Impact on Climate and Insect Pests Detected by Satellite Remote Sensing Image

• Published in: Revista científica (Universidad del Zulia. Facultad de Ciencias Veterinarias. División de Investigación) Vol. 29; no. 6; p. 1843
• Main Authors: Zhan, Yiyu, Yang, Xiaojing, Yang, Sidi
• Format: Journal Article
• Language: English
• Published: Universidad del Zulia, Facultad de Ciencias Veterinarias 01.11.2019
• Subjects: Venezuela
• ISSN: 0798-2259

Climate change is an uncontrollable factor, agricultural pests and diseases are one of the major agricultural disasters. Both have a very important impact on agricultural meteorological forecasting and agricultural pest prevention in China. At present, satellite remote sensing technology has strong advantages and great potential in agricultural pest monitoring and climate prediction. How to effectively carry out prevention and control work requires an in-depth understanding of the impact on pest and climate monitored by satellite remote sensing images. The purpose of this paper is to analyze the physical characteristics of remote sensing image information, find out the problems existing in similar research at home and abroad, analyze and propose a new impact of pests and climate detected by remote sensing image, and overcome the problems of building models and difficult processes. This paper analyzes the principle, method, use condition and process of image recognition and segmentation of satellite remote sensing image detection. At the same time, expounded the research progress of satellite remote sensing technology in the field of agricultural pest detection, and discussed the current problems and future development prospects. Finally, by analyzing the frequent occurrences of extreme weather and the factors that have caused global climatic conditions changes, predict the climate affects agricultural pests and diseases what impact. Based on the analysis of the global climate status, and combined with the actual situation of pests and diseases in satellite remote sensing images, test and discuss the impacts of agricultural pests and diseases and climate. Therefore, it is concluded that combined with satellite remote sensing image and computer image processing technology, Extracting pest and climate maps from satellite images and analyzing them quickly, can quickly detect pests, the experimental results are verified to be reliable and effective, this has brought significant benefits to agricultural pest detection, so this method is now widely available and superior to other methods. Key words: Satellite Remote Sensing, Pest Monitoring, Climate Change, Agricultural Meteorological Disaster, Image Recognition.