High temporal revisit frequency over vast geographic areas is necessary to properly use satellite earth observation for monitoring agricultural production. However, this often limits the spatial resolution that can be used. The challenge of discriminating pixels that correspond to a particular crop type, a prerequisite for crop specific monitoring remains daunting when the signal encoded in pixels stems from several land uses (mixed pixels). Naturally, the concept of spatial scale arises but the issue of selecting a proper class legend (the categorical scale) should not be neglected. A framework is presented that addresses these issues and that can be used to quantitatively define pixel size requirements for crop identification and to assess the effect of categorical scale. The framework was applied over two agricultural landscapes. It was demonstrated that there was no unique spatial resolution that provided the best classification result for all classes at once at a given categorical scale. The suitability of pixel populations characterized by pixel size and purity differed for identifying specific crops within tested landscapes, and for one crop there were large differences among the landscapes. In the context of agricultural crop growth monitoring the framework described above can be used to draw guidelines for selecting appropriate imagery, e.g. suitable pixel sizes, and for selecting class legends suitable for accurate crop classification when the interest is only on pixels covering arable land as a prerequisite for crop specific monitoring. The framework could be used to plot the suitability (or accuracy) of pixels as a function of their purity to provide a spatial assessment of classification performance
{"title":"Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing","authors":"F. Löw, Gregory Duveiller, C. Conrad, U. Michel","doi":"10.1127/PFG/2015/0252","DOIUrl":"https://doi.org/10.1127/PFG/2015/0252","url":null,"abstract":"High temporal revisit frequency over vast geographic areas is necessary to properly use satellite earth observation for monitoring agricultural production. However, this often limits the spatial resolution that can be used. The challenge of discriminating pixels that correspond to a particular crop type, a prerequisite for crop specific monitoring remains daunting when the signal encoded in pixels stems from several land uses (mixed pixels). Naturally, the concept of spatial scale arises but the issue of selecting a proper class legend (the categorical scale) should not be neglected. A framework is presented that addresses these issues and that can be used to quantitatively define pixel size requirements for crop identification and to assess the effect of categorical scale. The framework was applied over two agricultural landscapes. It was demonstrated that there was no unique spatial resolution that provided the best classification result for all classes at once at a given categorical scale. The suitability of pixel populations characterized by pixel size and purity differed for identifying specific crops within tested landscapes, and for one crop there were large differences among the landscapes. In the context of agricultural crop growth monitoring the framework described above can be used to draw guidelines for selecting appropriate imagery, e.g. suitable pixel sizes, and for selecting class legends suitable for accurate crop classification when the interest is only on pixels covering arable land as a prerequisite for crop specific monitoring. The framework could be used to plot the suitability (or accuracy) of pixels as a function of their purity to provide a spatial assessment of classification performance","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85478865","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}
G. Bareth, H. Aasen, J. Bendig, M. Gnyp, A. Bolten, A. Jung, R. Michels, J. Soukkamäki
{"title":"Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements","authors":"G. Bareth, H. Aasen, J. Bendig, M. Gnyp, A. Bolten, A. Jung, R. Michels, J. Soukkamäki","doi":"10.1127/PFG/2015/0256","DOIUrl":"https://doi.org/10.1127/PFG/2015/0256","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85556912","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}
Felix Bachofer, G. Quénéhervé, M. Märker, V. Hochschild
{"title":"Comparison of SVM and boosted regression trees for the delineation of lacustrine sediments using multispectral ASTER data and topographic indices in the lake Manyara Basin","authors":"Felix Bachofer, G. Quénéhervé, M. Märker, V. Hochschild","doi":"10.1127/PFG/2015/0251","DOIUrl":"https://doi.org/10.1127/PFG/2015/0251","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89397392","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}
Nazemeh Ashrafianfar, W. Busch, M. Dehghani, Steffen Knospe, Mahmud Mohammad Rezapour Tabari
