Search ga_s2am_ard_3 across February 2017

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:

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First 100 results (query limit)

Time (local)	Label
2017-02-01 09:22:38	ga_s2am_ard_3-2-1_56JNL_2017-01-31_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52KED_2017-02-01_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52KGB_2017-02-01_final
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_53KLA_2017-02-01_final
2017-02-03 10:00:26	ga_s2am_ard_3-2-1_55KFA_2017-02-03_final
2017-02-03 10:00:26	ga_s2am_ard_3-2-1_55KCA_2017-02-03_final
2017-02-03 10:01:38	ga_s2am_ard_3-2-1_55KFA_2017-02-03_final
2017-02-03 10:01:38	ga_s2am_ard_3-2-1_55KCA_2017-02-03_final
2017-02-03 10:05:45	ga_s2am_ard_3-2-1_55HBC_2017-02-03_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KUA_2017-02-03_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_53LKJ_2017-02-04_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KDD_2017-02-04_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KED_2017-02-04_final
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52KCF_2017-02-04_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KNU_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KNT_2017-02-05_final
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KMU_2017-02-05_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_53JKH_2017-02-05_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_53KNU_2017-02-05_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_53KMU_2017-02-05_final
2017-02-05 10:42:31	ga_s2am_ard_3-2-1_53KQS_2017-02-05_final
2017-02-06 10:07:38	ga_s2am_ard_3-2-1_55KBS_2017-02-06_final
2017-02-06 10:13:02	ga_s2am_ard_3-2-1_54HTH_2017-02-06_final
2017-02-07 09:42:07	ga_s2am_ard_3-2-1_55HGC_2017-02-07_final.stac-item
2017-02-08 10:52:11	ga_s2am_ard_3-2-1_53KNU_2017-02-08_final
2017-02-08 10:52:11	ga_s2am_ard_3-2-1_53KMU_2017-02-08_final
2017-02-08 10:52:11	ga_s2am_ard_3-2-1_52KGB_2017-02-08_final
2017-02-09 10:18:49	ga_s2am_ard_3-2-1_54LYQ_2017-02-09_final.stac-item
2017-02-09 10:18:49	ga_s2am_ard_3-2-1_54LXQ_2017-02-09_final.stac-item
2017-02-09 10:21:58	ga_s2am_ard_3-2-1_54KWD_2017-02-09_final
2017-02-10 09:50:59	ga_s2am_ard_3-2-1_55KFA_2017-02-10_final
2017-02-10 09:51:42	ga_s2am_ard_3-2-1_55KFA_2017-02-10_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KWU_2017-02-10_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KVU_2017-02-10_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWU_2017-02-10_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51HTC_2017-02-10_final
2017-02-11 09:24:02	ga_s2am_ard_3-2-1_56JNL_2017-02-10_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KED_2017-02-11_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KGB_2017-02-11_final
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_53KLA_2017-02-11_final
2017-02-12 10:31:55	ga_s2am_ard_3-2-1_54KUF_2017-02-12_final
2017-02-13 09:57:01	ga_s2am_ard_3-2-1_55KFA_2017-02-13_final
2017-02-13 09:57:01	ga_s2am_ard_3-2-1_55KCA_2017-02-13_final
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_55JBH_2017-02-13_final
2017-02-13 10:04:21	ga_s2am_ard_3-2-1_55HBC_2017-02-13_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVU_2017-02-13_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KUA_2017-02-13_final
2017-02-14 09:32:12	ga_s2am_ard_3-2-1_55HGC_2017-02-14_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52KDD_2017-02-14_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52KED_2017-02-14_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52KCF_2017-02-14_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53KNU_2017-02-15_final
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53KMU_2017-02-15_final
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_53JKH_2017-02-15_final
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_53HMC_2017-02-15_final.stac-item
2017-02-16 10:12:41	ga_s2am_ard_3-2-1_54HTH_2017-02-16_final
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55HGC_2017-02-17_final
2017-02-17 11:16:53	ga_s2am_ard_3-2-1_51KYS_2017-02-17_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HTC_2017-02-17_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51KYS_2017-02-17_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53KNU_2017-02-18_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53KMU_2017-02-18_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_52KGB_2017-02-18_final
2017-02-18 10:50:41	ga_s2am_ard_3-2-1_53KLA_2017-02-18_final
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54KWD_2017-02-19_final
2017-02-19 10:17:50	ga_s2am_ard_3-2-1_54LXQ_2017-02-19_final
2017-02-19 10:23:19	ga_s2am_ard_3-2-1_53HQC_2017-02-19_final
2017-02-19 10:23:19	ga_s2am_ard_3-2-1_54HTH_2017-02-19_final
2017-02-20 09:50:59	ga_s2am_ard_3-2-1_55KFA_2017-02-20_final
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55JBH_2017-02-20_final
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55HBC_2017-02-20_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KWU_2017-02-20_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KVU_2017-02-20_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_51HTC_2017-02-20_final
2017-02-21 09:22:38	ga_s2am_ard_3-2-1_56JNL_2017-02-20_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52KED_2017-02-21_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52KFF_2017-02-21_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52KGB_2017-02-21_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_53KLA_2017-02-21_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_54LXP_2017-02-22_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_54LWQ_2017-02-22_final.stac-item
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_54KUF_2017-02-22_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_53KQS_2017-02-22_final
2017-02-22 10:29:15	ga_s2am_ard_3-2-1_54LXQ_2017-02-22_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55JBH_2017-02-23_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55KFA_2017-02-23_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55KCA_2017-02-23_final
2017-02-24 09:32:12	ga_s2am_ard_3-2-1_55HGC_2017-02-24_final
2017-02-24 09:35:59	ga_s2am_ard_3-2-1_55HGC_2017-02-24_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KDD_2017-02-24_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KED_2017-02-24_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KCF_2017-02-24_final
2017-02-25 10:41:56	ga_s2am_ard_3-2-1_53KMU_2017-02-25_final
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HTH_2017-02-26_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HTC_2017-02-27_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KYS_2017-02-27_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53KNU_2017-02-28_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53KMU_2017-02-28_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_52KGB_2017-02-28_final
2017-02-28 10:47:18	ga_s2am_ard_3-2-1_53KLA_2017-02-28_final

Return to ga_s2am_ard_3 across February 2017 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

2017

February

All days