Kappas, Martin W.

[["dc.bibliographiccitation.artnumber","582159"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Journal of Sensors"],["dc.bibliographiccitation.lastpage","11"],["dc.bibliographiccitation.volume","2012"],["dc.contributor.author","Kappas, Martin W."],["dc.contributor.author","Propastin, Pavel A."],["dc.date.accessioned","2018-11-07T09:16:17Z"],["dc.date.accessioned","2020-05-08T09:43:33Z"],["dc.date.available","2018-11-07T09:16:17Z"],["dc.date.available","2020-05-08T09:43:33Z"],["dc.date.issued","2012"],["dc.description.abstract","Leaf area index (LAI) is a key biophysical variable for environmental process modelling. Remotely sensed data have become the primary source for estimation of LAI at the scales from local to global. A summary of existing LAI data sets and a discussion of their appropriateness for the formerly Soviet Central Asia, especially Kazakhstan, which is known for its huge grassland area (about 2 million km(2)), are valuable for environmental modelling in this region. The paper gives a brief review of existing global LAI products, such as AVHRR LAI, MODIS LAI, and SPOT-VEGETATION LAI, and shows that validation of these products in Kazakhstan as well as in other countries of the formerly Soviet Central Asia has not been carried out yet. Apart from the global LAI products, there are just a few data sets retrieved by remote sensing methods at subregional and regional scales in Kazakhstan. More research activities are needed to focus on the validation of the available global LAI products over the formerly Soviet Central Asia and developing new LAI data sets suitable for application in environmental modelling at different scales in this region."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2011"],["dc.identifier.doi","10.1155/2012/582159"],["dc.identifier.isi","000208865000030"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7593"],["dc.identifier.scopus","2-s2.0-84861049895"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27904"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64966"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84861049895&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1687-7268"],["dc.relation.issn","1687-725X"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Review of Available Products of Leaf Area Index and Their Suitability over the Formerly Soviet Central Asia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["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","8559"],["dc.bibliographiccitation.issue","15"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Pham Thi, Nhung"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Faust, Heiko"],["dc.date.accessioned","2021-09-01T06:43:02Z"],["dc.date.available","2021-09-01T06:43:02Z"],["dc.date.issued","2021"],["dc.description.abstract","Agricultural land acquisition for urbanization (ALAFU) has strongly impacted agriculture in Vietnam during the last decades. Given the mixed data obtained from a survey (with 50 households who lost 50% of their farmland area), in-depth interviews, a group-focused discussion and observation, this study shows the different impacts of ALAFU on each agricultural activity of affected household by comparing before and after ALAFU. Rice cultivation and animal breeding have sharply declined, but potted flower plantation (PFP) has quickly grown and is the main income of 34% of surveyed households. Rice cultivation has declined not only as a result of agricultural land acquisition, which has resulted in the loss of rice land, but also as a result of urbanization, which has resulted in rice land abandonment. Conversely, PFP is growing due to advantages associated with urbanization, such as a good consumer market and upgraded infrastructure. However, whether they are declining or increasing, all agricultural activities have to face challenges related to the shortcomings in agricultural land allocation and agricultural development plans. This study suggests that if ALAFU projects are continued, the government should evaluate agricultural development and forecast farmland abandonment after ALAFU. Simultaneously, they should put more effort into maintaining agriculture in the form of peri-urban or urban agriculture, which is significant for sustainable development in affected communities."],["dc.description.abstract","Agricultural land acquisition for urbanization (ALAFU) has strongly impacted agriculture in Vietnam during the last decades. Given the mixed data obtained from a survey (with 50 households who lost 50% of their farmland area), in-depth interviews, a group-focused discussion and observation, this study shows the different impacts of ALAFU on each agricultural activity of affected household by comparing before and after ALAFU. Rice cultivation and animal breeding have sharply declined, but potted flower plantation (PFP) has quickly grown and is the main income of 34% of surveyed households. Rice cultivation has declined not only as a result of agricultural land acquisition, which has resulted in the loss of rice land, but also as a result of urbanization, which has resulted in rice land abandonment. Conversely, PFP is growing due to advantages associated with urbanization, such as a good consumer market and upgraded infrastructure. However, whether they are declining or increasing, all agricultural activities have to face challenges related to the shortcomings in agricultural land allocation and agricultural development plans. This study suggests that if ALAFU projects are continued, the government should evaluate agricultural development and forecast farmland abandonment after ALAFU. Simultaneously, they should put more effort into maintaining agriculture in the form of peri-urban or urban agriculture, which is significant for sustainable development in affected communities."