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
2016-01-16 10:22:37	ga_s2am_ard_3-2-1_54KYE_2016-01-16_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_54KUU_2016-01-29_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KXT_2016-04-06_final.stac-item
2016-04-29 10:05:56	ga_s2am_ard_3-2-1_54HYG_2016-04-29_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JMG_2016-06-17_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JVT_2016-07-24_final.stac-item
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KHF_2017-01-12_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LGH_2017-01-25_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JVJ_2017-04-21_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JNF_2017-06-22_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KXT_2017-07-10_final
2017-09-25 11:26:05	ga_s2am_ard_3-2-1_51HXE_2017-09-25_final
2017-12-08 11:02:31	ga_s2am_ard_3-2-1_52KEB_2017-12-08_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_52LCH_2018-02-12_final
2018-02-21 10:07:01	ga_s2am_ard_3-2-1_54HUF_2018-02-21_final
2018-02-27 10:32:29	ga_s2am_ard_3-2-1_53HPA_2018-02-27_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KYS_2018-03-04_final
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_53HNB_2018-03-29_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JQN_2018-04-09_final
2018-05-09 10:02:56	ga_s2am_ard_3-2-1_54HWE_2018-05-09_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPH_2018-09-26_final
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53JQL_2018-10-02_final
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_54JWM_2018-10-06_final
2018-12-15 10:07:06	ga_s2am_ard_3-2-1_54HYD_2018-12-15_final
2018-12-18 10:13:37	ga_s2am_ard_3-2-1_54JZT_2018-12-18_final
2019-03-17 10:45:44	ga_s2am_ard_3-2-1_52JGM_2019-03-17_final
2019-04-09 10:51:28	ga_s2am_ard_3-2-1_53LND_2019-04-09_final
2019-04-14 10:06:41	ga_s2am_ard_3-2-1_54HXG_2019-04-14_final
2019-04-19 10:50:59	ga_s2am_ard_3-2-1_53LMF_2019-04-19_final
2019-05-24 11:41:21	ga_s2am_ard_3-2-1_51LUF_2019-05-24_final
2019-09-22 11:13:14	ga_s2am_ard_3-2-1_52KBC_2019-09-22_final
2019-10-05 11:26:56	ga_s2am_ard_3-2-1_51HWC_2019-10-05_final.stac-item
2019-10-31 11:46:22	ga_s2am_ard_3-2-1_50JPL_2019-10-31_final
2019-12-06 10:26:34	ga_s2am_ard_3-2-1_53HPC_2019-12-06_final
2020-01-04 10:50:36	ga_s2am_ard_3-2-1_53LMG_2020-01-04_final
2020-01-12 10:13:14	ga_s2am_ard_3-2-1_54KZV_2020-01-12_final
2020-01-13 11:23:01	ga_s2am_ard_3-2-1_51KZT_2020-01-13_final
2020-01-26 11:33:41	ga_s2am_ard_3-2-1_51KUR_2020-01-26_final
2020-02-01 10:15:42	ga_s2am_ard_3-2-1_54HXK_2020-02-01_final
2020-02-21 10:16:58	ga_s2am_ard_3-2-1_54HWE_2020-02-21_final
2020-02-27 10:36:27	ga_s2am_ard_3-2-1_53HPC_2020-02-27_final
2020-03-09 11:43:07	ga_s2am_ard_3-2-1_51KVT_2020-03-09_final
2020-03-19 11:45:25	ga_s2am_ard_3-2-1_51JTJ_2020-03-19_final
2020-05-09 11:13:27	ga_s2am_ard_3-2-1_52KEB_2020-05-09_final
2020-08-20 11:25:40	ga_s2am_ard_3-2-1_51JYH_2020-08-20_final
2020-09-12 11:32:58	ga_s2am_ard_3-2-1_51KXU_2020-09-12_final
2020-09-26 11:15:27	ga_s2am_ard_3-2-1_52JBP_2020-09-26_final
2020-12-01 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2020-12-01_final
2020-12-03 10:34:28	ga_s2am_ard_3-2-1_54JTR_2020-12-03_final
2021-01-01 11:03:46	ga_s2am_ard_3-2-1_52KFV_2021-01-01_final
2021-01-05 10:44:21	ga_s2am_ard_3-2-1_53JNM_2021-01-05_final
