By Weng Q. (ed.)
"Featuring individuals from 17 nations, this ebook systematically provides contemporary advances in environmental distant sensing. First, the textual content offers the newest advancements in distant sensing info and sensor structures, paying distinctive awareness to LIDAR, excessive spatial-resolution sensing, hyperspectral sensing, and information fusion of assorted sensors. subsequent, authors research state-of-the-art algorithms and strategies for the detection, interpretation, characterization, and modeling of Earth floor good points. the ultimate part explores purposes of present information, sensors, algorithms, and methods to the distant sensing of land, plants, water, and air."--Provided by way of publisher."1. goals and Scope the most objective of compiling one of these ebook is to supply an authoritative supplementary textual content for higher department undergraduate and graduate scholars, who can have selected a textual content booklet from numerous selection out there. This ebook collects kinds of articles: (1) finished evaluation articles from top professionals to envision the advancements in thoughts, equipment, strategies, and functions in a sub-field of environmental distant sensing; and (2) concentrated assessment articles in recognize of the most recent advancements in a sizzling subject region with one to 2 concise case reviews. as a result of nature of articles accrued, this e-book may also function an exceptional reference booklet 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 crops with landsat imagery / Conghe music, Joshua M. grey, and Feng Gao -- evaluate 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 tools for optical distant sensing imagery of land / Rudolf Richter -- third-dimensional geometric correction of Earth statement satellite tv for pc facts / Thierry Toutin -- distant sensing photo type / 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 reside gas moisture / Stephen R. Yool -- wooded area switch research utilizing time-series landsat observations / Chengquan Huang -- Satellite-based modeling of gross basic 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 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 via 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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Additional info for Advances in environmental remote sensing : sensors, algorithms, and applications
2006). It provides valuable information for applications that require high resolution in both time and space (Hilker et al. 2009a). This model uses a weighting function to fuse MODIS and Landsat data by introducing additional information from spectrally similar neighboring pixels. The changes of reflectance from coarse-resolution homogeneous pixels are applied to the fine-resolution image. Simulations and predictions based on actual Landsat and MODIS images show that STARFM can predict reflectance well if coarse-resolution homogeneous pixels exist in the image (Gao et al.
The Li–Strahler model assumes the pixel size is significantly larger than the tree crown size, yet there is significant variation in tree counts among the pixels covering a forest stand. Thus, the forest stand is significantly larger than the pixel size. The spatial resolution of Landsat TM/ETM+ data meets the aforementioned requirements well. Franklin and Strahler (1988) and Wu and Strahler (1994) achieved some success in estimating tree crown size with the Li–Strahler model. However, in more comprehensive studies, Woodcock et al.
Therefore, the continuous estimation of LAI over a large geographic area via remotely sensed data is of high interest to scientists. In fact, it is the only viable option for estimating LAI continuously over the Earth’s land surface. Estimating LAI from remotely sensed data is highly challenging due to a number of factors. It is very difficult to obtain accurate LAI on the ground for model development and validation using remotely sensed data, particularly for forested areas. Two approaches can be used to obtain LAI on the ground, as reviewed multiple times (Breda 2003; Weiss et al.