Letter : Site Suitability Assessment for Joint Forest Management (JFM)-a Geospatial Approach

S. Jayakumar,A. Ramachandran,G. Bhaskaran,Joon Heo,Woo Sun Kim 大韓遠隔探査學會 2007 大韓遠隔探査學會誌 Vol.23 No.5

Joint Forest Management (JFM) is a concept of developing partnerships between fringe forest user groups and the Forest Department (FD) on the basis of mutual trust and jointly defined roles and responsibilities with regard to forest protection and development. In India, JFM was started during 1992 and it was implemented in many states. However success rate of JFM activity was not promising. Though there are many factors attributed to the failures, one of the main factors is the JFM site. This paper deals with the significant ground works to be done before planning for JFM using recent technologies such as remote sensing (RS) and Geographic Information System (GIS). Also it deals with the advantages of weighted overlay analysis in selecting suitable sites for JFM taking into consideration the various criteria. As a result of weighted overlay analysis, there were four types of suitability classes viz., less, moderate, highly and un-suitable. The moderately suitable class occupied maximum area (13209.64 ha) than less and highly suitable classes. If JFM is implemented on the suitability area, then the failure could be avoided in the future.

Soil Resource Inventory and Mapping using Geospatial Technique

Jayakumar S.,Ramachandran A.,Lee Jung Bin,Heo Joon 대한공간정보학회 2009 대한공간정보학회지 Vol.17 No.3

지구상에서 가장 중요한 자원 중 하나인 토양은 지형조건에 따라 서로 다른 다양한 형태를 가지고 있기 때문에 최적화되고 지속 가능한 토양 자원의 활용을 위해서는 정확하고 포괄적인 정보가 필요하게 된다. 그러나 연구대상지역인 인도 Tamil Nadu지역의 경우 지형적인 영향으로 토양에 대한 정보가 많이 누락되어 있었다. 따라서 본 연구에서는Tamil Nadu 지역 Eastern Ghat의 Kolli Hill에 대한 지형 측량과 원격탐측을 통한 토양조사와 지도제작이 이루어졌으며 토양 샘플의 물리화학적 특성은 미국 농무부 (USDA) 기준에 따라 분석이 이루어졌다. 연구 결과로 토양을 5개의 대분류와 10개의 부분류로 구분할 수 있었으며 토양의 분포 특성을 보면 Entisol, Inseptisol 그리고 Alfisol의 세 계층 중 Entisol의 경우 전체 지역에 대하여 75%의 분포를 보였으며 5개의 대분류에 대해 Ustorthent가 73% 로서 대부분 지역에 나타나고 있다. 또한 Lithic Ustorthents(40%), Typic Ustorthents(26%)의 분포를 나타내었다. 앞으로도 대상지역에 대한 토양자원에 대한 지속적인 연구가 요구되며 이를 통하여 토양에 대한 많은 정보를 활용할 수 있을 것이다. Soil is one of the Earth's most important resources. There are many differences among the soils of plains-like and hilly terrains, and therefore, accurate and comprehensive information on soil is essential for optimum and sustainable soil utilization. However, information on the soil of the hilly terrains of the Eastern Ghats of Tamil Nadu, India, is limited or absent. In the present study, Kolli hill, one among the hills of the Eastern Ghats, was soil-inventoried and -mapped using a ground survey and remote sensing. Soil samples were collected and their physico-chemical properties analyzed according to the United States Department of Agriculture (USDA) standards. The soils were classified up to the family level. As a result of this study, 30 soil series belonging to ten sub-groups of five great groups and three sub-orders and orders each, were identified (classified to the family level) and mapped. Entisols, Inseptisols and Alfisols were the three orders, among which Entisols was the major one, occupying 75% of the area. Among the five great groups, Ustortbents occupied majority of the area (73%). Lithic Ustortbents and Typic Ustortbents were the two major sub-groups, occupying 40% and 26% of the total area, respectively. The present soil resource mapping of the Eastern Ghats of Tamil Nadu is a pioneer study, which yielded valuable information on the soil in this region.

Urban sprawl and its impact on the land cover-a geospatial study

Jayakumar, S.,Enkhbaatar, Lkhagva,Heo, Joon The Korean Society for Geospatial Information Syst 2008 대한공간정보학회지 Vol.16 No.4

The present study was aimed to estimate the urban sprawl in a historical city of India using series of satellite data between 1968 and 2005(37 years) and GIS. The total area of the Tiruchirappalli city was 1991.96 ha during 1968 and it was expanded into 4335.98 ha(117.67%) during 2005. The average growth rate per year was 63.35 ha. This 117.67% growth was at the cost of agriculture land(97.81%) and water body(2.19%). The satellite data used in this study were found to be good source of information for this kind of analysis and further studies are need to estimate the impact of this city expansion on agriculture yield and ground water.

IDENTIFICATION OF EROSION PRONE FOREST AREA

S. Jayakumar,JUNG BIN LEE,Lkhagva Enkhbaatar,Joon Heo 대한공간정보학회 2008 한국지형공간정보학회 학술대회 Vol.2008 No.10

Erosion and landslide cause serious damage to forest areas. As a consequence, partial or complete destruction of vegetation occurs, which leads to many cascading problems. In this study, an attempt has been made to identify the forest areas, which are under different risk categories of erosion and landslide, in part of Eastern Ghats of Tamil Nadu. Relevantthematic maps were generated from satellite data, topographical maps, primary and secondary data and weights to each map were assigned appropriately. Weighted overlay analysis was carried out to identify the erosionprone forest areas. The result of erosion and landslide prone model reveals that 4712 ㏊ (17%) of forest area is under high risk category and 15879 ㏊ (58.65%) is under medium risk category. The results of spatial modeling would be very much useful to the forest officials and conservationist to plan for effective conservation.

