In New Zealand, approximately 70% of plantation forests are large-scale (over 1000 ha) with accurate resource description. In contrast, the remaining 30% of plantation forests are small-scale (less than 1000 ha). It is forecasted that these small-scale forests will supply nearly 40% of the national wood production in the next decade. However, in-depth description of these forests, especially th...

In response to the increasing need for fast satellite image processing SPACE-SI developed STORM—a fully automatic image processing chain that performs all processing steps from the input optical images to web-delivered map-ready products for various sensors. This paper focuses on the automatic geometric corrections module and its adaptation to very high resolution (VHR) multispectral images. In...

This study assessed the prediction accuracy of forest aboveground biomass (AGB) model using remotely sensed data sources (i.e. airborne laser scanning (ALS), RapidEye, Landsat), and combination ALS with RapidEye/Landsat parametric weighted least squares (WLS) regression. We also analysed AGB random forests, extremely randomized trees, deep learning stacked autoencoder (SAE) network from nonpara...

In the summer of 2011 extreme rain events with unprecedented high precipitation intensities led to extensive flooding and damages within the area of Rostock. While meteorological causes and consequences of these phenomena were discussed in the following period of time, the recent project “KOGGE” pursues the assessment of functionality and hydraulic capacity of small scale rivers. Within the pro...

Forests contribute significantly to terrestrial biodiversity conservation. Monitoring of tree species diversity is vital due climate change factors. Remote sensing imagery a means data collection for predicting species. Since various sensors have different spectral and spatial resolutions, it worth comparing them ascertain which could influence the accuracy prediction diversity. Hence, this stu...

Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean) with different canopy structure, leaf structure and photosyn...

O monitoramento de recursos hídricos serve como base para tomada decisão e amenizar os efeitos futuras crises hídricas, como, por exemplo, a crise no Sistema Cantareira, área estudo deste trabalho, biênio 2013/14. Investigamos confiabilidade da classificação imagens, utilizando técnicas sensoriamento remoto aprendizado máquina contexto hídricos, que é um recurso indispensável sociedade. Os expe...

For in-season site-specific nitrogen (N) management of rice to be successful, it is crucially important to diagnose rice N status efficiently across large areas within a short time frame. In recent studies, the FORMOSAT-2 satellite images with traditional blue (B), green (G), red (R), and near-infrared (NIR) wavebands have been used to estimate rice N status due to its high spatial resolution, ...

Chaohu Lake is one of the largest freshwater lakes in China, however, with the rapid expansion of Hefei, the water environment of Chaohu Lake shows significantly deterioration. In this paper, RapidEye and MODIS imagery were used to monitor the chlorophyll alpha (Chla) distribution in Chaohu Lake. After analyzing the correlation between in-situ measured Chla concentrations and each channel of Ra...