Erasmi, Stefan

[["dc.bibliographiccitation.firstpage","138"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Basic and Applied Dryland Research"],["dc.bibliographiccitation.lastpage","154"],["dc.bibliographiccitation.volume","1"],["dc.contributor.author","Propastin, Pavel"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Muratova, Nadia R."],["dc.date.accessioned","2020-05-12T08:32:47Z"],["dc.date.available","2020-05-12T08:32:47Z"],["dc.date.issued","2007"],["dc.description.abstract","We combined Normalized Difference Vegetation Index (NDVI) datasets derived from the Advanced Very High Resolution Radiometer (AVHRR) and climate records to analyse within-season temporal relationships between vegetation activity and two eco-climatic parameters (precipitation and temperature) in an arid region of Central Kazakhstan. Assessments of these relationships were performed by calculating correlation coefficients between 10-day values of NDVI and the both climatic parameters throughout the growing season (April-October). The correlations were calculated for every pixel as well as for the aggregated datasets representing different land cover types and the entire study area. The results indicate that strong significant positive correlations exist between NDVI and each of the explanatory climatic parameters at all spatial scales. Temperature was considered to be the leading climatic factor controlling intra-annual NDVI dynamics. The correlation coefficients between NDVI-rainfall and NDVI-temperature exhibit a clear structure in terms of spatial distribution. The results indicate that the response of vegetation to climatic factors increases in order from shrubs and desert vegetation to semi-desert, short grassland and to steppe vegetation."],["dc.description.abstract","Die Arbeit untersucht zeitliche Zusammenhänge zwischen Vegetationsdynamik und Dynamik von Klimaelementen (Temperatur und Niederschlag) in einem Trockengebiet des Zentral-Kasachstans. Die Datengrundlagen der Arbeit umfassten den Normalized Difference Vegetation Index (NDVI) von dem Advanced Very High Resolution Radiometer (AVHRR) sowie Messwerten der Klimastationen für Niederschlag und Temperatur. Die Schätzung der Stärke des Zusammenhanges erfolgte durch Berechnung des Koeffizienten der Korrelation und Kreuzkorrelation zwischen den Zeitreihen der Dekadenwerte der NDVI und der beiden Klimaelemente während der Pflanzenwachstumsperiode. Die statistischen Zusammenhänge wurden auf verschiedenen Skalen räumlicher Generalisierung betrachtet: von dem gesamten Gebiet bis zu einzelnem Pixel. Die Ergebnisse beweisen, dass auf allen Betrachtungsskalen strenge Interrelationen zwischen der Dynamik des NDVI auf einer Seite und den beiden Klimaelementen auf der anderen Seite bestehen. Temperatur erwies sich als der Hauptfaktor für die Kontrolle der Vegetationsdynamik durch das Klima. Die räumliche Verbreitung der Werte des Korrelationskoeffizienten zeigte ein deutliches Muster. Dieses Muster spiegelt die Unterschiede zwischen einzelnen Vegetationstypen in bezug auf ihre Reaktionskraft und Reaktionsgeschwindigkeit zu der Einwirkung der Klimaelemente wider."],["dc.identifier.doi","10.1127/badr/1/2007/138"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65138"],["dc.language.iso","en"],["dc.relation.issn","1864-3191"],["dc.title","Remote sensing based study on intra-annual dynamics of vegetation and climate in drylands of Kazakhastan"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Bioagro"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Andrade, O."],["dc.contributor.author","Briceño, J."],["dc.contributor.author","Unda, J."],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-11T09:22:25Z"],["dc.date.accessioned","2020-05-11T13:22:49Z"],["dc.date.available","2020-05-11T09:22:25Z"],["dc.date.available","2020-05-11T13:22:49Z"],["dc.date.issued","2010"],["dc.identifier.scopus","2-s2.0-79953289769"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64993"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-79953289769&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.title","Generating and mapping of environmental parameters to make land evaluations in Torres Municipality, Lara State, Venezuela,Generación y mapeo de parámetros ambientales con fines de evaluación de tierras en el Municipio Torres, Estado Lara, Venezuela"],["dc.title.alternative","Generación y mapeo de parámetros ambientales con fines de evaluación de tierras en el Municipio Torres, Estado Lara, Venezuela"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4429"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Sensors"],["dc.bibliographiccitation.lastpage","4440"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Boloorani, Ali