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/su13158559"],["dc.identifier.pii","su13158559"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89203"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","2071-1050"],["dc.relation.orgunit","Abteilung Kartographie, GIS und Fernerkundung"],["dc.rights","CC BY 4.0"],["dc.title","Impacts of Agricultural Land Acquisition for Urbanization on Agricultural Activities of Affected Households: A Case Study in Huong Thuy Town, Thua Thien Hue Province, Vietnam"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","083001"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Environmental Research Letters"],["dc.bibliographiccitation.volume","12"],["dc.contributor.affiliation","Monier, Erwan;"],["dc.contributor.affiliation","Kicklighter, David W;"],["dc.contributor.affiliation","Sokolov, Andrei P;"],["dc.contributor.affiliation","Zhuang, Qianlai;"],["dc.contributor.affiliation","Sokolik, Irina N;"],["dc.contributor.affiliation","Lawford, Richard;"],["dc.contributor.affiliation","Kappas, Martin;"],["dc.contributor.affiliation","Paltsev, Sergey V;"],["dc.contributor.affiliation","Groisman, Pavel Ya;"],["dc.contributor.author","Monier, Erwan"],["dc.contributor.author","Kicklighter, David W."],["dc.contributor.author","Sokolov, Andrei P."],["dc.contributor.author","Zhuang, Qianlai"],["dc.contributor.author","Sokolik, Irina N."],["dc.contributor.author","Lawford, Richard"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Paltsev, Sergey V."],["dc.contributor.author","Groisman, Paverl Ya"],["dc.date.accessioned","2020-05-08T10:24:44Z"],["dc.date.available","2020-05-08T10:24:44Z"],["dc.date.issued","2017"],["dc.date.updated","2022-02-09T13:19:02Z"],["dc.description.abstract","Northern Eurasia is made up of a complex and diverse set of physical, ecological, climatic and human systems, which provide important ecosystem services including the storage of substantial stocks of carbon in its terrestrial ecosystems. At the same time, the region has experienced dramatic climate change, natural disturbances and changes in land management practices over the past century. For these reasons, Northern Eurasia is both a critical region to understand and a complex system with substantial challenges for the modeling community. This review is designed to highlight the state of past and ongoing efforts of the research community to understand and model these environmental, socioeconomic, and climatic changes. We further aim to provide perspectives on the future direction of global change modeling to improve our understanding of the role of Northern Eurasia in the coupled human–Earth system. Modeling efforts have shown that environmental and socioeconomic changes in Northern Eurasia can have major impacts on biodiversity, ecosystems services, environmental sustainability, and the carbon cycle of the region, and beyond. These impacts have the potential to feedback onto and alter the global Earth system. We find that past and ongoing studies have largely focused on specific components of Earth system dynamics and have not systematically examined their feedbacks to the global Earth system and to society. We identify the crucial role of Earth system models in advancing our understanding of feedbacks within the region and with the global system. We further argue for the need for integrated assessment models (IAMs), a suite of models that couple human activity models to Earth system models, which are key to address many emerging issues that require a representation of the coupled human–Earth system."],["dc.description.sponsorship","Russian Ministry of Education and Science"],["dc.description.sponsorship","National Aeronautics and Space Administration 10.13039/100000104"],["dc.identifier.doi","10.1088/1748-9326/aa7aae"],["dc.identifier.eissn","1748-9326"],["dc.identifier.scopus","2-s2.0-85029187791"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64968"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85029187791&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.publisher","IOP Publishing"],["dc.relation.issn","1748-9326"],["dc.rights.uri","http://creativecommons.org/licenses/by/3.0/"],["dc.title","A review of and perspectives on global change modeling for Northern Eurasia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","579"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Management of Environmental Quality"],["dc.bibliographiccitation.lastpage","596"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Propastin, P. A."],["dc.contributor.author","Kappas, M."],["dc.contributor.author","Muratova, N. R."],["dc.date.accessioned","2019-07-09T11:54:02Z"],["dc.date.accessioned","2020-05-08T08:28:45Z"],["dc.date.available","2019-07-09T11:54:02Z"],["dc.date.available","2020-05-08T08:28:45Z"],["dc.date.issued","2008"],["dc.description.abstract","Purpose – This paper aims to demonstrate the importance of taking into account precipitation and the vegetation response to it when trying to analyse changes of vegetation cover in drylands with high inter-annual rainfall variability. Design/methodology/approach – Linear regression models were used to determine trends in NDVI and precipitation and their interrelations for each pixel. Trends in NDVI that were entirely supported by precipitation trends were considered to impose climate-induced vegetation change. Trends in NDVI that were not explained by trends in precipitation were considered to mark human-induced vegetation change. Modelling results were validated by test of statistical significance and by comparison with the data from higher resolution satellites and fieldtrips to key test sites. Findings – More than 26 percent of all vegetated area in Central Asia experienced significant changes during 1981-2000. Rainfall has been proved to enforce most of these changes (21 percent of the entire vegetated area). The trends in vegetation activity driven by anthropogenic factor are much scarcer and occupy about 5.75 percent of the studied area. Practical implications – Planners, decision makers and other interest groups can use the findings of the study for assessment and monitoring land performance/land degradation over dry regions. Originality/value – The study