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
2015-08-22 10:34:11	ga_s2am_ard_3-2-1_54JTR_2015-08-22_final.stac-item
2015-12-16 10:50:59	ga_s2am_ard_3-2-1_53LPG_2015-12-16_final.stac-item
2016-02-17 11:02:07	ga_s2am_ard_3-2-1_52JDT_2016-02-17_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGK_2016-09-12_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53JPL_2016-10-28_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVP_2017-01-01_final
2017-01-02 10:57:17	ga_s2am_ard_3-2-1_52LGM_2017-01-02_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52JFT_2017-01-02_final.stac-item
2017-03-22 09:52:39	ga_s2am_ard_3-2-1_54HYB_2017-03-22_final
2017-05-12 10:57:19	ga_s2am_ard_3-2-1_53LLG_2017-05-12_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54JTT_2017-06-09_final
2017-06-19 10:18:54	ga_s2am_ard_3-2-1_54LWL_2017-06-19_final
2017-07-14 11:12:15	ga_s2am_ard_3-2-1_51KZR_2017-07-14_final
2017-10-17 10:26:36	ga_s2am_ard_3-2-1_53HPB_2017-10-17_final
2017-11-24 09:48:18	ga_s2am_ard_3-2-1_55GCQ_2017-11-24_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51JXF_2018-01-20_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52HBK_2018-01-20_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JKM_2018-02-11_final
2018-04-19 09:57:09	ga_s2am_ard_3-2-1_54JXM_2018-04-19_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-04-25_final
2018-05-27 09:22:46	ga_s2am_ard_3-2-1_55GEN_2018-05-26_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52KFB_2018-06-06_final
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_52KDA_2018-09-07_final
2018-09-26 09:57:03	ga_s2am_ard_3-2-1_54HVD_2018-09-26_final
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_54LWM_2018-10-05_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52JCT_2018-10-17_final
2018-11-15 11:42:22	ga_s2am_ard_3-2-1_51KVA_2018-11-15_final
2019-01-15 11:12:02	ga_s2am_ard_3-2-1_52KDG_2019-01-15_final
2019-02-13 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-02-13_final
2019-06-13 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2019-06-13_final
2019-08-11 10:36:28	ga_s2am_ard_3-2-1_53HMD_2019-08-11_final
2019-08-12 11:43:47	ga_s2am_ard_3-2-1_51KUR_2019-08-12_final
2019-09-04 10:14:47	ga_s2am_ard_3-2-1_54JYP_2019-09-04_final
2019-09-05 11:23:06	ga_s2am_ard_3-2-1_51KZT_2019-09-05_final
2019-10-17 10:25:38	ga_s2am_ard_3-2-1_54JVL_2019-10-17_final
2019-10-25 11:26:14	ga_s2am_ard_3-2-1_51JWF_2019-10-25_final
2019-11-16 10:26:48	ga_s2am_ard_3-2-1_53HQB_2019-11-16_final
2019-12-16 10:26:02	ga_s2am_ard_3-2-1_53HPE_2019-12-16_final
2020-02-07 10:35:00	ga_s2am_ard_3-2-1_54JTN_2020-02-07_final
2020-03-27 11:04:14	ga_s2am_ard_3-2-1_52JET_2020-03-27_final
2020-04-24 10:20:29	ga_s2am_ard_3-2-1_54LXM_2020-04-24_final
2020-04-29 11:13:57	ga_s2am_ard_3-2-1_52KBV_2020-04-29_final
2020-05-16 11:04:48	ga_s2am_ard_3-2-1_52JFR_2020-05-16_final
2020-05-25 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-05-25_final
2020-06-01 11:23:56	ga_s2am_ard_3-2-1_51KZQ_2020-06-01_final
2020-06-14 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-06-14_final
2020-06-27 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-06-27_final
2020-07-04 11:33:02	ga_s2am_ard_3-2-1_51KWU_2020-07-04_final
2020-07-26 10:35:46	ga_s2am_ard_3-2-1_53JMG_2020-07-26_final
2020-09-26 11:14:26	ga_s2am_ard_3-2-1_52JCT_2020-09-26_final
2020-11-13 10:34:18	ga_s2am_ard_3-2-1_53JRM_2020-11-13_final
