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
2015-12-05 11:26:08	ga_s2am_ard_3-2-1_51HWE_2015-12-05_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KBV_2016-01-21_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JMM_2016-04-29_final.stac-item
2016-06-29 11:12:16	ga_s2am_ard_3-2-1_52KEV_2016-06-29_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51KVR_2016-10-03_final.stac-item
2016-10-04 11:05:00	ga_s2am_ard_3-2-1_51HYD_2016-10-04_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52JEQ_2016-11-23_final.stac-item
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEM_2016-12-13_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KEV_2017-01-12_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HVC_2017-01-18_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KZA_2017-01-18_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JVH_2017-04-21_final
2017-05-22 11:03:26	ga_s2am_ard_3-2-1_52KEV_2017-05-22_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_52KCA_2017-07-24_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_51KVS_2017-10-18_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXQ_2018-02-15_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_51HUC_2018-03-07_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52LGH_2018-05-27_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50JPL_2018-07-05_final
2018-08-14 11:26:20	ga_s2am_ard_3-2-1_51KVU_2018-08-14_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51KWP_2018-10-20_final
2019-01-22 11:02:35	ga_s2am_ard_3-2-1_52KFD_2019-01-22_final
2019-01-25 11:13:10	ga_s2am_ard_3-2-1_52KBC_2019-01-25_final
2019-03-19 11:23:40	ga_s2am_ard_3-2-1_51KXR_2019-03-19_final
2019-04-11 11:32:21	ga_s2am_ard_3-2-1_51KVB_2019-04-11_final
2019-05-12 11:05:41	ga_s2am_ard_3-2-1_52JCN_2019-05-12_final
2019-06-20 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-06-20_final
2019-07-10 11:33:08	ga_s2am_ard_3-2-1_51KXU_2019-07-10_final
2019-08-30 11:04:44	ga_s2am_ard_3-2-1_52JFR_2019-08-30_final
2019-09-29 11:03:50	ga_s2am_ard_3-2-1_52KEV_2019-09-29_final
2019-10-08 11:34:13	ga_s2am_ard_3-2-1_51KWP_2019-10-08_final
2019-10-15 11:23:06	ga_s2am_ard_3-2-1_52KCC_2019-10-15_final
2019-11-03 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-11-03_final.stac-item
2019-11-11 11:15:50	ga_s2am_ard_3-2-1_52JCM_2019-11-11_final
2019-11-13 11:56:06	ga_s2am_ard_3-2-1_50JNM_2019-11-13_final
2019-12-20 11:42:21	ga_s2am_ard_3-2-1_51KVA_2019-12-20_final
2019-12-28 11:02:49	ga_s2am_ard_3-2-1_52KHC_2019-12-28_final
2020-01-02 11:53:15	ga_s2am_ard_3-2-1_50KPC_2020-01-02_final
2020-02-12 11:23:32	ga_s2am_ard_3-2-1_51KYR_2020-02-12_final
2020-02-28 11:42:41	ga_s2am_ard_3-2-1_51KUV_2020-02-28_final
2020-03-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-18_final
2020-04-06 11:05:05	ga_s2am_ard_3-2-1_52JCQ_2020-04-06_final
2020-04-08 11:42:11	ga_s2am_ard_3-2-1_51KVB_2020-04-08_final
2020-04-08 11:43:01	ga_s2am_ard_3-2-1_50KRD_2020-04-08_final
2020-04-08 11:43:33	ga_s2am_ard_3-2-1_51KVR_2020-04-08_final
2020-04-18 11:43:00	ga_s2am_ard_3-2-1_51KUU_2020-04-18_final
2020-06-01 11:27:08	ga_s2am_ard_3-2-1_51HUC_2020-06-01_final
2020-08-12 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-12_final
2020-09-11 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-09-11_final
2020-10-12 11:36:59	ga_s2am_ard_3-2-1_51HTC_2020-10-12_final
2020-11-25 11:14:39	ga_s2am_ard_3-2-1_51JZM_2020-11-25_final
