Use of smartphone to derive the leaf area index

سال انتشار: 1393
محل انتشار: کنفرانس بین المللی توسعه پایدار، راهکارها و چالش ها با محوریت کشاورزی، منابع طبیعی، محیط زیست و گردشگری
کد COI اختصاصی: ICSDA01_0167
زبان مقاله: انگلیسی
تعداد مشاهده: 693

نویسندگان

Master of Geoinformation Science, Centre for Geo-information, Wageningen University and Research Centre, ۶۷۰۰ AA Wageningen, The Netherland,

Shiva Yazdanifard

Master student of Natural Resources Engineering (Environmental assessment and planning) ,Department of Environmental and Energy of Islamic Azad University Science and Research of Tehran

چکیده

Leaf area index (LAI) is one of most used and essential vegetation parameter for numerous studies of atmosphere- vegetation interaction, as it is very often a fundamental parameter for quantitative analysis of many physical and biological processes related to vegetation dynamics and its effects. Direct methods for LAI estimation are very accurate, but they are destructive and time consuming and hardly applicable for forest ecosystem, On the other hand indirect methods (e.g. LAI-2000 PCA, hemispherical photography and other methods of ceptometers) are fast and non-destructive, but these instruments are expensive, low portability. Nowadays, smartphones are become ubiquitous and their advance properties (high camera quality, GPS, and high memory capacity) have made them suitable candidate for indirect methods. The main objective of this study was to test the Pocket LAI app developed by CSIRO for LAI estimation based on the use of sensors and processing power normally present in most of the modern mobile phones. The comparison of the LAI of hemispherical photography and smartphone at three heights (0.5m, 1m, and 1.5m) indicates that 0.5 meter (R2=0.7776) is the most suitable height for smartphone to capture images and indicates their comparable performance. The comparison of the LAI of LAI-2000 PCA and smartphone at three heights for evaluation indicates that there is not significant correlation at any heights and same result between hemispherical photography and LAI-2000 PCA (R2=0.0134) . The comparison of LAI from LAI-2000 PCA and other two approaches indicates that LAI-2000 PCA underestimate the LAI. A possible reason for this can be caused by sensor position, canopy height and user error.

کلیدواژه ها

Leaf area index, hemispherical photography, Pocket LAI, LAI-2000

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