نتایج جستجو برای: red edge normalized difference vegetation index rendvi
تعداد نتایج: 1096411 فیلتر نتایج به سال:
Very high resolution (VHR) satellite remote sensing systems are now capable of providing imagery with similar spatial detail to aerial photography, but with superior spectral information. This research investigates the hypothesis that it should be possible to use multispectral IKONOS images to quantify urban vegetation, obtaining similar accuracy to that achieved from false colour aerial photog...
Despite conservation efforts in the U.S. Great Plains, woody species have continued to expand at an unprecedented rate, threatening key ecosystem services and resilience. Cross-scale monitoring of these grasslands is successful integrative management strategies. In this study we measured plant optical traits derived from hyperspectral proximal sensing techniques with a field spectrometer, coupl...
This study is aimed at demonstrating the feasibility of the large scale LAI inversion algorithms using red and near infrared reflectance obtained from high resolution satellite imagery. Radiances in digital counts were obtained in 10m resolution acquired on cloud free day of August 23, 2007, by the SPOT 5 high resolution geometric (HRG) instrument onmostly temperatehardwood forest located in th...
The application of crop residue has become increasingly important for providing a barrier against water and wind erosion and improving soil organic matter content, infiltration, evaporation, temperature, and soil structure. The objectives of this work were to: (i) estimate maize residue cover (MRC) from Landsat-8 OLI images using seven vegetation indices (VIs) and eight textural features; and (...
Across the globe, forest carbon sink is increasingly vulnerable to an expanding array of low- moderate-severity disturbances. However, some ecosystems exhibit functional resistance (i.e., capacity continue functioning as usual) following disturbances such extreme weather events and insect or fungal pathogen outbreaks. Unlike severe (e.g., stand-replacing wildfires), moderate severity do not alw...
As a component of a multisensor approach to monitoring carbon sequestration sites for possible leaks of the CO₂ gas from underground reservoirs, a low-cost multispectral imaging system has been developed for indirect detection of gas leaks through observations of the resulting stress in overlying vegetation. The imager employs front-end optics designed to provide a full 50° field of view with a...
The drought caused a series of effects on many sectors of economy, especially natural resources. During two last decades, Iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. This paper discusses the detection of agricultural drought severity over the rangelands of Markazi Province between 2000 and 2014 us...
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast, accurate non-destructive monitoring of biomass enables various applications related to crop growth. In this paper, strawberry dry weight was modeled using 4 canopy geometric parameters (area, average height, volume, standard deviation height) 25 spectral variables (5 band original reflectance values 20 ve...
Background: Monitoring terrestrial vegetation cover condition is important to evaluate its current condition and to identify potential vulnerabilities. Due to simplicity and low cost, point intercept method has been widely used in evaluating grassland surface and quantifying cover conditions. Field-based digital photography method is gaining popularity for the purpose of cover estimate, as it c...
The Normalization Difference Vegetation Index (NDVI), for many years, was widely used in remote sensing the detection of vegetation land cover. This index uses red channel radiances (i.e., 0.66 μm reflectance) and near-IR 0.86 reflectance). In heavy chlorophyll absorption area, is located, while high reflectance plateau canopies, Near-IR situated. Senses channels (Red & Near- IR) read varia...
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