Thermal bidirectional gap probability model for row crop canopies and validation

YAN; Guangjian(阎广建); IANG; Lingmei(蒋玲梅); WANG; Jindi(王锦地); CHEN; Liangfu(陈良富); LI; Xiaowen(李小文)

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Thermal bidirectional gap probability model for row crop canopies and validation

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摘要

Based on the row structure model of Kimes and the mean gap probability model in single direction, we develop a bidirectional gap probability model for row crop canopies. A concept of overlap index is introduced in this model to consider the gaps and their correlation between the sun and view directions. Multiangular thermal emission data sets were measured in Shunyi, Beijing, and these data are used in model validation in this paper. By comparison with the Kimes model that does not consider the gap probability, and the model considering the gap in view direction only, it is found that our bidirectional gap probability model fits the field measurements over winter wheat much better.

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来源
《中国科学》 |2003年第12期|P.1241-1249,87|共10页
作者
YAN; Guangjian(阎广建); IANG; Lingmei(蒋玲梅); WANG; Jindi(王锦地); CHEN; Liangfu(陈良富); LI; Xiaowen(李小文);
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作者单位

Research;

Center;

for;

Remote;

Sensing;

and;

GIS,;

Department;

of;

Geography;

and;

Beijing;

Key;

Laboratory;

for;

Remote;

Sensing;

of;

Environment;

and;

Digital;

Cities,;

Beijing;

Normal;

University,;

Beijing;

100875,;

China;

Research;

Center;

for;

Remote;

Sensing;

and;

GIS,;

Department;

of;

Geography;

and;

Beijing;

Key;

Laboratory;

for;

Remote;

Sensing;

of;

Environment;

and;

Digital;

Cities,;

Beijing;

Normal;

University,;

Beijing;

100875,;

China;

Research;

Center;

for;

Remote;

Sensing;

and;

GIS,;

Department;

of;

Geography;

and;

Beijing;

Key;

Laboratory;

for;

Remote;

Sensing;

of;

Environment;

and;

Digital;

Cities,;

Beijing;

Normal;

University,;

Beijing;

100875,;

China;

LARSIS,;

Institute;

of;

Remote;

Sensing;

Application,;

Chinese;

Academy;

of;

Sciences,;

Beijing;

100101,;

China;

Research;

Center;

for;

Remote;

Sensing;

and;

GIS,;

Department;

of;

Geography;

and;

Beijing;

Key;

Laboratory;

for;

Remote;

Sensing;

of;

Environment;

and;

Digital;

Cities,;

Beijing;

Normal;

University,;

Beijing;

100875,;

China;

Departme;

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原文格式 PDF
正文语种 CHI
中图分类地质学;
关键词
row; crop,; bidirectional; gap; probability,; thermal; emission,; hot; spot; effect.;

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Thermal bidirectional gap probability model for row crop canopies and validation

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