Python-Powered Remote Sensing Data

Abstract

Remote sensing is a crucial technique in environmental and spatial investigations, and Python is a popular programming language for analyzing this data. This chapter provides a comprehensive guide to using Python for remote sensing data analysis, covering various data types, attributes, and practical implementations. It introduces Python and its data processing libraries, discusses preprocessing operations like data conversion and import, geometric rectification, and radiometric correction, and covers image enhancement techniques like edge detection, contrast enhancement, and filtering. It also covers image analysis techniques like band mathematics, indices, classification, and segmentation. The chapter also covers exporting data and generating visualization maps and charts. Python's application in remote sensing data analysis is illustrated through case studies.