2019-05-14_final.stac-item
2019-06-14 11:11:08	ga_s2am_ard_3-2-1_52LEL_2019-06-14_final.stac-item
2019-07-16 11:52:25	ga_s2am_ard_3-2-1_50KQG_2019-07-16_final.stac-item
2019-08-02 10:07:41	ga_s2am_ard_3-2-1_54HXC_2019-08-02_final
2019-10-18 11:31:32	ga_s2am_ard_3-2-1_52LBJ_2019-10-18_final
2019-11-28 11:02:10	ga_s2am_ard_3-2-1_53KKA_2019-11-28_final
2019-12-09 10:34:00	ga_s2am_ard_3-2-1_53JQN_2019-12-09_final
2019-12-21 11:14:40	ga_s2am_ard_3-2-1_52JDR_2019-12-21_final
2020-01-31 10:41:45	ga_s2am_ard_3-2-1_53KPB_2020-01-31_final
2020-03-05 10:25:31	ga_s2am_ard_3-2-1_54JVL_2020-03-05_final
2020-05-01 10:15:10	ga_s2am_ard_3-2-1_54JUP_2020-05-01_final
2020-05-31 10:15:14	ga_s2am_ard_3-2-1_54JUP_2020-05-31_final
2020-06-07 11:47:20	ga_s2am_ard_3-2-1_50HLH_2020-06-07_final
2020-06-21 11:23:08	ga_s2am_ard_3-2-1_51KYT_2020-06-21_final
2020-06-26 10:36:37	ga_s2am_ard_3-2-1_53HPC_2020-06-26_final
2020-09-07 10:44:21	ga_s2am_ard_3-2-1_53JPM_2020-09-07_final
2020-09-26 11:11:24	ga_s2am_ard_3-2-1_52LEK_2020-09-26_final.stac-item
2020-11-23 10:34:23	ga_s2am_ard_3-2-1_53JPM_2020-11-23_final
2020-11-28 11:26:44	ga_s2am_ard_3-2-1_51HVD_2020-11-28_final
2020-12-08 11:23:22	ga_s2am_ard_3-2-1_51KYS_2020-12-08_final
2020-12-20 10:23:56	ga_s2am_ard_3-2-1_54JVT_2020-12-20_final
2021-04-23 10:07:22	ga_s2am_ard_3-2-1_54HWD_2021-04-23_final
2021-05-03 11:43:13	ga_s2am_ard_3-2-1_51KUT_2021-05-03_final
2021-06-18 10:26:45	ga_s2am_ard_3-2-1_54HTG_2021-06-18_final
2021-07-31 12:14:21	ga_s2am_ard_3-2-1_50KKU_2021-07-31_final
2021-09-09 10:34:29	ga_s2am_ard_3-2-1_54JTR_2021-09-09_final
2021-09-19 10:34:28	ga_s2am_ard_3-2-1_53JNM_2021-09-19_final
2021-11-20 11:12:50	ga_s2am_ard_3-2-1_52KFC_2021-11-20_final
2022-02-03 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-02-03_final
2022-03-30 11:15:21	ga_s2am_ard_3-2-1_52JCP_2022-03-30_final
2022-04-01 11:52:22	ga_s2am_ard_3-2-1_50KQG_2022-04-01_final.stac-item
2022-04-08 11:41:34	ga_s2am_ard_3-2-1_51LUE_2022-04-08_final
2022-05-07 10:34:30	ga_s2am_ard_3-2-1_53JNM_2022-05-07_final
2022-06-16 10:34:43	ga_s2am_ard_3-2-1_53JQL_2022-06-16_final
2022-07-26 10:34:10	ga_s2am_ard_3-2-1_53JRN_2022-07-26_final
2022-09-04 10:34:11	ga_s2am_ard_3-2-1_53JRN_2022-09-04_final.stac-item
2022-09-19 11:23:36	ga_s2am_ard_3-2-1_52KCA_2022-09-19_final.stac-item
2022-09-24 10:34:21	ga_s2am_ard_3-2-1_54JTS_2022-09-24_final.stac-item
2022-09-25 11:43:11	ga_s2am_ard_3-2-1_50KRD_2022-09-25_final.stac-item
2022-10-06 11:15:29	ga_s2am_ard_3-2-1_52JBP_2022-10-06_final.stac-item
2023-01-25 10:44:28	ga_s2am_ard_3-2-1_53JNL_2023-01-25_final.stac-item
2023-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-02-05_final.stac-item
2023-04-02 10:34:17	ga_s2am_ard_3-2-1_53JQM_2023-04-02_final.stac-item
2023-04-12 10:34:07	ga_s2am_ard_3-2-1_53JPN_2023-04-12_final.stac-item
2023-04-27 11:22:52	ga_s2am_ard_3-2-1_51KZU_2023-04-27_final.stac-item
2023-05-10 11:34:35	ga_s2am_ard_3-2-1_51JTN_2023-05-10_final.stac-item
2023-05-29 10:23:54	ga_s2am_ard_3-2-1_53KRP_2023-05-29_final.stac-item
2023-06-08 10:26:54	ga_s2am_ard_3-2-1_53HPB_2023-06-08_final.stac-item
2023-06-15 10:17:15	ga_s2am_ard_3-2-1_54HVE_2023-06-15_final.stac-item
2023-07-29 11:31:23	ga_s2am_ard_3-2-1_52LBK_2023-07-29_final.stac-item
2023-09-29 10:34:35	ga_s2am_ard_3-2-1_53JQL_2023-09-29_final.stac-item
2023-10-09 10:34:25	ga_s2am_ard_3-2-1_53JNM_2023-10-09_final.stac-item
2023-10-09 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-09_final.stac-item
2024-01-15 09:56:46	ga_s2am_ard_3-2-1_54HYF_2024-01-15_final.stac-item
2024-01-23 10:56:10	ga_s2am_ard_3-2-1_52HEK_2024-01-23_final.stac-item
2024-02-02 10:52:01	ga_s2am_ard_3-2-1_53KNA_2024-02-02_final.stac-item
2024-02-08 11:12:28	ga_s2am_ard_3-2-1_52KEE_2024-02-08_final.stac-item
2024-02-23 10:24:38	ga_s2am_ard_3-2-1_53JQL_2024-02-23_final.stac-item
2024-02-26 10:33:44	ga_s2am_ard_3-2-1_53KRP_2024-02-26_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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