Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52KHE_2016-01-15_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KEC_2016-01-21_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPK_2016-03-07_final.stac-item
2016-04-01 10:37:37	ga_s2am_ard_3-2-1_53KNA_2016-04-01_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51HWE_2016-04-10_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KCG_2016-04-10_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_51KZP_2016-04-20_final.stac-item
2016-04-28 10:34:09	ga_s2am_ard_3-2-1_53JNL_2016-04-28_final.stac-item
2016-04-30 11:07:13	ga_s2am_ard_3-2-1_51KZR_2016-04-30_final.stac-item
2016-05-05 10:19:53	ga_s2am_ard_3-2-1_53JQK_2016-05-05_final.stac-item
2016-05-05 10:19:53	ga_s2am_ard_3-2-1_53JRN_2016-05-05_final.stac-item
2016-05-21 10:43:13	ga_s2am_ard_3-2-1_53KLQ_2016-05-21_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KLU_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KMB_2016-05-22_final.stac-item
2016-05-28 10:34:29	ga_s2am_ard_3-2-1_53HME_2016-05-28_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KBV_2016-05-30_final.stac-item
2016-11-26 11:10:35	ga_s2am_ard_3-2-1_52LGM_2016-11-26_final.stac-item
2016-11-27 10:42:04	ga_s2am_ard_3-2-1_53JNM_2016-11-27_final.stac-item
2016-12-20 10:52:10	ga_s2am_ard_3-2-1_53KMS_2016-12-20_final.stac-item
2017-01-13 10:32:45	ga_s2am_ard_3-2-1_53JQM_2017-01-13_final.stac-item
2017-03-26 11:07:06	ga_s2am_ard_3-2-1_52LGM_2017-03-26_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYL_2017-06-27_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HVC_2017-12-04_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVT_2018-01-06_final.stac-item
2018-01-18 10:32:26	ga_s2am_ard_3-2-1_53JQM_2018-01-18_final.stac-item
2018-01-31 10:43:07	ga_s2am_ard_3-2-1_53JNN_2018-01-31_final.stac-item
2018-03-11 11:07:08	ga_s2am_ard_3-2-1_52LFL_2018-03-11_final.stac-item
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53JRN_2018-05-18_final.stac-item
2018-09-12 10:21:59	ga_s2am_ard_3-2-1_53JRM_2018-09-12_final.stac-item
2018-11-14 10:34:31	ga_s2am_ard_3-2-1_53JPL_2018-11-14_final.stac-item
2018-12-09 11:23:20	ga_s2am_ard_3-2-1_51KXS_2018-12-09_final.stac-item
2019-01-23 10:34:15	ga_s2am_ard_3-2-1_53JQM_2019-01-23_final.stac-item
2019-02-09 10:27:02	ga_s2am_ard_3-2-1_53HPA_2019-02-09_final.stac-item
2019-02-22 10:34:14	ga_s2am_ard_3-2-1_53JQM_2019-02-22_final.stac-item
2019-03-17 10:44:06	ga_s2am_ard_3-2-1_53JNN_2019-03-17_final.stac-item
2019-04-10 12:05:42	ga_s2am_ard_3-2-1_50JKP_2019-04-10_final.stac-item
2019-04-14 11:42:48	ga_s2am_ard_3-2-1_51KUV_2019-04-14_final.stac-item
2019-04-16 10:43:50	ga_s2am_ard_3-2-1_53KPP_2019-04-16_final.stac-item
2019-05-01 11:33:16	ga_s2am_ard_3-2-1_51KWT_2019-05-01_final.stac-item
2019-07-25 10:44:33	ga_s2am_ard_3-2-1_53JPL_2019-07-25_final.stac-item
2019-09-07 10:24:18	ga_s2am_ard_3-2-1_53JRM_2019-09-07_final.stac-item
2019-09-10 10:34:31	ga_s2am_ard_3-2-1_53JQL_2019-09-10_final.stac-item
2019-11-06 10:24:21	ga_s2am_ard_3-2-1_53JRM_2019-11-06_final.stac-item
2019-11-07 11:33:44	ga_s2am_ard_3-2-1_51KWR_2019-11-07_final.stac-item
2019-11-29 10:34:03	ga_s2am_ard_3-2-1_53JQN_2019-11-29_final.stac-item
2019-12-09 10:34:10	ga_s2am_ard_3-2-1_53JNN_2019-12-09_final.stac-item
2019-12-30 11:43:06	ga_s2am_ard_3-2-1_51KVT_2019-12-30_final.stac-item
2020-01-19 11:43:23	ga_s2am_ard_3-2-1_51KUS_2020-01-19_final.stac-item
2020-01-26 11:33:09	ga_s2am_ard_3-2-1_51KVT_2020-01-26_final.stac-item
2020-02-24 10:26:41	ga_s2am_ard_3-2-1_53HQB_2020-02-24_final.stac-item
2020-02-27 10:34:28	ga_s2am_ard_3-2-1_53JQL_2020-02-27_final.stac-item
