The complexity of land use and land cover change (LULC) models is often attributed to spatial heterogeneity of the phenomena they try to emulate. The associated outcome uncertainty stems from a combination of model unknowns. Contrarily to the widely shared consensus on the importance of evaluating outcome uncertainty, little attention has been given to the role a well-structured spatially-expli...

Remote sensing change detection technique has been an important method to observe the land use change. At present, there are lots of algorithms of land use change detection, but there isn’t an existing integrating frame and platform: the new-developed change detection platforms have limitation of supporting data sources and developing always consumes long time; while the change detection module...

This study used archived remote sensing images to depict the history of changes in soil salinity in the Hetao Irrigation District in Inner Mongolia, China, with the purpose of linking these changes with land and water management practices and to draw lessons for salinity control. Most data came from LANDSAT satellite images taken in 1973, 1977, 1988, 1991, 1996, 2001, and 2006. In these years s...

The study of land cover change is an important problem in the Earth science domain because of its impacts on local climate, radiation balance, biogeochemistry, hydrology, and the diversity and abundance of terrestrial species. Data mining and knowledge discovery techniques can aid this effort by efficiently discovering patterns that capture complex interactions between ocean temperature, air pr...

[1] Three radiative transfer equations are built for MODIS bands 29, 31, and 32, which involve six unknown parameters (average atmospheric temperature, land surface temperature (LST), three band emissivities, and water vapor content). The relationships between geophysical parameters have been analyzed in detail, which indicates that neural network is one of the best methods to resolve these ill...

This thesis is concerned with detection logarithms of non-metallic anti-personnel (AP) land mines and the related signal processing using stepped-frequency ground penetrating radar (SF-GPR) technique. Modern land mines are essentially made out of plastic and ceramic materials. This makes their detection using GPR sensor almost impossible without proper signal processing. Many signal processing ...

In this research, a technique to estimate the volume change by using Differential Interferometric Synthetic Aperture Radar (DInSAR) is proposed to retrieve the volume change of long-term continuously land deformation (subsidence or uplift). This technique is employed to investigate subsidence of Bandung city, Indonesia to demonstrate the capability of this technique by assessing two Japanese L ...

Multitemporal Landsat7-ETM+ imagery and supplementary field survey data were used to establish a crop and land use map for an area of ±20 000 km2 of Sanjiang Plain in China’s north-eastern province Heilongjiang. The “field-based” map is based on data of the year 2002 and is created by combining the results of a supervised Maximum Likelihood classification with the estimated field boundaries ext...

This study intends to investigate the use of NASA/JPL POLSAR data (multilook Cand L-bands) for classifying land cover features, such as vegetation (i.e. grass, rice paddy, rubber), natural feature (i.e. river), and man-made features (i.e. canal, highway, runway, built-up area). Covering the area of Jitra, the 10 meters resolution air-borne POLSAR data acquired on 3 December 1996 was used in thi...

We propose a multidimensional framework for characterization of land surface dynamics based on time series of elevation data acquired by LiDAR technology. The proposed methods integrate line feature, surface and volume analysis. A novel, least cost path approach for coastal dune ridge and dune toe extraction is presented to support automated feature evolution analysis. Per-cell statistics is ap...