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P. Schlager, C. Ruppert-Winkel & K. Schmieder. (2020) Assessing the potential impacts of bioenergy cropping on a population of the ground-breeding bird Alauda arvensis: a case study from southern Germany. Landscape Research 45:8, pages 1000-1017.
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Zhengfei Guo, Dedi Yang, Jin Chen & Xihong Cui. (2018) A new index for mapping the ‘blue steel tile’ roof dominated industrial zone from Landsat imagery. Remote Sensing Letters 9:6, pages 578-586.
Read now
Read now
Tessio Novack, Hermann Kux, Raul Q. Feitosa & Gilson A. O. P. Costa. (2014) A knowledge-based, transferable approach for block-based urban land-use classification. International Journal of Remote Sensing 35:13, pages 4739-4757.
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Sunil Bhaskaran, Eric Nez, Karolyn Jimenez & SanjivK. Bhatia. (2013) Rule-based classification of high-resolution imagery over urban areas in New York City. Geocarto International 28:6, pages 527-545.
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JohnA. Long, RickL. Lawrence, MarkC. Greenwood, Lucy Marshall & PerryR. Miller. (2013) Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest. GIScience & Remote Sensing 50:4, pages 418-436.
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Shougeng Hu & Le Wang. (2013) Automated urban land-use classification with remote sensing. International Journal of Remote Sensing 34:3, pages 790-803.
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Paul Aplin & GeoffreyM. Smith. (2011) Introduction to object-based landscape analysis. International Journal of Geographical Information Science 25:6, pages 869-875.
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Dionys Forster, Tobias
Walter Kellenberger, Yves Buehler & Bernd Lennartz. (2010) Mapping diversified peri-urban agriculture – potential of object-based versus per-field land cover/land use classification. Geocarto International 25:3, pages 171-186.
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Shuo-Sheng Wu, Xiaomin Qiu, E.
Lynn Usery & Le Wang. (2009) Using Geometrical, Textural, and Contextual Information of Land Parcels for Classification of Detailed Urban Land Use. Annals of the Association of American Geographers 99:1, pages 76-98.
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Articles from other publishers (15)
Hyungchul Chung, Qiaonan Duan, Zihao Chen & Yueming Yang. (2023) Investigating the effects of POI-based land use on traffic accidents in Suzhou Industrial Park, China. Case Studies on Transport Policy 12, pages 100933.
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Xinyuan Wang, Jing Zhen & Qingkai MengXinyuan Wang, Jing Zhen & Qingkai Meng. 2023. Spatial Observation of Giant Panda Habitat. Spatial Observation of Giant Panda Habitat
147
232
.
Feixue JiaJinfeng YanFenzhen SuJiaxue DuShiyi ZhaoJinbiao Bai. (2022) Construction of a Scoring Evaluation Model for Identifying Urban Functional Areas Based on Multisource Data. Journal of Urban Planning and Development 148:4.
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Yan YU, Wei Wei, Jun Li & Yanning Zhang. (2018) Urban Impervious Surface Extraction Based on the Integration of Remote Sensing Images and Social Media Data. Urban Impervious Surface Extraction Based on the Integration of Remote Sensing Images and Social Media Data.
Yuan Zhang, Qiangzi Li, Huiping Huang, Wei Wu, Xin Du & Hongyan Wang. (2017) The Combined Use of Remote Sensing and Social Sensing Data in Fine-Grained Urban Land Use Mapping: A Case Study in Beijing, China. Remote Sensing 9:9, pages 865.
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Weixing Zhang, Weidong Li, Chuanrong Zhang, Dean M. Hanink, Xiaojiang Li & Wenjie Wang. (2017) Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View. Computers, Environment and Urban Systems 64, pages 215-228.
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Crossref
Weixing Zhang, Weidong Li, Chuanrong Zhang, Dean M. Hanink, Xiaojiang Li & Wenjie Wang. (2017) Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain-->. Data in Brief 12, pages 175-179.
Crossref
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H. Gokhan Akcay & Selim Aksoy. (2016) Automatic Detection of Compound Structures by Joint Selection of Region Groups From a Hierarchical Segmentation. IEEE Transactions on Geoscience and Remote Sensing 54:6, pages 3485-3501.
Crossref
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Tengyun Hu, Jun Yang, Xuecao Li & Peng Gong. (2016) Mapping Urban Land Use by Using Landsat Images and Open Social Data. Remote Sensing 8:2, pages 151.
Crossref
Crossref
Reine Maria Basse, Omar Charif & Katalin Bódis. (2016) Spatial and temporal dimensions of land use change in cross border region of Luxembourg. Development of a hybrid approach integrating GIS, cellular automata and decision learning tree models. Applied Geography 67, pages 94-108.
Crossref
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Kuria Thiong’o, René Pasternak, Alfred Kleusberg, Frank Thonfeld & Gunter Menz. (2015) Separability of Dominant Crop Cultures in Southern Germany Using TerraSAR-X Data. Advances in Remote Sensing 04:02, pages 97-107.
Crossref
Crossref
José Luis Silván-Cárdenas, Juan Andrés Almazán-González & Stéphane A. Couturier. 2014. Pattern Recognition. Pattern Recognition
380
390
.
Sory I. Toure, Douglas A. Stow, John R. Weeks & Sunil Kumar. (2013) Histogram Curve Matching Approaches for Object-based Image Classification of Land Cover and Land Use. Photogrammetric Engineering & Remote Sensing 79:5, pages 433-440.
Crossref
Crossref
Ali Mahmoud, Samy Elbialy, Biswajeet Pradhan & Manfred Buchroithner. (2011) Field-based landcover classification using TerraSAR-X texture analysis. Advances in Space Research 48:5, pages 799-805.
Crossref
Crossref
Geoffrey M. Smith & R. Daniel Morton. (2010) Real World Objects in GEOBIA through the Exploitation of Existing Digital Cartography and Image Segmentation. Photogrammetric Engineering & Remote Sensing 76:2, pages 163-171.
Crossref
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