This paper compares and contrasts predictions of forest height in Sitka spruce (Picea sitchensis) plantations based on mediumresolution Landsat ETM+, high-resolution IKONOS satellite imagery and airborne Light Detection And Ranging (LiDAR) data. The relationship between field-measured height and LiDAR height is linear and highly significant (R 0.98) and so LiDAR height measurements were used to...

DEM-based topographic corrections on Landsat-7 ETM+ imagery from rugged terrain, as an effective processing techniques to improve the accuracy of Land Use/Land Cover (LULC) classification as well as land surface parameter retrievals with remotely sensed data, has been frequently reported in the literature. However, few studies have investigated the exact effects of DEM with different resolution...

The aim of this paper is to investigate the feasibility of using Landsat ETM+ data for the determination of leaf area index (LAI). The investigation is prompted by the need for obtaining spatially distributed data on LAI to be used as input for carbon modelling of northern boreal forests. Detailed field data have been collected in a coniferous forest area in Uppland, central Sweden, dominated b...

Selective logging is currently a widely adopted management practice throughout the tropics. Monitoring of spatial extent and intensity of such logging is, therefore, becoming an important issue for sustainable management of forest. In spite of successful use of RS in various field of forestry, detection and quantification of selective logging is still a problem. This study explores the possibil...

Information about an area and its distribution of planted and harvested paddy rice field is essential for food security management, water resource management, and for the estimation of gas emissions. Rice field has specific coverage characteristics throughout its life time. Its coverage is mixed proportionally in accordance with its age, between water, soil, and rice vegetation. Landsat ETM+ ha...

This paper presents an improved Artificial Immune System (AIS) approach for unsupervised classification in multispectral remote-sensing imagery. For benchmarking, one has considered several unsupervised nature-inspired intelligent classifiers (AIS, neural, fuzzy) versus statistical ones. We have comparatively evaluated the following pattern recognition techniques: the proposed AIS model; Self-O...

Forty-year calibrated record of earth-reflected radiance from Landsat: A review" (2012). a b s t r a c t a r t i c l e i n f o Sensors on Landsat satellites have been collecting images of the Earth's surface for nearly 40 years. These images have been invaluable for characterizing and detecting changes in the land cover and land use of the world. Although initially conceived as primarily pictur...