The Use of Remote Sensing in the Modeling of Forest Productivity (Forestry Sciences Book 50)
معرفی کتاب «The Use of Remote Sensing in the Modeling of Forest Productivity (Forestry Sciences Book 50)» نوشتهٔ Henry L. Gholz, Paul J. Curran, John A. Kupiec, Geoff M. Smith (auth.), Haruhisa Shimoda, Henry L. Gholz, Kaneyuki Nakane (eds.)، منتشرشده توسط نشر Springer Netherlands در سال 1997. این کتاب در 3 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.
Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management. Front Matter....Pages i-vii Front Matter....Pages 1-1 Assessing Leaf Area and Canopy Biochemistry of Florida Pine Plantations Using Remote Sensing....Pages 3-22 Modeling Radiative Transfer through Forest Canopies: Implications for Canopy Photosynthesis and Remote Sensing....Pages 23-60 Estimating Forest Canopy Characteristics as Inputs for Models of Forest Carbon Exchange by High Spectral Resolution Remote Sensing....Pages 61-72 Front Matter....Pages 73-73 Detecting Structural and Growth Changes in Woodlands and Forests: The Challenge for Remote Sensing and the Role of Geometric-Optical Modelling....Pages 75-108 Integrating Remotely Sensed Spatial Heterogeneity with a Three-dimensional Forest Succession Model....Pages 109-133 Combining Remote Sensing and Forest Ecosystem Modeling: An Example Using the Regional HydroEcological Simulation System (RHESSys)....Pages 135-158 Forest Vegetation Classification and Biomass Estimation Based on Landsat TM Data in a Mountainous Region of West Japan....Pages 159-171 Forest Structure and Productivity along the Oregon Transect....Pages 173-218 Use of Remote Sensing to Model Land Use Effects on Carbon Flux in Forests of the Pacific Northwest, USA....Pages 219-237 Front Matter....Pages 239-239 Global Biospheric Monitoring with Remote Sensing....Pages 241-272 Energy Conversion and Use in Forests: An Analysis of Forest Production in Terms of Radiation Utilisation Efficiency (ɛ)....Pages 273-298 Back Matter....Pages 299-326
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