13 articles for “Vegetation Indices”

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Research ArticleOpen accessPhrase in the titleIN-SEASON ASSESSMENT OF WHEAT CROP HEALTH USING VEGETATION INDICES BASED ON GROUND MEASURED HYPER SPECTRAL DATAKhalid Ali Al-Gaadi, Virupakshagouda Patil, ElKamil Tola et al.An experiment on a 50 ha center pivot field was conducted to determine the Vegetation Indices (VI’s) that were helpful in assessing the in-season performance of wheat crop treated with graded levels of irrigation water and fertilizers. The irrigation levels were at 100, 90, 80 and 70% evapotranspiration (ETc); however, the fertilizer levels of N: P: K kg-1ha included 300:150:200 … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 2 · 7 Jan 2014 · 7,518 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleHyperspectral Imagery for Mapping Disease Infection in Oil Palm Plantation Using Vegetation Indices and Red Edge TechniquesHelmi Zulhaidi Mohd Shafri, Nasrulhapiza HamdanProblem statement: Large scale plantation of oil palm trees requires on-time detection of diseases as the ganoderma basal stem rot disease was present in more than 50% of the oil palm plantations in Peninsular Malaysia. Approach: To deal with this problem, airborne hyperspectral imagery offers a better solution in order to detect and map the oil palm trees that were … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 10,505 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 abstractEffect of Altitude on Species Diversity and Vegetation Structure of Kigelia africana Parklands in CameroonAwé Djongmo Victor, Vroh Bi Tra Aimé, Noiha Noumi Valery et al.In the Faro Subdivision (North, Cameroon), there are populations of Kigelia africana, known by the common name “Dambale", whose variety is largely unknown. The study's goal is to demonstrate how altitude affects species diversity and vegetation structure in Kigelia africana parklands. To gather information for statistical analysis, a Randomized Complete Block Design (RCBD) was employed. A total of 90 quadrats … …American Journal of Agricultural and Biological Sciences, Vol. 20, Issue 1 · 20 Dec 2025 · 3,176 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Study of the Effects of Soil Salinity on the Growth and Development of Maize (Zea Mays L.) by using Sentinel-2 ImageryShakhislam Uzakbaevich Laiskhanov, Zhassulan Maratuly Smanov, Kulyash Duisenbaevna Kaimuldinova et al.Salinization of soil cover and the constant increase in their area have become one of the most pressing problems year after year for irrigated agriculture regions. The degradation processes caused by the salinity of soils negatively affect the growth and development of food crops. Therefore, this study focused on the effects of soil salinity in the midstream of the Syrdarya … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 15 Aug 2022 · 6,257 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStructure and Diversity of Agroforestry Parklands in the Sudano-Sahelian Zone of CameroonAwé Djongmo Victor, Noiha Noumi Valery, Zapfack LouisThe general objective of the study is to characterize the woody vegetation of 05 agroforestry parkland in the Sudano-Sahelian zone of Cameroon. A total of 40 floristic surveys of 200  20 m were carried out. A total of 33 species in 20 families and 31 genera were recorded. The dendrometric survey method enabled us to characterize the vegetation of … …American Journal of Agricultural and Biological Sciences, Vol. 16, Issue 1 · 2 Apr 2021 · 7,815 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCharacterization of the Earth's Surface State by Unsupervised Classification: Case of Vegetated, Aquatic and Mineral SurfacesJean-Claude Okaingni, Sié Ouattara, Adles Kouassi, Alain ClémentIn this study, we propose an unsupervised classification scheme based on the Dempster-Shafer Theory (TDS) and the Dezert-Smarandache Theory (DSmT) to characterize vegetated, aquatic and mineral surfaces. From pre-processed ASTER satellite images (georeferencing, geometric correction and 15 m re-sampling), neo-channels were produced by determining the spectral indices NDVI, MNDWI and NDBaI, considered as sources of information for classification of a … …American Journal of Applied Sciences, Vol. 15, Issue 7 · 27 Aug 2018 · 8,176 accessesView PDF Cite

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 PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractCorn Response to Nitrogen Timing and Rate under Strip Tillage and Low-Yield Environment in Southeastern Coastal PlainsPawel Wiatrak, Ahmad Khalilian, Guihua ChenProblem statement: Insufficient rainfall under low yield environment may affect nitrogen management, plant growth indices and grain yields of corn (Zea mays L.). Approach: The objective of this study was to determine the effects of two N application timings (all at planting and as split application with N applied at planting and V6 stage) and five N fertilizer rates (0, … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 10 Mar 2011 · 7,992 accessesView PDF Cite