Introduction to the Special Issue: Geospatial Monitoring and Modeling of Environmental Change

نویسنده

  • Duccio Rocchini
چکیده

Geospatial modeling is an approach to apply analysis to monitor environmental change over time considering different fields of re-search, including computer science, remote sensing, ecology, environmental science, life science, geography (see [1,2] for a critique). The special issue was instigated to publish straightforward research on the matter in order to stimulate further discussion on the potential of geospatial modelling. Both theoretical and empirical papers are part of the issue with the support of the International Society for Photogrammetry and Remote Sensing, promoting an advanced forum for the science and technology of geographic information. Due to the complexity of the theme being treated, the final issue composes seven heterogeneous and stimulating papers on geospatial monitoring and modeling of environmental change. Table 1 attempts to summarize the focus of each of the articles published.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Introduction: Geospatial Analysis of Urban Environment

To provide a timely snapshot of current research that utilizes geospatial analysis and modeling in urban environment, the Korea-America Association for Geospatial and Environmental Sciences (KAGES) and the editorship of the International Journal of Geospatial and Environmental Research (IJGER) organized a special issue of IJGER on the theme of geospatial analysis and urban environment. Eight ar...

متن کامل

Crop Land Change Monitoring Based on Deep Learning Algorithm Using Multi-temporal Hyperspectral Images

Change detection is done with the purpose of analyzing two or more images of a region that has been obtained at different times which is Generally one of the most important applications of satellite imagery is urban development, environmental inspection, agricultural monitoring, hazard assessment, and natural disaster. The purpose of using deep learning algorithms, in particular, convolutional ...

متن کامل

Environmental sensitivity of flash flood hazard using geospatial techniques

Flash flood has been increasing in the Khartoum area, Sudan due to geographical conditions and climatic change as heavy rainfall and high temperature, therefore the present work tried to estimate the sensitivity of flash flood. The present work proposes an advanced technique of flood sensitivity mapping using the method of analytical hierarchy process. Ten factors as elevation, slope, distance ...

متن کامل

Modeling of investment attractiveness of countries using entropy analysis of regional stock markets

The current study focuses on the problem of determining investment attrаctiveness of countries by means of monitoring regional stock markets. The method of using the permutation entropy as a model of investment attractiveness estimation is suggested. We have calculated the permutation entropy for the time series of stock markets of countries for the period from 2005 to 2018. The countries with ...

متن کامل

Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed

BACKGROUND AND OBJECTIVES: The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricultural watershed of Taganibong. METHODS: The method involved the preparation of the fou...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • ISPRS Int. J. Geo-Information

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2014