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
2015-08-12 10:34:03	ga_s2am_ard_3-2-1_53JNN_2015-08-12_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUV_2016-04-29_final.stac-item
2016-05-20 11:12:21	ga_s2am_ard_3-2-1_52KCD_2016-05-20_final.stac-item
2016-06-10 10:43:11	ga_s2am_ard_3-2-1_53JNN_2016-06-10_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51JYK_2016-08-18_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51KVP_2016-08-24_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_53KLR_2016-09-01_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50KKA_2016-09-12_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KXR_2017-03-12_final
2017-04-30 10:23:09	ga_s2am_ard_3-2-1_53HQA_2017-04-30_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50JNL_2017-07-06_final
2017-07-22 10:32:12	ga_s2am_ard_3-2-1_53JRM_2017-07-22_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KWV_2017-07-30_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-10-04_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXV_2017-11-27_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYB_2018-02-02_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51KZU_2018-02-12_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51JWG_2018-03-04_final
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53JQN_2018-03-29_final
2018-04-11 10:37:28	ga_s2am_ard_3-2-1_53HLD_2018-04-11_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53HND_2018-05-28_final
2018-11-23 11:06:17	ga_s2am_ard_3-2-1_52HBK_2018-11-23_final
2019-03-16 11:13:25	ga_s2am_ard_3-2-1_51KZS_2019-03-16_final
2019-04-30 10:26:40	ga_s2am_ard_3-2-1_53HPC_2019-04-30_final
2019-04-30 10:26:50	ga_s2am_ard_3-2-1_53HQB_2019-04-30_final
2019-05-13 10:34:22	ga_s2am_ard_3-2-1_53JQM_2019-05-13_final
2019-06-20 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-06-20_final
2019-06-22 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-06-22_final
2019-07-23 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2019-07-23_final
2019-09-18 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-09-18_final
2019-10-02 11:13:32	ga_s2am_ard_3-2-1_52KEA_2019-10-02_final
2019-10-12 11:13:10	ga_s2am_ard_3-2-1_52KCC_2019-10-12_final
2019-10-24 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-24_final
2019-11-05 10:55:16	ga_s2am_ard_3-2-1_52JGP_2019-11-05_final
2019-11-10 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-11-10_final
2019-11-24 11:23:07	ga_s2am_ard_3-2-1_51KZT_2019-11-24_final
2019-12-27 11:36:55	ga_s2am_ard_3-2-1_51HTC_2019-12-27_final
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_50KKA_2019-12-29_final
2020-01-29 11:47:10	ga_s2am_ard_3-2-1_50HPG_2020-01-29_final.stac-item
2020-02-05 11:33:39	ga_s2am_ard_3-2-1_51KUR_2020-02-05_final
2020-02-17 10:36:44	ga_s2am_ard_3-2-1_53HNB_2020-02-17_final
2020-02-26 11:05:29	ga_s2am_ard_3-2-1_52JDN_2020-02-26_final
2020-04-25 11:34:19	ga_s2am_ard_3-2-1_51KUP_2020-04-25_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_50KKV_2020-05-04_final.stac-item
2020-09-07 10:45:51	ga_s2am_ard_3-2-1_52JGM_2020-09-07_final
2020-10-22 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-10-22_final
2020-12-28 11:23:49	ga_s2am_ard_3-2-1_52KBV_2020-12-28_final
2021-01-15 10:45:59	ga_s2am_ard_3-2-1_53JKF_2021-01-15_final
2021-02-01 10:36:58	ga_s2am_ard_3-2-1_53HPA_2021-02-01_final
2021-02-09 11:33:15	ga_s2am_ard_3-2-1_51KVT_2021-02-09_final
2021-04-10 11:35:11	ga_s2am_ard_3-2-1_51JUK_2021-04-10_final
