Basic scientific research of land cover in Suqian is fundamental to ensure the sustainability of land resource management. The major study is to monitor the confusable land cover types according to the remote sensing, and the integrated information. It supplies a new direction for integrating date sets and improves the monitor on land cover. It presents a simple fusion approach for integrating ...

This study evaluated how spectral resolution of high-spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a meas...

Mapping ecosystem services (ESs) is an important tool for providing the quantitative information necessary for the optimal use and protection of ecosystems and biodiversity. A common mapping approach is to apply established empirical relationships to ecosystem property maps. Often, ecosystem properties that provide services to humanity are strongly related to the land use and land cover, where ...

Arctic coastal regions are threatened by changing climatic conditions and anthropogenic disturbances. Since SAR systems operate independently from external illumination and are not affected by cloud shadowing, they are suitable for continuous monitoring of pan-arctic environments. In this work we show the application of dual co-polarized (HH/VV) TerraSAR-X (TSX) data for unsupervised water and ...

Polarimetry is the measurement and interpretation of different polarizations of electro-magnetic waves. Synthetic Aperture Radar (SAR) has been proven to be a powerful earth observation tool and emerging Polarimetric SAR (POLSAR) adds another dimension to SAR information content. Polarimetric SAR has been used in retrieval of soil moisture and surface roughness, snow and ice mapping and land-co...

Land cover classification remains an important and complex problem when land observational satellites are involved. Conventional methods of image classification have been shown to provide adequate results; however, when complex surface arrangements are encountered the reliability of conventional approaches can be called into question. This situation is particularly apparent when land cover clas...

This paper examines the application of object-orientated processing and artificial intelligence techniques to high spatial resolution satellite sensor images for urban land-use monitoring. Although these techniques have been applied to aerial photography for some time, their use in the analysis of digital images acquired by satellite sensors is much less well developed. Within this study, a two...

High-latitude ecosystems play an important role in the global carbon cycle and in regulating the climate system and are presently undergoing rapid environmental change. Accurate land cover data sets are required to both document these changes as well as to provide land-surface information for benchmarking and initializing Earth system models. Earth system models also require specific land cover...