Resultados de búsqueda - Truth and Method

Qualitative methods for gender research in agricultural development por Rubin, Deborah

“…The rise of mixed methods approaches to development-oriented research has brought new attention to qualitative research methods. …”
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Narrative foresight in technical organizations: epistemological and methodological contributions from a practice of scenario method in Argentina por Patrouilleau, Maria Mercedes

“…The following paper explores the experience of narrative Foresight applied to the use of the scenario method in Argentina in the light of the contributions of critical Future Studies concerning the narrative dimension in the last years. …”
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Ecological niche modeling approach for assessing potential for expansion of irrigated rice under alternate wetting and drying method por CGIAR Research Program on Climate Change, Agriculture and Food Security

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Evaluating inventory methods for estimating stem diameter distributions in micro stands derived from airborn laser scanning por Lundholm, Anders

“…Three different sampling methods were compared; circular plot inventory Sample 1 (S1) and two transect inventories Sample 2 and Sample 3 (S2 and S3). …”

CGIAR Climate Security Observatory (CSO) Impact. por Bioversity International and International Center for Tropical Agriculture (CIAT)

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Swedish gross felling statistics and harvesting season determination in the National Forest Inventory por Roberge, Cornelia

“…In this report, the two methods for estimating the national annual gross fellings are described. …”

An evaluation of flood inundation mapping from MODIS and ALOS satellites for Pakistan por Amarnath, Giriraj, Rajah, Ameer

“…The MODIS flood products were validated in comparison with advanced land observing system (ALOS) sensors, which have both advanced visible and near infrared radiometer and phased array type L-band synthetic images using the flood fraction comparison method. A simple threshold method is created to cluster the data to identify the flood pixels in the imagery. …”
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Cloud-based crop type mapping for Nandi County, Kenya por Guo, Zhe

“…We surveyed crop type’s ground truth data in Nandi County that integrates time series Sentinel-2 imagery to construct the training sample dataset. …”
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Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese por Xueliang Cai, Yuanlai Cui

“…Accuracy assessment suggests good agreement with statistical data and 91% classification accuracy when using IKONOS high resolution images as Ground Truth data. The application demonstrates the method a cost-efficient and robust approach to extract crop planting structure at irrigation system scale.…”
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Modelling of carbamazepine and diclofenac in a river network por Vochezer, Klaus

“…One explanation for the fluctuation in Diclofenac loads is a variation in the input loads to the rivers, another is degradation by photolysis in the river network. To prove this, one method was to analyse the measurements statistically and the other method was to set up a one-dimensional model of the fate of this pharmaceuticals in a pre-alpine river catchment (1750 km2) in Switzerland. …”
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In-season crop-type mapping in Kenya using Sentinel-2 imagery por Li, Hui, Guo, Zhe, Di, Liping, Guo, Liying, Zhang, Chen, Lin, Li

“…This study employed a supervised machine learning method to produce three Kenya counties’ in-season crop-type maps in September 2023. …”
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Integration of remote sensing techniques for resource evaluation in pastoral systems research por Leeuw, P.N. de, Milligan, K.

“…Discusses the integration of remote sensing techniques with ground truth within the context of rapid appraisal methods and early warning procedures within a livestock systems research approach.…”
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Inundations in the Sri Lanka: monitoring and analysis from MODIS [Moderate Resolution Imaging Spectroradiometer] and ALOS [Advanced Land Observing Satellite] instrument por Amarnath, Giriraj, Alahacoon, Niranga, Inada, Yoshiaki

“…Unsupervised image classification method was used to classify the fused image in to different land-cover classes. …”
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Accuracy assessment of the geomorphon approach to detect ecological sites in the Dry Chaco region of Argentina por Coria, Rubén Darío, Brungard, Colby, Vizgarra, Lidia Amanda, Moretti, Lucas Martin, Schulz, Guillermo, Rodriguez, Dario Martin

“…Geomorphon is a computationally efficient method that uses Digital Elevation Models (DEMs) for the classification of landforms at multiple scales. …”
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基于多时相遥感影像的东北三省作物分布信息提取 por Hao, W., Mei, X., Xueliang Cai, Du, J., Liu, Q.

“…Results indicated that the method can accurately reflect various crop distributions in Northeast China and be applied for large-area crops classification and crop planting extraction.…”
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Integrating spatial heterogeneity to enhance spatial temporal crop yield predictions por Msangi, F.M.

“…However, the common machine learning methods often overlook the spatial heterogeneity inherent in regions leading to sub-optimal estimations. …”
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A critical approach to co-producing knowledge for development por Nehring, Ryan, Galeana, Fernando, Faxon, Hilary

“…It develops a conceptual framework and practical guidance for co-producing knowledge for development. Approach and Methods The study provides an overview of the theory and practice of co-production and assesses its use in existing development policy. …”
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Index insurance and climate risk management: Addressing social equity por Fisher, Eleanor, Hellin, Jonathan, Greatrex, Helen, Jensen, Nathaniel D.

“…Attention to how benefits and burdens of index insurance are distributed raises the unpalateable truth for development policy that the poorest members of rural society can be excluded. …”
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Design, construction and evaluation of a drone-tethered river survey vessel por Maharaj, U., Singh, K., Pike, T., Pike, C.

“…Traditional point-sampling methods limit comprehensive assessments of river health over large spatial areas. …”
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Land use mapping of selected sites in the Cambodia, Mekong Mega-Delta using high resolution satellite imagery por Villano, Lorena, Garcia, Cornelia, Rala, Arnel, Raviz, Jeny, Laborte, Alice

“…This approach leverages spectral, textural, and spatial attributes to enhance classification accuracy while minimizing misclassification errors commonly associated with pixel-based methods. The classification results are further validated using ground truth data collected through field surveys and supplementary sources such as Google Earth and the RIICE project’s rice area maps. …”
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