The metropolitan coastal zone mapping is critical for coastal resource management, coastal environmental protection, and coastal sustainable development and planning. The results of geometric processing of a Shanghai coastal zone from 0.7-m-resolution QuickBird Geo stereo images are presented firstly. The geo-positioning accuracy of ground point determination with vendor-provided rigorous physi...

Soil erosion rates in alpine regions are related to high spatial variability complicating assessment of risk and damages. A crucial parameter triggering soil erosion that can be derived from satellite imagery is fractional vegetation cover (FVC). The objective of this study is to assess the applicability of normalized differenced vegetation index (NDVI), linear spectral unmixing (LSU) andmixtur...

This paper discusses geometric modelling and photogrammetric processing methods for high-precision mapping using stereo QuickBird images, and reports research results of data processing in an area in Tampa Bay, Florida,. First, a set of panchromatic “Basic” QuickBird stereo images are evaluated using GPS control points. Systematic errors in the vendor-provided RPCs (Rational Polynomial Coeffici...

Sagebrush ecosystems in North America have experienced extensive degradation since European settlement. Further degradation continues from exotic invasive plants, altered fire frequency, intensive grazing practices, oil and gas development, and climate change – adding urgency to the need for ecosystem-wide understanding. Remote sensing is often identified as a key information source to facilita...

The paper addresses the item of orthorectification of high resolution satellite images and the assessment of the final accuracy achieved when Digital Surface Models (DSM) provided by other remotely sensed data are used. By using a photogrammetric processing, a DSM was obtained from an EROS (Earth Resources Observation System) high resolution stereo pair acquired over a portion of the city of Bo...

This study focused in how to thoroughly exploit the capability of high-resolution satellite imagery such as IKONOS and QuickBird for disaster mitigation. An efficient automated methodology for damage detection was firstly implemented to derive the available rich information from satellite imagery. That detected results and the satellite imagery consequently were attractively presented through a...

The high spatial resolution of QuickBird satellite images makes it possible to show spatial variability at fine details. However, the effect of topography-induced illumination variations become more evident, even in moderately sloped areas. Based on a high resolution (1 m) digital elevation model generated with high-frequency real-time kinematic global position system measurements, this study a...

Leaf area index (LAI) is a key biophysical variable that can be used to derive agronomic information for field management and yield prediction. In the context of applying broadband and high spatial resolution satellite sensor data to agricultural applications at the field scale, an improved method was developed to evaluate commonly used broadband vegetation indices (VIs) for the estimation of L...

Remotely sensed multitemporal, multisensor data are often required for change detection applications. A common problem associated with the use of these data is the grey value difference caused by non-surface factors such as different illumination, atmospheric, or sensor conditions. Such a difference makes it difficult to accurately detect changes using automatic methods. Effective image normali...

To improve the efficiency of agricultural lands condition and use monitoring, method for detecting fallow overgrowth with tree shrub vegetation using multi-temporal multispectral satellite images high spatial resolution is proposed. The task localization solved on basis wavelet analysis. This technique allows to operationally automatically detect areas vegetation. proposed methodology was teste...