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Very high spatial resolution multispectral images and lower spatial resolution hyperspectral images are complementary sources for urban object classification. The first enables a fine delineation of o...
Image classification is a compulsory step in any remote sensing research. Classification uses the spectral information represented by the digital numbers in one or more spectral bands and attempts to ...
The NASA DEVELOP National Program bridges the gap between NASA Earth Science and society by building capacity in both participants and partner organizations that collaborate to conduct projects. These...
The unsupervised change detection of multitemporal SAR usually can get different results through different threshold selection algorithms. It is hard to determine what kinds of results are the best. I...
A lot of wetlands exist in the Yellow River Delta area, Shandong China and exhibit significance for the delta ecological environmental evolution and animal habitat protection. It is important for wetl...
Monitoring and evaluating natural disasters is one of important applying fields of remote sensing. In this paper, the authors monitor dynamically the change and move laws of landslides by making use o...
This paper examines the applicability of binary decision tree (DT) classifier and ASTER data for the monitoring of wetland vegetation at plant family level (eight dominant plant families in the study ...
Airborne Light Detection and Ranging (LiDAR) generates high-density 3D point clouds to provide a comprehensive information from object surfaces. Combining this data with aerial/satellite imagery is qu...
Nowadays, urban areas are threatened by a number of natural hazards such as flood, landslide and earthquake. They can cause huge damages to buildings and human beings which necessitates disaster mitig...
There is a growing need for consistent and up to date land cover data at various scales by regional, national and European authorities. Main drivers are recent or upcoming European directives and init...
Natural hazards or any other man-induced hazards will become a serious disaster when they strike the man-made environments causing a huge loss to human life as well as natural resources. In order to ...
A sustainable rural development program, apart from bringing access to spatial information on various themes, should also enable the participants to get query based online decision support. Value-add...
Four different data fusion methods for classifying SAR images with different spatial resolutions were tested and compared. Test area was Helsinki region in Southern Finland and test data 14 ERS-1/2 T...
Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. The aim of image fusion is to integrate complementary data in order to obtain more an...
The establish of the indicator system, the selection of evaluation forecasting model and the integration of the system are the three main problems in the regional sustainable development decision sup...

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