Microwave Remote Sensing Active And Passive Volume Ii Radar Remote Sensing And Surface Scattering And Emission Theory
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SAR Temporal Series Interpretation and Backscattering Modelling for Maize Growth Monitoring
The research objective is to develop a methodology for the extraction of bio- and geophysical variables from Synthetic Aperture Radars (SAR) and for their use in the perspective of maize monitoring in an operational context. SARs interest agronomists because they present some advantages for vegetation monitoring. However, the actual revisit cycle of SARs is not sufficient for crop monitoring. The image processing chain we developed overcomes this issue and meets the 4 requirements for operational crop monitoring: a high temporal resolution, a high geometric accuracy, a short processing time and the preservation of the signal content. From the literature, we know that the interactions between the signal backscattered by the vegetation and by the underlying soil are very complex. To understand these interactions, we carried out very intensive ground campaigns. The resulting data set is very rich. It covers 3 growing seasons during which 30 ERS SAR images and 13 RADARSAT SAR images were acquired and processed. In total, 612 fields, i.e. 581 maize fields and 31 sugar beet fields were located and visited. These field campaigns represent 2500 field visits and more or less 7500 measurements of 8 variables. One of the major outputs of this research comes from the analysis of the temporal behaviour of the SAR signal distribution at both field and regional levels. The SAR signal is analysed by the mean of the per-field backscattering coefficient. Previous results concerning the respective contribution of soil and crop are confirmed. The research also addresses the use of several regional indicators. We point out a drop of per-field variation coefficient averaged at regional level and we link it to the decrease of the infra-parcel variability of the soil roughness and to the progressive masking effect of the crop canopy on different sources of variability. The spatial variability of the ERS per-field backscattering coefficients is related to the variability of the sowing dates. Finally, existing and new versions of the cloud model are calibrated and validated. The cloud model is adapted to account for the data available from the field campaigns. The results show that SAR do not allow the prediction of the maize biomass at the field level but they can be used to give an indication on the crop status at a regional level.
Introduction to the Physics and Techniques of Remote Sensing
The science and engineering of remote sensing--theory and applications The Second Edition of this authoritative book offers readers the essential science and engineering foundation needed to understand remote sensing and apply it in real-world situations. Thoroughly updated to reflect the tremendous technological leaps made since the publication of the first edition, this book covers the gamut of knowledge and skills needed to work in this dynamic field, including: * Physics involved in wave-matter interaction, the building blocks for interpreting data * Techniques used to collect data * Remote sensing applications The authors have carefully structured and organized the book to introduce readers to the basics, and then move on to more advanced applications. Following an introduction, Chapter 2 sets forth the basic properties of electromagnetic waves and their interactions with matter. Chapters 3 through 7 cover the use of remote sensing in solid surface studies, including oceans. Each chapter covers one major part of the electromagnetic spectrum (e.g., visible/near infrared, thermal infrared, passive microwave, and active microwave). Chapters 8 through 12 then cover remote sensing in the study of atmospheres and ionospheres. Each chapter first presents the basic interaction mechanism, followed by techniques to acquire, measure, and study the information, or waves, emanating from the medium under investigation. In most cases, a specific advanced sensor is used for illustration. The book is generously illustrated with fifty percent new figures. Numerous illustrations are reproduced in a separate section of color plates. Examples of data acquired from spaceborne sensors are included throughout. Finally, a set of exercises, along with a solutions manual, is provided. This book is based on an upper-level undergraduate and first-year graduate course taught by the authors at the California Institute of Technology. Because of the multidisciplinary nature of the field and its applications, it is appropriate for students in electrical engineering, applied physics, geology, planetary science, astronomy, and aeronautics. It is also recommended for any engineer or scientist interested in working in this exciting field.
Polar Remote Sensing
Author: Dan Lubin
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-08-31
The polar regions, perhaps more than any other places on Earth, give the geophysical scientist a sense of exploration. This sensibility is genuine, for not only is high-latitude ?eldwork arduous with many locations seldom or never visited, but there remains much fundamental knowledge yet to be discovered about how the polar regions interact with the global climate system. The range of opportunities for new discovery becomes strikingly clear when we realize that the high latitudes are not one region but are really two vastly di?erent worlds. The high Arctic is a frozen ocean surrounded by land, and is home to fragile ecosystems and unique modes of human habitation. The Antarctic is a frozen continent without regular human habitation, covered by ice sheets taller than many mountain ranges and surrounded by the Earth’s most forbidding ocean. When we consider global change as applied to the Arctic, we discuss impacts to a region whose surface and lower atmospheric temperatures are near the triple point of water throughout much of the year. The most consistent signatures of climate warming have occurred at northern high latitudes (IPCC, 2001), and the potential impacts of a few degrees increase in surface temperature include a reduction in sea ice extent, a positive feedback to climate warming due to lowering of surface albedo, and changes to surface runo? that might a?ect the Arctic Ocean’s salinity and circulation.