2020-11-24 11:42:11	ga_s2am_ard_3-2-1_51KWB_2020-11-24_final
2020-11-26 10:46:22	ga_s2am_ard_3-2-1_53HMD_2020-11-26_final
2020-12-17 10:15:58	ga_s2am_ard_3-2-1_54HXJ_2020-12-17_final
2021-01-01 11:00:43	ga_s2am_ard_3-2-1_53LKG_2021-01-01_final
2021-01-07 09:48:09	ga_s2am_ard_3-2-1_54GYA_2021-01-07_final
2021-01-16 10:14:47	ga_s2am_ard_3-2-1_54JVQ_2021-01-16_final
2021-02-05 10:11:12	ga_s2am_ard_3-2-1_54LYJ_2021-02-05_final
2021-06-08 10:24:31	ga_s2am_ard_3-2-1_54JUR_2021-06-08_final
2021-06-19 11:34:14	ga_s2am_ard_3-2-1_51KVP_2021-06-19_final
2021-07-29 11:33:12	ga_s2am_ard_3-2-1_51KXT_2021-07-29_final
2021-08-12 11:14:11	ga_s2am_ard_3-2-1_51KZP_2021-08-12_final
2021-09-26 10:20:43	ga_s2am_ard_3-2-1_54LYL_2021-09-26_final
2021-09-26 10:24:52	ga_s2am_ard_3-2-1_54JTQ_2021-09-26_final
2021-10-04 11:23:26	ga_s2am_ard_3-2-1_51KZS_2021-10-04_final
2021-12-17 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-12-17_final
2022-01-25 11:32:55	ga_s2am_ard_3-2-1_51KXU_2022-01-25_final
2022-01-27 10:30:07	ga_s2am_ard_3-2-1_54LXN_2022-01-27_final
2022-02-18 09:38:40	ga_s2am_ard_3-2-1_55GEN_2022-02-18_final
2022-03-08 10:33:49	ga_s2am_ard_3-2-1_53KRP_2022-03-08_final
2022-03-13 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-03-13_final
2022-06-07 11:43:05	ga_s2am_ard_3-2-1_51KVU_2022-06-07_final
2022-06-15 11:04:54	ga_s2am_ard_3-2-1_52JFR_2022-06-15_final
2022-07-02 10:56:17	ga_s2am_ard_3-2-1_52JEL_2022-07-02_final
2022-07-04 11:33:15	ga_s2am_ard_3-2-1_51KYT_2022-07-04_final
2022-08-05 10:36:18	ga_s2am_ard_3-2-1_53HNE_2022-08-05_final
2022-09-28 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-09-28_final.stac-item
2022-11-03 10:33:35	ga_s2am_ard_3-2-1_53KRQ_2022-11-03_final.stac-item
2022-11-03 10:34:18	ga_s2am_ard_3-2-1_53JRM_2022-11-03_final.stac-item
2022-11-15 11:16:14	ga_s2am_ard_3-2-1_51JXF_2022-11-15_final.stac-item
2022-12-18 09:47:54	ga_s2am_ard_3-2-1_54HYB_2022-12-18_final.stac-item
2023-01-22 12:14:26	ga_s2am_ard_3-2-1_49KFP_2023-01-22_nrt.stac-item
2023-03-14 11:43:01	ga_s2am_ard_3-2-1_50KRD_2023-03-14_final.stac-item
2023-03-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-03-21_final.stac-item
2023-04-11 11:03:02	ga_s2am_ard_3-2-1_52KFC_2023-04-11_final.stac-item
2023-06-08 10:24:19	ga_s2am_ard_3-2-1_54JUS_2023-06-08_final.stac-item
2023-07-06 09:48:50	ga_s2am_ard_3-2-1_55GDN_2023-07-06_final.stac-item
2023-09-16 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-09-16_final.stac-item
2023-10-03 10:16:15	ga_s2am_ard_3-2-1_54HVJ_2023-10-03_final.stac-item
2023-10-04 11:23:23	ga_s2am_ard_3-2-1_51KZS_2023-10-04_final.stac-item
2023-10-26 10:19:44	ga_s2am_ard_3-2-1_54LXQ_2023-10-26_final.stac-item
2023-11-13 11:21:20	ga_s2am_ard_3-2-1_52LCK_2023-11-13_final.stac-item
2023-12-03 11:25:16	ga_s2am_ard_3-2-1_51JXJ_2023-12-03_final.stac-item
2023-12-16 11:31:08	ga_s2am_ard_3-2-1_52LBL_2023-12-16_final.stac-item
2024-01-18 10:06:16	ga_s2am_ard_3-2-1_54HXH_2024-01-18_final.stac-item
2024-02-06 10:34:40	ga_s2am_ard_3-2-1_54JTQ_2024-02-06_final.stac-item
2024-02-07 10:06:49	ga_s2am_ard_3-2-1_54HXF_2024-02-07_final.stac-item
2024-04-23 10:20:34	ga_s2am_ard_3-2-1_54LWM_2024-04-23_final.stac-item
2024-04-25 11:03:48	ga_s2am_ard_3-2-1_52KFV_2024-04-25_final.stac-item
2024-05-03 10:20:45	ga_s2am_ard_3-2-1_54LXL_2024-05-03_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

All years