RENFODA – JICA project<\/p>\n
Duong Tien Duc, Joosang Chung<\/span><\/span><\/strong><\/p>\n Department of Forest Resources,<\/span><\/span><\/p>\n College of Agriculture and Life Science<\/span>s<\/span>, <\/span>Seoul<\/span>National<\/span>University<\/span><\/span><\/p>\n \n \n In this study, <\/span>investigated were the changes in land use patterns of<\/span> the Northern area of the Da River basin<\/span>,<\/span> Vietnam<\/span>, over the period of <\/span>1993 <\/span>through<\/span> 1999<\/span> using remote sensing techniques. <\/span>LANDSAT<\/span>5 and LANDSAT<\/span>7 satellite<\/span> images<\/span> were used <\/span>as a set of source data to assess the changes in land use patterns with <\/span>E<\/span>RDAS<\/span>IMAGINE<\/span> 8.6<\/span>. The land use patterns of the area in 1993 and 1999 were classified into <\/span>5 major land use types<\/span> including the developed land<\/span>, w<\/span>etland<\/span>, bare<\/span>-or-<\/span>disturbed<\/span> land<\/span>, tropical evergreen<\/span>forest<\/span>land<\/span>, and agro-<\/span>or-<\/span>plantation forest<\/span>land<\/span>.<\/span> Then, the changes in areas of land use types during the period were assessed with such post-classification methods as supervised classification with <\/span>maximum likelihood algorithms. <\/span><\/span><\/p>\n Keywords:<\/span><\/em> changes in <\/span><\/em>l<\/span><\/em>and use<\/span><\/em> patterns,<\/span><\/em> Da <\/span><\/em>r<\/span><\/em>iver<\/span><\/em> basin, <\/span><\/em>Vietnam<\/span><\/em>,<\/span><\/em> LANDSAT<\/span><\/em><\/span> INTRODUCTION<\/span><\/strong><\/span><\/p>\n Satellite remote sensing has been recognized as a powerful and effective tool in detecting land use and land cover change<\/span>s<\/span> (Meaille and Wald, 1990). <\/span>This is due to the strong points of s<\/span>atellite remote sensing <\/span>techniques to provide<\/span>valuable information, in a <\/span>cost-effective<\/span> way, by processing <\/span>multi-spectral and multi-temporal data<\/span>.<\/span><\/span><\/p>\n Often s<\/span>atellite imagery has been used to monitor discrete land use and land cover types by spectral classification or estimate biophysical characteristics of land<\/span>surfaces via linear relationships with spectral reflectances or indices (<\/span>S<\/span>teininger, 1996). <\/span>The <\/span>timely <\/span>measurement<\/span>of environmental change <\/span>and assessment of its impact<\/span>s on surrounding environment<\/span>is<\/span>getting important more and more in sustainable forest management. The effectiveness of s<\/span>atellite remote sensing<\/span> techniques has allowed us to use the skill of <\/span>\u201cchange detection\u201d in <\/span>identif<\/span>ying and <\/span>locati<\/span>ng the <\/span>changes in the state of an object or phenomena through the examination of the changes in radiance values between sets of multi-temporal satellite images (Wang, 1993). <\/span><\/span><\/p>\n The most commonly used techniques for land use change detection includes image differentiation, post-classification comparison, principal component analysis, and change vector analysis (Jensen and Toll, 1982). These techniques have been used successfully to identify areas of change in urban and remote areas throughout the world.<\/span><\/span><\/p>\n However, the techniques of remote sensing have rarely been applied to determination of the spatial and temporal patterns of land use types, and assessment of change in land use types in <\/span>Vietnam<\/span>. <\/span>Thus, t<\/span>his study was an attempt to <\/span>apply<\/span> the remote sensing techniques to <\/span>assessing <\/span>changes in land use patterns of the Da river basin over the period of 1993 through 1999<\/span> in <\/span>Vietnam<\/span>.