نتایج جستجو برای: vegetation indices

تعداد نتایج: 127108  

Journal: :Int. J. Applied Earth Observation and Geoinformation 2015
Angela Kross Heather McNairn David Lapen Mark Sunohara Catherine Champagne

Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean) with different canopy structure, leaf structure and photosyn...

باغستانی , ناصر , ثواقبی, محمد حسین , رحیمیان , محمد حسن , عبداللهی, جلال ,

The present study discusses a method used to produce updated information about vegetation cover in arid and semi-arid zones, using RS data and GIS technique. In this method, Landsat ETM+ data in 2002 was collected in an area of about 60000 ha in Nodoushan basin, Yazd, Iran. To collect the necessary ground data, 50 sites of different vegetation types were selected and the percentage of vegetatio...

Journal: :IOP Conference Series: Earth and Environmental Science 2018

2018
So-Ra Kim Woo-Kyun Lee Chul-Hee Lim Moonil Kim Menas C. Kafatos Seung-Ho Lee Sung-Soon Lee

Bursaphelenchus xylophilus, the pine wood nematode (PWN) which causes pine wilt disease, is currently a serious problem in East Asia, including in Japan, Korea, and China. This paper investigates the hyperspectral analysis of pine wilt disease to determine the optimal detection indices for measuring changes in the spectral reflectance characteristics and leaf reflectance in the Pinus thunbergii...

Journal: :international journal of environmental research 2010
m.l. lin ch.m. chu b.w. tsai

the objective of this study is to develop a novel methodology integrating remote sensing, geographic information system technology and local spatial autocorrelation geo-computation for quick drought assessment. one group of drought indices, based on the condition of the vegetation, includes the normalized difference vegetation index (ndvi), anomaly of normalized difference vegetation index (ndv...

2015
David M. Kim Hairong Zhang Haiying Zhou Tommy Du Qian Wu Todd C. Mockler Mikhail Y. Berezin

The optical signature of leaves is an important monitoring and predictive parameter for a variety of biotic and abiotic stresses, including drought. Such signatures derived from spectroscopic measurements provide vegetation indices - a quantitative method for assessing plant health. However, the commonly used metrics suffer from low sensitivity. Relatively small changes in water content in mode...

Nowadays, the satellite data and remote sensing technologies are widely known as efficient tools for the inspection, identification and management of land resources and precision agriculture in most countries. Satellite information could be used in supplying basic and updated information in the estimation of vegetation cover map, irrigated land area and some biological indices of the major agri...

ژورنال: علوم آب و خاک 2008
باغستانی , ناصر , ثواقبی, محمد حسین , رحیمیان , محمد حسن , عبداللهی, جلال ,

The present study discusses a method used to produce updated information about vegetation cover in arid and semi-arid zones, using RS data and GIS technique. In this method, Landsat ETM+ data in 2002 was collected in an area of about 60000 ha in Nodoushan basin, Yazd, Iran. To collect the necessary ground data, 50 sites of different vegetation types were selected and the percentage of vegetatio...

2003
L. G. Ferreira H. Yoshioka A. Huete E. E. Sano

The Brazilian Cerrado biome comprises a vertically structured mosaic of grassland, shrubland, and woodland physiognomies with distinct phenology patterns. In this study, we investigated the utility of spectral vegetation indices in differentiating these physiognomies and in monitoring their seasonal dynamics. We obtained high spectral resolution reflectances, during the 2000 wet and dry seasons...

2013
Linhai Zhu Xuechun Zhao Liming Lai Jianjian Wang Lianhe Jiang Jinzhi Ding Nanxi Liu Yunjiang Yu Junsheng Li Nengwen Xiao Yuanrun Zheng Glyn M. Rimmington

Assessing oil pollution using traditional field-based methods over large areas is difficult and expensive. Remote sensing technologies with good spatial and temporal coverage might provide an alternative for monitoring oil pollution by recording the spectral signals of plants growing in polluted soils. Total petroleum hydrocarbon concentrations of soils and the hyperspectral canopy reflectance ...

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