Search ga_s2am_ard_3 across May 2018

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
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53LQG_2018-05-01_final.stac-item
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_54KTF_2018-05-01_final
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53KQA_2018-05-01_final
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53KLQ_2018-05-01_final
2018-05-02 10:07:07	ga_s2am_ard_3-2-1_54LZM_2018-05-02_final
2018-05-02 10:10:40	ga_s2am_ard_3-2-1_54KYF_2018-05-02_final
2018-05-02 10:10:40	ga_s2am_ard_3-2-1_55KBA_2018-05-02_final
2018-05-02 11:47:56	ga_s2am_ard_3-2-1_50KQF_2018-05-02_final.stac-item
2018-05-03 09:41:11	ga_s2am_ard_3-2-1_56KKF_2018-05-03_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_52KBF_2018-05-03_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51KYA_2018-05-03_final
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_53LQG_2018-05-04_final.stac-item
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_53KKA_2018-05-04_final
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_52KHF_2018-05-04_final
2018-05-04 10:47:27	ga_s2am_ard_3-2-1_53KLQ_2018-05-04_final
2018-05-05 10:17:08	ga_s2am_ard_3-2-1_54LZM_2018-05-05_final
2018-05-05 10:17:08	ga_s2am_ard_3-2-1_54KYF_2018-05-05_final
2018-05-05 10:17:08	ga_s2am_ard_3-2-1_54KUV_2018-05-05_final
2018-05-06 09:50:57	ga_s2am_ard_3-2-1_56KKF_2018-05-06_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KYA_2018-05-06_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KUQ_2018-05-06_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52LGM_2018-05-07_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52LHM_2018-05-07_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_53KKA_2018-05-07_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_53LKG_2018-05-07_final
2018-05-07 10:57:18	ga_s2am_ard_3-2-1_52KGF_2018-05-07_final
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_54KTF_2018-05-08_final
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_53KQA_2018-05-08_final
2018-05-08 10:27:10	ga_s2am_ard_3-2-1_54KUV_2018-05-08_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KUQ_2018-05-09_final
2018-05-10 11:07:15	ga_s2am_ard_3-2-1_52LGM_2018-05-10_final
2018-05-10 11:07:15	ga_s2am_ard_3-2-1_52LHM_2018-05-10_final
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_53LQG_2018-05-11_final.stac-item
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_54KTF_2018-05-11_final
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_53KQA_2018-05-11_final
2018-05-11 10:37:30	ga_s2am_ard_3-2-1_53KLQ_2018-05-11_final
2018-05-12 10:07:07	ga_s2am_ard_3-2-1_54LZM_2018-05-12_final
2018-05-12 10:07:07	ga_s2am_ard_3-2-1_54KYF_2018-05-12_final
2018-05-12 10:07:07	ga_s2am_ard_3-2-1_55KBA_2018-05-12_final
2018-05-12 11:48:21	ga_s2am_ard_3-2-1_50KQF_2018-05-12_final.stac-item
2018-05-13 09:41:18	ga_s2am_ard_3-2-1_56KKF_2018-05-13_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_52KBF_2018-05-13_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KYA_2018-05-13_final
2018-05-14 10:47:27	ga_s2am_ard_3-2-1_53LQG_2018-05-14_final.stac-item
2018-05-14 10:47:27	ga_s2am_ard_3-2-1_52KHF_2018-05-14_final
2018-05-14 10:47:27	ga_s2am_ard_3-2-1_53KKA_2018-05-14_final
2018-05-14 10:47:27	ga_s2am_ard_3-2-1_53KLQ_2018-05-14_final
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54LZM_2018-05-15_final
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54KYF_2018-05-15_final
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54KUV_2018-05-15_final
2018-05-16 09:50:57	ga_s2am_ard_3-2-1_56KKF_2018-05-16_final
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KYA_2018-05-16_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_51KUQ_2018-05-16_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_52LGM_2018-05-17_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_52LHM_2018-05-17_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_53KKA_2018-05-17_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_53LKG_2018-05-17_final
2018-05-17 10:57:18	ga_s2am_ard_3-2-1_52KGF_2018-05-17_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_54KTF_2018-05-18_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_53KQA_2018-05-18_final
2018-05-18 10:27:10	ga_s2am_ard_3-2-1_54KUV_2018-05-18_final
2018-05-19 09:57:09	ga_s2am_ard_3-2-1_55KCQ_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUQ_2018-05-19_final
2018-05-20 11:07:15	ga_s2am_ard_3-2-1_52LGM_2018-05-20_final
2018-05-20 11:07:15	ga_s2am_ard_3-2-1_52LHM_2018-05-20_final
2018-05-21 10:37:29	ga_s2am_ard_3-2-1_53LQG_2018-05-21_final.stac-item
2018-05-21 10:37:29	ga_s2am_ard_3-2-1_54KTF_2018-05-21_final
2018-05-21 10:37:29	ga_s2am_ard_3-2-1_53KQA_2018-05-21_final
2018-05-21 10:37:29	ga_s2am_ard_3-2-1_53KLQ_2018-05-21_final
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_54LZM_2018-05-22_final
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_54KYF_2018-05-22_final
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_55KBA_2018-05-22_final
2018-05-22 11:48:06	ga_s2am_ard_3-2-1_50KQF_2018-05-22_final.stac-item
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_56KKF_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBF_2018-05-23_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYA_2018-05-23_final
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_53LQG_2018-05-24_final.stac-item
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_53KKA_2018-05-24_final
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_52KHF_2018-05-24_final
2018-05-24 10:47:27	ga_s2am_ard_3-2-1_53KLQ_2018-05-24_final
2018-05-25 10:17:08	ga_s2am_ard_3-2-1_54LZM_2018-05-25_final
2018-05-25 10:17:08	ga_s2am_ard_3-2-1_54KYF_2018-05-25_final
2018-05-25 10:17:08	ga_s2am_ard_3-2-1_54KUV_2018-05-25_final
2018-05-26 09:50:56	ga_s2am_ard_3-2-1_56KKF_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KYA_2018-05-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUQ_2018-05-26_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52LGM_2018-05-27_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52LHM_2018-05-27_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_53KKA_2018-05-27_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_53LKG_2018-05-27_final
2018-05-27 10:59:34	ga_s2am_ard_3-2-1_52KGF_2018-05-27_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_54KTF_2018-05-28_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53KQA_2018-05-28_final
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_54KUV_2018-05-28_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KUQ_2018-05-29_final
2018-05-30 11:07:14	ga_s2am_ard_3-2-1_52LGM_2018-05-30_final
2018-05-30 11:07:14	ga_s2am_ard_3-2-1_52LHM_2018-05-30_final
2018-05-31 10:37:28	ga_s2am_ard_3-2-1_53LQG_2018-05-31_final.stac-item
2018-05-31 10:37:28	ga_s2am_ard_3-2-1_54KTF_2018-05-31_final
2018-05-31 10:37:28	ga_s2am_ard_3-2-1_53KQA_2018-05-31_final

Return to ga_s2am_ard_3 across May 2018 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

2018

May

All days