APPLICATION OF MULTISPECTRAL REMOTELY-SENSED IMAGERY IN AGRICULTURE

被引：0

作者：

Kokhan, S. ^{[1
]}

机构：

[1] Natl Univ Life & Environm Sci Ukraine, Dept Geoinformat Technol, UA-03040 Kiev, Ukraine

来源：

100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 2 | 2010年 / 38卷

关键词：

Remote sensing; Image Classification; Agricultural Crops; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Most classification projects now make use of digital classification procedures guided by human interpretation. Because of remotely sensed data could be particularly efficient for land use mapping, evaluation of crop status, the objectives of the study are represented by agricultural crops within the crop rotation during the spring-summer period. The use of various classification techniques is shown in the study. The satellite images considered for this paper were IRS-P6/LISS-4 and IRS-1D/LISS-3. The final stage of the classification process involves an accuracy assessment.

引用

页码：337 / 341

页数：5

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