{"title":"Supporting Management of Refugee Streams by Earth Observation and Geoinformation","authors":"K. Komp, Andreas Mterthies","doi":"10.1127/PFG/2016/0308","DOIUrl":"https://doi.org/10.1127/PFG/2016/0308","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"65 1","pages":"347-358"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84789965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study of the Human Comprehension of Building Categories Based on Different 3D Building Representations","authors":"P. Tutzauer, S. Becker, D. Fritsch, Till Niese, O. Deussen","doi":"10.1127/PFG/2016/0302","DOIUrl":"https://doi.org/10.1127/PFG/2016/0302","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"26 1","pages":"319-333"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89825293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-resolution agricultural monitoring, e.g. the robust derivation of biophysical parameters through-out the cropping season and at subfield level, is gaining importance for agricultural management (pre-cision agriculture) and relies on high resolution remote sensing data (e.g. RapidEye or Sentinel-2). This data can then be utilized for regular mapping of biophysical parameters such as the fraction of absorbed photosynthetic active radiation (FPAR), the leaf area index (LAI) and the chlorophyll con-tent. Currently the development of methods for robust mapping of these biophysical parameters is matter of subject in research. At the same time, enormous data amounts will challenge processing capacities and a wise selection and reduction of data will improve the applicability of remote sensing in agriculture. Biophysical parameters were modelled with RapidEye data on winter wheat in Mecklenburg-West Pomerania, Germany, using Random Forest based on conditional inference trees. The study aims at the selection of the most important information out of spectral bands and indices for parameter predic-tion on winter wheat. In-situ and remote sensing observations were grouped into phenological phases in order to examine the importance of single spectral bands or indices for modelling biophysical reality in the several growing stages of winter wheat. Model accuracies for FPAR ranged between a coeffi-cient of determination of 0.19 and 0.83, showing, that the model accuracy is linked with the phenolog-ical phase. The results showed that for each biophysical parameter, different spectral variables become important for modelling and the number of important variables depends on the phenological time span. The prediction of biophysical parameters for short phenological groups, often depends only on one to three variables. The results also showed, that in the phenological phase of fruit development, the model accuracy is the lowest and the determination of the importance is more vague.
{"title":"Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat","authors":"Thorsten Dahms, Sylvia Seissiger, E. Borg, H. Vajen, B. Fichtelmann, C. Conrad","doi":"10.1127/PFG/2016/0303","DOIUrl":"https://doi.org/10.1127/PFG/2016/0303","url":null,"abstract":"High-resolution agricultural monitoring, e.g. the robust derivation of biophysical parameters through-out the cropping season and at subfield level, is gaining importance for agricultural management (pre-cision agriculture) and relies on high resolution remote sensing data (e.g. RapidEye or Sentinel-2). This data can then be utilized for regular mapping of biophysical parameters such as the fraction of absorbed photosynthetic active radiation (FPAR), the leaf area index (LAI) and the chlorophyll con-tent. Currently the development of methods for robust mapping of these biophysical parameters is matter of subject in research. At the same time, enormous data amounts will challenge processing capacities and a wise selection and reduction of data will improve the applicability of remote sensing in agriculture. \u0000Biophysical parameters were modelled with RapidEye data on winter wheat in Mecklenburg-West Pomerania, Germany, using Random Forest based on conditional inference trees. The study aims at the selection of the most important information out of spectral bands and indices for parameter predic-tion on winter wheat. In-situ and remote sensing observations were grouped into phenological phases in order to examine the importance of single spectral bands or indices for modelling biophysical reality in the several growing stages of winter wheat. Model accuracies for FPAR ranged between a coeffi-cient of determination of 0.19 and 0.83, showing, that the model accuracy is linked with the phenolog-ical phase. The results showed that for each biophysical parameter, different spectral variables become important for modelling and the number of important variables depends on the phenological time span. The prediction of biophysical parameters for short phenological groups, often depends only on one to three variables. The results also showed, that in the phenological phase of fruit development, the model accuracy is the lowest and the determination of the importance is more vague.","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"20 1","pages":"285-299"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87490007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erfassung der früheren und aktuellen Siedlungsdynamik von Hanoi auf Basis von heterogenen Satellitenbildern","authors":"Ingrid Christ, Rolf Lessing","doi":"10.1127/pfg/2016/0304","DOIUrl":"https://doi.org/10.1127/pfg/2016/0304","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"68 1","pages":"335-346"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88080397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This scientific report examines the spatial impacts of oil exploitation in Melut County, South Sudan, at six points in the time span between 1999 and 2011, based on Landsat satellite data. Three features were analysed: cropland, oil well pads and roads. Feature extraction consisted of pixel- and object-based classification approaches as well as on-screen digitization. Land cover classification was performed as a base for further object-based classification of cropland areas and oil well pads. Spatial analysis of the relationship between the detected features was performed. Apart from a sharp decline in cropland areas between 1999 and 2002, croplands increased steadily over time and more than doubled in size. Oil infrastructure grew enormously in size throughout the whole time series from a single pad in 1999 to 555 pads in 2011. The example exhibited the potential of Earth observation as a tool to support the field of peace and conflict research (Mager 2013).
{"title":"Impact Assessment of Oil Exploitation in South Sudan using Multi-Temporal Landsat Imagery","authors":"A. Mager, L. Wirkus, E. Schoepfer","doi":"10.1127/pfg/2016/0300","DOIUrl":"https://doi.org/10.1127/pfg/2016/0300","url":null,"abstract":"This scientific report examines the spatial impacts of oil exploitation in Melut County, South Sudan, at six points in the time span between 1999 and 2011, based on Landsat satellite data. Three features were analysed: cropland, oil well pads and roads. Feature extraction consisted of pixel- and object-based classification approaches as well as on-screen digitization. Land cover classification was performed as a base for further object-based classification of cropland areas and oil well pads. Spatial analysis of the relationship between the detected features was performed. Apart from a sharp decline in cropland areas between 1999 and 2002, croplands increased steadily over time and more than doubled in size. Oil infrastructure grew enormously in size throughout the whole time series from a single pad in 1999 to 555 pads in 2011. The example exhibited the potential of Earth observation as a tool to support the field of peace and conflict research (Mager 2013).","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"207 1","pages":"211-223"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83468639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Use of a Modified Camera for the Classification of Sedimentary Rocks","authors":"C. Toś","doi":"10.1127/PFG/2016/0299","DOIUrl":"https://doi.org/10.1127/PFG/2016/0299","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"23 1","pages":"191-210"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83204979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"WeBest – Automatisierte Korrektur und Mapping von Fassadenthermographien auf 3D-Gebäudemodelle","authors":"Dirk Monien, Rolf Wilting, E. Casper, Marcus Brennenstuhl, V. Coors","doi":"10.1127/PFG/2016/0298","DOIUrl":"https://doi.org/10.1127/PFG/2016/0298","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":"2016 1","pages":"246-257"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79437512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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