{"title":"DInSAR Time Series of ALOS PALSAR and ENVISAT ASAR Data for Monitoring Hashtgerd Land Subsidence due to Overexploitation of Groundwater","authors":"Nazemeh Ashrafianfar, W. Busch, M. Dehghani, Steffen Knospe, Mahmud Mohammad Rezapour Tabari","doi":"10.1127/pfg/2014/0245","DOIUrl":"https://doi.org/10.1127/pfg/2014/0245","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81536689","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":"Spatiotemporally Varying Relationships between Urban Growth Patterns and Driving Factors in Xuzhou City, China","authors":"Cheng Li, N. Thinh, Jie Zhao","doi":"10.1127/PFG/2014/0246","DOIUrl":"https://doi.org/10.1127/PFG/2014/0246","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87767994","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":"An Enhanced Classification Approach using Hyperspectral Image Data in Combination with in situ Spectral Measurements for the Mapping of Vegetation Communities","authors":"B. Siegmann, C. Gläßer, S. Itzerott, C. Neumann","doi":"10.1127/PFG/2014/0243","DOIUrl":"https://doi.org/10.1127/PFG/2014/0243","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88514310","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":"Snapshot Hyperspectral Imaging for Soil Diagnostics – Results of a Case Study in the Spectral Laboratory","authors":"A. Jung, Michael Vohland","doi":"10.1127/PFG/2014/0242","DOIUrl":"https://doi.org/10.1127/PFG/2014/0242","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83586309","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}
Pub Date : 2014-10-01DOI: 10.1127/1432-8364/2014/0226
M. Grims, C. Atzberger, Thomas Bauer, P. Strauss
as soil surface roughness indices, which are also important for other environmental applications (MARZAHN et al. 2012). A broad range of indices were defined for describing the roughness of soil surfaces, e.g. the roughness indices by TACONET & CIARLETTI (2007), PLANCHON et al. (2002), ALLMARAS et al. (1966) or LINDEN & VAN DOREN (1986). Such indices are needed for the calculation of soil erosion with erosion models (RENARD et al. 1997). To calculate those indices, threedimensional data of the soil surfaces is needed. Additionally, the dynamic of soil surfaces (changes) has to be assessed. It is a big challenge for soil scientists to get significant information on all kinds of soils and their development due to the diversity of soils on local level
作为土壤表面粗糙度指数，这对其他环境应用也很重要(MARZAHN等，2012)。为了描述土壤表面的粗糙度，定义了一系列广泛的指标，例如TACONET和CIARLETTI (2007)， PLANCHON等人(2002)，ALLMARAS等人(1966)或LINDEN和VAN DOREN(1986)的粗糙度指数。利用侵蚀模型计算土壤侵蚀需要这些指标(RENARD et al. 1997)。为了计算这些指标，需要土壤表面的三维数据。此外，还必须评估土壤表面(变化)的动态。由于地方土壤的多样性，获取各种土壤及其发展的重要信息对土壤科学家来说是一个巨大的挑战
{"title":"Low-cost Terrestrial Photogrammetry as a Tool for a Sample-Based Assessment of Soil Roughness Preiswerte terrestrische Photogrammetrie als Werkzeug zur Bestimmung der Rauigkeit von Böden","authors":"M. Grims, C. Atzberger, Thomas Bauer, P. Strauss","doi":"10.1127/1432-8364/2014/0226","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0226","url":null,"abstract":"as soil surface roughness indices, which are also important for other environmental applications (MARZAHN et al. 2012). A broad range of indices were defined for describing the roughness of soil surfaces, e.g. the roughness indices by TACONET & CIARLETTI (2007), PLANCHON et al. (2002), ALLMARAS et al. (1966) or LINDEN & VAN DOREN (1986). Such indices are needed for the calculation of soil erosion with erosion models (RENARD et al. 1997). To calculate those indices, threedimensional data of the soil surfaces is needed. Additionally, the dynamic of soil surfaces (changes) has to be assessed. It is a big challenge for soil scientists to get significant information on all kinds of soils and their development due to the diversity of soils on local level","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88521744","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}
Pub Date : 2014-10-01DOI: 10.1127/1432-8364/2014/0233
A. Klisch, C. Atzberger
{"title":"Evaluating Phenological Metrics derived from the MODIS Time Series over the European Continent Ableitung und Evaluierung phänologischer Kenngrößen aus MODIS-Zeitreihen für den Europäischen Kontinent","authors":"A. Klisch, C. Atzberger","doi":"10.1127/1432-8364/2014/0233","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0233","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78930685","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}
Pub Date : 2014-10-01DOI: 10.1127/1432-8364/2014/0236
David Droeschel, Sven Behnke
{"title":"Omnidirectional Perception for Lightweight MAVs using a Continuously Rotating 3D Laser Omnidirektionale Wahrnehmung für leichte MAVs mittels eines kontinuierlich rotierenden 3D-Laserscanners","authors":"David Droeschel, Sven Behnke","doi":"10.1127/1432-8364/2014/0236","DOIUrl":"https://doi.org/10.1127/1432-8364/2014/0236","url":null,"abstract":"","PeriodicalId":56096,"journal":{"name":"Photogrammetrie Fernerkundung Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82387658","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：