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
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCN_2016-01-11_final.stac-item
2016-05-26 09:52:48	ga_s2am_ard_3-2-1_54HXF_2016-05-26_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52JBP_2016-05-30_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_53JMN_2016-06-03_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGN_2016-06-04_final.stac-item
2016-07-11 11:56:11	ga_s2am_ard_3-2-1_50JKM_2016-07-11_final.stac-item
2016-09-24 11:03:54	ga_s2am_ard_3-2-1_52JDT_2016-09-24_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52HCK_2016-11-16_final.stac-item
2016-12-30 10:48:09	ga_s2am_ard_3-2-1_53LLF_2016-12-30_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51LZE_2017-01-01_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50KPV_2017-02-13_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JUG_2017-03-19_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JPL_2017-05-24_final
2017-05-26 10:37:30	ga_s2am_ard_3-2-1_53KNA_2017-05-26_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_53JKJ_2017-06-28_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGK_2017-09-17_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KTU_2017-09-21_final
2017-12-25 10:53:09	ga_s2am_ard_3-2-1_53JKK_2017-12-25_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JWF_2018-02-22_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51JZN_2018-05-03_final
2018-06-03 10:47:26	ga_s2am_ard_3-2-1_52JGN_2018-06-03_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JLS_2018-06-04_final
2018-06-13 10:47:24	ga_s2am_ard_3-2-1_53LPG_2018-06-13_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_50KMB_2018-06-14_final
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52JER_2018-06-16_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JCQ_2018-06-19_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52JBP_2018-08-08_final
2018-08-24 11:26:19	ga_s2am_ard_3-2-1_51KXV_2018-08-24_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51JVF_2018-08-24_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53KPQ_2018-11-04_final
2018-12-07 10:45:47	ga_s2am_ard_3-2-1_53JLF_2018-12-07_final
2018-12-12 11:31:45	ga_s2am_ard_3-2-1_51LYC_2018-12-12_final
2018-12-21 10:24:57	ga_s2am_ard_3-2-1_53JQJ_2018-12-21_final
2018-12-26 11:11:12	ga_s2am_ard_3-2-1_52LEK_2018-12-26_final.stac-item
2019-01-18 11:22:56	ga_s2am_ard_3-2-1_51KXU_2019-01-18_final
2019-02-26 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-02-26_final
2019-04-06 10:46:22	ga_s2am_ard_3-2-1_53HMD_2019-04-06_final
2019-04-20 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-04-20_final
2019-06-02 12:14:21	ga_s2am_ard_3-2-1_50KKU_2019-06-02_final
2019-06-24 11:13:52	ga_s2am_ard_3-2-1_52KDV_2019-06-24_final
2019-08-13 11:11:40	ga_s2am_ard_3-2-1_52LDJ_2019-08-13_final
2019-10-09 11:02:47	ga_s2am_ard_3-2-1_52KGD_2019-10-09_final
2019-11-08 11:04:21	ga_s2am_ard_3-2-1_52JET_2019-11-08_final
2019-12-24 11:25:36	ga_s2am_ard_3-2-1_51JWH_2019-12-24_final
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_49JHN_2019-12-26_final
2020-02-22 11:22:53	ga_s2am_ard_3-2-1_51KYU_2020-02-22_final
2020-03-07 11:02:54	ga_s2am_ard_3-2-1_52KGC_2020-03-07_final
2020-03-30 11:15:14	ga_s2am_ard_3-2-1_52JCP_2020-03-30_final
2020-04-02 11:22:08	ga_s2am_ard_3-2-1_51KYB_2020-04-02_final
2020-05-08 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-05-08_final