Neutral beam injector system for Steady State Tokamak -1

S. K. Mattoo,A.K. Chakraborty,B. Prajapati,BVSNNP Sridhar,C. Rotti,Ch. Chakrapani,G. Patel,M. Bandyopadhyay,M.J. Singh,M.R. Jana,N.P. Singh,P. Bharati,P.J. Patel,P.K. Jayakumar,R. Onali,S. Ramababu,S. 한국물리학회 2006 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.49 No.III

This paper discusses the experimental results obtained from the various components developed for a 1.7 MW neutral beam injector (NBI). Several technologies related to fabrication of back plate, extractor grids, high-current filament feedthru’s, heat-transfer elements, ceramic insulators, cryopumps, rectangular vessels and power supplies have been developed in collaboration with the Indian industry. Control experiments on the prototype plasma box are described.

Rapid assessment of influential factors on Pallikaranai wetland of Tamil Nadu, India

S. Jayakumar,Joon Heo,Il-Hong Seo,Hyoung Sig Cho 대한공간정보학회 2009 한국지형공간정보학회 학술대회 Vol.2009 No.4

Pallikaranai wetland is a fresh water swamp, which is one among few wetland ecosystems ava ilable in India. This wetland area is being ravaged by various factors, spoiling its ecological con dition. The water is polluted by untreated sewage and industrial effluents. Garbage dumping and encroachment in the form of building construction also pose threat to this wetland. The satellite based study on this wetland shows that 45.54% wetland area has been converted into various la nd use between 1991 and 2001. Encroachment is the major threat, which is responsible for 83% of land conversion. The garbage dump and road construction are responsible for remaining 17% of conversion. The rate of conversion of wetland to other land use is at the rate of 97.37 ha per year.

Site Suitability Assessment for Joint Forest Management(JFM) - a Geospatial Approach

Jayakumar, S.,Ramachandran, A.,Bhaskaran, G.,Heo, Joon,Kim, Woo-Sun The Korean Society of Remote Sensing 2007 大韓遠隔探査學會誌 Vol.23 No.5

Joint Forest Management(JFM) is a concept of developing partnerships between fringe forest user groups and the Forest Department(FD) on the basis of mutual trust and jointly defined roles and responsibilities with regard to forest protection and development. In India, JFM was started during 1992 and it was implemented in many states. However success rate of JFM activity was not promising. Though there are many factors attributed to the failures, one of the main factors is the JFM site. This paper deals with the significant ground works to be done before planning for JFM using recent technologies such as remote sensing(RS) and Geographic Information System(GIS). Also it deals with the advantages of weighted overlay analysis in selecting suitable sites for JFM taking into consideration the various criteria. As a result of weighted overlay analysis, there were four types of suitability classes viz., less, moderate, highly and un-suitable. The moderately suitable class occupied maximum area(13209.64 ha) than less and highly suitable classes. If JFM is implemented on the suitability area, then the failure could be avoided in the future.

Object-oriented Classification and QuickBird Multi-spectral Imagery in Forest Density Mapping

Jayakumar, S.,Ramachandran, A.,Lee, Jung-Bin,Heo, Joon The Korean Society of Remote Sensing 2007 大韓遠隔探査學會誌 Vol.23 No.3

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.

CLUE-S 모델과 시계열 Landsat 자료를 이용한 토지피복 변화 예측

김우선(Kim Woo Sun),윤공현(Yun Kong Hyun),허준(Heo Joon),자야쿠마(S. Jayakumar) 대한공간정보학회 2008 대한공간정보학회지 Vol.16 No.1

특정 기간 사이의 토지의 변화들을 파악하는 것은 매우 중요하다. 그러나, 토지를 변화 시킬 수 있는 요소들은 많이 존재할 수 있기 때문에 그러한 요인들을 규명하기란 쉽지 않다. 따라서 본 연구에서는 이러한 토지 변화요인들을 정량적으로 사용하여 시뮬레이션을 수행하고자 하였다. CLUE-S 모델을 이용하여 사용한 자료는 1987년 Landsat TM 영상과 2001년 Landsat ETM+ 영상이며, 1987년부터 2010년까지 23년 동안의 토지 이용도를 시뮬레이션 하였다. 그 결과, 2001년 영상의 감독 분류 결과와 시뮬레이션을 수행한 2001년 결과 사이의 정확도는 93.69%가 나왔으며, 이러한 결과를 통해 미래의 토지 피복 현황도를 예측할 수 있었다 , . Land use/land cover is very important to understand the change in the land cover between specific periods. But as there are number of factors which are responsible for the change in the land cover, it is very difficult to identify the specific factors. Therefore in the study we made an attempt to use the land use strategies quantitatively and conducted simulation study. The input data using the CLUE-S model are the satellite data of 1987 and 2001 from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) and we conducted simulations for 23 years from 1987 to 2010. As a result, the accuracy between the land use map derived from original satellite data and simulation for 2001 was 93.69% and in this reason we could expect land use and land cover in the future.

Object-oriented Classification and QuickBird Multi-spectral Imagery in Forest Density Mapping

S. Jayakumar,A. Ramachandran,Jung Bin Lee,Joon Heo 大韓遠隔探査學會 2007 大韓遠隔探査學會誌 Vol.23 No.3

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.