2020-11-28 11:26:44	ga_s2am_ard_3-2-1_51HVD_2020-11-28_final
2020-12-02 11:02:47	ga_s2am_ard_3-2-1_52KFD_2020-12-02_final
2020-12-05 11:11:57	ga_s2am_ard_3-2-1_52KFG_2020-12-05_final
2020-12-18 11:23:18	ga_s2am_ard_3-2-1_52KBB_2020-12-18_final
2021-01-20 11:33:03	ga_s2am_ard_3-2-1_51KYT_2021-01-20_final
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_50KKB_2021-09-29_final
2021-10-21 11:15:12	ga_s2am_ard_3-2-1_52JBQ_2021-10-21_final
2021-10-24 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2021-10-24_final
2021-12-15 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-12-15_final
2021-12-30 11:17:00	ga_s2am_ard_3-2-1_51HWC_2021-12-30_final.stac-item
2022-01-22 11:22:51	ga_s2am_ard_3-2-1_52KBD_2022-01-22_final
2022-01-29 11:13:19	ga_s2am_ard_3-2-1_52KDB_2022-01-29_final
2022-03-20 11:11:16	ga_s2am_ard_3-2-1_52LGK_2022-03-20_final
2022-04-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-04-01_final
2022-04-19 11:11:23	ga_s2am_ard_3-2-1_52LEK_2022-04-19_final.stac-item
2022-05-02 11:22:53	ga_s2am_ard_3-2-1_52KCD_2022-05-02_final
2022-06-10 11:56:23	ga_s2am_ard_3-2-1_50JKM_2022-06-10_final
2022-06-14 11:32:54	ga_s2am_ard_3-2-1_51KWV_2022-06-14_final
2022-07-01 11:26:59	ga_s2am_ard_3-2-1_51HVD_2022-07-01_final
2022-08-03 11:36:37	ga_s2am_ard_3-2-1_50JPL_2022-08-03_final
2022-08-24 11:05:00	ga_s2am_ard_3-2-1_52JER_2022-08-24_final
2022-09-23 11:05:33	ga_s2am_ard_3-2-1_52JFN_2022-09-23_final.stac-item
2022-10-11 12:05:03	ga_s2am_ard_3-2-1_50JKS_2022-10-11_final.stac-item
2023-01-21 11:03:18	ga_s2am_ard_3-2-1_52KHA_2023-01-21_final.stac-item
2023-03-31 11:32:49	ga_s2am_ard_3-2-1_51KYU_2023-03-31_final.stac-item
2023-04-26 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2023-04-26_final.stac-item
2023-06-10 11:03:35	ga_s2am_ard_3-2-1_52KFA_2023-06-10_final.stac-item
2023-07-20 11:04:54	ga_s2am_ard_3-2-1_52JDR_2023-07-20_final.stac-item
2023-08-04 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-08-04_final.stac-item
2023-08-19 11:03:01	ga_s2am_ard_3-2-1_52KHC_2023-08-19_final.stac-item
2023-08-28 11:32:20	ga_s2am_ard_3-2-1_51KWB_2023-08-28_final.stac-item
2023-08-29 11:03:54	ga_s2am_ard_3-2-1_52KEV_2023-08-29_final.stac-item
2023-09-07 11:32:27	ga_s2am_ard_3-2-1_51KYA_2023-09-07_final.stac-item
2023-10-21 11:13:33	ga_s2am_ard_3-2-1_52KDA_2023-10-21_final.stac-item
2023-11-20 11:14:20	ga_s2am_ard_3-2-1_52JBT_2023-11-20_final.stac-item
2023-11-29 11:47:13	ga_s2am_ard_3-2-1_50HNG_2023-11-29_final.stac-item
2023-12-04 10:55:49	ga_s2am_ard_3-2-1_52JGL_2023-12-04_final.stac-item
2023-12-15 12:05:37	ga_s2am_ard_3-2-1_50JKP_2023-12-15_final.stac-item
2024-01-09 11:13:50	ga_s2am_ard_3-2-1_52KBV_2024-01-09_final.stac-item
2024-02-23 12:03:57	ga_s2am_ard_3-2-1_49KHR_2024-02-23_final.stac-item
2024-03-02 11:25:42	ga_s2am_ard_3-2-1_51JWH_2024-03-02_final.stac-item
2024-03-12 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2024-03-12_final.stac-item
2024-03-15 11:33:22	ga_s2am_ard_3-2-1_51KUT_2024-03-15_final.stac-item
2024-03-29 11:15:42	ga_s2am_ard_3-2-1_51JXH_2024-03-29_final.stac-item
2024-04-05 11:02:45	ga_s2am_ard_3-2-1_52KFD_2024-04-05_final.stac-item
2024-04-14 11:37:03	ga_s2am_ard_3-2-1_51HTC_2024-04-14_final.stac-item
2024-05-07 11:43:06	ga_s2am_ard_3-2-1_51KTU_2024-05-07_final.stac-item
2024-05-14 11:32:00	ga_s2am_ard_3-2-1_51LXC_2024-05-14_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