Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys
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چکیده
منابع مشابه
A Comparative Study of SVM and RF Methods for Classification of Alteration Zones Using Remotely Sensed Data
Identification and mapping of the significant alterations are the main objectives of the exploration geochemical surveys. The field study is time-consuming and costly to produce the classified maps. Therefore, the processing of remotely sensed data, which provide timely and multi-band (multi-layer) data, can be substituted for the field study. In this study, the ASTER imagery is used for altera...
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In this research, recognition of karstic water-bearing zones using the management of exploration data in Kal-Qorno valley, situated in the Tepal area of Shahrood, has been considered. For this purpose, the sequential exploration method was conducted using geological evidences and applying remote sensing and geoelectrical resistivity methods in two major phases including the regional and local s...
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Detailed data on tree species drive models that predict risk of insect and disease mortality in forest stands and simulation models for future stand conditions. Application of such models in geospatial analyses requires these data for millions of remotely sensed pixels. However, the vast majority of remotely sensed thematic maps predict a few categories of stand conditions, such as forest type ...
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Digital soil mapping techniques which incorporate the digital auxiliary environmental data to field observation data using software are more reliable and efficient compared to conventional surveys. Therefore, this study has been conducted to use k- Nearest Neighbors (k-NN) and artificial neural network (ANN) to predict spatial variability of soil salinity in Ardekan district in an area of 700 k...
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