نتایج جستجو برای: soil adjusted vegetation index savi
تعداد نتایج: 692864 فیلتر نتایج به سال:
The present study demonstrates the application of remote sensing for the estimation of areas corresponding to crop and forest lands covered in the district of Aurangabad, (Maharashtra), India. The data acquired by IRS-P6 Advanced Wide Field Sensors (AWiFS) having 56m spatial resolution for the months of October & December 2012 which covered complete study areas with its swath of 740Km has been ...
Multi-sensor analysis for monitoring terrestrial vegetation suffers from systematic errors due to the differences in spatial resolution, called scaling effect. This study investigates mechanisms underlying the scaling effect on fraction of vegetation cover (FVC) estimation, derived using a two-band spectral vegetation index (VI)-isoline based linear mixture model (VI-isoline based LMM). The two...
Hyperspectral reflectance derived vegetation indices (VIs) are used for non-destructive leaf area index (LAI) monitoring for precise and efficient N nutrition management. This study tested the hypothesis that there is potential for using various hyperspectral VIs for estimating LAI at different growth stages of rice under varying N rates. Hyperspectral reflectance and crop canopy LAI measuremen...
The aims of this study were to determine surface urban heat island (SUHI) effects and analyze the land use/land cover (LULC) temperature (LST) changes for 11 time periods from years 2002 2020 using Landsat series images. Bursa, which is fourth largest metropolitan city in Turkey, was selected as area, multi-temporal images summer season used. Firstly, normalized difference vegetation index (NDV...
Ecotones are zones of gradual changes from an ecological system to another.Ecotones monitoring could be important to find out the reason for changes and limits. Inthis research satellite data were used to analyze the ecotone boundary in Fars steppicrangelands using IRS LISS III and Pan data of year 2006. The real vegetation map andecotones prepared through Geo-eye images from Google earth softw...
In this paper, we aim to detect crop injury from glyphosate, a herbicide, by both traditionally used spectral indices and newly extracted features with leaf hyperspectral reflectance data for non-Glyphosate-Resistant (non-GR) soybean and non-GR cotton. The new features were extracted by canonical analysis technique, which could provide the largest separability to distinguish the injured leaves ...
Spatial variability in a crop field creates a need for precision agriculture. Economical and rapid means of identifying spatial variability is obtained through the use of geotechnology (remotely sensed images of the crop field, image processing, GIS modeling approach, and GPS usage) and data mining techniques for model development. Higher-end image processing techniques are followed to establis...
ecotones are zones of gradual changes from an ecological system to another.ecotones monitoring could be important to find out the reason for changes and limits. inthis research satellite data were used to analyze the ecotone boundary in fars steppicrangelands using irs liss iii and pan data of year 2006. the real vegetation map andecotones prepared through geo-eye images from google earth softw...
Current water scarcity scenario has led to the implementation of sustainable agricultural practices intended improve use efficiency. The present work evaluates during three campaigns (2018–2020) response a young almond orchard two management in terms by combining remote sensing indexes (Normalized Difference Vegetation Index, NDVI; and Soil Adjusted Indexes, SAVI) physiological/morphological me...
This paper introduces derivations of soil line influences on two-band vegetation indices (VIs) and vegetation isolines in the red and near infra-red reflectance space. Soil line variations are described as changes in the soil line parameters (slope and offset) and the red reflectance of the soil surface. A general form of a VI model equation written as a ratio of two linear functions (e.g., NDV...
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