2021-05-20 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-05-20_final
2021-06-02 11:44:11	ga_s2am_ard_3-2-1_50KPV_2021-06-02_final
2021-07-09 11:32:43	ga_s2am_ard_3-2-1_51KXV_2021-07-09_final
2021-07-17 10:55:49	ga_s2am_ard_3-2-1_52JFM_2021-07-17_final
2021-07-23 11:13:37	ga_s2am_ard_3-2-1_52KDA_2021-07-23_final
2021-07-23 11:13:55	ga_s2am_ard_3-2-1_52KCV_2021-07-23_final
2021-08-03 10:45:54	ga_s2am_ard_3-2-1_53JMF_2021-08-03_final
2021-09-01 11:13:31	ga_s2am_ard_3-2-1_52KEA_2021-09-01_final
2021-09-21 11:12:09	ga_s2am_ard_3-2-1_52KDG_2021-09-21_final
2021-10-01 11:10:47	ga_s2am_ard_3-2-1_52LGM_2021-10-01_final
2021-12-29 11:42:47	ga_s2am_ard_3-2-1_51KUV_2021-12-29_final
2021-12-31 10:44:22	ga_s2am_ard_3-2-1_53JNM_2021-12-31_final
2022-01-02 11:21:34	ga_s2am_ard_3-2-1_52LDJ_2022-01-02_final
2022-01-22 11:26:47	ga_s2am_ard_3-2-1_51HUD_2022-01-22_final
2022-02-18 11:10:41	ga_s2am_ard_3-2-1_52LGM_2022-02-18_final
2022-03-13 11:23:43	ga_s2am_ard_3-2-1_51KYR_2022-03-13_final
2022-05-25 11:34:10	ga_s2am_ard_3-2-1_51KUQ_2022-05-25_final
2022-06-03 10:25:42	ga_s2am_ard_3-2-1_53JQG_2022-06-03_final
2022-07-08 11:13:32	ga_s2am_ard_3-2-1_52KDB_2022-07-08_final
2022-07-08 11:13:57	ga_s2am_ard_3-2-1_52KEV_2022-07-08_final
2022-07-22 10:55:24	ga_s2am_ard_3-2-1_52JGP_2022-07-22_final
2022-08-06 11:47:21	ga_s2am_ard_3-2-1_50HMH_2022-08-06_final
2022-08-23 11:32:56	ga_s2am_ard_3-2-1_51KWV_2022-08-23_final.stac-item
2022-09-06 11:16:38	ga_s2am_ard_3-2-1_51HXE_2022-09-06_final.stac-item
2022-09-14 10:34:35	ga_s2am_ard_3-2-1_53JNM_2022-09-14_final.stac-item
2022-10-04 10:34:40	ga_s2am_ard_3-2-1_53JQL_2022-10-04_final.stac-item
2022-10-12 11:33:03	ga_s2am_ard_3-2-1_51KWU_2022-10-12_final.stac-item
2022-10-19 11:27:01	ga_s2am_ard_3-2-1_51HVC_2022-10-19_final.stac-item
2022-11-14 11:46:18	ga_s2am_ard_3-2-1_50JQL_2022-11-14_final.stac-item
2022-12-25 11:13:06	ga_s2am_ard_3-2-1_52KCC_2022-12-25_final.stac-item
2022-12-31 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2022-12-31_final.stac-item
2023-01-17 11:25:02	ga_s2am_ard_3-2-1_51JYK_2023-01-17_final.stac-item
2023-08-07 12:03:40	ga_s2am_ard_3-2-1_50KLB_2023-08-07_final.stac-item
2023-09-12 10:45:52	ga_s2am_ard_3-2-1_52JGM_2023-09-12_final.stac-item
2023-09-19 10:34:39	ga_s2am_ard_3-2-1_53JPL_2023-09-19_final.stac-item
2023-10-07 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2023-10-07_final.stac-item
2023-10-31 11:13:25	ga_s2am_ard_3-2-1_52KBB_2023-10-31_final.stac-item
2023-12-03 11:23:55	ga_s2am_ard_3-2-1_52KBU_2023-12-03_final.stac-item
2023-12-07 11:05:46	ga_s2am_ard_3-2-1_52JCM_2023-12-07_final.stac-item
2023-12-26 11:33:49	ga_s2am_ard_3-2-1_51KXQ_2023-12-26_final.stac-item
2024-01-09 11:13:25	ga_s2am_ard_3-2-1_52KEA_2024-01-09_final.stac-item
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_final.stac-item
2024-02-27 11:43:28	ga_s2am_ard_3-2-1_51KUS_2024-02-27_final.stac-item
2024-03-11 11:54:13	ga_s2am_ard_3-2-1_50KQU_2024-03-11_final.stac-item
2024-03-15 11:33:01	ga_s2am_ard_3-2-1_51KVU_2024-03-15_final.stac-item
2024-03-17 10:34:25	ga_s2am_ard_3-2-1_53JNM_2024-03-17_final.stac-item
2024-04-02 10:55:47	ga_s2am_ard_3-2-1_52JEM_2024-04-02_final.stac-item
2024-04-26 12:14:11	ga_s2am_ard_3-2-1_49KFQ_2024-04-26_nrt.stac-item
2024-05-13 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2024-05-13_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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