نتایج جستجو برای: normalized difference vegetation index
تعداد نتایج: 857371 فیلتر نتایج به سال:
Green Leaf Area Index (GLAI) and Green Biomass (GBM) are two of the fundamental biophysical properties indicating vegetation physiological status. In the current research a new three channel normalized band ratio algorithm i.e. "Weighted Normalized Crop Index (WNCI)" is proposed for remote estimation of vegetation GLAI and GBM. WNCI takes into account three of the most common vegetation sensiti...
The performance of vegetation indexes derived from moderate resolution imaging spectroradiometer (MODIS) sensors is explored for drought monitoring in the forests of Northern Tunisia; representing a transition zone between the Mediterranean Sea and the Sahara Desert. We investigated the suitability of biomass and moisture vegetation indexes for vegetation water content expressed by the equivale...
Drought phenomenon with different goals including planning, water sources management and dealing with the problems due to water shortage has been investigated by most scholars. This research examined the relationship between drought and the normalized difference vegetation index (NDVI)in Qorveh and Dehgolan region in Kurdistan, Iran. To determine years with meteorological drought, index of Stan...
Stress-related biophysical variables of capital intensive orchard crops can be estimated with proxies via spectral vegetation indices from off-nadir viewing satellite imagery. However, variable viewing compositions affect the relationship between spectral vegetation indices and stress-related variables (i.e., chlorophyll content, water content and Leaf Area Index (LAI)) and could obstruct chang...
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 study area is a part of Lojing and it lies between latitude 4° 45’ 30” N – 49’ 0” longitude 101° E 48’ 30”E. This was focused on assessing vulnerable locations landslide based satellite imageries different years (2006, 2014 2015) which selected for visual interpretation vegetation indices (VIs). As result, there were 18 determined had occurred. With the aid historical imagery obtained quant...
Remote sensing has frequently been employed to monitor extreme climatic events, especially droughts, by identifying the anomalies of vegetation activity from regional global scale. However, limited research addressed performance remote on detecting precipitation events. By using Middle and Lower Reaches Yangtze River (MLR-YR) in China as an example, this paper examines application satellite-der...
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