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
2016-02-11 10:41:59	ga_s2am_ard_3-2-1_53KNV_2016-02-11_final.stac-item
2016-02-11 10:43:04	ga_s2am_ard_3-2-1_53JNM_2016-02-11_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KFU_2016-05-07_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KQB_2016-07-01_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KWR_2016-07-15_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KFD_2017-01-15_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVB_2017-01-31_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52LGM_2017-02-04_final
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50JLL_2017-03-28_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLT_2017-06-06_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-06-22_final
2017-10-17 10:26:36	ga_s2am_ard_3-2-1_53HQB_2017-10-17_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KXU_2018-01-06_final
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_53HQB_2018-03-03_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_50KRD_2018-03-20_final
2018-06-14 10:17:05	ga_s2am_ard_3-2-1_53HQB_2018-06-14_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPL_2018-08-07_final
2018-09-18 10:37:23	ga_s2am_ard_3-2-1_53HMD_2018-09-18_final
2018-11-07 10:43:51	ga_s2am_ard_3-2-1_53KMP_2018-11-07_final
2018-12-14 10:34:17	ga_s2am_ard_3-2-1_53JNM_2018-12-14_final
2019-03-18 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-03-18_final
2019-03-22 11:33:21	ga_s2am_ard_3-2-1_51KXS_2019-03-22_final
2019-04-05 11:13:16	ga_s2am_ard_3-2-1_52KEB_2019-04-05_final
2019-04-15 11:12:13	ga_s2am_ard_3-2-1_52KCG_2019-04-15_final
2019-05-18 11:22:59	ga_s2am_ard_3-2-1_51KYU_2019-05-18_final
2019-05-20 12:04:02	ga_s2am_ard_3-2-1_50KKA_2019-05-20_final
2019-07-10 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2019-07-10_final
2019-07-24 11:15:23	ga_s2am_ard_3-2-1_52JCP_2019-07-24_final
2019-08-19 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-08-19_final
2019-09-29 11:04:34	ga_s2am_ard_3-2-1_52JES_2019-09-29_final
2020-02-05 11:32:46	ga_s2am_ard_3-2-1_51KXU_2020-02-05_final
2020-04-05 11:33:00	ga_s2am_ard_3-2-1_51KWT_2020-04-05_final
2020-05-29 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2020-05-29_final
2020-05-30 10:43:40	ga_s2am_ard_3-2-1_53KPQ_2020-05-30_final
2020-06-01 11:23:31	ga_s2am_ard_3-2-1_51KYS_2020-06-01_final
2020-06-19 10:43:58	ga_s2am_ard_3-2-1_53KNP_2020-06-19_final
2020-06-27 11:42:27	ga_s2am_ard_3-2-1_51KWA_2020-06-27_final
2020-07-04 11:33:07	ga_s2am_ard_3-2-1_51KXT_2020-07-04_final
2020-07-08 11:11:06	ga_s2am_ard_3-2-1_52LFL_2020-07-08_final
2020-09-11 12:05:59	ga_s2am_ard_3-2-1_50JKN_2020-09-11_final
2020-09-16 11:16:48	ga_s2am_ard_3-2-1_51HWD_2020-09-16_final
2020-10-31 10:26:23	ga_s2am_ard_3-2-1_53HQD_2020-10-31_final
2020-12-04 11:42:59	ga_s2am_ard_3-2-1_51KUU_2020-12-04_final
2021-01-21 11:02:19	ga_s2am_ard_3-2-1_52KFF_2021-01-21_final
2021-02-18 12:04:12	ga_s2am_ard_3-2-1_50KKV_2021-02-18_final
2021-02-26 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2021-02-26_final
2021-03-16 10:45:59	ga_s2am_ard_3-2-1_52JGL_2021-03-16_final
2021-03-24 11:42:12	ga_s2am_ard_3-2-1_51KVB_2021-03-24_final
2021-04-24 11:16:40	ga_s2am_ard_3-2-1_51HWD_2021-04-24_final
2021-06-19 11:34:31	ga_s2am_ard_3-2-1_51JWN_2021-06-19_final
2021-08-12 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2021-08-12_final
2021-09-04 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-09-04_final
