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Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing 分类和空间尺度对作物遥感监督分类的影响
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2015-02-01 DOI: 10.1127/PFG/2015/0252
F. Löw, Gregory Duveiller, C. Conrad, U. Michel
{"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":"18 1","pages":"7-20"},"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}
引用次数: 4
Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements 用于作物监测的低重量和基于无人机的高光谱全画幅相机:与便携式光谱辐射计测量的光谱比较
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2015-02-01 DOI: 10.1127/PFG/2015/0256
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":"2015 1","pages":"69-79"},"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}
引用次数: 111
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 基于多光谱ASTER数据和地形指数的支持向量机与增强回归树在Manyara湖盆地湖泊沉积物圈定中的比较
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2015-02-01 DOI: 10.1127/PFG/2015/0251
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":"114 1","pages":"81-94"},"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}
引用次数: 15
DInSAR Time Series of ALOS PALSAR and ENVISAT ASAR Data for Monitoring Hashtgerd Land Subsidence due to Overexploitation of Groundwater 利用ALOS PALSAR和ENVISAT ASAR数据的DInSAR时间序列监测地下水过度开采造成的hashgerd地面沉降
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-12-01 DOI: 10.1127/pfg/2014/0245
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":"88 1","pages":"497-510"},"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}
引用次数: 2
Spatiotemporally Varying Relationships between Urban Growth Patterns and Driving Factors in Xuzhou City, China 徐州市城市增长格局与驱动因素的时空变化关系
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-12-01 DOI: 10.1127/PFG/2014/0246
Cheng Li, N. Thinh, Jie Zhao
{"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":"2014 1","pages":"535-548"},"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}
引用次数: 4
An Enhanced Classification Approach using Hyperspectral Image Data in Combination with in situ Spectral Measurements for the Mapping of Vegetation Communities 一种基于高光谱图像数据与原位光谱测量相结合的植被群落制图改进分类方法
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-12-01 DOI: 10.1127/PFG/2014/0243
B. Siegmann, C. Gläßer, S. Itzerott, C. Neumann
{"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":"24 1","pages":"523-533"},"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}
引用次数: 6
Snapshot Hyperspectral Imaging for Soil Diagnostics – Results of a Case Study in the Spectral Laboratory 土壤诊断的快照高光谱成像-光谱实验室案例研究的结果
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-12-01 DOI: 10.1127/PFG/2014/0242
A. Jung, Michael Vohland
{"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":"75 1","pages":"511-522"},"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}
引用次数: 3
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 陆相摄影测量技术在土壤粗糙度评估中的应用[j] .遥感学报，2006,26 (2):Böden
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-10-01 DOI: 10.1127/1432-8364/2014/0226
M. Grims, C. Atzberger, Thomas Bauer, P. Strauss
{"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":"63 1","pages":"313-323"},"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}
引用次数: 3
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 欧洲大陆的形态串行和评价欧洲大陆的气候学基准
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-10-01 DOI: 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":"14 1","pages":"409-421"},"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}
引用次数: 3
Omnidirectional Perception for Lightweight MAVs using a Continuously Rotating 3D Laser Omnidirektionale Wahrnehmung für leichte MAVs mittels eines kontinuierlich rotierenden 3D-Laserscanners 用一个持续转动的3D激光扫描对小型车的全方位指引
Photogrammetrie Fernerkundung Geoinformation Pub Date : 2014-10-01 DOI: 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":"11 1","pages":"451-464"},"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}
引用次数: 10
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