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_51LZD_2015-12-25_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQH_2016-04-06_final.stac-item
2016-04-28 12:14:45	ga_s2am_ard_3-2-1_49JGN_2016-04-28_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JUM_2016-06-25_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JGQ_2016-09-01_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_52JGN_2016-09-01_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51KWP_2016-10-30_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KGV_2016-12-23_final
2017-01-19 10:52:06	ga_s2am_ard_3-2-1_52KHA_2017-01-19_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUQ_2017-01-24_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KFE_2017-02-04_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KBA_2017-04-15_final
2017-06-06 10:15:55	ga_s2am_ard_3-2-1_53HQB_2017-06-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HQK_2017-12-10_final
2017-12-28 11:02:45	ga_s2am_ard_3-2-1_52KGV_2017-12-28_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYL_2017-12-31_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KDE_2018-01-10_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMH_2018-02-21_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JYJ_2018-02-22_final
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51HWD_2018-04-10_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_52KBC_2018-05-13_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKT_2018-05-15_final
2018-05-27 11:04:30	ga_s2am_ard_3-2-1_52JER_2018-05-27_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JPM_2018-09-06_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMK_2018-09-06_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVK_2018-09-30_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXF_2018-10-07_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JDM_2018-11-03_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JGS_2018-11-03_final
2018-11-20 10:55:03	ga_s2am_ard_3-2-1_53JKJ_2018-11-20_final
2018-11-24 10:35:59	ga_s2am_ard_3-2-1_53HNE_2018-11-24_final
2019-01-17 11:54:09	ga_s2am_ard_3-2-1_50KQU_2019-01-17_final
2019-01-28 11:21:51	ga_s2am_ard_3-2-1_51LZC_2019-01-28_final
2019-03-15 11:42:05	ga_s2am_ard_3-2-1_51KWB_2019-03-15_final
2019-03-24 10:36:57	ga_s2am_ard_3-2-1_53HPA_2019-03-24_final
2019-06-08 10:56:06	ga_s2am_ard_3-2-1_52JEL_2019-06-08_final
2019-06-20 11:33:49	ga_s2am_ard_3-2-1_51KVR_2019-06-20_final
2019-07-03 11:46:07	ga_s2am_ard_3-2-1_51JTG_2019-07-03_final
2019-07-14 11:16:13	ga_s2am_ard_3-2-1_51JYF_2019-07-14_final
2019-07-20 11:33:50	ga_s2am_ard_3-2-1_51KVR_2019-07-20_final
2019-08-06 11:25:49	ga_s2am_ard_3-2-1_51JYG_2019-08-06_final
2019-08-07 10:56:04	ga_s2am_ard_3-2-1_52JFL_2019-08-07_final
2019-08-11 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-08-11_final
2019-09-27 12:04:00	ga_s2am_ard_3-2-1_50KKA_2019-09-27_final
2019-10-26 10:52:34	ga_s2am_ard_3-2-1_52KHE_2019-10-26_final
2019-12-02 10:45:46	ga_s2am_ard_3-2-1_52JGM_2019-12-02_final
2019-12-04 11:24:53	ga_s2am_ard_3-2-1_51JXL_2019-12-04_final
2019-12-08 11:05:31	ga_s2am_ard_3-2-1_52JDN_2019-12-08_final
2020-02-27 10:36:45	ga_s2am_ard_3-2-1_53HNB_2020-02-27_final
2020-03-26 11:32:51	ga_s2am_ard_3-2-1_51KXU_2020-03-26_final
2020-04-03 10:56:00	ga_s2am_ard_3-2-1_52JEL_2020-04-03_final
2020-05-29 11:13:10	ga_s2am_ard_3-2-1_52KDC_2020-05-29_final
