نتایج جستجو برای: vegetation index

تعداد نتایج: 435690  

2011
Bradley Evans Tom J. Lyons Paul A. Barber Christine Stone Giles Hardy

Remote sensing of vegetation condition using high resolution digital multispectral imagery (DMSI) is an option for land managers interested in quantifying the distribution and extent of dieback in native forest. Crown condition is assessed as reference to the physical structure and foliage (i.e. density, transparency, extent and in-crown distribution) of a tree crown. At 20 sites in the Yalgoru...

Journal: :Journal of the Japan society of photogrammetry and remote sensing 1992

2013
Hira Jannat Butt

Detection of change is the measure of the distinct data framework and thematic change information that can direct to more tangible insights into underlying process involving land cover and landuse changes. Monitoring the locations and distributions of land cover changes is important for establishing links between policy decisions, regulatory actions and subsequent landuse activities. Change det...

ژورنال: اکوبیولوژی تالاب 2020
Bahreininejad, Babak , Jaberalansar, Zahra , Taghi Feizi, Mohammad ,

Gavkhouni wetland located in the center of Iranchr('39')s Plateau is one of the important habitat for native flora and fauna. The present study aimed to evaluate change trend of vegetation types and Soil Moisture Index in Gavkhouni wetland since recent 16 years. Vegetation types were identified via field visitation during 2011-2017 and the maps were generated in ArcGIS 10.5. SMI is derived us...

Journal: :محیط زیست طبیعی 0
میلاد جانعلی پور دانشجوی دکتری دانشکده مهندسی ژئوماتیک، دانشگاه صنعتی خواجه نصیر الدین طوسی علی محمدزاده استادیار دانشکده مهندسی ژئوماتیک، دانشگاه صنعتی خواجه نصیر الدین طوسی محمد جواد ولدان زوج دانشیار دانشکده مهندسی ژئوماتیک، دانشگاه صنعتی خواجه نصیر الدین طوسی

various indexes such as rvi, ndvi, savi and osavi have been proposed for vegetation detection using satellite images. these indexes have been obtained based on high reflectance of the vegetation in near infrared band and its high absorption in red band. basic defect of these indexes are using them in various regions without any changes in index structure. in other words, these indexes have not ...

2013
Jasper Van doninck Bernard De Baets Niko E.C. Verhoest

Multitemporal processing of synthetic aperture radar imagery, e.g. for the extraction of a soil moisture index, requires normalization of acquisitions from different locations in space to a common incidence angle. Incidence angle dependence of backscatter is known to depend on the amount of aboveground vegetation, and can thus be expected to vary seasonally as a result of vegetation phenology. ...

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...

Introduction: As a hazardous complex climate condition, drought has affected many parts of the world, and in times when its duration is prolonged, its damage would be tremendous, affecting various sectors such as agriculture, environment, economic, social, etc. Due to the wide range of this phenomenonchr('39')s effects on all ecosystems, especially in arid and semiarid regions, continuous monit...

Journal: :international journal of environmental research 2013
m.h. mokhtari b. ahmad h. hoveidi i. busu

metric (mapping evapotranspiration at high resolution with internalized calibration) is known as an appropriate surface energy balance model for the estimation of the spatial distribution of evapotranspiration (et) in semi-arid regions. based on lysimeter measurements, metric has shown et estimates of 10% on a sub-field scale on a daily basis. there is a need to identify how the model is sensit...

2016
Rubina Parveen Subhash Kulkarni V. D. Mytri S. Bharathi V. Shreyas R. Anirudh S. Sanketh P. D. Shenoy K. Venugopal

Extraction of vegetation is an important step for agricultural, forest and greenery mapping. The proposed method examines the complex process of land cover vegetation pattern classification using an IRS-1C LISS III image. Pre-processing was done by employing partial differential equation (PDE). Normalized differential vegetation index (NDVI) was applied to separate vegetation features from the ...

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