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
2016-01-18 11:02:07	ga_s2am_ard_3-2-1_52KFB_2016-01-18_final.stac-item
2016-03-09 10:31:56	ga_s2am_ard_3-2-1_53KRA_2016-03-09_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JGM_2016-03-15_final.stac-item
2016-04-07 11:02:08	ga_s2am_ard_3-2-1_52JET_2016-04-07_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JMM_2016-04-29_final.stac-item
2016-05-28 10:28:07	ga_s2am_ard_3-2-1_54JTT_2016-05-28_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLS_2016-06-04_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_52KCB_2016-07-02_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54KYU_2016-07-11_final.stac-item
2016-09-05 10:28:01	ga_s2am_ard_3-2-1_54LXP_2016-09-05_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53KQR_2016-09-28_final.stac-item
2016-11-01 10:17:53	ga_s2am_ard_3-2-1_54LZK_2016-11-01_final.stac-item
2017-01-13 10:27:49	ga_s2am_ard_3-2-1_53KQT_2017-01-13_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final
2017-04-10 10:23:05	ga_s2am_ard_3-2-1_53HNC_2017-04-10_final
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KUT_2017-05-11_final
2017-05-14 10:01:19	ga_s2am_ard_3-2-1_54KYU_2017-05-14_final
2017-06-11 09:26:48	ga_s2am_ard_3-2-1_55GEN_2017-06-10_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JQJ_2017-06-22_final
2017-11-17 09:54:36	ga_s2am_ard_3-2-1_54HXF_2017-11-17_final
2017-11-19 10:28:06	ga_s2am_ard_3-2-1_54KTG_2017-11-19_final
2018-01-21 10:37:21	ga_s2am_ard_3-2-1_53KRV_2018-01-21_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HQJ_2018-02-08_final
2018-04-16 09:50:55	ga_s2am_ard_3-2-1_55HBS_2018-04-16_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KBC_2018-06-12_final
2018-08-03 10:17:06	ga_s2am_ard_3-2-1_53HPB_2018-08-03_final
2018-11-28 10:16:12	ga_s2am_ard_3-2-1_54HTJ_2018-11-28_final
2018-12-12 11:37:13	ga_s2am_ard_3-2-1_50HPG_2018-12-12_final.stac-item
2018-12-15 10:07:28	ga_s2am_ard_3-2-1_54HXC_2018-12-15_final
2019-01-02 11:03:29	ga_s2am_ard_3-2-1_52KEA_2019-01-02_final
2019-01-10 10:23:59	ga_s2am_ard_3-2-1_53JRN_2019-01-10_final
2019-02-12 10:34:10	ga_s2am_ard_3-2-1_53JNN_2019-02-12_final
2019-02-16 10:11:58	ga_s2am_ard_3-2-1_54KXF_2019-02-16_final
2019-03-08 10:11:18	ga_s2am_ard_3-2-1_54LZH_2019-03-08_final
2019-03-30 10:55:49	ga_s2am_ard_3-2-1_52JEM_2019-03-30_final
2019-04-07 10:17:27	ga_s2am_ard_3-2-1_54HVD_2019-04-07_final
2019-04-10 10:24:32	ga_s2am_ard_3-2-1_54JUR_2019-04-10_final
2019-05-17 10:17:04	ga_s2am_ard_3-2-1_54HUF_2019-05-17_final
2019-05-26 10:44:31	ga_s2am_ard_3-2-1_53JPL_2019-05-26_final
2019-06-05 10:41:45	ga_s2am_ard_3-2-1_54KTG_2019-06-05_final
2019-06-30 11:32:05	ga_s2am_ard_3-2-1_51LWC_2019-06-30_final
2019-09-07 10:20:53	ga_s2am_ard_3-2-1_54LYK_2019-09-07_final
2019-09-16 10:54:32	ga_s2am_ard_3-2-1_52JFS_2019-09-16_final
2019-10-05 09:45:53	ga_s2am_ard_3-2-1_55HDE_2019-10-05_final
2019-10-10 10:35:17	ga_s2am_ard_3-2-1_53JMJ_2019-10-10_final
2019-10-18 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-10-18_final
2019-10-25 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-10-25_final
2020-03-03 11:22:18	ga_s2am_ard_3-2-1_52KBF_2020-03-03_final
2020-03-04 10:53:17	ga_s2am_ard_3-2-1_53KMR_2020-03-04_final
2020-03-11 10:44:44	ga_s2am_ard_3-2-1_53JKL_2020-03-11_final
2020-03-19 11:42:42	ga_s2am_ard_3-2-1_51KUV_2020-03-19_final
