............................................................................................................................ v Samenvatting ................................................................................................................... vi Acknowledgements.......................................................................................................... ix CHAPTER 1: G...

Remote sensing is a powerful tool for the regional mapping of natural resources. Satellite imagery has been demonstrated to be a cost effective method for classifying land use and land cover types throughout the world. This paper evaluates the potential of satellite remote sensing technology by presenting a case study for mapping ground coverage of Seabuckthorn plant, which grows in high altitu...

Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...

Remote sensing has been widely used for mapping land cover and is considered key to monitoring changes in forest areas in the REDD+ Measurement, Reporting and Verification (MRV) system. But Remote Sensing as a desk study cannot capture the whole picture; it also requires ground checking. Therefore, complementing remote sensing analysis using participatory mapping can help provide information fo...

Based on Landsat–7ETM + images of 2007 and 2012 Landsat–8 2018, this study took Fuyang City, Anhui Province (Yingzhou District, Yingdong Yingquan District) as the research object, made a quantitative analysis land use/cover change in City from to 2018 with Environment for Visualizing Images (ENVI) software. According data use types three phases, article analyzes development trend various main r...

Woodlands constitute the subsistence base of the majority of people in the Sudano-Sahelian zone (SSZ). Trees and grasses provide key ecosystem goods and services, including soil protection, fuelwood, food products and fodder. However, climate change in combination with rapidly increasing populations and altered land use practices put increasing pressure on the vegetation cover in this region. L...

Satellite remote sensing and numerical modelling are important tools to quantify trends in the environment across Canada. This paper describes methodology and initial results for the production of a new 1-km resolution map of waterbody fraction and 10-km resolution maps of forest cover type (hardwood/softwood) required as input parameters to these approaches. The waterbody fraction map is deriv...

Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. They have their roots in Statistical Learning Theory and have gained prominence because they are robust, accurate and are effective even when using a small training sample. By their nature SVMs are essentially binary classifiers, however, they can be adopted to handle the...

Support Vector Machines (SVMs) are a relatively new supervised classification technique to the land cover mapping community. They have their roots in Statistical Learning Theory and have gained prominence because they are robust, accurate and are effective even when using a small training sample. By their nature SVMs are essentially binary classifiers, however, they can be adopted to handle the...