26 results for “NDVI”

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Research ArticleOpen accessIn the keywordsDetecting Hornbeam Trees Phenological Characteristics of Mountain ForestSasan Babaei Kafaki, Asadollah Mataji, Seyed Armin HashemiProblem statement: Phenology is the study of the seasonal occurrence of developmental or life cycle events, such as bud break, flowering, or autumn leaf drop. The proposed study attempted to quantify changes in Carpinus betulus L. phenology of deciduous broad leaf forest between the years 2003-2006. Approach: Phenological studies were fulfilled during four years as from January 2003-December 2006 by … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 7,273 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAssessing Supervised Classification Algorithms for Mangrove Detection and Differentiation from Other Forest Types in Paiton District, Probolinggo RegencyKaruniawan Puji Wicaksono, Fathor Rohman, Yasushi MitsudaRemote sensing provides an effective approach for monitoring forest cover dynamics, yet distinguishing mangroves from other forest types remains challenging in heterogeneous coastal landscapes. This study compares six supervised classification algorithms: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Mixture Discriminant Analysis (MDA), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) for mangrove detection in Paiton, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 1 Sep 2026 · 844 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRandom Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, MalaysiaDorothy Anak Martin Atok, Soo See Chai, Kok Luong Goh et al.Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms by applying Bayesian Hyperparameter Optimization (BayesOpt). Penang Island, a region in Malaysia prone to frequent landslides, was chosen as the study area. Ten Landslide Conditioning Factors (LCFs), including elevation, slope angle, … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 3,103 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSpatial-Temporal Variation and Topographic Effect of Vegetation Cover in Lvliang Mountains AreaHuixia Zhang, Yujie Li, Yongmei Li, Na ZhangVegetation cover is an important ecological climate parameter and to a certain extent, it indicates the change in the regional ecological environment. To explore the impact of different terrain factors on the vegetation cover in the Lvliang mountains area and the change and improvement of vegetation cover in this area. MODIS NDVI data from 2010 to 2019 were selected to … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 14 Dec 2022 · 5,104 accessesView PDF Cite

Research ArticleOpen accessIn the abstractLand Surface Temperature Retrieval by Using ATCOR3_T and Normalized Difference Vegetation Index Methods in Penang IslandK. C. Tan, H. S. Lim, M. Z. MatJafri, K. AbdullahProblem statement: Many studies have been devoted to establish the methodology for retrieval of LST from single channel algorithm by utilizing Landsat satellite images. However, this method required many atmospheric parameters to retrieve LST. Thus, it is very difficult to acquire the complete information for atmospheric parameters. Approach: While for ATCOR3_T, this method can be used to retrieve LST without … …American Journal of Applied Sciences, Vol. 7, Issue 5 · 31 May 2010 · 7,497 accessesView PDF Cite

Research ArticleOpen accessIn the abstractQuantitative Performance of Spectral Indices in Large Scale Plant Health AnalysisHelmi Zulhaidi Mohd Shafri, Mohanad Saad EzzatProblem statement: Oil palm trees are planted in large scale areas. The detection and mapping of diseases are considered as important for oil palm industry and need a timely detection to control the disease spread. Approach: Vegetation analysis of airborne hyperspectral imagery could be an ideal method to deal with this problem since this data could be acquired on user … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,222 accessesView PDF Cite