Darvishi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T11:13:49Z"],["dc.date.accessioned","2020-05-08T08:28:35Z"],["dc.date.accessioned","2020-05-11T13:17:32Z"],["dc.date.available","2018-11-07T11:13:49Z"],["dc.date.available","2020-05-08T08:28:35Z"],["dc.date.available","2020-05-11T13:17:32Z"],["dc.date.issued","2008"],["dc.description.abstract","In this work a new gap-fill technique entitled projection transformation has been developed and used for filling missed parts of remotely sensed imagery. In general techniques for filling missed area of an image are broken down into three main categories: multi-source techniques that take the advantages of other data sources (e.g. using cloud free images to reconstruct the cloudy areas of other images); the second ones fabricate the gap areas using non-gapped parts of an image itself, this group of techniques are referred to as single-source gap-fill procedures; and third group contains methods that make up a combination of both mentioned techniques, therefore they are called hybrid gap-fill procedures. Here a new developed multi-source methodology called projection transformation for filling a simulated gapped area in the Landsat7/ETM+ imagery is introduced. The auxiliary imagery to filling the gaps is an earlier obtained L7/ETM+ imagery. Ability of the technique was evaluated from three points of view: statistical accuracy measuring, visual comparison, and post classification accuracy assessment. These evaluation indicators are compared to the results obtained from a commonly used technique by the USGS as Local Linear Histogram Matching (LLHM) [1]. Results show the superiority of our technique over LLHM in almost all aspects of accuracy."],["dc.identifier.doi","10.3390/s8074429"],["dc.identifier.isi","000258180500025"],["dc.identifier.pmid","27879945"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8776"],["dc.identifier.scopus","2-s2.0-48749126097"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65020"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-48749126097&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1424-8220"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0/"],["dc.title","Multi-Source Remotely Sensed Data Combination: Projection Transformation Gap-Fill Procedure"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4973"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.lastpage","4978"],["dc.bibliographiccitation.volume","104"],["dc.contributor.author","Steffan-Dewenter, Ingolf"],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Barkmann, Jan"],["dc.contributor.author","Bos, Merijn M."],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Faust, Heiko"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.author","Glenk, Klaus"],["dc.contributor.author","Gradstein, S. Robbert"],["dc.contributor.author","Guhardja, Edi"],["dc.contributor.author","Harteveld, Marieke"],["dc.contributor.author","Hertel, Dietrich"],["dc.contributor.author","Höhn, Patrick"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Köhler, Stefan"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Maertens, Miet"],["dc.contributor.author","Marggraf, Rainer"],["dc.contributor.author","Migge-Kleian, Sonja"],["dc.contributor.author","Mogea, Johanis"],["dc.contributor.author","Pitopang, Ramadhanil"],["dc.contributor.author","Schaefer, Matthias"],["dc.contributor.author","Schwarze, Stefan"],["dc.contributor.author","Sporn, Simone G."],["dc.contributor.author","Steingrebe, Andrea"],["dc.contributor.author","Tjitrosoedirdjo, Sri Sudarmiyati"],["dc.contributor.author","Tjitrosoemito, Soekisman"],["dc.contributor.author","Twele, André"],["dc.contributor.author","Weber, Robert"],["dc.contributor.author","Woltmann, Lars"],["dc.contributor.author","Zeller, Manfred"],["dc.contributor.author","Tscharntke, Teja"],["dc.date.accessioned","2017-09-07T11:44:51Z"],["dc.date.accessioned","2020-05-11T13:28:11Z"],["dc.date.available","2017-09-07T11:44:51Z"],["dc.date.available","2020-05-11T13:28:11Z"],["dc.date.issued","2007"],["dc.description.abstract","Losses of biodiversity and ecosystem functioning due to rainforest destruction and agricultural intensification are prime concerns for science and society alike. Potentially, ecosystems show nonlinear responses to land-use intensification that would open management options with limited ecological losses but satisfying economic gains. However, multidisciplinary studies to quantify ecological losses and socioeconomic tradeoffs under different management options are rare. Here, we evaluate opposing land use strategies in cacao agroforestry in Sulawesi, Indonesia, by using data on species richness of nine plant and animal taxa, six