Hyperspectral (HS) images are highly accurate for mineral discrimination, but available areas limited. For this reason, several methods have been proposed to extend the map of overlap region between HS and multispectral (MS) surrounding area with no image. One such method, by Hirai Tonooka, discriminates minerals using MS obtaining endmembers from positions endmember pixels in region. While met...

The application of machine learning (ML) algorithms for processing remote sensing data is momentous, particularly mapping hydrothermal alteration zones associated with porphyry copper deposits. unsupervised Dirichlet Process (DP) and the supervised Support Vector Machine (SVM) techniques can be executed main objective this investigation to practice an algorithm that accurately model best traini...

The object-based against pixel-based image analysis approaches were assessed for lithological mapping in a geologically complex terrain using Visible Near Infrared (VNIR) bands of WorldView-3 (WV-3) satellite imagery. study area is Hormuz Island, southern Iran, salt dome composed dominant sedimentary and igneous rocks. When performing the (OBIA) approach, textural spectral characteristics featu...

Change detection studies in remote sensing operate with the notion that a quantifiable difference in an object’s spectral value, from one time period to another, represents a physical change on the ground. To confound this premise, other factors, such as atmospheric conditions and illumination geometry, can influence an object’s spectral response. For this reason, a common first step in digital...

Multitemporal satellite optical images of the same terrain are very applicable in monitoring and quantifying large scale land cover change over time. These images are confounded in terms of radiometric consistency due to differences in sensor calibration parameters, illumination, geometric condition and variation in atmospheric effects. To analyze these images, it is necessary to omit mentioned...

Combined with increasing computing ability, the free and open access to Landsat archive has enabled changes on Earth’s surface be monitored for almost 50 years. However, due missing observations that result from clouds, cloud shadows, scan line corrector failure, data record is neither a continuous nor consistent time series. We present new gap-filling method, Missing Observation Prediction bas...

The broad overviews obtained with Landsat data can provide information concerning the location, types, and magnitudes of forest changes not easily obtainable by other means. One of the main goals of the current study is to provide spatial information regarding the more subtle forms of forest change rather than those primarily related to land cover conversion. A forest-dominated area in northern...

Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural cover types to increasingly impervious urban land. To map urban extent and its change over time, an innovative approach is employed that determines sub-pixel impervious surfaces from highresolutio...

In line with precision viticulture, in recent years new methods of vineyard management have been introduced, so as to optimize vine cultivation and production wine the highest quality. Following on methodologies developed for mapping other crop parameters, there is currently a growing research effort discrimination varieties, this information useful vineyard-scale management, local regional inv...