By Weng Q. (ed.)
"Featuring participants from 17 international locations, this e-book systematically offers fresh advances in environmental distant sensing. First, the textual content offers the newest advancements in distant sensing information and sensor structures, paying detailed realization to LIDAR, excessive spatial-resolution sensing, hyperspectral sensing, and knowledge fusion of assorted sensors. subsequent, authors learn state of the art algorithms and strategies for the detection, interpretation, characterization, and modeling of Earth floor positive factors. the ultimate part explores functions of present information, sensors, algorithms, and strategies to the distant sensing of land, crops, water, and air."--Provided through publisher."1. goals and Scope the most goal of compiling this type 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 various selection out there. This ebook collects different types of articles: (1) complete evaluate articles from major specialists to ascertain the advancements in recommendations, tools, recommendations, and purposes in a sub-field of environmental distant sensing; and (2) targeted evaluate articles in admire of the most recent advancements in a sizzling subject zone with one to 2 concise case experiences. end result of the nature of articles gathered, this ebook may also function an excellent reference e-book for researchers, scientists, engineers, and policy-makers who desire to stay alongside of new advancements in environmental distant sensing"--Provided via writer. Read more... distant sensing of crops with landsat imagery / Conghe track, Joshua M. grey, and Feng Gao -- assessment of chosen moderate-resolution imaging spectroradiometer algorithms, facts items, and functions / Yang Shao, Gregory N. Taff, and Ross S. Lunetta -- Lidar distant sensing / Sorin C. Popescu -- Impulse man made 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 reviews / Qihao Weng -- Atmospheric correction equipment 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 picture category / Dengsheng Lu ... [et al.] -- Object-based picture 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 dwell gas moisture / Stephen R. Yool -- woodland switch research utilizing time-series landsat observations / Chengquan Huang -- Satellite-based modeling of gross basic creation 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 area: a assessment 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
91) regression explained the variation in LAI well. However, Peterson, Westman, and Stephenson (1986) cautioned the use of the empirical relationships they developed for a particular vegetation zone within the region. A study by Spanner (1994) found that the empirical relationship between LAI and spectral vegetation indices strongly depends on canopy cover and understory condition. To reduce the canopy cover effect, Nemani et al. (1993) used the mid-infrared band to correct NDVI, resulting in an improved relationship between NDVI and LAI.
However, the application of such species-specific biomass allometery to sampling plots cannot provide spatially explicit distribution of biomass over large areas. 0 Greenness Biomass (Mg/ha) over a region. Three types of remotely sensed data are investigated in the literature for their potential use in mapping biomass: optical (Sader et al. 1989; Foody et al. 1996), radar (Dobson et al. 1995), and lidar (Lefsky et al. 1999). The mapping of biomass using remotely sensed data from radar and lidar sensors is beyond the scope of this chapter.
R. Kendra et al. 1995. Estimation of forest biophysical characteristics in northern Michigan with SIR-C/X-SAR. IEEE Trans Geosci Remote Sens 33(4):877–95. , L. Harrie, and A. Kuusk. 2001. Investigating relationships between Landsat ETM plus sensor data and leaf area index in a boreal conifer forest. Remote Sens Environ 78(3):239–51. Elmore, A. , J. F. Mustard, S. J. Manning, and D. B. Lobell. 2000. Quantifying vegetation change in semiarid environments: Precision and accuracy of spectral mixture analysis and the normalized difference vegetation index.
Advances in environmental remote sensing : sensors, algorithms, and applications by Weng Q. (ed.)