Search Results - "algorithm"

Calibration of a semi-distributed hydrological model using discharge and remote sensing data by Muthuwatta, Lal P., Booij, M.J., Rientjes, T.H.M., Bos, M.G., Gieske, A.S. M., Ahmad, Mobin-ud-Din

“…First, daily actual evapotranspiration is estimated using available MODIS satellite data, routinely collected meteorological data and applying the SEBS algorithm. Second, the semi-distributed hydrological model HBV is calibrated and validated using the estimated evapotranspiration and observed discharge. …”
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Evaluating purple passion fruit (Passifloraedulis Sims f. edulis) genetic variability in individuals from commercial plantations in Colombia by Ortíz, Diana Carolina, Bohórquez Cháux, Adriana, Duque E., Myriam Cristina, Tohme, Joseph M., Cuéllar, David, Mosquera Vasquez, Teresa

“…Relationships among individuals were assessed on AFLP data using cluster analysis by Dice coefficient, UPGMA algorithm and the multiple correspondence analysis ordination method based on Greenacre measurement. …”
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Assessing impact of flood on river dynamics and susceptible regions: geomorphometric analysis by Sharma, C.S., Mishra, Atmaram, Panda, S.N.

“…Aspects distribution algorithm did not work well in low relief regions. …”
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Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa by Amarnath, Giriraj, Rajah, Ameer, Alahacoon, Niranga, Inada, Yoshiaki, Inoue, R., Aggarwal, Pramod K.

“…This paper presents two different research activities (1) flood detection algorithm which uses vegetation and water indices (NDVI, EVI, LSWI, DVEL) at a spatial resolution of 500m and time period 2000 – 2013 using MODIS Terra/Aqua and JAXA PALSAR satellite to spatially and temporally quantify flood inundation extent at a continental scale in South Asia, Southeast Asia and Nigeria in the context of emergency response and (2) blending satellite data and RADAR (Rapid Agriculture Disaster Assessment Routine) tool for rapid flood damage assessment in agriculture with a case study in Sri Lanka. …”
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Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images by Musyimi, Z., Said, Mohammed Yahya, Zida, D., Rosenstock, Todd S., Udelhoven, T., Savadogo, P., Leeuw, Jan de, Aynekulu, Ermias

“…The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. …”
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ViralPlaque: a Fiji macro for automated assessment of viral plaque statistics by Cacciabue, Marco Polo, Curra, Anabella Paola, Gismondi, Maria Ines

“…Also, a machine learning plugin is integrated in the analysis algorithm for adaptation of ViralPlaque to the user’s needs and experimental conditions. …”
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Validation of a methodology for grouping intakes of pressurized irrigation networks into sectors to minimize energy consumption by Jiménez-Bello, Miguel Ángel, Martinez Alzamora, Fernando, Castel, Juan R., Intrigliolo, Diego S.

“…These authors proposed grouping pressurized irrigation network intakes, each of the water turnouts resulting from a shared hydrant, into sectors via a genetic algorithm. In the present research, the methodology was applied and validated in a water users association. …”
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Caracterización de recursos forrajeros de sistemas de pastoreo de la altillanura colombiana usando el algoritmo LOCAL con espectroscopía en el infrarrojo cercano by Ariza Nieto, Claudia Janeth, Mojica, B., Mayorga Mogollón, Olga Lucía, Sierra Alarcón, Andrea Milena, Mancipe Muñoz, Edgar Augusto, Vargas Dominguez, Jahir, Afanador Téllez, Germán

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Method evaluation of GIS-based prediction tools for biodiversity by Birgersson, Malin

“…The empirical model is based on occurrence data, a biotope map and software called Genetic Algorithm for Rule-set Production (GARP), which predict species distribution. …”
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Stepwise approach for the control and eventual elimination of Taenia solium as a public health problem by Braae, U.C., Gabriël, S., Trevisan, C., Thomas, Lian F., Magnussen, P., Abela-Ridder, B., Ngowi, H., Johansen, M.V.

