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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51LZE_2015-12-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KWR_2016-01-07_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JKS_2016-05-25_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JHS_2016-07-23_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51KVQ_2016-08-04_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KMB_2016-12-21_final
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JGL_2017-01-09_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JLS_2017-02-09_final
2017-02-22 12:15:07	ga_s2am_ard_3-2-1_49JGK_2017-02-22_final
2017-03-22 11:35:56	ga_s2am_ard_3-2-1_51HUE_2017-03-22_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGN_2017-06-28_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_51HYD_2017-07-11_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KVS_2017-07-23_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KWQ_2017-08-06_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_50KKA_2017-08-21_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-10-10_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JZM_2018-01-13_final
2018-01-20 11:07:06	ga_s2am_ard_3-2-1_52KDG_2018-01-20_final
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_51JYH_2018-03-11_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JLN_2018-03-16_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGK_2018-03-26_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_52JBT_2018-04-23_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52JDL_2018-05-07_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUP_2018-05-26_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KXQ_2018-06-15_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JMM_2018-07-18_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JCM_2018-10-27_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JCN_2018-11-03_final
2018-11-06 11:16:18	ga_s2am_ard_3-2-1_51HYE_2018-11-06_final
2018-11-12 11:36:33	ga_s2am_ard_3-2-1_50HPK_2018-11-12_final
2018-12-02 11:36:49	ga_s2am_ard_3-2-1_51HUC_2018-12-02_final
2018-12-06 11:16:14	ga_s2am_ard_3-2-1_51HYE_2018-12-06_final
2019-03-25 11:42:26	ga_s2am_ard_3-2-1_51KVA_2019-03-25_final
2019-03-29 11:26:58	ga_s2am_ard_3-2-1_51HVC_2019-03-29_final
2019-06-17 11:25:09	ga_s2am_ard_3-2-1_51JYK_2019-06-17_final
2019-09-18 11:32:19	ga_s2am_ard_3-2-1_51KVB_2019-09-18_final
2019-09-28 11:33:28	ga_s2am_ard_3-2-1_51KWS_2019-09-28_final
2019-10-31 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-10-31_final
2019-11-20 11:44:42	ga_s2am_ard_3-2-1_51JUM_2019-11-20_final
2019-11-30 11:42:27	ga_s2am_ard_3-2-1_51KVA_2019-11-30_final
2020-01-22 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-01-22_final
2020-01-22 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-22_final
2020-01-26 11:34:04	ga_s2am_ard_3-2-1_51KWP_2020-01-26_final
2020-02-11 11:55:14	ga_s2am_ard_3-2-1_50JNQ_2020-02-11_final
2020-02-21 11:55:41	ga_s2am_ard_3-2-1_50JKP_2020-02-21_final
2020-03-29 11:46:09	ga_s2am_ard_3-2-1_50JMM_2020-03-29_final
2020-04-28 11:43:20	ga_s2am_ard_3-2-1_51KTT_2020-04-28_final
2020-07-01 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-07-01_final
2020-07-31 11:23:45	ga_s2am_ard_3-2-1_51KYR_2020-07-31_final
2020-09-16 11:15:26	ga_s2am_ard_3-2-1_52JBP_2020-09-16_final