2020-05-12 09:46:21	ga_s2am_ard_3-2-1_55HEC_2020-05-12_final
2020-05-14 12:04:12	ga_s2am_ard_3-2-1_50KKV_2020-05-14_final.stac-item
2020-06-23 10:26:46	ga_s2am_ard_3-2-1_53HNC_2020-06-23_final
2020-08-09 10:15:53	ga_s2am_ard_3-2-1_54JUL_2020-08-09_final
2020-08-09 11:55:19	ga_s2am_ard_3-2-1_50JLR_2020-08-09_final
2020-08-20 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2020-08-20_final
2020-10-16 11:13:28	ga_s2am_ard_3-2-1_52KCB_2020-10-16_final
2020-11-21 11:32:28	ga_s2am_ard_3-2-1_51KXA_2020-11-21_final
2020-11-25 09:38:54	ga_s2am_ard_3-2-1_55GCN_2020-11-25_final
2020-12-15 11:13:11	ga_s2am_ard_3-2-1_52KBC_2020-12-15_final
2020-12-24 11:42:27	ga_s2am_ard_3-2-1_51KVA_2020-12-24_final
2021-03-02 09:28:49	ga_s2am_ard_3-2-1_55GEN_2021-03-01_final
2021-03-28 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2021-03-28_final
2021-05-08 10:52:51	ga_s2am_ard_3-2-1_53KMT_2021-05-08_final
2021-09-12 10:46:06	ga_s2am_ard_3-2-1_53HME_2021-09-12_final
2021-09-14 09:47:59	ga_s2am_ard_3-2-1_55GER_2021-09-14_final
2021-11-22 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-11-22_final
2021-12-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-12_final
2022-04-19 11:13:26	ga_s2am_ard_3-2-1_52KCB_2022-04-19_final
2022-05-17 10:33:36	ga_s2am_ard_3-2-1_53KRQ_2022-05-17_final
2022-06-13 10:26:50	ga_s2am_ard_3-2-1_53HNC_2022-06-13_final
2022-08-01 10:55:41	ga_s2am_ard_3-2-1_52JFN_2022-08-01_final
2022-08-13 11:33:14	ga_s2am_ard_3-2-1_51KYT_2022-08-13_final
2022-09-12 09:58:15	ga_s2am_ard_3-2-1_55GBR_2022-09-12_final.stac-item
2022-09-22 11:36:35	ga_s2am_ard_3-2-1_51HUE_2022-09-22_final.stac-item
2022-10-03 09:28:36	ga_s2am_ard_3-2-1_55GFP_2022-10-02_final.stac-item
2022-10-05 10:05:30	ga_s2am_ard_3-2-1_54JYM_2022-10-05_final.stac-item
2022-11-14 11:43:54	ga_s2am_ard_3-2-1_50KQA_2022-11-14_final.stac-item
2022-12-20 10:24:44	ga_s2am_ard_3-2-1_54JUQ_2022-12-20_final.stac-item
2022-12-22 09:28:14	ga_s2am_ard_3-2-1_55GFQ_2022-12-21_final.stac-item
2023-01-24 11:13:25	ga_s2am_ard_3-2-1_51KZS_2023-01-24_final.stac-item
2023-01-31 09:28:28	ga_s2am_ard_3-2-1_55GFP_2023-01-30_final.stac-item
2023-02-01 10:36:23	ga_s2am_ard_3-2-1_53HMD_2023-02-01_final.stac-item
2023-03-16 10:45:52	ga_s2am_ard_3-2-1_53JLF_2023-03-16_final.stac-item
2023-03-28 09:47:17	ga_s2am_ard_3-2-1_55HCU_2023-03-28_final.stac-item
2023-04-15 10:45:18	ga_s2am_ard_3-2-1_53JNH_2023-04-15_final.stac-item
2023-04-24 09:38:40	ga_s2am_ard_3-2-1_55GFN_2023-04-24_final.stac-item
2023-05-04 11:14:21	ga_s2am_ard_3-2-1_52JCT_2023-05-04_final.stac-item
2023-05-29 10:27:05	ga_s2am_ard_3-2-1_53HQA_2023-05-29_final.stac-item
2023-06-02 11:43:47	ga_s2am_ard_3-2-1_51KUR_2023-06-02_final.stac-item
2023-06-28 10:20:25	ga_s2am_ard_3-2-1_54LZM_2023-06-28_final.stac-item
2023-07-18 10:21:08	ga_s2am_ard_3-2-1_54LZJ_2023-07-18_final.stac-item
2023-08-08 11:34:15	ga_s2am_ard_3-2-1_51KWP_2023-08-08_final.stac-item
2023-08-25 11:23:41	ga_s2am_ard_3-2-1_52KBA_2023-08-25_final.stac-item
2023-09-10 11:42:00	ga_s2am_ard_3-2-1_51LWC_2023-09-10_final.stac-item
2023-11-13 09:48:34	ga_s2am_ard_3-2-1_55GCP_2023-11-13_final.stac-item
2023-11-20 11:16:34	ga_s2am_ard_3-2-1_51HYD_2023-11-20_final.stac-item
2023-12-24 10:52:55	ga_s2am_ard_3-2-1_53KKT_2023-12-24_final.stac-item
2024-02-28 11:11:33	ga_s2am_ard_3-2-1_52LEJ_2024-02-28_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