Environmental Impacts Of Climate Change

Land use and land cover change have become a central and important component in current strategies in managing natural resources and monitoring environmental changes, as a complex process which is caused by the mutual interactions between environmental and social factors at different spatial and temporal scales, and also plays a fundamental role in various environmental and socioeconomic applications from local, regional, to global scales (Ram and Kolarkar 1993), which they are a dynamic process taking placing on the bio-physical surfaces that have taken place over a period and space is of enormous significance in natural resource studies. Land use and land cover dynamics are essential elements for monitoring, protecting, evaluating, and planning

In the last decade, this transformation has been accelerated particularly by increased development of infrastructure and institutions that support regional trade and business investment of other country (Thongmanivong and Fujita 2006). The likely impacts of climate change have become a major concern globally in recent years, although perhaps less so in many developing countries, which face a plethora of development challenges that have been considered to have only limited connections to climate change. This has begun to change, with many developing countries, such as the Lao PDR, becoming more concerned about the possible impacts of climate change and the need to consider adopting adaptation and mitigation strategies. In a country such as the Lao PDR, with a largely rural population, substantial reliance on agriculture, and significant forestry resources, the need to assess the likely impacts of climate change on land use has been recognized, but so has the problem of separating these impacts from those driven by other factors, such as population growth and economic development (Lefroy, Collet, and Grovermann

Whiles, (Muttitanon and Tripathi 2005b) were applied Landsat 5 TM to classify the land use types for the years 1990, 1993, 1996 and 1999. This study illustrated an increasing trend of shrimp farms, forest/mangrove and urban areas with a decreasing trend of agricultural and wasteland areas of Ban Don Bay, Surat Thani province, Thailand. Furthermore, Rizk Hegazy and Kaloop (2015) applied remote sensing, and geographic information system techniques to detect the land use change showed that built-up area has been increased but agricultural land reduced. However, a multi-temporal satellite data is very useful to detect the changes in land use quickly and accurately (Rawat, Biswas, and Kumar 2013), and various studies have been used to supervised classification maximum likelihood algorithm for classification or detection in many aspects that related to land