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One of the problems in dealing with optical images for large territories (more than 10,000 sq. km) is the presence of clouds and shadows that result in having missing values in data sets. In this pa...
USE OF GIS AND MULTI-TEMPORAL IMAGING SPECTROMETER DATA FOR MODELLING AND MAPPING ENVIRONMENTAL CHANGES IN MINING AREAS.
MULTI TEMPORAL REMOTELY SERVED DATA CARTOGRAPHY FOR SUSTAINABLE NATURAL RESOURCES MANAGEMENT PRACTICES: GEDAREF REGION, EASTERN SUDAN.
GEOINFORMATION FOR EROSION MONITORING AND MAPPING USING MULTI-TEMPORAL AERIAL PHOTOGRAPHS SIMPLE INSTRUMENTS AND NUMERICAL DATA PROCESSING.
A coastline of about 100 km in southern Karnataka, India has been investigated in the present study. The analysis of shoreline changes in the past 90 years has been carried out to understand the coast...
Sand dredging has been practiced in rivers, lakes, harbours and coastal areas in recent years in China mostly because of demand from construction industry as building material. Sand dredging has distu...
In this paper, a framework is developed based on Support Vector Machines (SVM) for crop classification using polarimetric features extracted from multi-temporal Synthetic Aperture Radar (SAR) imagerie...
It is widely accepted that land degradation and desertification (LDD) are serious global threats to humans and the environment. Around a third of savannahs in Africa are affected by LDD processes that...
The objective of this research is to classify major crop types cultivated in Karacabey Plain of north western Turkey using multitemporal Kompsat-2 and Envisat ASAR data with an object-based methodolog...
Change detection on the basis of multi-temporal imagery may lead to false alarms when the image has changed, whereas the scene has not. Geometric image differerences in an unchanged scene may be due t...
The multi-temporal interferometric synthetic aperture radar (InSAR) technology has proven very useful in extracting surface deformation with time series of SAR images over a study area. To increase sp...
As landmass of the world is covered by vegetation, taking into account phenology when performing land cover classification may yield more accurate maps. The availability of no-cost Moderate Resolution...
Land cover changes (LCC) are an important component of Global Change. LCC can be described not only by its occurrence, but also by the land cover replacement, causal agent and change duration or recup...
Image Matching is often one of the first tasks in many Photogrammetry and Remote Sensing applications. This paper presents an efficient approach to automated multi-temporal and multi-sensor image matc...
Contrary to aerial images, satellite images are often affected by the presence of clouds. Identifying and removing these clouds is one of the primary steps to perform when processing satellite images,...

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