نتایج جستجو برای: we adopted the normalized difference vegetation index ndvi

تعداد نتایج: 16179067  

Journal: :Anais da Academia Brasileira de Ciencias 2012
Fábio M Breunig Lênio S Galvão Antônio R Formaggio José C N Epiphanio

Directional effects introduce a variability in reflectance and vegetation index determination, especially when large field-of-view sensors are used (e.g., Moderate Resolution Imaging Spectroradiometer - MODIS). In this study, we evaluated directional effects on MODIS reflectance and four vegetation indices (Normalized Difference Vegetation Index - NDVI; Enhanced Vegetation Index - EVI; Normaliz...

Journal: :Remote Sensing 2015
Yahaya Z. Ibrahim Heiko Balzter Jörg Kaduk Compton J. Tucker

Areas affected by land degradation in Sub-Saharan West Africa between 1982 and 2012 are identified using time-series analysis of vegetation index data derived from satellites. The residual trend (RESTREND) of a Normalized Difference Vegetation Index (NDVI) time-series is defined as the fraction of the difference between the observed NDVI and the NDVI predicted from climate data. It has been wid...

2009
Martha K. Raynolds Donald A. Walker

An understanding of the factors controlling the distribution of arctic vegetation will allow better prediction of the effects of climate change. This study examines the effect of the age of landscapes on the distribution of arctic vegetation. We compared time since deglaciation with the distribution of vegetation types and Advanced Very High Resolution Radiometer (AVHRR) satellite measures of g...

Journal: :Remote Sensing 2010
Ainong Li Wei Deng Shunlin Liang Chengquan Huang

The pattern of vegetation change in response to global change still remains a controversial issue. A Normalized Difference Vegetation Index (NDVI) dataset compiled by the Global Inventory Modeling and Mapping Studies (GIMMS) was used for analysis. For the period 1982–2006, GIMMS-NDVI analysis indicated that monthly NDVI changes show homogenous trends in middle and high latitude areas in the nor...

2011
C. Serban

A primary goal of many remote sensing projects is to characterize the type, size and condition of vegetation present within a region. By combining data from two or more spectral bands we obtain what is commonly known as a vegetation index (VI), which enhances the vegetation signal, while minimizing solar irradiance and soil background effects. This study addresses the computation of Normalized ...

2014
Lin-Yu Xu Hao Yin Xiao-Dong Xie

Inhalable particulate matter (PM10) is a primary air pollutant closely related to public health, and an especially serious problem in urban areas. The urban heat island (UHI) effect has made the urban PM10 pollution situation more complex and severe. In this study, we established a health risk assessment system utilizing an epidemiological method taking the thermal environment effects into cons...

Journal: :Remote Sensing 2016
Katarzyna Ewa Lewinska Eva Ivits Mathias Schardt Marc Zebisch

Observed alternation of global and local meteorological patterns governs increasing drought impact, which puts at risk ecological balance and biodiversity of the alpine forest. Despite considerable attention, drought impact on forest ecosystems is still not entirely understood, and comprehensive forest drought monitoring has not been implemented. In this study, we proposed to bridge this gap ex...

Journal: :Remote Sensing 2010
Mary Beth Parent David Verbyla

We used twelve Landsat scenes from the 1980s–2009 and regional 2000–2009 MODIS data to examine the long-term trend in the normalized difference vegetation index (NDVI) within unburned areas of the Alaskan boreal forest. Our analysis shows that there has been a declining trend in NDVI in this region, with the strongest ―browning trend‖ occurring in eastern Alaska where the climate during the gro...

Journal: :ISPRS Int. J. Geo-Information 2017
Manjula Ranagalage Ronald C. Estoque Yuji Murayama

One of the major impacts associated with unplanned rapid urban growth is the decrease of urban vegetation, which is often replaced with impervious surfaces such as buildings, parking lots, roads, and pavements. Consequently, as the percentage of impervious surfaces continues to increase at the expense of vegetation cover, surface urban heat island (SUHI) forms and becomes more intense. The Colo...

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