related ecosystem functions, and on socioeconomic drivers of agroforestry expansion. Expansion of cacao cultivation by 230% in the last two decades was triggered not only by economic market mechanisms, but also by rarely considered cultural factors. Transformation from near-primary forest to agroforestry had little effect on overall species richness, but reduced plant biomass and carbon storage by ≈75% and species richness of forest-using species by ≈60%. In contrast, increased land use intensity in cacao agroforestry, coupled with a reduction in shade tree cover from 80% to 40%, caused only minor quantitative changes in biodiversity and maintained high levels of ecosystem functioning while doubling farmers' net income. However, unshaded systems further increased income by ≈40%, implying that current economic incentives and cultural preferences for new intensification practices put shaded systems at risk. We conclude that low-shade agroforestry provides the best available compromise between economic forces and ecological needs. Certification schemes for shade-grown crops may provide a market-based mechanism to slow down current intensification trends."],["dc.identifier.doi","10.1073/pnas.0608409104"],["dc.identifier.gro","3148984"],["dc.identifier.scopus","2-s2.0-34247633507"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5623"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-34247633507&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Faust Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.title","Tradeoffs between income, biodiversity, and ecosystem functioning during tropical rainforest conversion and agroforestry intensification"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","348"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Interciencia"],["dc.bibliographiccitation.lastpage","356"],["dc.bibliographiccitation.volume","35"],["dc.contributor.author","Andrade, Onelia"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Erasmi, Stefan"],["dc.date.accessioned","2018-11-07T08:43:34Z"],["dc.date.accessioned","2020-05-08T08:40:33Z"],["dc.date.accessioned","2020-05-11T13:22:58Z"],["dc.date.available","2018-11-07T08:43:34Z"],["dc.date.available","2020-05-08T08:40:33Z"],["dc.date.available","2020-05-11T13:22:58Z"],["dc.date.issued","2010"],["dc.description.abstract","The Revised Universal Soil Loss Equation (RUSLE) model was used to predict soil erosion hazard in the Torres municipality, Lama. Venezuela Rainfall-runoff erosivity (R) values Indicated low erosion potential The soils have moderately low to high erodability (K), It being larger in the agricultural zone. The values of the LS factor are relatively low, since the study area is mainly morphologically flat Cell-by-cell multiplication of the maps of R, K and LS factors resulted in a map of potential erosion A similar procedure, adding the factors crop and management (C), and conservation practices (P) was used to estimate actual erosion The smallest actual erosion values of soil losses were registered in forest zones and where agricultural practices are carried out. Actual eronon had a range of 0-2558t ha(-1) per year, but more than 72% of the area is under very low water erosion hazard, and is highly suitable to rain led agriculture Areas susceptible of erosion with a sod loss >12t.ha(-1) per year are found primarily in the higher basin, or where there is sparse cover The percentage of high sustainability for agricultural purpose amounted to 100% in the agricultural area. In accordance, the zone can be used continuously with annual mechanized cultivations without conservation practices The results support that the RUSLE under GIS environment, coupled with digital elevation model (DEM) data and remote sensing, are powerful tools for both qualitative and quantitative assessment of soil erosion in a hydrographical basin."],["dc.identifier.isi","000277677900005"],["dc.identifier.scopus","2-s2.0-79960525509"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65042"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/20001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64958"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-79960525509&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0378-1844"],["dc.title","Assessment of erosion hazard in Torres municipality of Laras tate (Venezuela) based on GIS"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","681219"],["dc.bibliographiccitation.volume","6812"],["dc.contributor.author","Boloorani, Ali Darvishi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.editor","Astola, Jaakko T."],["dc.contributor.editor","Egiazarian, Karen O."],["dc.contributor.editor","Dougherty, Edward