<\/span> In order to achieve the goal, carried out were <\/span>classify the major land use types<\/span> of the area<\/span> in<\/span> both<\/span> 1993 and 1999<\/span>using LANDSAT image processing<\/span> and to <\/span>assess<\/span> the changes <\/span>in land use <\/span>patterns during the study period<\/span>. <\/span><\/span><\/p>\n Material<\/span><\/strong>S<\/span><\/strong> and method<\/span><\/strong>S<\/span><\/strong><\/span><\/p>\n Study <\/span><\/strong>a<\/span><\/strong>rea<\/span><\/strong><\/span><\/p>\n The Da River has its origin in southern <\/span>China<\/span>. The river has a total length of 980 kilometers of which 480 kilometers runs though Vietnamese territory until it joints the <\/span>Red river<\/span> (Paul<\/span>and<\/span>Khiem, 1993). <\/span>The basin area is the most mountainous region in <\/span>Vietnam<\/span> with <\/span>the<\/span> average elevation of more than 500 meters and <\/span>the highest elevation of n<\/span>early 3,200 meters<\/span>. <\/span><\/span><\/p>\n The <\/span>basin<\/span> area is well-known <\/span>for<\/span> the Hoa Binh Hydroelectric dam, which is the largest hydroelectric power plant in <\/span>Southeast Asia<\/span>. The power plant is located at the outlet of the basin in Hoa Binh. <\/span><\/span><\/p>\n The mountain ridges of the basin area <\/span>spread out five neighboring provinces <\/span>as <\/span>Lai Chau, Son La, Hoa Binh, Lao Cai<\/span> and<\/span> Yen Bai<\/span> as shown in <\/span>Figure 1. According to the recent survey in 2001, <\/span>the whole basin area <\/span>of <\/span>about 5 million <\/span>ha<\/span> is composed of <\/span>42 districts and 847 communes. <\/span>The population of the whole basin area is about <\/span>3.6 millions with 23 ethnic minority group<\/span>s. The ethnic groups have <\/span>their own culture, language <\/span>and<\/span>agricultural practices (<\/span>General statistical office of <\/span>Vietnam<\/span>,2001).<\/span><\/span><\/p>\n Forest<\/span>ed area<\/span> in the basin has been decreasing in both of quality and quantity due to inappropriate and unsustainable exploitation of timber, shifting cultivation, and slash-and-burn farming. The poor and fast-growing population in the area demands more agriculture land for their living. Fallow periods on agricultural land are getting shorter and shorter without any compensatory measure and even steep slope<\/span>forestlands are being brought under cultivation. As a result, erosion of topsoil is being accelerated and soil fertility and forest environment are <\/span>rapidly <\/span>getting worse<\/span> and worse<\/span> because of unfavorable land use practices for watershed management. Currently it is reported that about 70% of <\/span>the whole <\/span>forestland has been seriously d<\/span>egraded<\/span> (<\/span>General statistical office of <\/span>Vietnam<\/span>, 2001).<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":" In this study, investigated were the changes in land use patterns of the Northern area of the Da River basin, Vietnam, over the period of 1993 through 1999 using remote sensing techniques. LANDSAT 5 and LANDSAT 7 satellite images were used as a set of source data to assess the changes in land use patterns with ERDAS IMAGINE 8.6. The land use patterns of the area in 1993 and 1999 were classified into 5 major land use types including the developed land, wetland, bare-or-disturbed land, tropical evergreen forestland, and agro-or-plantation forestland. Then, the changes in areas of land use types during the period were assessed with such post-classification methods as supervised classification with maximum likelihood algorithms. Keywords: changes in land use patterns, Da river basin, Vietnam, LANDSAT <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/posts\/238"}],"collection":[{"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/comments?post=238"}],"version-history":[{"count":1,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/posts\/238\/revisions"}],"predecessor-version":[{"id":877,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/posts\/238\/revisions\/877"}],"wp:attachment":[{"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/media?parent=238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/categories?post=238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vafs.gov.vn\/en\/wp-json\/wp\/v2\/tags?post=238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}ABSTRACT<\/span><\/span><\/span><\/h3>\n
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