By Weng Q. (ed.)

ISBN-10: 1420091751

ISBN-13: 9781420091755

"Featuring individuals from 17 nations, this e-book systematically offers contemporary advances in environmental distant sensing. First, the textual content offers the newest advancements in distant sensing info and sensor structures, paying specified realization to LIDAR, excessive spatial-resolution sensing, hyperspectral sensing, and information fusion of varied sensors. subsequent, authors learn state-of-the-art algorithms and methods for the detection, interpretation, characterization, and modeling of Earth floor good points. the ultimate part explores functions of present info, 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 ebook is to supply an authoritative supplementary textual content for higher department undergraduate and graduate scholars, who could have selected a textual content booklet from a number of selection available in the market. This booklet collects varieties of articles: (1) finished assessment articles from top experts to check the advancements in innovations, tools, options, and functions in a sub-field of environmental distant sensing; and (2) concentrated overview articles in recognize of the newest advancements in a sizzling subject region with one to 2 concise case experiences. as a result nature of articles gathered, this e-book may also function a superb reference e-book for researchers, scientists, engineers, and policy-makers who desire to stay alongside of new advancements in environmental distant sensing"--Provided through writer.  Read more... distant sensing of plants with landsat imagery / Conghe track, Joshua M. grey, and Feng Gao -- assessment of chosen moderate-resolution imaging spectroradiometer algorithms, facts 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 plants bioparameters / Ruiliang Pu and Peng Gong -- Thermal distant sensing of city parts: theoretical backgrounds and case reviews / 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 snapshot category / Dengsheng Lu ... [et al.] -- Object-based photograph research for crops mapping and tracking / Thomas Blaschke, Kasper Johansen, and Dirk Tiede -- Land-use and land-cover swap detection / Dengsheng Lu ... [et al.] -- distant sensing of environment constitution and serve as / Alfredo R. Huete and Edward P. Glenn -- distant sensing of stay gasoline moisture / Stephen R. Yool -- woodland swap research utilizing time-series landsat observations / Chengquan Huang -- Satellite-based modeling of gross fundamental construction of terrestrial ecosystems / Xiangming Xiao ... [et al.] -- international croplands and their water use from distant sensing and nonremote sensing views / Prasad S. Thenkabail ... [et al.] -- distant sensing of aerosols from area: a evaluate 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 20 years / George Xian, Collin Homer, and Limin Yang

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Extra info for Advances in environmental remote sensing : sensors, algorithms, and applications

Sample text

Therefore, the same forest can have very different spectral signals in different seasons (Song and Woodcock 2003b). Second, the position of the sun can change significantly in different seasons, caus­ing changes in the proportions of sunlit and shaded objects viewable by the sensors. Variations in local topography can further complicate the problem. The sun–object–sensor geometry effect can be modeled by biophysical models, such as the GORT-ZELIG model (Song, Woodcock and Li 2002); but the phenological effect is difficult to incorporate in these models to account for changes in canopy reflectance.

Breda, N. J. J. 2003. Ground-based measurements of leaf area index: A review of methods, instruments and current controversies. J Exp Bot 54(392):2403–17. , J. M. Chen, S. G. Leblanc, and J. Cihlar. 2000. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: An image and model analysis. Remote Sens Environ 71(1):16–25. , B. L. Markham, and D. L. Helder. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors.

Determining successional stage of temperate coniferous forests with Landsat satellite data. Photogr Eng Remote Sens 59(2):239–46. Foody, G. M. 2003. Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development. Int J Remote Sens 24(20):4035–46. Foody, G. , G. Palubinskas, R. M. Lucas, P. J. Curran, and M. Honzak. 1996. Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data.

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Advances in environmental remote sensing : sensors, algorithms, and applications by Weng Q. (ed.)

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