R."],["dc.date.accessioned","2020-05-11T09:21:44Z"],["dc.date.accessioned","2020-05-11T13:20:30Z"],["dc.date.available","2020-05-11T09:21:44Z"],["dc.date.available","2020-05-11T13:20:30Z"],["dc.date.issued","2008"],["dc.description.abstract","The Landsat-7 Enhanced Thematic Mapper Plus (ETM+) is the sensor payload on the Landsat-7 satellite imager (launched on April 15th, 1999) that is a derivative of the Landsat-4 and 5 Thematic Mapper (TM) land imager sensors. Scan Line Corrector (SLC) malfunctioning appeared onboard on May 31, 2003. The SLC-Off problem was caused by failure of the SLC which compensates for the forward motion of the satellite [1]. As ETM+ is still capable of acquiring images with the SLC-Off mode, the need of applying new techniques and using other data sources to reconstruct the missed data is a challenging for scientists and final users of remotely sensed images. One of the predicted future roles of the Advanced Land Imager (ALI) onboard the Earth Observer One (EO-1) is its ability to offer a potential technological direction for Landsat data continuity missions [2]. In this regard more than the purposes of the work as fabricating the gapped area in the ETM+ the attempt to evaluate the ALI imagery ability is another noticeable point in this work. In the literature there are several techniques and algorithms for gap filling. For instance local linear histogram matching [3], ordinary kriging, and standardized ordinary cokriging [4]. Here we used the Regression Based Data Combination (RBDC) in which it is generally supposed that two data sets (i.e. Landsat/ETM+ and EO-1/ALI) in the same spectral ranges (for instance band 3 ETM+ and band 4 ALI in 0.63 - 0.69 μm) will have meaningful and useable statistical characteristics. Using this relationship the gap area in ETM+ can be filled using EO-1/ALI data. Therefore the process is based on the knowledge of statistical structures of the images which is used to reconstruct the gapped areas. This paper presents and compares four regression based techniques. First two ordinary methods with no improvement in the statistical parameters were undertaken as Scene Based (SB) and Cluster Based (CB) followed by two statistically developed algorithms including Buffer Based (BB) and Weighted Buffer Based (WBB) techniques. All techniques are executed and evaluated over a study area in Sulawesi, Indonesia. The results indicate that the WBB and CB approaches have superiority over the SB and BB methods."],["dc.identifier.doi","10.1117/12.766866"],["dc.identifier.scopus","2-s2.0-43249105541"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64988"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65032"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-43249105541&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.relation.conference","Electronic Imaging"],["dc.relation.eventend","2008-01-29"],["dc.relation.eventlocation","San Jose, California, United States"],["dc.relation.eventstart","2008-01-28"],["dc.relation.ispartof","Image Processing: Algorithms and Systems"],["dc.title","Multi source image reconstruction: Exploitation of EO-1/ALI in Landsat-7/ETM+ SLC-off gap filling"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","6612"],["dc.bibliographiccitation.issue","24"],["dc.bibliographiccitation.journal","Journal of Climate"],["dc.bibliographiccitation.lastpage","6623"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Propastin, Pavel A."],["dc.contributor.author","Kappas, Martin W."],["dc.contributor.author","Panferov, Oleg I."],["dc.date.accessioned","2018-11-07T11:21:33Z"],["dc.date.accessioned","2020-05-08T08:40:09Z"],["dc.date.available","2018-11-07T11:21:33Z"],["dc.date.available","2020-05-08T08:40:09Z"],["dc.date.issued","2009"],["dc.description.abstract","The present study is based on the assumption that vegetation in Indonesia is significantly affected by climate anomalies that are related to El Nino-Southern Oscillation (ENSO) warm phases (El Nino) during the past decades. The analysis builds upon a monthly time series from the normalized difference vegetation index (NDVI) gridded data from the Advanced Very High Resolution Radiometer (AVHRR) and two ENSO proxies, namely, sea surface temperature anomalies (SSTa) and Southern Oscillation index (SOI), and aims at the analysis of the spatially explicit dimension of ENSO impact on vegetation on the Indonesian archipelago. A time series correlation analysis between NDVI anomalies and ENSO proxies for the most recent ENSO warm events (1982-2006) showed that, in general, anomalies in vegetation productivity over Indonesia can be related to an anomalous increase of SST in the eastern equatorial Pacific and to decreases in SOI, respectively. The