[1] MODIS-based leaf area index (LAI) and normalized difference vegetation index (NDVI) are used to examine detailed information regarding actual growing season and total annual production for various regions. Overall, MODIS LAI has larger variability and demonstrates more information regarding the evolution and structure of the seasonal vegetation characteristics. In contrast, the NDVI saturat...

This study evaluates the performances of three global satellite datasets (Advanced Very High Resolution Radiometer (AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS) and Satellite pour l’ observation de la Terre (SPOT) of the Mongolian Plateau, where in situ observation is insufficient to assess vegetation dynamics on terrestrial systems. We give a comprehensive assessment of the hi...

Watershed management has different effects on the amount of runoff and sediment and alteration ofhydrological features in a watershed. In this study, the effects of watershed management on runoff was investigated in the Anbaranchaywatershed. For this purpose, the topography data in format of a digital elevation model, land use, soil hydrological groups and watershed managemetrigeon,and also usi...

This study investigated the spatiotemporal variation of vegetation growth and the influence of climatic drivers from 1982 to 2011 across China using datasets from the Normalized Difference Vegetation Index (NDVI) and climatic drivers. Long term trends, significance and abrupt change points of interannual NDVI time series were analyzed. We applied both simple regression and multi-regression mode...

Executive Summary The EPA Region VII R-EMAP project seeks to determine the condition of fisheries resources in the states of Missouri, Kansas, and Nebraska. Preliminary evidence from fish tissue studies has suggested that fisheries resources in these states have been adversely impacted by chemical pollutants. The Region VII R-EMAP study consequently focuses on the following questions: 1) What i...

In recent decades, the monitoring of vegetation dynamics has become crucial because of its important role in terrestrial ecosystems. In this study, a satellite-derived normalized difference vegetation index (NDVI) was combined with climate factors to explore the spatiotemporal patterns of vegetation change during the growing season, as well as their driving forces in China from 2001 to 2012. Ou...

Vegetation indices play an important role in monitoring variations in vegetation.The Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Groupand the Normalized Difference Vegetation Index (NDVI) are both global-based vegetationindices aimed at providing consistent spatial and temporal information regarding globalvegetation. However, many environmental factors such as atmosphe...

Normalized Difference Vegetation Index (NDVI) is generally recognized as a good indicator of terrestrial vegetation productivity. Understanding climatic influences, in particular precipitation and temperature, on NDVI enables prediction of productivity changes under different climatic scenarios. We examined temporal responses of remotely sensed NDVI to precipitation and temperature during a nin...

A 3-yr study was conducted to determine the degree of aggregation of stink bugs and boll injury in cotton, Gossypium hirsutum L., and their spatial association with a multispectral vegetation index (normalized difference vegetation index [NDVI]). Using the spatial analysis by distance indices analyses, stink bugs were less frequently aggregated (17% for adults and 4% for nymphs) than boll injur...

[1] In their paper, Lanfredi et al. [2003] raise several issues about our analysis of normalized difference vegetation index (NDVI) data for areas north of 30 N between 1981 and 1999. As we describe below, their comments represent a basic misunderstanding of the data, a misrepresentation of our work, or an anticipation of our recently published results. Here we address these issues in order in ...