113 Works

EnGeoMAP - A geological mapping tool applied to the EnMAP mission

Christian Rogass, Karl Segl, Christian Mielke, Yvonne Fuchs & Hermann Kaufmann
Hyperspectral imaging spectroscopy offers a broad range of spatial applications that are primarily based on the foregoing identification of surface cover materials. In this context, the future hyperspectral sensor EnMAP will provide a new standard of highly qualitative imaging spectroscopy data from space that enables spatiotemporal monitoring of surface materials. The high SNR of EnMAP offers the possibility to differentiate and to identify minerals that are showing characteristic absorption features as a 30 m x...

Canopy structure effect on SAR image texture versus forest biomass relationships

Isabelle Champion, Jean Pierre Da Costa, Adrien Godineau, Ludovic Villard, Pascale Dubois-Fernandez & Tuy Le Toan
Quantifying forest biomass is of crucial importance for estimating carbon fluxes on the regional and global scale in climate change studies. Significant relationships have already been established between radar mean intensity and forest biomass, but these relationships show a reduced sensitivity to biomass variations for mature stands (about 80 t/ha and more). On the contrary, recent studies have shown that image texture is significantly related to biomass even for mature stands for a temperate, monospecific,...

Humic-type fluorescence from chromophoric dissolved organic matter, humic acids, and carbon nanoparticles in water.

Daria Khundzhua, Alexey Vervald, Tatiana Dolenko, Sergey Burikov, Olga Yakimenko, Mihail Freidkin & Svetlana Patsaeva
CDOM (coloured or chromophoric dissolved organic matter) is present in all types of natural water and plays a significant role in its optical properties. The humic-type fluorescence band (emission in the blue region with a maximum within 400 to 500 nm) essentially depends both on the CDOM source and on the wavelength of the exciting radiation. Despite the long-term study of the properties of CDOM and humic substances (HS), which make up most of the...

Satellite remote sensing approaches and field measurements to track coastline changes of the Sambian peninsula at the Baltic Sea.

Natalia Anatolievna Bryksina, Dzhuraboy Tursunbaevich Fidaev, Vitali Mikhaylovich Bryksin, Liliia Feodosievna Zhegalina & Denis Vladimirovich Eroshenko
The paper is aimed at the accuracy assessment of coastline extraction from optical imagery in studying the short period dynamics and development trends of the coastal zone of the Sambia Penin-sula using high- and ultra-high resolution satellite imagery. The paper presents the methodological issues relating to the studies of the Sambia Peninsula coastal dynamics using field data and optical images. It gives the error estimates for satellite remote sensing data based on comparison of those...

Evaluation of leaf area index and dry matter predictions for crop growth modelling and yield esti-mation based on field reflectance measurements

Heike Gerighausen, Holger Lilienthal, Thomas Jarmer & Bastian Siegmann
Leaf area index (LAI) and above ground biomass dry matter (DM) are key variables for crop growth monitoring and yield estimation. High prediction accuracies of these parameters are a vital prerequisite for sophisticated yield projections. The aim of the study was to examine the predictive ability of partial least squares regression (PLSR) for LAI and DM retrieval from hyperspectral (EnMAP), superspectral (Sentinel-2), and multispectral (Landsat 8, RapidEye) remote sensing data based on field reflectance measurements....

ALS for terrain mapping in forest environments: an analysis of lidar filtering algorithms.

Mihnea Cateanu & Ciubotaru Arcadie
Remote sensing enables the recording of accurate geomorphological data with the capability to efficiently cover large areas. However, the presence of vegetation makes the use of remote methods for terrain mapping difficult. LiDAR (Light Detection And Ranging) data collection by means of ALS (Airborne Laser Scanning) can be a solution for forestry projects, as the laser pulses cross the entire forest canopy and reach the soil underneath. In order to obtain an accurate digital terrain...

Unsupervised classification of satellite images using K-Harmonic Means Algorithm and Cluster Validity Index.

Habib Mahi, Nezha Farhi & Kaouther Labed
In this paper, we are presenting a process, which is intended to detect the optimal number of clusters in multispectral remotely sensed images. The proposed process is based on the combination of both the K-Harmonic means and cluster validity index with an angle-based method. The experimental results conducted on both synthetic data sets and real data sets confirm the effectiveness of the proposed methodology. On the other hand, the comparison between the well-known K-means algorithm...

PROSAIL model for reflectance simulations of mountainous non-forest communities

Anna Jarocinska, Bogdan Zagajewski, Adrian Ochtyra, Adriana Marcinkowska & Lucie Kupkova
Monitoring vegetation cover, especially in mountain and protected areas is an important issue. The analyses were conducted in Krkonose Mountains in the Krkonose National Park, Czech Republic. Heterogeneous non-forest mountain communities were analysed. The aim of the study was to check the possibility of using the Radiative Transfer Model to simulate the reflectance of very diverse mountain non-forest communities. In field measurements, biophysical parameters were collected and calculated to input parameters to the PROSAIL model....

