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Sử dụng mô hình thủy văn cơ sở dữ liệu viễn thám Phát triển gần đây trong sự phát triển của mô hình thủy văn sử dụng các nguồn dữ liệu viễn thám là Bàn luận. Các dụng cụ viễn thám mới nhất cũng như các thiết bị truyền thống đã đề cập trong điều khoản của nghị quyết quang phổ và không gian đặc điểm. Sản phẩm quan tâm để tạo mô hình thủy văn được mô tả, cũng như các kỹ thuật để dẫn xuất của họ. Đó là mô hình kỹ thuật thủy văn Hãy sử dụng những. | CHAPTER 16 Hydrologic Modeling Using Remotely Sensed Databases James F Cruise and Richard L. Miller INTRODUCTION Recent developments in the evolution of hydrologic modeling using remotely sensed data sources are discussed. The latest remote sensing instruments as well as traditional devices are addressed in terms of spectral characteristics and spatial resolutions. Products of interest to hydrologic modelers are described as are techniques for their derivation. Hydrologic modeling techniques that make use of these data sources are examined particularly at the macroscale level. Scientific development in the areas of global change analysis and atmospheric forecasting establish the context of research in hydrologic modeling using spatial databases. Of primary importance are issues involving data scale and resolution requirements for hydrologic modeling. The evolution of this research is discussed and the authors present a study that makes use of recently developed modeling techniques along with remote sensing data products. The results demonstrate that macroscale hydrologic modeling in conjunction with conventional remote sensing data sources can lead to accurate simulations of observed climatologies over fairly long time periods. Background Spatial databases are frequently a critical component of hydrologic models. The requirements for modeling over larger spatial domains imposed by the global change and atmospheric forecasting communities have dramatically altered some conceptions relative to modeling strategies and data requirements. The formulation of coupled atmospheric hydrologic modeling systems to operate in the macroscale spatial domain has placed a premium on data acquisition and processing techniques. The development of comprehensive databases and hence effective models is therefore a major focus of most modeling efforts. Remote sensing can provide unique data for constructing spatial databases. These data may include analog aerial photography or digital .
