Evaluation of Water Resources Environment and Regional Agricultural Economic Development Based on SAR Imaging Algorithm

Abstract

Synthetic aperture radar (SAR) is a new high-tech radar that uses SAR principles and pulse compression technology to perform high-resolution imaging of ground targets. Because it is not affected by various factors such as location, time, and climate, it is widely used in the civilian and military fields, bringing huge social and economic benefits. Moreover, the environment of agricultural water resources and the development of regional agricultural economy can be studied using the SAR imaging algorithm. With the serious shortage of water resources and the increase of the world’s population, the use of water resources for agriculture must not only achieve the goal of saving water, but more importantly, achieve efficient production on the premise of saving water. However, the shortage of water resources in China has become a serious constraint on the development of agriculture and rural economy and has become an important factor restricting the sustainable development of agriculture and rural economy. Therefore, the development of efficient and sustainable use of water resources is very important to establish a water-saving society for the sustainable development of China’s economy and society. For the spaceborne SAR system, an azimuth-based multi-channel range ambiguity suppression method is proposed in this chapter. The simulation results show that after adopting the azimuth phase encoding technology, the azimuth spectrum of the signal in the ambiguous area can be moved to suppress the distance ambiguity.