Accurate determination of the coverage of coastal inundation is tremen translation - Accurate determination of the coverage of coastal inundation is tremen English how to say

Accurate determination of the cover

Accurate determination of the coverage of coastal inundation is tremendously important for planning and carrying out of necessary adaptation measure to support the coastal inundated risk assessment. In this case study, an evaluation was made between open-sources DEM and high-accurate vertical elevation measurement (LIDAR) with respect to GPS data observation. It can be concluded that the resulting DEM assessment on SRTM DEM become the highest correlation compared to other open-sources DEM model with a R2 of 0.912m and a RMSE of 9.098m. Additionally, LIDAR DEM also represent the best sources of the terrain data for coastal inundation modeling due to the vertical and horizontal accuracy, which is 0.15m and ±0.30m.


The development of the sea level rise simulation is significant to monitor and forecast the impact of the sea level scenario on the coastal area that could inundate due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land.The development of the sea level rise simulation is significant to monitor and forecast the impact of the sea level scenario on the coastal area that could inundate due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land. In addition the potential vulnerable assessment also will include the human population value. People affected by the coastal inundation will be analyzed based on the inundation risk map. As a result, this study will provide useful information for better understanding future coastal development and exposure to coastal flooding and submerge at global, regional and national scales.

oleh disebebkan itu
0/5000
From: -
To: -
Results (English) 1: [Copy]
Copied!
Accurate determination of the number of coastal inundation is tremendously important for planning and carrying out of necessary adaptation measures to support the inundated coastal risk assessment. In this case study, an evaluation was made between open-sources DEM and high-accurate vertical elevation measurement (LIDAR) with respect to GPS data observation. It can be concluded that the resulting assessment on DEM SRTM DEM become the highest correlation compared to other open-sources DEM model with a R2 of 0.912 m and a RMSE of 9.098 m. Additionally, LIDAR DEM also represent the best sources of the terrain data for coastal inundation modeling due to the vertical and horizontal accuracy, which is 0.15 m and ± 0.30 m.The development of the sea level rise simulation is c to monitor and forecast the impact of the sea level on the scenario that could inundate coastal area due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land. The development of the sea level rise simulation is c to monitor and forecast the impact of the sea level on the scenario that could inundate coastal area due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land. In addition the potential vulnerable assessment also will include the human population value. People is affected by the coastal inundation will be analyzed based on the inundation risk map. As a result, this study will provide useful information for better understanding future coastal development and efforts to coastal flooding and submerge at global, regional and national scales.by the disebebkan
Being translated, please wait..
Results (English) 2:[Copy]
Copied!
Accurate determination of the coverage of coastal inundation is tremendously important for planning and carrying out of necessary adaptation measure to support the inundated coastal risk assessment. In this case study, an evaluation was made ​​between open-sources DEM and high-accurate vertical elevation measurement (LIDAR) with respect to GPS observation data. It can be concluded that the resulting assessment on SRTM DEM DEM become the highest correlation compared to other open-sources DEM model with a R2 of 0.912m and a RMSE of 9.098m. Additionally, LIDAR DEM also represent the best sources of the terrain data for coastal inundation modeling due to the vertical and horizontal accuracy, which is ± 0.15m and 0.30m. The development of the sea level rise is significant simulation to monitor and forecast the impact of the sea level on the scenario that could inundate coastal areas due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land.The development of the sea level rise is significant simulation to monitor and forecast the impact of the scenario on the sea level that could inundate coastal areas due to the increment of sea level rise based on the future projection of the sea level and high accuracy DEM on land. In addition the potential vulnerable assessment will also include the human population value. People affected by the coastal inundation will be analyzed based on the inundation risk map. As a result, this study will provide useful information for better understanding future coastal development and exposure to coastal flooding and submerge at global, regional and national scales. Ferns it




Being translated, please wait..
 
Other languages
The translation tool support: Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Cebuano, Chichewa, Chinese, Chinese Traditional, Corsican, Croatian, Czech, Danish, Detect language, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Frisian, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Kinyarwanda, Klingon, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Myanmar (Burmese), Nepali, Norwegian, Odia (Oriya), Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scots Gaelic, Serbian, Sesotho, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tajik, Tamil, Tatar, Telugu, Thai, Turkish, Turkmen, Ukrainian, Urdu, Uyghur, Uzbek, Vietnamese, Welsh, Xhosa, Yiddish, Yoruba, Zulu, Language translation.

Copyright ©2025 I Love Translation. All reserved.

E-mail: