Urban Green Space Planning Based on Remote Sensing Image Enhancement and Wireless Sensing Technology

Abstract

Traditional urban green space planning methods often rely on site survey and manual mapping, which is inefficient and costly. In order to solve these problems, a new urban green space planning method is proposed based on remote sensing image enhancement technology and wireless sensing technology. In this paper, remote sensing image technology is used to obtain high-resolution urban green space images, and image enhancement algorithm is used to improve the clarity and recognition of the images. Then through the wireless sensor network in the green space, real-time environmental data is collected. Finally, combined with remote sensing data and sensor data, a comprehensive analysis is carried out to develop a reasonable green space planning scheme. The results show that the urban green space planning method based on remote sensing image enhancement and wireless sensing technology not only improves the accuracy and efficiency of green space monitoring, but also significantly reduces the cost. The real-time environmental data obtained by wireless sensors can more accurately reflect the ecological status of green space, and contribute to scientific planning and management of urban green space. Therefore, the combination of remote sensing image enhancement and wireless sensing technology provides an efficient and low-cost new way for urban green space planning.