Remote sensing based retrieval of snow cover properties Case study (Shirkooh Mountain Yazd, Iran)
Journal Title: International journal of Advanced Biological and Biomedical Research - Year 2014, Vol 2, Issue 5
Abstract
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 images and remote sensing methods. In this research, based on satellites images and Weather-station data, two methods have been used to calculate snow cover properties. As MODIS images have better spatial/spectral resolution in comparison with other similar Satellite images like NOAA/AVHRR, they are more suitable to distinguish snow from cloud. In this research, Normalized Difference Snow Index (NDSI), and threshold technique have been used to snow cover properties in Shirkooh Mountain. In first step, snow cover were separated based on NDSI. Then, optimum threshold was determined for three spectral bands (2, 4 and 6) to separate snow from clouds and other wet resources. Furthermore, ASTER images which have 15m spatial resolution, have been used as base images to check the accuracy of snow cover areas that extracted from MODIS images. The results show that correlation between the snow cover area extracted from ASTER and MODIS images is about 0.87. Also, since the correlation obtained from the snow pixels reflectance and snow Persistence is more than 0.5, by using these images, snow Persistence can be estimated.
Authors and Affiliations
A. Sarkargar. Ardakani| Assistant professor in Emam Hossin University, Babaei Highway, Tehran. Iran
Keywords
Related Articles
- EP ID EP13266
- DOI -
- Views 286
- Downloads 12
The Effect of Supplemental Irrigation and Cultivars on Population of Safflower Fly (Acanthiophilus Helianthi Rossi.)
Damage caused by water shortages leads to physiological and biochemical changes in metabolism of plants and make them predispose to attack by pests and diseases and reduce the quality of the crops. In order to evaluate t...
Growth, Development and Yield in Pure and Mixed Forest Stands
Objective: Ecosystems with mixed species compared to the ones with pure compositions provide a broader range of options in the fields of biodiversity, conservation, protection and restoration. Nearly all forest plantat...
Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly...
Effect of FE foliar application on morphological and physiological traits of different dryland wheat cultivars
A Split plot experiment based on randomized complete block design (RCBD) with three replications was conducted in 2012,Treatments were included the time of foliar application with 3 levels (tillering stage, heading sta...
Seed Yield of Groundnut (Arachis Hypogaea L.) as Influenced by Phosphorus and Manure Application at Babile, Eastern Ethiopia
Objective: A field experiment was conducted in order to study the effect of phosphorus and manure application on agronomic performance and seed yield of groundnut. Methods: Factorial combination of two groundnut variet...