demonstrates the importance of taking into account precipitation and the vegetation response to it when trying to analyse changes of vegetation cover in drylands with high inter-annual rainfall variability."],["dc.identifier.doi","10.1108/14777830810894256"],["dc.identifier.fs","322956"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8357"],["dc.identifier.scopus","2-s2.0-50849107730"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60555"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64948"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-50849107730&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1477-7835"],["dc.relation.orgunit","Fakultät für Geowissenschaften und Geographie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","A remote sensing based monitoring system for discrimination between climate and human-induced vegetation change in Central Asia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1506"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Atmosphere"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Xue, Lin"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Wyss, Daniel"],["dc.contributor.author","Putzenlechner, Birgitta"],["dc.contributor.editor","Rocha, Alfredo"],["dc.contributor.editor","Rodrigues, Mónica"],["dc.date.accessioned","2022-10-04T10:21:52Z"],["dc.date.available","2022-10-04T10:21:52Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-11T13:13:14Z"],["dc.description.abstract","Long-term drought variation provides a scientific foundation for water resource planning and drought mitigation. However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. Our findings highlight the need for the government to more explicitly develop drought mitigation strategies in accordance with NEC’s spatiotemporal drought variations and specifically the need to concentrate on droughts in M-semiarid regions occurring in summer, particularly in May and June."],["dc.identifier.doi","10.3390/atmos13091506"],["dc.identifier.pii","atmos13091506"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114522"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-4433"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Groß, Uwe"],["dc.contributor.author","Kelleher, Dermot"],["dc.contributor.editor","Kappas, Martin W."],["dc.contributor.editor","Groß, Uwe"],["dc.contributor.editor","Kelleher, Dermot"],["dc.date.accessioned","2018-05-03T10:42:42Z"],["dc.date.available","2018-05-03T10:42:42Z"],["dc.date.issued","2012"],["dc.description.abstract","Human, animal and plant health is a field of work which offers opportunities for inter- and trans-disciplinary research. The whole topic bridges the natural and social sciences. Today, in a world of global environmental change it is widely recognized that human societies and their wellbeing depend on a sustainable equilibrium of ecosystem services and the possibility of cultural adaptation to global environmental change. The need to identify and quantify health risks related to global environmental change is now one of the most important challenges of humankind. Describing spatial (geographic, intra/inter-population) and temporal differences in health risks is an urgent task to understand societies’ vulnerabilities and priorities for interventions better. The Göttingen International Health Network (GIHN) is a research and teaching network in relation to this cross-cutting topic. The book provides a collection of articles which contribute to this issue of overriding importance and presents an overview of the GIHN launch event."],["dc.format.extent","400"],["dc.identifier.doi","10.17875/gup2012-387"],["dc.identifier.isbn","978-3-86395-047-7"],["dc.identifier.ppn","731806492"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8961"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13949"],["dc.identifier.urn","urn:nbn:de:gbv:7-isbn-978-3-86395-047-7-3"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.notes.status","zu prüfen"],["dc.publisher","Universitätsverlag Göttingen"],["dc.publisher.place","Göttingen"],["dc.rights","CC BY-ND 3.0"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://creativecommons.org/licenses/by-nd/3.0"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject","Health; Global Environmental Change; Health Risks; GIHN Goettingen International Health Network"],["dc.subject.ddc","610"],["dc.title","Global health"],["dc.title.subtitle","a challenge for interdisciplinary research"],["dc.type","book_editor"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","46"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Hydrology (Basel)"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Tumenjargal, Sukh"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Batbuyan, Batjav"],["dc.contributor.author","Fassnacht, Steven R."],["dc.contributor.author","Allegretti, Arren Mendezona"],["dc.contributor.author","Venable, Niah B. H."],["dc.contributor.author","Fernández-Giménez, María E."],["dc.contributor.author","Laituri, Melinda J."],["dc.contributor.author","Pfohl, Anna K. D."],["dc.date.accessioned","2020-05-11T13:56:40Z"],["dc.date.available","2020-05-11T13:56:40Z"],["dc.date.issued","2018"],["dc.description.abstract","Across the globe, station-based meteorological data are analyzed to estimate the rate of change in precipitation. However, in sparsely populated regions, like Mongolia, stations are few and far between, leaving significant gaps in station-derived precipitation patterns across space and over time. We combined station data with the observations of herders, who live on the land and observe nature and its changes across the landscape. Station-based trends were computed with the Mann–Kendall significance and Theil–Sen rate of change tests. We surveyed herders about their observations of changes in rain and snowfall amounts, rain intensity, and days with snow, using a closed-ended questionnaire and also recorded their qualitative observations. Herder responses were summarized using the Potential for Conflict Index (PCI2), which