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
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_52KBD_2016-05-23_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JNM_2016-07-30_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53JLG_2016-11-07_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JMT_2017-02-16_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KVR_2017-02-20_final
2017-03-17 10:42:58	ga_s2am_ard_3-2-1_53JNM_2017-03-17_final
2017-06-04 11:12:17	ga_s2am_ard_3-2-1_52KBC_2017-06-04_final
2017-08-04 10:43:09	ga_s2am_ard_3-2-1_53JNM_2017-08-04_final
2018-01-01 10:42:59	ga_s2am_ard_3-2-1_52JGM_2018-01-01_final
2018-03-12 10:37:23	ga_s2am_ard_3-2-1_53JNM_2018-03-12_final
2018-03-27 11:26:19	ga_s2am_ard_3-2-1_51KXS_2018-03-27_final
2018-04-20 11:10:14	ga_s2am_ard_3-2-1_52KDB_2018-04-20_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KYT_2018-05-16_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KWQ_2018-06-05_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KCD_2018-06-12_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53HME_2018-07-17_final
2018-11-09 11:22:14	ga_s2am_ard_3-2-1_52KCF_2018-11-09_final
2018-11-19 11:22:54	ga_s2am_ard_3-2-1_51KXU_2018-11-19_final
2018-11-24 10:34:06	ga_s2am_ard_3-2-1_53JNN_2018-11-24_final
2018-12-19 11:26:13	ga_s2am_ard_3-2-1_51HXE_2018-12-19_final
2019-03-26 11:13:14	ga_s2am_ard_3-2-1_52KEB_2019-03-26_final
2019-05-05 11:13:19	ga_s2am_ard_3-2-1_52KEB_2019-05-05_final
2019-05-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2019-05-11_final
2019-05-25 11:13:17	ga_s2am_ard_3-2-1_52KBC_2019-05-25_final
2019-06-07 11:25:44	ga_s2am_ard_3-2-1_51JWH_2019-06-07_final
2019-07-12 10:34:19	ga_s2am_ard_3-2-1_53JNN_2019-07-12_final
2019-07-13 11:43:30	ga_s2am_ard_3-2-1_51KVS_2019-07-13_final
2019-07-17 11:23:44	ga_s2am_ard_3-2-1_51KYR_2019-07-17_final
2019-07-17 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2019-07-17_final
2019-07-20 11:33:07	ga_s2am_ard_3-2-1_51KYT_2019-07-20_final
2019-07-23 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2019-07-23_final
2019-08-06 11:23:18	ga_s2am_ard_3-2-1_51KXT_2019-08-06_final
2019-09-18 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-09-18_final
2019-09-30 10:34:27	ga_s2am_ard_3-2-1_53JNM_2019-09-30_final
2019-10-12 11:13:43	ga_s2am_ard_3-2-1_51KZR_2019-10-12_final
2019-11-20 11:47:22	ga_s2am_ard_3-2-1_50HNG_2019-11-20_final.stac-item
2019-12-11 11:13:50	ga_s2am_ard_3-2-1_52KBV_2019-12-11_final
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_50KKB_2020-01-08_final
2020-02-07 10:34:17	ga_s2am_ard_3-2-1_53JNM_2020-02-07_final
2020-03-16 11:33:34	ga_s2am_ard_3-2-1_51KXR_2020-03-16_final
2020-04-05 11:32:57	ga_s2am_ard_3-2-1_51KYT_2020-04-05_final
2020-06-24 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-24_final
2020-07-02 10:55:59	ga_s2am_ard_3-2-1_53JKF_2020-07-02_final
2020-07-31 11:24:11	ga_s2am_ard_3-2-1_52KBU_2020-07-31_final
2020-08-13 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-08-13_final
2020-09-03 11:03:24	ga_s2am_ard_3-2-1_52KEB_2020-09-03_final
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final
2020-11-08 11:23:26	ga_s2am_ard_3-2-1_51KZS_2020-11-08_final
2021-04-22 10:36:17	ga_s2am_ard_3-2-1_53HND_2021-04-22_final
2021-04-22 10:36:17	ga_s2am_ard_3-2-1_53HND_2021-04-22_final
