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61 articles for “Forest Classification”
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Research ArticleOpen accessIn the abstractApplication of Remote Sensing Techniques in Determining the Risk Taking Level of Different Seasons on Fire Generation in Terms of NDVI Index During the Year Case Study: Golestan Province, IranAkram Karimi, Sara Abdollahi, Kaveh Ostad-Ali-Askari et al.Knowledge of the nature of seasons and months in terms of the fire risk is very important in environmental planning, land management and forest resource management in order to achieve the sustainable development. One of the applications of remote sensing in this regard is the continuous monitoring of the zone to detect changes. Currently, the vegetation mapping is used to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 7,693 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong-Term Changes in Mangrove Landscape of the Niger River Delta, NigeriaPing Wang, Aroloye O. Numbere, Gerardo R. CamiloThe Niger Delta mangrove is the third largest in the world and the largest in Africa. Since the 1960s oil and gas exploration has become an important economic activity, resulting in significant alteration of the landscape via pollution, urbanization and invasion. Landsat images of six different years (1984, 1986, 2000, 2003, 2005 and 2007) were used to determine land cover … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 18 Jun 2016 · 8,839 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractLAND USE LAND COVER DYNAMICS OF NILGIRIS DISTRICT, INDIA INFERRED FROM SATELLITE IMAGERIESP. Nalina, T. Meenambal, R. Sathyanarayan SridharLand use Land cover changes are critical components in managing natural resources especially in hilly region as they trigger the erosion of soil and thus making the zone highly vulnerable to landslides. The Nilgiris district of Tamilnadu state in India is the first biosphere in Western Ghats region with rare species of flora and fauna and often suffered by frequent … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 13 Jan 2014 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification Model for Hotspot Occurrences Using Spatial Decision Tree AlgorithmImas Sukaesih Sitanggang, Razali Yaakob, Norwati Mustapha, A. N. AinuddinDeveloping a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because of fires can be avoided. This study describes the application of data mining … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Spatial Distribution of Apis Dorsata Host Plants Using an Integrated Geographical Information System-Remote Sensing ApproachIzzat F. Ibrahim, Siva K. Balasundram, Nur-Ashikin P. Abdullah et al.Apis dorsata is one of the important honeybee species in tropical and subtropical regions that forages on various plants including herbs, grasses, forest trees and plantation trees. However, information on the spatial distribution of various pollen sources of Apis dorsata is still lacking. This study aimed at mapping the spatial distribution of the major honeybee plants that serve as pollen … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 4 · 20 Sep 2012 · 8,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand use Type Pattern and Woody Species Composition Near Human Disturbed Landscapes on Mount Makiling, Luzon IslandInocencio E. Buot, Katsuhiro OsumiProblem statement: A field study near human disturbed landscape on Mount Makiling, Luzon Island, Philippines was done on the eastern slopes of the legendary mountain to determine the land use patterns and woody species composition. Approach: Forty permanent plots of 10×10m in 3 belt transects spaced at 200m apart were established from the undisturbed forests to the agricultural farms. Classification … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 26 Aug 2011 · 8,033 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndividual Species Crown Mapping in Taman Rimba Ilmu, University Malaya Using Airborne Hyperspectral ImagingKamaruzaman JusoffProblem statement: Accurate, current and cost-effective individual standing tree data are required by forest management communities for use in forest inventory over large areas. Currently, most of the forest mapping process is done directly on the ground using many technique such as the bearing-distance and also the other technique that use the computer software as a support, such as Tree … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image AnalysisHelmi Zulhaidi Mohd Shafri, Affendi Suhaili, Shattri MansorSeveral classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 142,381 accessesView PDFCite