net effect of these variations is a significant decrease in NDVI values throughout the affected areas during the ENSO warm phases. The 1982/83 ENSO warm episode was rather short but-in terms of ENSO indices-the most extreme one within the study period. The 1997/98 El Nino lasted longer but was weaker. Both events had significant impact on vegetation in terms of negative NDVI anomalies. Compared to these two major warm events, the other investigated events (1987/88, 1991/92, 1994/95, and 2002/03) had no significant effect on vegetation in the investigated region. The land cover-type specific sensitivity of vegetation to ENSO anomalies revealed thresholds of vegetation response to ENSO warm events. The results for the 1997/98 ENSO warm event confirm the hypothesis that the vulnerability of vegetated tropical land surfaces to drought conditions is considerably affected by land use intensity. In particular, it could be shown that natural forest areas are more resistant to drought stress than degraded forest areas or cropland. Comparing the spatially explicit patterns of El Nino-related vegetation variation during the major El Nino phases, the spatial distribution of affected areas reveals distinct core regions of ENSO drought impact on vegetation for Indonesia that coincide with forest conversion and agricultural intensification hot spots."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft (DFG) [SFB-552]"],["dc.identifier.doi","10.1175/2009JCLI2460.1"],["dc.identifier.isi","000273359000007"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/5931"],["dc.identifier.scopus","2-s2.0-77649334436"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/55798"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-77649334436&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1520-0442"],["dc.relation.issn","0894-8755"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Spatial patterns of NDVI variation over Indonesia and their relationship to ENSO warm events during the period 1982-2006"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","229"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","GIScience & Remote Sensing"],["dc.bibliographiccitation.lastpage","248"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Twele, André"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-11T13:29:57Z"],["dc.date.available","2020-05-11T13:29:57Z"],["dc.date.issued","2008"],["dc.description.abstract","This study evaluated the utility of narrowband (EO-1 Hyperion) and broadband (Landsat ETM+) remote sensing data for the estimation of leaf area index (LAI) in a tropical environment in Sulawesi, Indonesia. LAI was inferred from canopy gap fraction measurements taken in natural tropical forest and cocoa plantations. Single and multiple spectral bands and spectral indices were used as predictor variables in reduced major axis (RMA) and ordinary least squares (OLS) regression models. The predictive power of most regression models was notably higher when employing narrowband data instead of broadband data. Highly significant relationships between LAI and spectral reflectance were observed near the red-edge region and in most shortwave infrared (SWIR) bands. In contrast to most near-infrared (NIR) narrow bands, the correlation between SWIR reflectance and LAI was not confounded when including both vegetation types and did not suffer from saturation. The results demonstrate that leaf area index of a challenging tropical environment can be estimated with satisfactory accuracy from hyperspectral remote sensing data."],["dc.identifier.doi","10.2747/1548-1603.45.2.229"],["dc.identifier.isi","000255472300006"],["dc.identifier.scopus","2-s2.0-44649106964"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65059"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-44649106964&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1943-7226"],["dc.relation.issn","1548-1603"],["dc.title","Spatially Explicit Estimation of Leaf Area Index Using EO-1 Hyperion and Landsat ETM+ Data: Implications of Spectral Bandwidth and Shortwave Infrared Data on Prediction Accuracy in a Tropical Montane Environment"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","435"],["dc.bibliographiccitation.lastpage","460"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Twele, Andre"],["dc.contributor.author","Ardiansyah, Muhammad"],["dc.contributor.editor","Tscharntke, T."],["dc.contributor.editor","Leuschner, Christoph H."],["dc.contributor.editor","Zeller, Manfred"],["dc.contributor.editor","Guhardja, E."],["dc.contributor.editor","Bidin, A."],["dc.date.accessioned","2020-05-11T09:48:48Z"],["dc.date.accessioned","2020-05-11T13:28:40Z"],["dc.date.available","2020-05-11T09:48:48Z"],["dc.date.available","2020-05-11T13:28:40Z"],["dc.date.issued","2007"],["dc.description.abstract","A