J. Anim. Sci. Vol. 87, E-Suppl. 2/J. Dairy Sci. Vol. 92, E-Suppl. 1 NDMI. The correlation between DMI and NDMI was 0.52 (P<0.001) and were most strongly associated during the first 10 weeks of lactation, after which point DMI was less than NDMI. The correlation between FCM and DMI across all herds was 0.23 (P<0.001). However, there was considerable variation among herds, with correlations betwe...

In this study, we used the time series images of spectral reflectance from TERRA satellite to compute normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI) in the Chaoyang City, western Liaoning, north-eastern China. Time-series data of NDVI and NDMI derived from satellite images of the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to sh...

Oak decline poses a substantial threat to forest health in the Ozark Highlands of northern Arkansas and southern Missouri, where coupled with diseases and insect infestations, it has damaged large tracts of forest lands. Forest Health Monitoring (FHM) crown health indicators (e.g. crown dieback, etc.), collected by the U.S. Forest Service’s Forest Inventory and Analysis (FIA) program, provide a...

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...

The drought in Serbia the summer of 2017 heavily affected agricultural production, decreasing yields maize, sunflower, soybean, and sugar beet. Monitoring moisture levels crops can provide timely information about potential risk within a growing season, thus helping to create an early warning system for various stakeholders. purpose this study was quantify level stress during consequences that ...

This paper describes the use of remotely sensed data to measure vegetation variables such as basal area, biomass and stand volume. The objective this research was developed regression models estimate area (BA), aboveground (AGB), volume (SV) using Landsat-based indices. examined indices were SAVI, MSAVI, EVI, NBR, NBR2 NDMI. Regression based on least-squared method several forms equation, i.e.,...

Highways provide key social and economic functions but generate a wide range of environmental consequences that are poorly quantified understood. Here, we developed before–during–after control-impact remote sensing (BDACI-RS) approach to quantify the spatial temporal changes impacts during after construction Wujing Highway in China using three buffer zones (0–100 m, 100–500 500–1000 m). Results...