Arid
DOI10.1016/j.compag.2016.07.019
Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery
Asgarian, Ali; Soffianian, Alireza; Pourmanafi, Saeid
通讯作者Soffianian, Alireza
来源期刊COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
EISSN1872-7107
出版年2016
卷号127页码:531-540
英文摘要

Crop type mapping and studying the dynamics of agricultural fields in arid and semi-arid environments are of high importance since these ecosystems have witnessed an unprecedented rate of area decline during the last decades. Crop type mapping using medium spatial resolution imagery data has been considered as one of the most important management tools. Remotely sensed data provide reliable, cost and time effective information for monitoring, analyzing and mapping of agricultural land areas. This research was conducted to explore the utility of Landsat 8 imagery data for crop type mapping in a highly fragmented and heterogeneous agricultural landscape in Najaf-Abad Hydrological Unit, Iran. Based on the phenological information from long-term field surveys, five Landsat 8 image scenes (from March to October) were processed to classify the main crop types. In this regard, wheat, barley, alfalfa, and fruit trees have been classified applying inventive decision tree algorithms and Support Vector Machine was used to categorize rice, potato, vegetables, and greenhouse vegetable crops. Accuracy assessment was then undertaken based on spring and summer crop maps (two confusion matrices) that resulted in Kappa coefficients of 0.89. The employed images and classification methods could form a basis for better crop type mapping in central Iran that is undergoing severe drought condition. (C) 2016 Elsevier B.V. All rights reserved.


英文关键词Remote sensing Landsat 8 Agriculture Crop type mapping Phenological information
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000383527100053
WOS关键词SATELLITE IMAGERY ; CLASSIFICATION ; IDENTIFICATION ; PROFILES ; TM
WOS类目Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/192149
作者单位Isfahan Univ Technol, Dept Nat Resources, Esfahan 8415683111, Iran
推荐引用方式
GB/T 7714
Asgarian, Ali,Soffianian, Alireza,Pourmanafi, Saeid. Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery[J],2016,127:531-540.
APA Asgarian, Ali,Soffianian, Alireza,&Pourmanafi, Saeid.(2016).Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery.COMPUTERS AND ELECTRONICS IN AGRICULTURE,127,531-540.
MLA Asgarian, Ali,et al."Crop type mapping in a highly fragmented and heterogeneous agricultural landscape: A case of central Iran using multi-temporal Landsat 8 imagery".COMPUTERS AND ELECTRONICS IN AGRICULTURE 127(2016):531-540.
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