2021-01-09 10:24:20	ga_s2am_ard_3-2-1_54JTS_2021-01-09_final
2021-01-21 11:03:23	ga_s2am_ard_3-2-1_52KHA_2021-01-21_final
2021-02-07 10:52:29	ga_s2am_ard_3-2-1_53KKV_2021-02-07_final
2021-02-13 11:10:24	ga_s2am_ard_3-2-1_52LHN_2021-02-13_final
2021-03-04 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-03-04_final
2021-04-07 09:48:05	ga_s2am_ard_3-2-1_54GYA_2021-04-07_final
2021-04-15 10:44:54	ga_s2am_ard_3-2-1_53JKK_2021-04-15_final
2021-05-02 10:34:41	ga_s2am_ard_3-2-1_54JTQ_2021-05-02_final
2021-07-08 10:26:47	ga_s2am_ard_3-2-1_54HTG_2021-07-08_final
2021-09-20 11:43:17	ga_s2am_ard_3-2-1_51KUT_2021-09-20_final
2021-09-24 11:23:13	ga_s2am_ard_3-2-1_51KYT_2021-09-24_final
2021-09-27 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2021-09-27_final
2021-09-28 11:03:53	ga_s2am_ard_3-2-1_52KEV_2021-09-28_final
2021-10-30 11:42:50	ga_s2am_ard_3-2-1_51KUV_2021-10-30_final
2021-11-07 11:01:59	ga_s2am_ard_3-2-1_53KKB_2021-11-07_final
2021-12-20 11:10:26	ga_s2am_ard_3-2-1_52LHN_2021-12-20_final
2022-01-24 10:23:50	ga_s2am_ard_3-2-1_53KRP_2022-01-24_final
2022-02-08 11:12:34	ga_s2am_ard_3-2-1_52KDE_2022-02-08_final
2022-02-23 10:23:27	ga_s2am_ard_3-2-1_54KWV_2022-02-23_final
2022-06-10 10:15:39	ga_s2am_ard_3-2-1_54JVM_2022-06-10_final
2022-06-11 11:23:59	ga_s2am_ard_3-2-1_51KZQ_2022-06-11_final
2022-06-17 11:44:49	ga_s2am_ard_3-2-1_50JPT_2022-06-17_final
2022-09-24 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-09-24_final.stac-item
2022-10-13 11:03:51	ga_s2am_ard_3-2-1_52KFV_2022-10-13_final.stac-item
2023-02-13 11:11:14	ga_s2am_ard_3-2-1_52LFK_2023-02-13_final.stac-item
2023-03-11 11:31:00	ga_s2am_ard_3-2-1_52LBL_2023-03-11_final.stac-item
2023-03-16 10:46:21	ga_s2am_ard_3-2-1_53HLD_2023-03-16_final.stac-item
2023-04-14 11:10:36	ga_s2am_ard_3-2-1_52LGM_2023-04-14_final.stac-item
2023-04-26 10:16:16	ga_s2am_ard_3-2-1_54HUJ_2023-04-26_final.stac-item
2023-04-30 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-04-30_final.stac-item
2023-05-02 10:34:14	ga_s2am_ard_3-2-1_53JNN_2023-05-02_final.stac-item
2023-05-26 10:15:53	ga_s2am_ard_3-2-1_54HXK_2023-05-26_final.stac-item
2023-05-29 10:23:53	ga_s2am_ard_3-2-1_54KTU_2023-05-29_final.stac-item
2023-07-05 10:14:22	ga_s2am_ard_3-2-1_54JVS_2023-07-05_final.stac-item
2023-07-23 11:14:33	ga_s2am_ard_3-2-1_51JYN_2023-07-23_final.stac-item
2023-07-26 11:23:15	ga_s2am_ard_3-2-1_51KYT_2023-07-26_final.stac-item
2023-08-12 11:15:58	ga_s2am_ard_3-2-1_51JYG_2023-08-12_final.stac-item
2023-08-17 12:04:48	ga_s2am_ard_3-2-1_50JKT_2023-08-17_final.stac-item
2023-09-14 11:24:19	ga_s2am_ard_3-2-1_51KWP_2023-09-14_final.stac-item
2023-11-18 10:31:47	ga_s2am_ard_3-2-1_54KTG_2023-11-18_final.stac-item
2023-11-23 11:23:06	ga_s2am_ard_3-2-1_51KYT_2023-11-23_final.stac-item
2023-12-03 09:48:01	ga_s2am_ard_3-2-1_54GYA_2023-12-03_final.stac-item
2023-12-07 11:06:04	ga_s2am_ard_3-2-1_52JBL_2023-12-07_final.stac-item
2023-12-19 11:42:59	ga_s2am_ard_3-2-1_51KTU_2023-12-19_final.stac-item
2024-01-22 11:26:25	ga_s2am_ard_3-2-1_51HUE_2024-01-22_final.stac-item
2024-02-06 10:30:51	ga_s2am_ard_3-2-1_54LWK_2024-02-06_final.stac-item
2024-02-11 11:23:24	ga_s2am_ard_3-2-1_52KCA_2024-02-11_final.stac-item
2024-03-07 10:34:37	ga_s2am_ard_3-2-1_53JPL_2024-03-07_final.stac-item
2024-03-17 10:33:31	ga_s2am_ard_3-2-1_53KRQ_2024-03-17_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