Multi-temporal Landsat-8 satellite images with fine spatial resolution (i.e., 30 m) are crucial for modern digital soil mapping (DSM). Generally, cloud-free covering bare topsoil common choices DSM. However, the number of effective data is greatly limited due to cloud contamination coupled coarse temporal resolution, and interference material in most months, hindering development accurate To ad...

17 Abstract—This study outlines a method for generating an 18 automated micro-landform map of an alluvial plain for 19 further flood hazard assessment by combining Shuttle Radar 20 Topographic Mission Digital Elevation Model (SRTM DEM) 21 and satellite images. Average elevation and channel features 22 extracted from DEM are associated with soil moist condition 23 (thresholds of Modified Normali...

soil and land information is vital for land use planning and infrastructure development. maps of soils landscapes are powerful tools to guide sustainable planning and natural resource management. fuzzy set theory has been widely used in soil science for soil classification and mapping, land evaluation, fuzzy soil geostatistics, soil quality indices. in fuzzy logic-based approaches, soil spatial...

This article presents two approaches for automated building of knowledge bases of soil resources mapping. These methods used decision tree and Bayesian predictive modeling, respectively to generate knowledge from training data. With these methods, building a knowledge base for automated soil mapping is easier than using the conventional knowledge acquisition approach. The knowledge bases built ...

A method is proposed to transform the red and near infrared data into a soil index in order to map soil features. The index maximises soil variation and helps improve soil feature mapping while it suppresses spectral response from vegetation cover. Geo-statistical analysis of fi eld data, on the other hand, helps understand spatial dependency pattern and map it, which may not be directly visibl...

Based on the foregoing lectures respective applications of both Polarimetry and Interferometry will be presented. From he large palette of possibilities which includes global mapping with space borne SAR and the establishment of digital terrain models with high accuracy, observation and to some extent prediction and forecast of natural disasters (involving landslides caused by earthquakes ore a...

this paper presents a method for generating a digital management map to apply cyanazine pre-emergence herbicide. the main objective was to develop a precision method to generate management maps for the variable rate application of herbicide to reduce the amount of herbicide applied and its adverse impact on the environment. first, local and utm coordinates of a field were determined using total...