2021-09-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-09-16_final
2021-10-04 11:23:11	ga_s2am_ard_3-2-1_51KZT_2021-10-04_final
2021-11-05 10:26:50	ga_s2am_ard_3-2-1_53HQB_2021-11-05_final
2021-11-16 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-11-16_final
2021-11-17 11:03:17	ga_s2am_ard_3-2-1_52KFB_2021-11-17_final
2021-11-21 10:43:52	ga_s2am_ard_3-2-1_53KNP_2021-11-21_final
2021-12-25 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-12-25_final
2022-01-11 11:56:15	ga_s2am_ard_3-2-1_50JKM_2022-01-11_final
2022-02-13 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2022-02-13_final
2022-02-24 11:34:02	ga_s2am_ard_3-2-1_51KVQ_2022-02-24_final
2022-03-16 11:33:01	ga_s2am_ard_3-2-1_51KWU_2022-03-16_final
2022-03-24 10:55:42	ga_s2am_ard_3-2-1_53JKG_2022-03-24_final
2022-04-25 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2022-04-25_final
2022-05-29 11:13:52	ga_s2am_ard_3-2-1_52KEV_2022-05-29_final
2022-06-14 11:33:49	ga_s2am_ard_3-2-1_51KXR_2022-06-14_final
2022-06-18 11:15:50	ga_s2am_ard_3-2-1_51JYH_2022-06-18_final
2022-08-01 10:52:15	ga_s2am_ard_3-2-1_53KNA_2022-08-01_final
2022-08-17 11:11:17	ga_s2am_ard_3-2-1_52LEL_2022-08-17_final.stac-item
2022-09-09 11:24:08	ga_s2am_ard_3-2-1_51KXQ_2022-09-09_final.stac-item
2022-09-19 11:26:01	ga_s2am_ard_3-2-1_51JXG_2022-09-19_final.stac-item
2022-09-24 12:15:07	ga_s2am_ard_3-2-1_49JFM_2022-09-24_final.stac-item
2022-09-26 11:16:30	ga_s2am_ard_3-2-1_51HYE_2022-09-26_final.stac-item
2022-10-11 12:05:03	ga_s2am_ard_3-2-1_50JKS_2022-10-11_final.stac-item
2022-10-19 11:26:57	ga_s2am_ard_3-2-1_51HWC_2022-10-19_final.stac-item
2022-10-28 11:56:33	ga_s2am_ard_3-2-1_50HNK_2022-10-28_final.stac-item
2022-11-01 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2022-11-01_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2022-11-22 11:02:03	ga_s2am_ard_3-2-1_52KHF_2022-11-22_final.stac-item
2023-01-17 11:23:21	ga_s2am_ard_3-2-1_51KYS_2023-01-17_final.stac-item
2023-01-29 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-01-29_final.stac-item
2023-01-30 11:32:30	ga_s2am_ard_3-2-1_51KVA_2023-01-30_final.stac-item
2023-02-28 10:26:58	ga_s2am_ard_3-2-1_53HQA_2023-02-28_final.stac-item
2023-03-25 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-03-25_final.stac-item
2023-04-07 11:26:32	ga_s2am_ard_3-2-1_51HUE_2023-04-07_final.stac-item
2023-04-22 10:35:33	ga_s2am_ard_3-2-1_53JPG_2023-04-22_final.stac-item
2023-05-08 10:53:32	ga_s2am_ard_3-2-1_52KGA_2023-05-08_final.stac-item
2023-05-26 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-05-26_final.stac-item
2023-06-06 11:23:06	ga_s2am_ard_3-2-1_52KCC_2023-06-06_final.stac-item
2023-06-29 11:33:35	ga_s2am_ard_3-2-1_51KVS_2023-06-29_final.stac-item
2023-10-31 11:10:42	ga_s2am_ard_3-2-1_52LGM_2023-10-31_final.stac-item
2023-11-03 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2023-11-03_final.stac-item
2023-12-06 11:35:30	ga_s2am_ard_3-2-1_50JQP_2023-12-06_final.stac-item
2024-01-02 11:23:22	ga_s2am_ard_3-2-1_51KYS_2024-01-02_final.stac-item
2024-01-07 10:33:56	ga_s2am_ard_3-2-1_53JRN_2024-01-07_final.stac-item
2024-03-04 12:06:10	ga_s2am_ard_3-2-1_50JKM_2024-03-04_final.stac-item
2024-03-06 11:01:14	ga_s2am_ard_3-2-1_52LHK_2024-03-06_final.stac-item
2024-03-15 11:34:49	ga_s2am_ard_3-2-1_51JTM_2024-03-15_final.stac-item
2024-04-07 11:42:44	ga_s2am_ard_3-2-1_51KUV_2024-04-07_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