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29 results for “Forest Monitoring”
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Research ArticleOpen accessEvery word in the titleMonitoring Growing Season Length of Deciduous Broad Leaf Forest Derived From Satellite Data in IranSasan Babaei Kafaki, Asadollah Mataji, Seyed Armin HashemiProblem statement: Leaf phenology describes the seasonal cycle of leaf functioning and is essential for understanding the interactions between the biosphere, the climate and biogeochemical cycles. This study aimed to quantify changes in plant phenology of deciduous broadleaf forests between the years 1982-1999 and investigate the relationships between the onset dates of phenology and climatic factors. Approach: We studied the … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 8,557 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPreventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction TechniquesSallauddin Mohmmad, Suresh Kumar SanampudiForests play a vital role in maintaining ecological balance, regulating the climate, and conserving biodiversity. However, India’s forest landscape has witnessed significant changes between 1980 and 2024 due to deforestation, afforestation, and evolving conservation strategies. To address the challenges associated with forest monitoring, we proposed a model based on Sound Event Detection using a dataset comprising four classes: chainsaw sounds, … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,899 accessesView PDFCite
InvestigationOpen accessIn the keywordsForest Pathology Pattern of Forest Stands of the Green Belt of AstanaZhanarbek Bolat, Nurzhan Serikkanuly Mukhamadiyev, Nursagim Zhamaubayevich Ashikbaev et al.The article presents the results of researches on an estimation of a forest pathology pattern of the Astana green belt stands. For the first time, a complex of insect pests and entomophages is being specified in the Astana green belt stands. The biological effectiveness of biopreparations and insecticides against harmful insects in the system of protective measures and the forest … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 18 Jan 2018 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForest Fires and Resuspension of Radionuclides into the AtmosphereFernando P. Carvalho, Joao M. Oliveira, Margarida MaltaProblem statement: Forest fires are especially frequent around the Mediterranean Sea basin in the summer period and might be able to release naturally-occurring and man-made radionuclides from plant biomass and inject them into the atmosphere. The impact of this radioactivity on populations was not investigated before. Approach: Radionuclide analysis was performed in plants, in smoke from plant burning and in … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 14 Jan 2012 · 7,352 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 709 accessesView PDFCite
Research ArticleOpen accessIn the abstractCollection and Processing of Medicinal Raw Materials from Some Rare Plants in the Forest-Steppe Zone of Northern KazakhstanMarat Tynykulov, Svetlana Derbush, Marina Kuznetsova et al.Rare endemic plants of the forest-steppe zone of Northern Kazakhstan, including Adonis vernalis, Adonis wolgensis, Pulsatilla patens, and Pulsatilla multifida, represent valuable medicinal resources whose sustainable utilization requires optimized harvesting, processing, and conservation strategies. This study evaluated the effects of drying conditions, environmental factors, extraction techniques, and biotechnological approaches on the yield and quality of bioactive compounds from these species. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,595 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpecies Diversity of Lichens in the Burabay State National Park, KazakhstanAizhan Baubekova, Zhanilxan Bukabayeva, Assemgul Sarsenova et al.Lichens constitute essential components of terrestrial ecosystems, and comprehensive documentation of lichen diversity is fundamental for conservation and ecosystem management. This study investigated the species composition and ecological distribution of lichens in Burabay State National Nature Park, northern Kazakhstan. Established in 2000, the park encompasses over 100,000 hectares representing a unique forest-steppe ecotone surrounded by extensive steppe landscapes, supporting approximately … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 16 Feb 2026 · 1,828 accessesView PDFCite