2020-05-24 12:04:12	ga_s2am_ard_3-2-1_50KKA_2020-05-24_final
2020-06-01 11:24:08	ga_s2am_ard_3-2-1_51KXQ_2020-06-01_final
2020-09-15 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2020-09-15_final
2020-10-15 10:06:52	ga_s2am_ard_3-2-1_54HVG_2020-10-15_final
2020-10-16 11:13:13	ga_s2am_ard_3-2-1_52KCC_2020-10-16_final
2020-10-31 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-10-31_final
2020-12-27 11:56:13	ga_s2am_ard_3-2-1_50JKM_2020-12-27_final
2021-01-20 11:34:15	ga_s2am_ard_3-2-1_51KVP_2021-01-20_final
2021-02-07 10:50:47	ga_s2am_ard_3-2-1_53LLG_2021-02-07_final
2021-02-09 11:32:36	ga_s2am_ard_3-2-1_51KYV_2021-02-09_final
2021-02-10 11:04:05	ga_s2am_ard_3-2-1_52KDU_2021-02-10_final
2021-02-26 09:47:44	ga_s2am_ard_3-2-1_54HYC_2021-02-26_final
2021-03-01 11:33:02	ga_s2am_ard_3-2-1_51KYT_2021-03-01_final
2021-03-08 11:25:52	ga_s2am_ard_3-2-1_51JXG_2021-03-08_final
2021-04-01 11:00:33	ga_s2am_ard_3-2-1_53LMG_2021-04-01_final
2021-05-15 10:43:33	ga_s2am_ard_3-2-1_53KPQ_2021-05-15_final
2021-06-07 10:55:28	ga_s2am_ard_3-2-1_52JGN_2021-06-07_final
2021-06-10 11:04:36	ga_s2am_ard_3-2-1_52JGR_2021-06-10_final
2021-08-20 10:33:37	ga_s2am_ard_3-2-1_53KQQ_2021-08-20_final
2021-10-21 11:13:10	ga_s2am_ard_3-2-1_52KDC_2021-10-21_final
2021-10-29 10:35:53	ga_s2am_ard_3-2-1_53JPF_2021-10-29_final
2021-11-11 10:42:15	ga_s2am_ard_3-2-1_53KRV_2021-11-11_final
2021-11-11 10:42:34	ga_s2am_ard_3-2-1_53KQU_2021-11-11_final
2021-12-03 11:23:20	ga_s2am_ard_3-2-1_52KBB_2021-12-03_final
2022-01-23 10:55:31	ga_s2am_ard_3-2-1_52JFN_2022-01-23_final
2022-02-24 11:33:18	ga_s2am_ard_3-2-1_51KVT_2022-02-24_final
2022-03-09 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-03-09_final
2022-04-04 10:26:46	ga_s2am_ard_3-2-1_54HTG_2022-04-04_final
2022-05-24 12:06:11	ga_s2am_ard_3-2-1_50JLM_2022-05-24_final
2022-10-28 11:56:17	ga_s2am_ard_3-2-1_50JKM_2022-10-28_final.stac-item
2022-11-10 12:05:59	ga_s2am_ard_3-2-1_50JKN_2022-11-10_final.stac-item
2022-11-13 10:35:18	ga_s2am_ard_3-2-1_53JMJ_2022-11-13_final.stac-item
2022-12-23 10:33:10	ga_s2am_ard_3-2-1_53KPS_2022-12-23_final.stac-item
2022-12-26 10:41:53	ga_s2am_ard_3-2-1_53KNB_2022-12-26_final.stac-item
2022-12-29 10:50:46	ga_s2am_ard_3-2-1_53LLG_2022-12-29_final.stac-item
2022-12-29 10:52:22	ga_s2am_ard_3-2-1_53KMV_2022-12-29_final.stac-item
2023-01-18 10:55:34	ga_s2am_ard_3-2-1_53JKG_2023-01-18_final.stac-item
2023-02-11 10:32:17	ga_s2am_ard_3-2-1_53KRV_2023-02-11_final.stac-item
2023-06-07 10:54:51	ga_s2am_ard_3-2-1_52JFR_2023-06-07_final.stac-item
2023-07-16 11:25:48	ga_s2am_ard_3-2-1_51JXH_2023-07-16_final.stac-item
2023-08-02 11:11:42	ga_s2am_ard_3-2-1_52LDJ_2023-08-02_final.stac-item
2023-08-05 11:24:24	ga_s2am_ard_3-2-1_51JZN_2023-08-05_final.stac-item
2023-08-25 11:26:53	ga_s2am_ard_3-2-1_51HUD_2023-08-25_final.stac-item
2023-09-17 11:34:14	ga_s2am_ard_3-2-1_51KWP_2023-09-17_final.stac-item
2023-10-13 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-10-13_final.stac-item
2023-10-19 10:34:25	ga_s2am_ard_3-2-1_53JNM_2023-10-19_final.stac-item
2023-12-13 11:23:35	ga_s2am_ard_3-2-1_51KYR_2023-12-13_final.stac-item
2024-01-01 10:17:34	ga_s2am_ard_3-2-1_54HVC_2024-01-01_final.stac-item
2024-01-18 11:42:00	ga_s2am_ard_3-2-1_51KWB_2024-01-18_final.stac-item
2024-01-20 10:41:55	ga_s2am_ard_3-2-1_53KQA_2024-01-20_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