The aim of this paper is to investigate the feasibility of using remotely sensed data for the determination of important biophysical parameters relevant to carbon modelling in northern boreal forests. Detailed ground and remotely sensed data (Landsat TM) have been collected in a forest area in Siggefora, central Sweden, dominated by Norway spruce and Scots pine. A forest canopy reflectance mode...

China is experiencing a drastic loss of arable land as a result of the continuing process of rapid urbanization. This loss could have an adverse impact not only on China’s sustainable development but also on the world food market. To provide a robust and economical tool for evaluating the impact of this process, we developed an IHS (Intensity, Hue, Saturation)-based approach for detecting the c...

Retrieval of the surface reflectance is important in the remotely sensed data analysis to obtain the atmospheric reflectance or atmospheric correction. The relationship between visible and mid infrared reflectance over land was investigated and developed in this study. The surface reflectances of the two visible bands were measured using a handheld spectroradiometer collected around Penang Isla...

to use remote sensing data effectively, one must understand the spectral characteristics of the particular features under investigations. to study the relationship between soil salinity and soil reflectance, four multispectral scanners (mss) and seven thematic mappers (tm bands) over the ardakan playa located on the central iranian desert margins were selected. in this study soil map, soil ...

In this study, several methods to compute land surface temperatures (LST) from Landsat TM5 data are compared. Two different approaches are considered. An image based approach that takes into account atmospherically corrected data by using a dark object subtraction model (DOS-1) and computes the emissivity as NDVI function. The emissivity of a surface is controlled by such factors as water conte...

Leaf chlorophyll content is an important variable for agricultural remote sensing because of its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was developed based on the area of a triangle surrounding the spectral features of chlorophyll with points at (670 nm, R670), (550 nm, R550), and (480 nm, R480), where R is the spectral reflectance at wavelengths of 67...

Landsat 5 TM imagery was used to study the distribution of coastal habitats along the Eastern African coast, from Mnazi Bay (Tanzania) south to Pemba Bay (Mozambique), across the mouth of the Ruvuma estuary and the Quirimbas archipelago. Eight classes of coastal habitats, adapted from the Ramsar convention classification –intertidal, and subtidal –were mapped at a coarse descriptive resolution ...