2020-04-17 10:34:14	ga_s2am_ard_3-2-1_53JRM_2020-04-17_final.stac-item
2020-05-12 11:26:48	ga_s2am_ard_3-2-1_51HVD_2020-05-12_final.stac-item
2020-07-07 11:42:03	ga_s2am_ard_3-2-1_51LVC_2020-07-07_final.stac-item
2020-10-12 11:33:18	ga_s2am_ard_3-2-1_51KWT_2020-10-12_final.stac-item
2020-10-27 10:44:26	ga_s2am_ard_3-2-1_53JNM_2020-10-27_final.stac-item
2020-11-03 10:34:30	ga_s2am_ard_3-2-1_53JNM_2020-11-03_final.stac-item
2020-11-08 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2020-11-08_final.stac-item
2020-11-11 11:33:38	ga_s2am_ard_3-2-1_51KUS_2020-11-11_final.stac-item
2020-11-13 10:34:17	ga_s2am_ard_3-2-1_53JNN_2020-11-13_final.stac-item
2020-12-01 11:33:41	ga_s2am_ard_3-2-1_51KWR_2020-12-01_final.stac-item
2020-12-28 11:23:28	ga_s2am_ard_3-2-1_51KXS_2020-12-28_final.stac-item
2020-12-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2020-12-30_final.stac-item
2021-01-02 10:34:33	ga_s2am_ard_3-2-1_53JQL_2021-01-02_final.stac-item
2021-01-24 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2021-01-24_final.stac-item
2021-01-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-26_final.stac-item
2021-03-03 10:34:04	ga_s2am_ard_3-2-1_53JQN_2021-03-03_final.stac-item
2021-06-04 10:46:07	ga_s2am_ard_3-2-1_53HME_2021-06-04_final.stac-item
2021-10-12 10:44:26	ga_s2am_ard_3-2-1_53JNM_2021-10-12_final.stac-item
2021-10-19 10:34:09	ga_s2am_ard_3-2-1_53JQN_2021-10-19_final.stac-item
2021-12-18 10:34:26	ga_s2am_ard_3-2-1_53JNM_2021-12-18_final.stac-item
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUT_2021-12-29_final.stac-item
2022-02-08 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2022-02-08_final.stac-item
2022-03-28 12:13:42	ga_s2am_ard_3-2-1_50KKB_2022-03-28_final.stac-item
2022-04-09 11:10:37	ga_s2am_ard_3-2-1_52LHM_2022-04-09_final.stac-item
2022-06-13 12:05:51	ga_s2am_ard_3-2-1_50JKP_2022-06-13_final.stac-item
2022-07-26 10:34:35	ga_s2am_ard_3-2-1_53JNM_2022-07-26_final.stac-item
2022-09-05 11:46:31	ga_s2am_ard_3-2-1_50JPL_2022-09-05_final.stac-item
2022-09-24 10:34:25	ga_s2am_ard_3-2-1_53JQM_2022-09-24_final.stac-item
2022-12-01 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-12-01_final.stac-item
2022-12-18 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2022-12-18_final.stac-item
2023-01-10 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-10_final.stac-item
2023-01-22 10:34:29	ga_s2am_ard_3-2-1_53JQL_2023-01-22_final.stac-item
2023-03-14 11:42:42	ga_s2am_ard_3-2-1_51KUV_2023-03-14_final
2023-04-03 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-04-03_final
2023-05-21 11:06:06	ga_s2am_ard_3-2-1_52JDL_2023-05-21_final
2023-05-22 10:34:06	ga_s2am_ard_3-2-1_53JQN_2023-05-22_final
2023-07-16 11:23:32	ga_s2am_ard_3-2-1_52KCA_2023-07-16_final
2023-07-19 11:33:17	ga_s2am_ard_3-2-1_51KWT_2023-07-19_final
2023-08-27 10:24:25	ga_s2am_ard_3-2-1_53JRM_2023-08-27_final
2023-09-09 10:34:41	ga_s2am_ard_3-2-1_53JPL_2023-09-09_final
2023-09-19 10:34:39	ga_s2am_ard_3-2-1_53JPL_2023-09-19_final
2023-11-26 11:33:25	ga_s2am_ard_3-2-1_51KVS_2023-11-26_final
2023-11-26 11:33:39	ga_s2am_ard_3-2-1_51KVR_2023-11-26_final
2023-12-16 11:33:12	ga_s2am_ard_3-2-1_51KVT_2023-12-16_final
2023-12-30 11:11:02	ga_s2am_ard_3-2-1_52LEL_2023-12-30_final
2024-01-15 11:33:02	ga_s2am_ard_3-2-1_51KXT_2024-01-15_final
2024-01-17 10:33:55	ga_s2am_ard_3-2-1_53JQN_2024-01-17_final
2024-01-22 11:23:36	ga_s2am_ard_3-2-1_51KXR_2024-01-22_final
2024-02-28 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2024-02-28_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years