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Integrating remote sensing, geograph...

City University of New York., Engineering.

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Integrating remote sensing, geographic information system and modeling for estimating crop yield.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Integrating remote sensing, geographic information system and modeling for estimating crop yield./
作者:	Salazar, Luis Alonso.
面頁冊數:	287 p.
附註:	Adviser: Leonid Roytman.
Contained By:	Dissertation Abstracts International68-10B.
標題:	Engineering, Agricultural. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3283213
ISBN:	9780549262336

Integrating remote sensing, geographic information system and modeling for estimating crop yield.
Salazar, Luis Alonso.

Integrating remote sensing, geographic information system and modeling for estimating crop yield. - 287 p.

Adviser: Leonid Roytman.

Thesis (Ph.D.)--City University of New York, 2007.

This thesis explores various aspects of the use of remote sensing, geographic information system and digital signal processing technologies for broad-scale estimation of crop yield in Kansas.

ISBN: 9780549262336Subjects--Topical Terms:

1019504
Engineering, Agricultural.

Integrating remote sensing, geographic information system and modeling for estimating crop yield.
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245 1 0 $a Integrating remote sensing, geographic information system and modeling for estimating crop yield.
300 $a 287 p.
500 $a Adviser: Leonid Roytman.
500 $a Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6869.
502 $a Thesis (Ph.D.)--City University of New York, 2007.
520 $a This thesis explores various aspects of the use of remote sensing, geographic information system and digital signal processing technologies for broad-scale estimation of crop yield in Kansas.
520 $a Recent dry and drought years in the Great Plains have emphasized the need for new sources of timely, objective and quantitative information on crop conditions. Crop growth monitoring and yield estimation can provide important information for government agencies, commodity traders and producers in planning harvest, storage, transportation and marketing activities. The sooner this information is available the lower the economic risk translating into greater efficiency and increased return on investments.
520 $a Weather data is normally used when crop yield is forecasted. Such information, to provide adequate detail for effective predictions, is typically feasible only on small research sites due to expensive and time-consuming collections. In order for crop assessment systems to be economical, more efficient methods for data collection and analysis are necessary.
520 $a The purpose of this research is to use satellite data which provides 50 times more spatial information about the environment than the weather station network in a short amount of time at a relatively low cost. Specifically, we are going to use Advanced Very High Resolution Radiometer (AVHRR) based vegetation health (VH) indices as proxies for characterization of weather conditions.
590 $a School code: 0046.
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650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Remote Sensing. $3 1018559
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710 2 $a City University of New York. $b Engineering. $3 1018405
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