By Weng Q. (ed.)
"Featuring individuals from 17 international locations, this ebook systematically offers fresh advances in environmental distant sensing. First, the textual content offers the newest advancements in distant sensing info and sensor structures, paying specific consciousness to LIDAR, excessive spatial-resolution sensing, hyperspectral sensing, and knowledge fusion of varied sensors. subsequent, authors learn state-of-the-art algorithms and methods for the detection, interpretation, characterization, and modeling of Earth floor positive aspects. the ultimate part explores purposes of present information, sensors, algorithms, and strategies to the distant sensing of land, plants, water, and air."--Provided by way of publisher."1. goals and Scope the most goal of compiling the sort of e-book is to supply an authoritative supplementary textual content for higher department undergraduate and graduate scholars, who can have selected a textual content booklet from a number of selection available in the market. This publication collects kinds of articles: (1) entire evaluation articles from prime specialists to check the advancements in recommendations, equipment, innovations, and functions in a sub-field of environmental distant sensing; and (2) targeted overview articles in recognize of the most recent advancements in a sizzling subject region with one to 2 concise case experiences. as a result nature of articles accumulated, this e-book may also function an outstanding reference e-book for researchers, scientists, engineers, and policy-makers who desire to stay alongside of new advancements in environmental distant sensing"--Provided by means of writer. Read more... distant sensing of plants with landsat imagery / Conghe music, Joshua M. grey, and Feng Gao -- evaluation of chosen moderate-resolution imaging spectroradiometer algorithms, information items, and purposes / Yang Shao, Gregory N. Taff, and Ross S. Lunetta -- Lidar distant sensing / Sorin C. Popescu -- Impulse artificial aperture radar / Giorgio Franceschetti and James Z. Tatoian -- Hyperspectral distant sensing of crops bioparameters / Ruiliang Pu and Peng Gong -- Thermal distant sensing of city parts: theoretical backgrounds and case experiences / Qihao Weng -- Atmospheric correction equipment for optical distant sensing imagery of land / Rudolf Richter -- 3-dimensional geometric correction of Earth commentary satellite tv for pc facts / Thierry Toutin -- distant sensing picture category / Dengsheng Lu ... [et al.] -- Object-based snapshot research for plants mapping and tracking / Thomas Blaschke, Kasper Johansen, and Dirk Tiede -- Land-use and land-cover swap detection / Dengsheng Lu ... [et al.] -- distant sensing of atmosphere constitution and serve as / Alfredo R. Huete and Edward P. Glenn -- distant sensing of dwell gasoline moisture / Stephen R. Yool -- woodland switch research utilizing time-series landsat observations / Chengquan Huang -- Satellite-based modeling of gross fundamental construction of terrestrial ecosystems / Xiangming Xiao ... [et al.] -- worldwide croplands and their water use from distant sensing and nonremote sensing views / Prasad S. Thenkabail ... [et al.] -- distant sensing of aerosols from house: a evaluation of aerosol retrieval utilizing the moderate-resolution imaging spectroradiometer / guy Sing Wong and Janet Nichol -- distant estimation of chlorophyll-a focus in inland, estuarine, and coastal waters / Anatoly A. Gitelson ... [et al.] -- Retrievals of turbulent warmth fluxes and floor soil water content material by way of distant sensing / George P. Petropoulos and Toby N. Carlson -- distant sensing of city biophysical environments / Qihao Weng -- improvement of the USGS nationwide Land-Cover Database over twenty years / George Xian, Collin Homer, and Limin Yang
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Extra info for Advances in environmental remote sensing : sensors, algorithms, and applications
Int J Remote Sens 21(11):2163–83. , M. A. Wulder, N. C. Coops, J. Linke, G. McDermid, J. G. Masek, F. Gao, and J. C. White. 2009b. A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS. Remote Sens Environ 113(8):1613–27. , M. A. Wulder, N. C. Coops, N. Seitz, J. C. White, F. Gao, J. G. Masek, and G. Stenhouse. 2009a. Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model.
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1) Remote Sensing of Vegetation with Landsat Imagery 9 where θ is the solar zenith angle, P(θ) is the canopy gap fraction in the direction of θ, and G(θ) is the leaf projection factor of unit LAI in the direction of θ. 1. Most of the optical instruments measure P(θ) for the canopy. Given P(θ) and certain assumption for G(θ), we can obtain ΩL, that is, the effective LAI (Le), but not L. The gap fractions measured by optical instruments are the combined effects of leaf and woody components. 2) where α is the woody to total area ratio, which depends on the vegetation type.