remote sensing technology for mapping and monitoring vegetation cover (case study: semirom-isfahan, iran)
Authors
abstract
to determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the semirom-isfahan province were analyzed. during two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. the global positioning system (gps) was used to measure the coordinates of plots and transects. geometric correction and histogram equalization were applied in image processing, and image digital numbers were converted to reflectance numbers. in the next stage, all vegetation indices were calculated from the advanced wide field sensor (awifs) image data and compared with the vegetation cover estimates, at monitoring points, made during field assessments. a linear regression model was used to select suitable vegetation indices. the results showed that there were significant relationships between the satellite data and the vegetative characteristics. among the indices, the normalized difference vegetation index (ndvi) consistently showed significant relationships with the vegetation cover. the estimation of the vegetation cover with the ndvi vegetation index was more accurately predicted within rangeland systems. using the produced model from the ndvi index vegetation crown cover, percentage maps were produced in three class percentages for each image. generally introduced indices provided accurate quantitative estimation of the parameters. therefore, it was possible to estimate cover and production as important factors for range monitoring using the awifs data. the remote sensing data and the geographic information system are the most effective tools in natural resource management.
similar resources
Remote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)
To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...
full textRemote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)
To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...
full textmonitoring the effects of precipitation on vegetation cover changes using remote sensing techniques in 12 years period (case study: semirom isfahan)
because soil moisture condition affects vegetation changes hence, monitoring of drought and vegetation changes are among valuable management tools in these ecosystems. nowadays, satellite images are used as a low-cost and fast method for vegetation study in different scales. vegetation change is assessed using vegetation spectral characteristics. this study aimed to analyze and monitor the vege...
full textIdentification of Invasive Species Using Remote Sensing and Vegetation Indices, (Case Study: Vazroud Rangelands, Iran)
Biological invasions form a major threat to the provision of ecosystems productsand services and can affect ecosystems across a wide spectrum of bioclimatic conditions.Therefore, it is important to systematically monitor the spread of species over broad regions. Ithas long been recognized that remote sensing and geographical information system couldcontribute to this capacity. This paper aims t...
full textRemote Sensing Based Retrieval of Snow Cover Properties Case Study (Shirkooh Mountain Yazd, Iran)
Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...
full textMy Resources
Save resource for easier access later
Journal title:
pollutionPublisher: university of tehran
ISSN 2383-451X
volume 1
issue 2 2015
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023