great number of studies have been dealing with land-cover mapping of tropical regions using earth remote sensing technology recently. This is partly due to a growing number of operational sensor systems for both scientific and commercial use and also because of an increasing demand for land-cover information relevant to global environmental issues and international policy instruments (e.g. the Kyoto protocol). Within this context, the present article discusses the state of the art of data processing and analysis for the assessment of broad scale land-cover and land-cover change in tropical regions. Current global scale land-cover maps are compared with regional satellite mapping products (Landsat/ETM+) for a test region in the humid tropics of Central Sulawesi, Indonesia. The paper suggests the land cover classification system (LCCS) to be used as the conceptual basis for future land-cover analysis in Sulawesi because it delivers a consistent and comparable scale-independent class structure for satellite image-based land-cover mapping and monitoring. The results of the comparative analysis of land-cover and land-cover change document the inhomogeneity, inconsistency and hence high uncertainty of existing estimates. The outcome of the harmonized and generalized land-cover products for two base years (1992 and 2000) indicates considerable disagreements in area estimates and spatial distributions of land-cover classes for a single date that in some cases exceed the detectable changes between years. Future work aiming at a long-scale operational land-cover mapping of tropical environments has to account for (a) a further harmonization of existing and planned land-cover definitions and products, (b) the regional validation of products and (c) the implementation of a multi-level standardized technical and conceptual classification workflow for ecosystem mapping and monitoring in tropical regions."],["dc.identifier.doi","10.1007/978-3-540-30290-2_21"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64998"],["dc.language.iso","en"],["dc.publisher","Springer"],["dc.relation.isbn","978-3-540-30289-6"],["dc.relation.ispartof","Stability of Tropical Rainforest Margins. Environmental Science and Engineering (Environmental Science)"],["dc.title","From global to regional scale: Remote sensing-based concepts and methods for mapping land-cover and land-cover change in tropical regions"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","265"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Photogrammetrie - Fernerkundung - Geoinformation"],["dc.bibliographiccitation.lastpage","275"],["dc.contributor.author","Mewes, Thorsten"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Kappas, Martin W."],["dc.contributor.author","Biewer, Sonja"],["dc.contributor.author","Fricke, Thomas"],["dc.contributor.author","Wachendorf, Michael"],["dc.date.accessioned","2018-11-07T11:20:35Z"],["dc.date.available","2018-11-07T11:20:35Z"],["dc.date.issued","2008"],["dc.description.abstract","This paper focuses on the detection of individual fractions of legume and grass species based on Spectral Mixture Analysis of remotely sensed. non-imaging data. In 005 one glasshouse-experiment and one field-experiment were built up and continuous measurements and samples were taken for subsequent comparison. Marked crop-plots were spectrally recorded with the fieldspectrometer ASD Fieldspec (c) Pro JR and subsequently harvested for laboratory analysis. In the first step the reflection signatures were smoothed by the adaptive Savitzky-Golay-Filter and evaluated for inaccurate data by means of descriptive statistics. After reduction to relevant wavelength-ranges the spectra were unmixed to their pure components (endmembers). One of the basic steps here is the selection of accurate endmembers. The endmembers have to represent one fraction in an appropriate manner. The results show the possibilities and limits of the method with fieldspectrometrical data with focus on their usage for site specific forage production. Good relations could be found for the data of the glasshouse-experiment, whereas the data from the field-experiment show deficiencies, mainly due to high weed rates and a more complex stand structure."],["dc.identifier.isi","000261058700003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/55569"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1432-8364"],["dc.title","Spectral Mixture Analysis (SMA) of reflectance curves from Legume-Grass-Plots for the analysis of species composition in forage production."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]