“…Conclusions The stepwise approach can provide the framework for the development of realistic control goals of endemic areas, the implementation of intervention algorithms, and the standardised monitoring of the evaluation of the progress towards obtaining the control target goals and eventually elimination.…”
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Sentinel-1 SAR Time Series-Based Assessment of the Impact of Severe Salinity Intrusion Events on Spatiotemporal Changes in Distribution of Rice Planting Areas in Coastal Provinces... by Hoang-Phi, Phung, Lam-Dao, Nguyen, Pham-Van, Cu, Chau-Nguyen-Xuan, Quang, Nguyen-Van-Anh, Vu, Gummadi, Sridhar, Le-Van, Trung

“…Sentinel-1 (S-1) data were used to extract the spatial distribution information of six rice growth stages based on a rice age algorithm. The classification accuracy of rice crop growth stages was found to have an overall accuracy of 85% and a Kappa coefficient of 0.80 (n = 373). …”
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Predicting landscape-scale biodiversity recovery by natural tropical forest regrowth by Prieto, P.V., Bukoski, J.J., Barros, F.S.M., Beyer, H.L., Iribarrem, A., Brancalion, P.H.S., Chazdon, R.L., Lindenmayer, D.B., Strassburg, B.B.N., Guariguata, Manuel R., Crouzeilles, R.

“…We then employed a machine learning algorithm and a comprehensive set of socio-environmental factors to spatially predict and map this landscape-scale deviation. …”
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Informing equitable water and food policies through accurate spatial information on irrigated areas in smallholder farming systems by Magidi, J., van Koppen, Barbara, Nhamo, L., Mpandeli, S., Slotow, R., Mabhaudhi, Tafadzwanashe

“…This study addressed this gap by delineating disaggregated smallholder and commercial irrigated areas through the random forest algorithm, a non-parametric machine learning classifier. …”
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Post-processed climate dataset for the Sierra Nevada de Santa Marta (SNSM) Region in Colombia by Valencia Gómez, Jefferson, Frankenberger,Jane, Cherkauer, Keith, Martin López, Javier Mauricio, Monserrate Rojas, Fredy Alexander, Silva, Mayesse Aparecida da

“…Gaps in the daily weather data were filled using the nearest neighbor algorithm bounded by elevation (de Lima et al., in review). …”
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Application of advanced Wflow_sbm Model with the CMIP6 climate projection for flood prediction in the data-scarce: Lake-Tana Basin, Ethiopia [Abstract only] by Alaminie, A., Amarnath, Giriraj, Padhee, Suman Kumar, Ghosh, Surajit, Tilahun, S., Mekonnen, M., Assefa, G., Seid, Abdulkarim, Zimale, Fasikaw A., Jury, M.

“…Model-independent multi-algorithm optimization and parameter estimation tool is implemented for calibration and validation of Wflow. …”
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Implication of blanket NPK application on nutrient balance of maize based on soil and tissue diagnosis approaches in the savannas of northern Nigeria by Aliyu, K.T., Kamara, A., Huising, J.E., Adam, A.M., Shehu, B.M., Jibrin, J.M.

“…The DRIS indices were summed, and used to cluster plots using k-means cluster algorithm. The results show large differences in average yield between the clusters. …”
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Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information by Sawadogo, A., Dossou-Yovo, Elliott Ronald, Kouadio, L., Zwart, Sander J., Traoré, F., Gundogdu, K. S.

“…Multi-temporal Landsat images were used within the Python module for the Surface Energy Balance Algorithm for Land model to calculate rice ETa and CWP during the dry seasons of 2013 and 2014. …”
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Exploring phenotypic variation of diverse bambara groundnut (Vigna subterranea L) origin and development of mini-core collection for future breeding by Uba, C.U., Oselebe, H.O., Tesfaye, A., Mekonen, G.S., Abtew, W.G.

“…A mini-core collection of 60 landraces (20%) was developed that represents the entire collection using Core Hunter algorithm. In general, the study provides insight into bambara groundnut germplasm that would enhance cultivar development and sustains the utilization of the crop. …”
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Alternative cropping and feeding options to enhance sustainability of mixed crop-livestock farms in Bangladesh by Shahin Alam, Krupnik, Timothy J., Shanjida Sharmin, Mohammad Ashiqul Islam, Groot, Jeroen C.J.

“…The six modelled farms were subjected to Pareto-based multi-objective (differential evolution algorithm) optimization to generate alternative dairy farm and fodder configurations. …”
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Resilience in maternal and child nutrition outcomes in a refugee-hosting community in Cameroon: A quasi-experimental study by Tatah, Lambed, Nkunzimana, Tharcisse, Foley, Louise, de Brauw, Alan, Rodriguez-Llanes, Jose Manuel

“…We used a genetic matching algorithm to select controls from the rest of the country after excluding areas experiencing concurrent shocks. …”
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