computes the mean herder responses and their consensus. For one set of stations in the same forest steppe ecosystem, precipitation trends were similar and decreasing, and the herder-based PCI2 consensus score matched differences between stations. For the other station set, trends were less consistent and the PCI2 consensus did not match well, since the stations had different climates and ecologies. Herder and station-based uncertainties were more consistent for the snow variables than the rain variables. The combination of both data sources produced a robust estimate of climate change uncertainty."],["dc.description.sponsorship","National Science Foundation"],["dc.description.sponsorship","World Bank Group"],["dc.identifier.doi","10.3390/hydrology5030046"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65064"],["dc.language.iso","en"],["dc.notes.intern","DeepGreen Import"],["dc.publisher","MDPI"],["dc.relation.eissn","2306-5338"],["dc.relation.issn","2306-5338"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Merging Indigenous Knowledge Systems and Station Observations to Estimate the Uncertainty of Precipitation Change in Central Mongolia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","159"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.lastpage","183"],["dc.bibliographiccitation.volume","1"],["dc.contributor.author","Propastin, Pavel A."],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T11:25:29Z"],["dc.date.accessioned","2020-05-08T08:40:17Z"],["dc.date.available","2018-11-07T11:25:29Z"],["dc.date.available","2020-05-08T08:40:17Z"],["dc.date.issued","2009"],["dc.description.abstract","Carbon sequestration was estimated in a semi-arid grassland region in Central Kazakhstan using an approach that integrates remote sensing, field measurements and meteorological data. Carbon fluxes for each pixel of 1 x 1 km were calculated as a product of photosynthetically active radiation (PAR) and its fraction absorbed by vegetation (fPAR), the light use efficiency (LUE) and ecosystem respiration (R-e). The PAR is obtained from a mathematical model incorporating Earth-Sun distance, solar inclination, solar elevation angle, geographical position and cloudiness information of localities. The fPAR was measured in field using hemispherical photography and was extrapolated to each pixel by combination with the Normalized Difference Vegetation Index (NDVI) obtained by the Vegetation instrument on board the Satellite Pour l'Observation de la Terra (SPOT) satellite. Gross Primary Production (GPP) of the aboveground and belowground vegetation of 14 sites along a 230 km west-east transect within the study region were determined at the peak of growing season in different land cover types and linearly related to the amount of PAR absorbed by vegetation (APAR). The product of this relationship is LUE = 0.61 and 0.97 g C/MJ APAR for short grassland and steppe, respectively. The R-e is estimated using complex models driven by climatic data. Growing season carbon sequestration was calculated for the modelling year of 2004. Overall, the short grassland was a net carbon sink, whereas the steppe was carbon neutral. The evaluation of the modelled carbon sequestration against independent reference data sets proved high accuracy of the estimations."],["dc.identifier.doi","10.3390/rs1030159"],["dc.identifier.isi","000208400500003"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8263"],["dc.identifier.scopus","2-s2.0-79952038615"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/56630"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64956"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-79952038615&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","2072-4292"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","220"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.lastpage","246"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Propastin, Pavel A."],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2018-11-07T09:15:01Z"],["dc.date.accessioned","2020-05-11T09:20:50Z"],["dc.date.available","2018-11-07T09:15:01Z"],["dc.date.available","2020-05-11T09:20:50Z"],["dc.date.issued","2012"],["dc.description.abstract","A new multi-decade national-wide coarse-resolution data set of leaf area index (LAI) over the Republic of Kazakhstan has been developed based on data from the Advanced Very High Resolution Radiometer (AVHRR) and in situ measurements of vegetation structure. The Kazakhstan-wide LAI product has been retrieved using an algorithm based on a physical radiative transfer model establishing a relationship between LAI and given patterns of surface reflectance, view-illumination conditions and optical properties of vegetation at the per-pixel scale. The results revealed high consistencies between the produced AVHRR LAI data set and ground truth information and the 30-m resolution Landsat ETM+ LAI estimated using the similar algorithm. Differences in LAI between the AVHRR-based product and the Landsat ETM+-based product are lower than 0.4 LAI units in terms of RMSE. The produced Kazakhstan-wide LAI was also compared with the global 8-km AVHRR LAI (LAI_PAL_BU_V3) and 1-km MODIS LAI (MOD15A2 LAI) products. Results show remarkable consistency of the spatial distribution and temporal dynamics between the new LAI product and both examined global LAI products. However, the results also revealed several discrepancies in LAI estimates when comparing the global and the Kazakhstan-wide products. The discrepancies in LAI estimates were outlined and discussed."],["dc.identifier.doi","10.3390/rs4010220"],["dc.identifier.isi","000306755900012"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8252"],["dc.identifier.scopus","2-s2.0-84857933030"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64981"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27571"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84857933030&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","2072-4292"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]