2021-04-24 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2021-04-24_final
2021-05-08 10:55:41	ga_s2am_ard_3-2-1_52JGM_2021-05-08_final
2021-05-16 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-05-16_final
2021-05-20 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-05-20_final
2021-06-29 11:33:11	ga_s2am_ard_3-2-1_51KXT_2021-06-29_final
2021-07-30 11:02:58	ga_s2am_ard_3-2-1_52KHC_2021-07-30_final
2021-08-05 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2021-08-05_final
2021-09-07 11:33:28	ga_s2am_ard_3-2-1_51KWS_2021-09-07_final
2021-10-14 11:23:55	ga_s2am_ard_3-2-1_52KBV_2021-10-14_final
2021-11-04 10:55:50	ga_s2am_ard_3-2-1_52JFM_2021-11-04_final
2021-11-26 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-11-26_final
2021-11-30 11:13:33	ga_s2am_ard_3-2-1_52KDA_2021-11-30_final
2021-12-25 10:26:34	ga_s2am_ard_3-2-1_53HQC_2021-12-25_final
2021-12-29 11:42:47	ga_s2am_ard_3-2-1_51KUV_2021-12-29_final
2021-12-29 11:43:24	ga_s2am_ard_3-2-1_51KTT_2021-12-29_final
2022-01-07 10:34:15	ga_s2am_ard_3-2-1_53JNN_2022-01-07_final
2022-02-11 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2022-02-11_final
2022-03-15 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-03-15_final
2022-03-16 11:33:01	ga_s2am_ard_3-2-1_51KWU_2022-03-16_final
2022-06-04 11:34:18	ga_s2am_ard_3-2-1_51KWP_2022-06-04_final
2022-06-09 10:44:29	ga_s2am_ard_3-2-1_53JNM_2022-06-09_final
2022-06-11 11:23:59	ga_s2am_ard_3-2-1_51KZQ_2022-06-11_final
2022-06-19 10:46:36	ga_s2am_ard_3-2-1_53HLD_2022-06-19_final
2022-06-21 11:23:08	ga_s2am_ard_3-2-1_51KYU_2022-06-21_final
2022-07-31 11:23:10	ga_s2am_ard_3-2-1_51KXU_2022-07-31_final
2022-09-13 11:03:45	ga_s2am_ard_3-2-1_52KEA_2022-09-13_final.stac-item
2022-09-19 11:23:04	ga_s2am_ard_3-2-1_51KYU_2022-09-19_final.stac-item
2022-09-24 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-09-24_final.stac-item
2022-10-09 11:23:31	ga_s2am_ard_3-2-1_51KYS_2022-10-09_final.stac-item
2022-12-06 10:45:58	ga_s2am_ard_3-2-1_53JKF_2022-12-06_final.stac-item
2022-12-12 11:06:18	ga_s2am_ard_3-2-1_52HDK_2022-12-12_final.stac-item
2022-12-31 11:31:28	ga_s2am_ard_3-2-1_52LBJ_2022-12-31_final.stac-item
2023-01-20 11:33:40	ga_s2am_ard_3-2-1_51KVR_2023-01-20_final.stac-item
2023-01-30 11:32:05	ga_s2am_ard_3-2-1_51KYB_2023-01-30_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-03-06 10:45:43	ga_s2am_ard_3-2-1_52JGM_2023-03-06_final.stac-item
2023-03-11 11:33:08	ga_s2am_ard_3-2-1_51KWT_2023-03-11_final.stac-item
2023-04-23 11:43:24	ga_s2am_ard_3-2-1_51KVS_2023-04-23_final.stac-item
2023-05-02 10:34:14	ga_s2am_ard_3-2-1_53JNN_2023-05-02_final.stac-item
2023-10-09 10:34:25	ga_s2am_ard_3-2-1_53JNM_2023-10-09_final.stac-item
2023-10-20 11:43:15	ga_s2am_ard_3-2-1_51KUT_2023-10-20_final.stac-item
2023-12-17 11:00:26	ga_s2am_ard_3-2-1_52LHN_2023-12-17_final.stac-item
2023-12-26 11:32:58	ga_s2am_ard_3-2-1_51KVU_2023-12-26_final.stac-item
2024-02-08 11:12:28	ga_s2am_ard_3-2-1_52KEE_2024-02-08_final.stac-item
2024-02-11 11:23:36	ga_s2am_ard_3-2-1_51KYR_2024-02-11_final.stac-item
2024-04-12 10:55:50	ga_s2am_ard_3-2-1_52JEM_2024-04-12_final.stac-item
2024-04-14 11:33:25	ga_s2am_ard_3-2-1_51KXS_2024-04-14_final.stac-item
2024-04-15 11:03:37	ga_s2am_ard_3-2-1_52KEA_2024-04-15_final.stac-item
2024-04-17 11:42:16	ga_s2am_ard_3-2-1_51KVB_2024-04-17_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