Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Agroforestry has an indispensable role in food and livelihood security in addition to its
capacity to combat the detrimental effects of climate change. However, agroforestry has not …

Urban catchments are typically characterised by high spatial variability and fast runoff
processes resulting in short response times. Hydrological analysis of such catchments …

With new chapters addressing spatial patterning in single variables and spatial relations,
this second edition provides guidance to a wide variety of real-world problems. Focusing on …

This book discusses the fundamentals of land-use and land-cover characterization,
mapping, and monitoring using remote sensing technology. After covering the basic …

Satellite imagery is formed by finite digital numbers representing a specific location of
ground surface in which each matrix element is denominated as a picture element or pixel …

An ecological change on the planet the most flighty parameter is precipitation. It causes
minor and real changes in the climatic changes. The time and space analyzed on the data …

Satellite remote sensing is an invaluable tool to monitor agricultural resources. However,
spatial patterns in agricultural landscapes vary significantly across the Earth resulting in …

In this paper, an efficient technique for the classification of Hyper-Spectral Images taken form
satellite is actualized. The Proposed Methodology is based on the concept of optimizing …

In recent years, object-oriented image analysis has been widely adopted by the remote
sensing community. Much attention has been given to its application, while the fundamental …