2020-07-28 11:14:14	ga_s2am_ard_3-2-1_52KBU_2020-07-28_final
2020-11-10 10:26:45	ga_s2am_ard_3-2-1_53HNC_2020-11-10_final
2021-01-07 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-01-07_final
2021-01-09 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-01-09_final
2021-02-05 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-02-05_final
2021-04-03 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2021-04-03_final
2021-04-07 11:23:02	ga_s2am_ard_3-2-1_52KBC_2021-04-07_final
2021-04-24 11:13:44	ga_s2am_ard_3-2-1_52KDV_2021-04-24_final
2021-05-01 11:06:21	ga_s2am_ard_3-2-1_52HBK_2021-05-01_final
2021-05-08 10:55:45	ga_s2am_ard_3-2-1_52JFM_2021-05-08_final
2021-05-24 11:13:52	ga_s2am_ard_3-2-1_52KCV_2021-05-24_final
2021-05-24 11:15:08	ga_s2am_ard_3-2-1_52JBQ_2021-05-24_final
2021-05-30 11:34:59	ga_s2am_ard_3-2-1_51JVL_2021-05-30_final
2021-08-08 11:32:28	ga_s2am_ard_3-2-1_51KXA_2021-08-08_final
2021-08-10 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-08-10_final
2021-11-10 11:14:58	ga_s2am_ard_3-2-1_51JYL_2021-11-10_final
2021-11-13 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-11-13_final
2022-01-15 11:32:12	ga_s2am_ard_3-2-1_51KXB_2022-01-15_final
2022-03-05 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2022-03-05_final
2022-04-09 11:16:24	ga_s2am_ard_3-2-1_51HWE_2022-04-09_final
2022-05-05 11:36:15	ga_s2am_ard_3-2-1_51JVF_2022-05-05_final
2022-07-04 11:33:22	ga_s2am_ard_3-2-1_51KXT_2022-07-04_final
2022-07-11 11:23:09	ga_s2am_ard_3-2-1_51KYU_2022-07-11_final
2022-08-17 11:15:52	ga_s2am_ard_3-2-1_52JBN_2022-08-17_final
2022-09-26 12:51:06	ga_s2am_ard_3-2-1_48LXP_2022-09-26_interim.stac-item
2022-10-11 12:05:43	ga_s2am_ard_3-2-1_50JLP_2022-10-11_final.stac-item
2022-11-16 10:46:02	ga_s2am_ard_3-2-1_52JGL_2022-11-16_final.stac-item
2022-11-28 11:25:16	ga_s2am_ard_3-2-1_51JVK_2022-11-28_final.stac-item
2022-12-15 11:12:42	ga_s2am_ard_3-2-1_52KFD_2022-12-15_final.stac-item
2022-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-20_final.stac-item
2023-01-04 11:12:52	ga_s2am_ard_3-2-1_52KCD_2023-01-04_final.stac-item
2023-01-26 11:55:32	ga_s2am_ard_3-2-1_50JNP_2023-01-26_final.stac-item
2023-04-12 10:36:34	ga_s2am_ard_3-2-1_53HPC_2023-04-12_final.stac-item
2023-04-14 11:11:48	ga_s2am_ard_3-2-1_52LEH_2023-04-14_final.stac-item
2023-05-06 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2023-05-06_final.stac-item
2023-05-14 11:16:06	ga_s2am_ard_3-2-1_52JBL_2023-05-14_final.stac-item
2023-06-03 11:16:34	ga_s2am_ard_3-2-1_51HWE_2023-06-03_final.stac-item
2023-07-13 11:14:22	ga_s2am_ard_3-2-1_52JDT_2023-07-13_final.stac-item
2023-08-05 11:21:55	ga_s2am_ard_3-2-1_52LCH_2023-08-05_final.stac-item
2023-08-11 11:46:15	ga_s2am_ard_3-2-1_50JQL_2023-08-11_final.stac-item
2023-08-30 10:36:16	ga_s2am_ard_3-2-1_53HME_2023-08-30_final.stac-item
2023-12-11 10:45:36	ga_s2am_ard_3-2-1_53JKG_2023-12-11_final.stac-item
2024-01-07 12:13:58	ga_s2am_ard_3-2-1_49KFR_2024-01-07_nrt.stac-item
2024-02-05 11:00:26	ga_s2am_ard_3-2-1_52LHN_2024-02-05_final.stac-item
2024-02-12 10:54:18	ga_s2am_ard_3-2-1_52JFT_2024-02-12_final.stac-item
2024-03-08 11:43:18	ga_s2am_ard_3-2-1_51KTT_2024-03-08_final.stac-item
2024-03-15 11:37:02	ga_s2am_ard_3-2-1_50HQH_2024-03-15_final.stac-item
2024-04-02 10:55:47	ga_s2am_ard_3-2-1_52JEM_2024-04-02_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