Maps of forest biomass are important tools for managing natural resources and reporting terrestrial carbon stocks. Using the San Juan National Forest in Southwest Colorado as a case study, we evaluate regional biomass maps created using physical variables, spectral vegetation indices, and image textural analysis on Landsat TM imagery. We investigate eight gray level co-occurrence matrix based t...

In this paper, the effect of urban heat island is analyzed using the Landsat TM data and ASTER data in 2005 as a case study in Hong Kong. Two algorithms were applied to retrieve the land surface temperature (LST) distribution from the Landsat TM and ASTER data. The spatial pattern of LST in the study area is retrieved to characterize their local effects on urban heat island. In addition, the co...

− 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...

Geographical information in the form of maps is continuously subjected to change, especially in urban areas. Therefore maps have to be updated, which can be done using satellite remote sensing techniques since many satellites are in orbit today. In this paper several object-based classification and change detection techniques are investigated. An important aspect in map-updating is the translat...

-Land surface classification and impervious surface cover derived from Landsat TM imagery is coupled with an urban growth model to predict future changes in surface runoff resulting from urbanization. An illustration is presented for a medium-sized watershed

Multispectral classification, one of the most commonly used methods for mapping burned areas, is based on the spectral properties of different classes of interest and employs special algorithms designed to perform various types of spectral analysis. However, the use of these classifications has been repeatedly reported to create confusion between burned areas and nonvegetation categories, espec...