نتایج جستجو برای: multi temporal remotely sensed data
تعداد نتایج: 2938409 فیلتر نتایج به سال:
In order to evaluate the capability of ETM+ remotely- sensed data to provide "Forest- shrub land- Rangeland" cover type map in areas near the timberline of northern forests of Iran, the data was analyzed in a portion of nearly 790 ha located in Neka- Zalemroud region. First, ortho-rectification process was implemented to correct the geometric errors of the image, which yielded 0/68 and 0/69 pix...
Rot in commercial timber reduces the value of wood substantially and estimating occurrence, severity, volume heartwood rot would be a useful tool decision-making to minimize economic losses. Remotely sensed data has recently been used for mapping on single-tree level, although results have relatively poor, some potential shown. This study applied area-based approaches predict , at an area level...
“From pixels to processes” – this the shortest and most essential formulation of all studies, experiments and investigations carried out in the field of Earth remote sensing observations. This formulation reveals two main directions of data interpretation: the first related to classification and feature retrieval, and the second associated with multi-temporal aspects of remotely sensed data and...
Bee keeping is indispensable to global food production. It is an alternate income source, especially in rural underdeveloped African settlements, and an important forest conservation incentive. However, dwindling honeybee colonies around the world are attributed to pests and diseases whose spatial distribution and influences are not well established. In this study, we used remotely sensed data ...
Multi-temporal remotely sensed images have proved to be of great interest for earth resource assessment and environment monitoring. Automatic or semi-automatic interpretation of these images becomes an important and complex task in computer vision for land use change detection. However, facing the complexity of such images, many classical image interpretation techniques become inefficient. In t...
− This paper examines the use of different classifiers for integrating multi-temporal remotely sensed data with landform data derived from digital elevation models to produce maps showing areas affected by salinity in the south west agricultural region of Western Australia. Decision trees are used to map saline areas in the Ryan’s Brook catchment, located approximately 50 kilometres southwest o...
The long-term goal of the work described here is to develop and test a general methodology for predicting unmeasured river characteristics using a variety of potentially incomplete remotely sensed data sets. Rather than addressing the problem using various geostatistical techniques to interpolate and extrapolate the remotely sensed data, we are developing two physically based techniques, each o...
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