The satellite-based products for supporting prevention and recovery of forest fires in PREFER

Giovanni Laneve, Roberto De Bonis, Lorenzo Fusilli, Fabrizio Ferrucci, Ana Sebastian Lopez, Luciano Lourenço, Adélia Nunes, Antonio Bento-Gonçalves, Stephen Clandillon, Lucia Tampellini, Barbara Hirn, Dimitris Diagourtas & George Leventakis
The PREFER FP7 project aims at responding to major fire prevention needs in Southern Europe. The Mediterranean area is systematically affected by uncontrolled forest fires with large impact on ecosystems, soil erosion, slope instability, desertification trends, and local economies as a whole, with a negative mid-to-long term prospect because of expected climate change. In this scenario, the need to improve the information and the intelligence support to forest fire prevention is widely recognized to be...

Mineral mapping based on automatic detection of multiple absorption features

Veronika Kopčková & Lucie Koucká
In comparison with multispectral image data, hyperspectral (HS) imagery with higher spectral resolution provides sufficient spectral resolution to describe diagnostic absorption signatures. Specific chemical bonds in materials, whether solid, liquid or gas, determine the surface reflectance and emittance, as variations in material composition often cause shifts in the position and shape of absorption bands in the spectrum. In addition, detecting the exact absorption wavelength position is a key factor not only for mineral identification but...

Semi-automatic open source geoprocessing for change-detection in federal geodata

Andreas Wicht & Ansgar Greiwe
This project addresses the vast complexity of keeping federal geodata up to date according to the official regulations. Cooperating with the Hessian state agency for land management and geoinformation (Hessisches Landesamt fÜr Bodenmanagement und Geoinformation - HLBG) concepts and solutions have been developed in a two-year project. It is supposed to enhance the efficiency of the geodata update processes within state agencies. With the help of the concept of change detection datasets are supposed to...

Forest ecosystem health assessment by exergy approach.

Olga Brovkina, Victor Gornyr, Iscander Latypov & Frantisek Zemek
The plant cover is the main absorbing landscape surface. Morphological and biochemical changes in this surface are associated with the extraction of information from the environment, including the solar spectrum. Interaction of the solar radiation with vegetation is resulting as a new composition of the spectrum of outgoing radiation. The exergy of the solar radiation, reflected by the surface of forest ecosystem, has been calculated by using digital data, recorded by the remote sensing satellites....

Multi- and Hiperspectral satellite sensors for mineral exploration, new applications to the Sentinel-2 and ENMAP mission.

Christian Mielke, Nina Kristine Boesche, Christian Rogass, Karl Segl & Hermann Kaufmann
Imaging spectroscopy is a widely used tool in mineral exploration today where exploration companies offer the full service package to their clients: (data acquisition, preprocessing and product delivery). These exploration projects rely mainly on airborne imaging spectrometers such as Hymap, AISA or HySpex. This data is usually scarce and expensive and may not be available to academic research. The only operational spaceborne imaging spectrometer that covers the full spectral range from the visible to the...

Advances in reducing radiometric miscalibration - application for hyperspectral push-broom sensors

Christian Rogass, Christian Mielke, Daniel Scheffler & Nina Boesche
Data takes of hyperspectral imagers are of increasing demand in Earth Observation related applications. As for other remote sensing techniques this requires precise pre-processing comprising of radiometric, spectral and geometric distortion reductions. One of these steps is radiometric scaling to transform recorded digital number to radiance. For this, laboratory assessed mathematical relations between required radiance and recorded digital number (gain) and short-term measurements of dark current variations (offset) during operation are incorporated. Due to changes...

Individual tree and crown identification in the Danube floodplain forests based on airborne laser scanning data

Ivan Sačkov, Tomáš Bucha, Géza Király, Gábor Brolly & Rastislav Raši
In the work, a fully automatic approach for individual tree and crown identification using laser scanning data is presented. The automatic identification was realized in parts of the Danube floodplain forests (47˚52΄N, 17˚32΄E). Poplar and willow plantations are dominant in the area, but there are also reservations with mixed forests of broadleaves. The general principle of workflow was identification of local maxima in the segmented point cloud and, according to specific dendrometric criteria, to decide...

Ocean colour and distribution of suspended particulates in the St. Lawrence Estuary.

Martin Montes-Hugo, Suzanne Roy, Jean Pierre Gagne, Serge Demers, Servet Cizmeli & Sebastien Mas
Distribution of total suspended particulate matter (SPM) in the St Lawrence estuary was investigated based on spaceborne ocean colour measurements. Biogeooptical models were constructed and validated with in situ biogeochemical and optical data obtained during spring of 2000 and 2001. The resulting remote sensing reflectance (Rrs) model was applied to derive SPM maps during spring and fall of two years with different river discharge (i.e., 'low' in 2001, 'high' in 2000). Uncertainty of SPM estimates...

Semi-automated building extraction from airbone laser scanning data on the example of the central campus of Wasaw University of Technology.