2020-10-09 11:23:55	ga_s2am_ard_3-2-1_52KBV_2020-10-09_final
2020-11-05 11:14:10	ga_s2am_ard_3-2-1_52KCU_2020-11-05_final
2020-11-18 11:25:09	ga_s2am_ard_3-2-1_51JYK_2020-11-18_final
2021-01-31 11:04:50	ga_s2am_ard_3-2-1_52JDR_2021-01-31_final
2021-02-02 11:45:32	ga_s2am_ard_3-2-1_50JQP_2021-02-02_final
2021-02-05 11:55:38	ga_s2am_ard_3-2-1_50JMP_2021-02-05_final
2021-02-16 11:26:04	ga_s2am_ard_3-2-1_51JUG_2021-02-16_final
2021-03-02 11:06:24	ga_s2am_ard_3-2-1_52HBK_2021-03-02_final
2021-03-12 11:04:43	ga_s2am_ard_3-2-1_52JFR_2021-03-12_final
2021-03-18 11:23:42	ga_s2am_ard_3-2-1_51KXR_2021-03-18_final
2021-03-18 11:26:17	ga_s2am_ard_3-2-1_51JUF_2021-03-18_final
2021-04-12 12:13:49	ga_s2am_ard_3-2-1_49KHR_2021-04-12_final
2021-05-03 11:44:47	ga_s2am_ard_3-2-1_50JQS_2021-05-03_final
2021-05-04 11:16:24	ga_s2am_ard_3-2-1_51HXE_2021-05-04_final
2021-05-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-05-29_final
2021-06-09 11:33:39	ga_s2am_ard_3-2-1_51KXR_2021-06-09_final
2021-06-13 11:13:37	ga_s2am_ard_3-2-1_52KCA_2021-06-13_final
2021-08-31 11:46:24	ga_s2am_ard_3-2-1_50JNL_2021-08-31_final
2021-11-06 11:36:32	ga_s2am_ard_3-2-1_51HUE_2021-11-06_final
2021-11-24 10:55:35	ga_s2am_ard_3-2-1_52JEN_2021-11-24_final
2022-01-31 11:56:14	ga_s2am_ard_3-2-1_50JKM_2022-01-31_final
2022-03-25 12:06:12	ga_s2am_ard_3-2-1_50JKM_2022-03-25_final
2022-05-29 11:14:16	ga_s2am_ard_3-2-1_51KZP_2022-05-29_final
2022-05-29 11:14:24	ga_s2am_ard_3-2-1_52JDT_2022-05-29_final
2022-06-11 11:24:11	ga_s2am_ard_3-2-1_51KWQ_2022-06-11_final
2022-07-30 11:54:06	ga_s2am_ard_3-2-1_50KMA_2022-07-30_final
2022-08-20 11:26:05	ga_s2am_ard_3-2-1_51JXG_2022-08-20_final
2022-09-05 11:46:06	ga_s2am_ard_3-2-1_50JNN_2022-09-05_final.stac-item
2022-11-02 11:06:02	ga_s2am_ard_3-2-1_52JBM_2022-11-02_final.stac-item
2022-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2022-11-11_final.stac-item
2022-11-17 13:31:35	ga_s2am_ard_3-2-1_47LKH_2022-11-17_interim.stac-item
2022-11-21 11:33:35	ga_s2am_ard_3-2-1_51KUS_2022-11-21_final.stac-item
2023-01-07 11:23:34	ga_s2am_ard_3-2-1_51KZR_2023-01-07_final.stac-item
2023-01-14 11:12:14	ga_s2am_ard_3-2-1_52KEF_2023-01-14_final.stac-item
2023-01-26 11:55:03	ga_s2am_ard_3-2-1_50JNR_2023-01-26_final.stac-item
2023-03-25 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2023-03-25_nrt.stac-item
2023-03-28 11:21:09	ga_s2am_ard_3-2-1_51LZF_2023-03-28_nrt.stac-item
2023-05-24 11:13:43	ga_s2am_ard_3-2-1_51KZR_2023-05-24_final.stac-item
2023-07-06 11:22:57	ga_s2am_ard_3-2-1_51KZU_2023-07-06_final.stac-item
2023-07-06 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2023-07-06_final.stac-item
2023-08-02 11:15:12	ga_s2am_ard_3-2-1_52JBQ_2023-08-02_final.stac-item
2023-08-02 11:16:31	ga_s2am_ard_3-2-1_51HXE_2023-08-02_final.stac-item
2023-08-24 11:57:12	ga_s2am_ard_3-2-1_50HMH_2023-08-24_final.stac-item
2023-09-04 11:23:19	ga_s2am_ard_3-2-1_51KXT_2023-09-04_final.stac-item
2023-09-10 11:46:46	ga_s2am_ard_3-2-1_50HMK_2023-09-10_final.stac-item
2024-02-24 11:36:15	ga_s2am_ard_3-2-1_51JTF_2024-02-24_final.stac-item
2024-03-05 11:32:20	ga_s2am_ard_3-2-1_51KVB_2024-03-05_final.stac-item
2024-04-01 11:23:05	ga_s2am_ard_3-2-1_51KZT_2024-04-01_final.stac-item
2024-04-26 12:15:02	ga_s2am_ard_3-2-1_49JFM_2024-04-26_final.stac-item
2024-05-08 11:13:17	ga_s2am_ard_3-2-1_52KEB_2024-05-08_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