Land Reclamation and Restoration Strategies for Sustainable Development: Geospatial Technology Based Approach, Volume Ten covers spatial mapping, modeling and risk assessment in land hazards issues and sustainable management. Each section in the book explores state-of-art techniques using commercial, open source and statistical software for mapping and modeling, along with case studies that illustrate modern image processing techniques and computational algorithms. A special focus is given on recent trends in data mining techniques. This book will be of particular interest to students, researchers and professionals in the fields of earth science, applied geography, and those in the environmental sciences. - Demonstrates a geoinformatics approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of land use, hazards and reclamation - Covers land contamination problems, including effects on agriculture, forestry, and coastal and wetland areas - Suggests specific techniques of remediation - Explores state-of-art techniques based on commercial, open source, and statistical software for mapping and modeling using modern image processing techniques and computational algorithm

In general, the effectiveness of microfinance-driven poverty-alleviation programs run by Government Organizations (GOs) and Non-Government Organizations (NGOs) in developing countries, such as Bangladesh, is assessed by repayment rates, the number of beneficiaries, the area coverage, the amount of loans disbursed, the cost of operations, profitability, and the financial sustainability of the projects. This study argues that these methods are quite restrictive since none of them reflect the perceptions of poor people concerning the effectiveness of such projects. Development agencies such as GOs and NGOs have never been compared on the basis of service delivery effectiveness (a process-based comparison); nor have they ever been compared on the basis of their relative contribution to raising the living standards of the poor (an outcome-based comparison). Both types of comparison are crucial to poverty reduction. The main reason behind the absence of such comparisons is the unavailability of the appropriate parameters that could be used for such analysis. For the process-based comparison, this study develops and validates a two-dimensional multi-item service delivery effectiveness scale through construct, convergent, discriminant and nomological validity. The scale captures different aspects of effectiveness in the delivery of services. These aspects are termed the ‘credibility dimension’ and the ‘focus towards beneficiaries dimension’ of service delivery in poverty-alleviation programs. For the output-based comparison, this study also develops and validates a ‘multidimensional poverty model’ to compare the effectiveness of GOs and NGOs in contributing to the economic, social, political, and cultural elements in the lives of the poor. The methodology is based on 930 samples collected from 12 districts and 107 randomly chosen villages in Bangladesh during September–December 2009.