Marcin Marjasiewicz
The main idea of this project is to introduce a conception of method of semi-automated building extraction from Airborne Laser Scanning data. The effects will be presented on the example of the Central Campus of Warsaw University of Technology. Airborne LIDAR has become a very popular technique for acquisition of terrain elevation models and lately, also of covering the area. Creating studies based on LIDAR data is more and more universal solution in commercial, marketing,...

The use of GIS tools in the study of ventilation corridors in Warsaw - The example of frontal area index method. The case of Mokotowski Ventilation Corridor

Edyta Bogucka
Scientific Project made by the Students Association of Environmental Development, Planning and Management placed on Faculty of Geodesy and Cartography Warsaw University of Technology is a dissertation concerning the influence of different types of land use on the efficiency of ventilation corridors. This part of project presents an extensive study of urban ventilation using the model of roughness parameter created with frontal area index ratio and GIS tools. The local climate in Warsaw is greatly...

Determination of urban development in Istanbul using the spectral unimixed Landsat images

Cihan Uysala & Derya Maktav
Urbanization has increased in the world since 1950s [21]. In Turkey, urbanization gained momentum after 1980s. Immigration from rural areas to cities due to the limited agriculture economy, and insufficient job and education opportunities played a fundamental role in this increase. This migration was primarily to Istanbul and cities like Ankara, Izmir, Bursa, Adana and Antalya where industrialization and/or tourism is at the forefront. This increase in urbanization causes problems such as uncontrolled growth of...

Development and evaluation of a near real time system for assessing hydrologic response in Chenab river catchment

Muhammad Adnan Shahid, Piero Boccardo, Adriana Albanese & Muhammad Azmat
Investigating the hydrologic response of a catchment to adverse climate changes is crucial for managing land and water resources and mitigating the natural hazards like floods. Limited availability of the in situ data, especially in case of transboundary rivers, fur-ther highlights the need to develop and evaluate decision support systems which may predict the flows in near real time using open source satellite rainfall data. Study was conducted in the Chenab river catchment to develop...

Macrobenthos composition at the shoreline of Kislo-Sladkoye Lake, separating from the White Sea

Semen Buvalyy, Sanzhima Garmaeva, Maria Mardashova, Elena Krasnova & Larisa Menshenina
Kislo-Sladkoye Lake is a unique model reservoir separating from the White Sea, which requires careful comprehensive interdisciplinary study of all characteristics. The lake is a subject of system-atic hydrological and hydrochemical surveys. An integral qualitative study of the macrozoobenthos at the shoreline of the lake has been conducted for the first time. Fourteen invertebrate macrozoo-benthic taxa were found. Mass species distribution boundaries were determined. Such marine an-imals as Mytilus edulis, Semibalanus balanoides, Littorina saxatilis, are...

The applicability of remote sensing and geodetic methods for studying water bodies on the western White Sea coast

Natalia Frolova, Elena Krasnova, Mikhail Fatkhi, Timofey Samsonov, Alexey Sazonov, Anna Telegina & Ekaterina Telegina
The article presents the results of field studies carried out by the Department of Land Hydrology, Faculty of Geography, Lomonosov Moscow State University, in the area near the White Sea Biological Station, Moscow State University (Kandalaksha Bay, White Sea) in January, June, and September 2014 and January 2015. The objects of studies were the unique lakes on the White Sea coast at different stages of their isolation and separation from the sea. Geodetic methods were...

Monitoring post-fire forest recovery using multi-temporal Digital Surface Models generated from different platforms.

Irene Aicardi, Matteo Garbarino, Andrea Lingua, Emanuele Lingua, Raffaella Marzano & Marco Piras
Wildfires can greatly affect forest dynamics. Given the alteration of fire regimes foreseen globally due to climate and land use changes, greater attention should be devoted to prevention and restoration activities. Concerning in particular post-fire restoration actions, it is fundamental, together with a better understanding of ecological processes resulting from the disturbance, to define techniques and protocols for long-term monitoring of burned areas. This paper presents the results of a study conducted within an area...

Integration of remote sensing data into forest inventory in close-to-nature forests: An initial case study in Smolnicka Osada, Slovakia.

Ivan Sackov, Maros Sedliak, Ladislav Kulla & Tomas Bucha
The initial case study concerns the first assessment of possibilities of integrating remote sensing into forest inventory in Slovak close-to-nature forests. Aerial images and airborne laser scanning data were used to estimate forest stand characteristics, such as the number of trees, mean tree height, mean tree diameter, and growing stock. eCognition software for tree species classification and reFLex software for individual tree detection was used. The accuracy of the assessment was conducted in the ProSilva...

CDOM fluorescence of the Laptev Sea and East Siberian Sea surface waters.

Anastasia N. Drozdova, Ivan N. Krylov & Sergey A. Shchuka
This study is focused on CDOM fluorescence of the Laptev Sea and East Siberian Sea surface waters. The preliminary results are based on ten samples collected along three transects from the estuarine regions of Khatanga, Kolyma and Indigirka rivers to the continental slope. Fluorescence spectra were recorded in wide ranges of excitation (230-550 nm) and emission (240-650 nm) wavelengths. Humification and biological/autochthonous indices were calculated in order to determine the degree of maturation of DOM...

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