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Remote Sensing, Systems and Data
1994To understand global environment change, it is essential to understand and to document how the Earth works as a system. The scientific success of this understanding depends on the integration and management of numerous data sources. Unlike many scientific conundrums of the past, this one will not require the discovery of new laws of nature: the climate
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Verification of Remotely Sensed Data
2000Ground or field checks are an important part of any remote sensing study and are necessary to provide an accurate and useful interpretive product. Field checking is necessary to confirm the validity of spectral, spatial, and morphological interpretations.
Trude V. V. King, Roger N. Clark
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Image retrieval from remote sensing big data: A survey
Information Fusion, 2021Yansheng Li, Yongjun Zhang
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Python-Powered Remote Sensing Data
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.Aamir Raza +10 more
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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
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Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2021Teja Kattenborn +2 more
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