Kappas, Martin W.

[["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-11T09:49:46Z"],["dc.date.available","2020-05-11T09:49:46Z"],["dc.date.issued","1994"],["dc.format.extent","207"],["dc.identifier.isbn","3-427-78711-7"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65002"],["dc.language.iso","de"],["dc.publisher","Dümmler"],["dc.publisher.place","Bonn"],["dc.title","Fernerkundung nah gebracht. Leitfaden für Geowissenschaftler"],["dc.type","book"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","683"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Frontiers in Earth Science"],["dc.bibliographiccitation.lastpage","692"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Fassnacht, S. R."],["dc.contributor.author","Brown, K. S. J."],["dc.contributor.author","Blumberg, E. J."],["dc.contributor.author","López Moreno, J. I."],["dc.contributor.author","Covino, T. P."],["dc.contributor.author","Kappas, M."],["dc.contributor.author","Huang, Y."],["dc.contributor.author","Leone, V."],["dc.contributor.author","Kashipazha, A. H."],["dc.date.accessioned","2020-05-11T13:57:19Z"],["dc.date.available","2020-05-11T13:57:19Z"],["dc.date.issued","2018"],["dc.description.abstract","Abstract Snow depth is the easiest snowpack property to measure in the field and is used to estimate the distribution of snow for quantifying snow storage. Often the mean of three snow depth measurements is used to represent snow depth at a location. This location is used as a proxy for an area, typically a digital elevation model (DEM) or remotely sensed pixel. Here, 11, 17, or 21 snow depth measurements were used to represent the mean snow depth of a 30-m DEM pixel. Using the center snow depth measurement for each sampling set was not adequate to represent the pixel mean, and while the use of three snow depth measurements improved the estimate of mean, there is still large error for some pixels. These measurements were then used to determine the variability of snow depth across a pixel. Estimating variability from few points rather than all in a measurement was not sufficient. The sampling size was increased from one to the total per pixel (11, 17, or 21) to determine how many point samples were necessary to approximate the mean snow depth per pixel within five percent. Binary regression trees were constructed to determine which terrain and canopy variables dictated the spatial distribution of the snow depth, the standard deviation of snow depth, and the sample size to within 5% of the mean per pixel. One location was measured in two years just prior to peak accumulation, and it is shown that there was little to no inter-annual consistency in the mean or standard deviation."],["dc.identifier.doi","10.1007/s11707-018-0714-z"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65066"],["dc.language.iso","en"],["dc.relation.eissn","2095-0209"],["dc.relation.issn","2095-0195"],["dc.title","Distribution of snow depth variability"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["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.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.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","854"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Hydrology Research"],["dc.bibliographiccitation.lastpage","870"],["dc.bibliographiccitation.volume","46"],["dc.contributor.author","Emam, Ammar Rafiei"],["dc.contributor.author","Kappas, Martin"],["dc.contributor.author","Hosseini, Seyed Zeynalabedin"],["dc.date.accessioned","2018-11-07T10:02:33Z"],["dc.date.accessioned","2020-05-11T09:21:19Z"],["dc.date.available","2018-11-07T10:02:33Z"],["dc.date.available","2020-05-11T09:21:19Z"],["dc.date.issued","2015"],["dc.description.abstract","The semi-arid regions of Iran have experienced severe water resources stress due to natural (e.g., drought) and anthropogenic (e.g., depletion of water in various sectors) factors. Assessing the impact of climate change on water resources and crop production could significantly help toward better water management and hence prevention of land degradation in this area. A hydrological model of the Razan-Ghahavand basin was used as a representative case study of a semi-arid region of Iran. Future climate scenarios in the mid-21st century were generated from four global circulation models (GCMs) with three scenarios under the fourth assessment report of Intergovernmental Panel on Climate Change emission projections. The GCMs have been downscaled based on observed data at 10 climate stations across the basin. The results showed that for the basin as a whole, the mean annual precipitation is likely to decrease while the maximum temperature increases. The changes in these two climate variables resulted in substantial reduction in groundwater recharge as the main source of water supply in this area. Furthermore, soil water content was decreased which resulted in the reduction of crop yield in rain-fed areas. Indeed, the risk of drought in the south and flooding in the north was high."],["dc.identifier.doi","10.2166/nh.2015.143"],["dc.identifier.isi","000368317600002"],["dc.identifier.scopus","2-s2.0-84956988827"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38251"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84956988827&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","2224-7955"],["dc.relation.issn","0029-1277"],["dc.title","Assessing the impact of climate change on water resources, crop production and land degradation in a semi-arid river basin"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["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.issue","9"],["dc.bibliographiccitation.journal","Geographische Rundschau"],["dc.bibliographiccitation.volume","51"],["dc.contributor.author","Kappas, Martin"],["dc.date.accessioned","2020-05-08T06:40:23Z"],["dc.date.available","2020-05-08T06:40:23Z"],["dc.date.issued","1999"],["dc.identifier.scopus","2-s2.0-0032751818"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/64943"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-0032751818&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.title","Climate and ecology of a tropical mountain area in the Dominican Republic "],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["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"]]