This study evaluated the accuracy of boreal forest above-ground biomass (AGB) and volume estimates obtained using airborne laser scanning (ALS) and RapidEye data in a two-phase sampling method. Linear regression-based estimation was employed using an independent validation dataset and the performance was evaluated by assessing the bias and the root mean square error (RMSE). In the phase I, ALS ...

The RapidEye system is a new generation of operational small-satellite constellations designed to meet the growing requirements for remotely sensed satellite imagery. Based on a constellation of five satellites, each carrying a 5-band 6.5 metre multi-spectral (MS) imager, the RapidEye system is capable of daily collection of over 4Mkm 2 with access to any point on the surface of the earth every...

In this study we evaluate the capabilities of three satellite sensors for assessing water composition and bottom depth in Lake Garda, Italy. A consistent physics-based processing chain was applied to Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat-8 Operational Land Imager (OLI) and RapidEye. Images gathered on 10 June 2014 were corrected for the atmospheric effects with the 6SV ...

Die RapidEye Satellitenkonstellation wurde am 29. August 2008 gestartet und liefert seit Anfang 2009 Bilddaten von der Erdoberfläche. Das System besteht aus 5 baugleichen Satelliten, deren Multispektralsensoren großflächig und regelmäßig Aufnahmen in 5 Spektralbändern im optischen und nahinfraroten Bereich mit einer räumlichen Auflösung von 6.5 m liefern. Eine Besonderheit der RapidEye Daten im...

Image time series of high temporal and spatial resolution capture land surface dynamics of heterogeneous landscapes. We applied the ESTARFM (Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model) algorithm to multi-spectral images covering two semi-arid heterogeneous rangeland study sites located in South Africa. MODIS 250 m resolution and RapidEye 5 m resolution images were fused to ...

Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate, up-to-date and cost-effective information about the crop types at the different temporal and spatial resolution. In this study, the potential...

Multi-temporal and multi-sensor satellite information can supply valuable information about vegetation species, especially in the context of biodiversity. Main focus of the presented project CARE-X is the development of a remote sensing technology for the European monitoring of NATURA 2000 areas. For this type of monitoring, information about the structure and composition of the existing vegeta...

With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop mapping. Since the satellite RapidEye was launched in 2009, high resolution multispectral imagery together with wide red edge band has been utilized in vegetation monitoring. Broad red edge band relat...

Crop mapping in West Africa is challenging, due to the unavailability of adequate satellite images (as a result of excessive cloud cover), small agricultural fields and a heterogeneous landscape. To address this challenge, we integrated high spatial resolution multi-temporal optical (RapidEye) and dual polarized (VV/VH) SAR (TerraSAR-X) data to map crops and crop groups in northwestern Benin us...

Bark beetles cause widespread damages in the coniferous-dominated forests of central Europe and North America. In the future, areas affected by bark beetles may further increase due to climate change. However, the early detection of the bark beetle green attack can guide management decisions to prevent larger damages. For this reason, a field-based bark beetle monitoring program is currently im...