23.4.7.3 Landform Analysis, Landform Description

Chapter Contents (Back)
Landform.
See also Geologic Mapping, Geology Analysis, Mineralogy, Fault Zones.

Gökgöz, T.[Türkay], Baker, M.K.M.[Moustafa Khalil M.],
Large Scale Landform Mapping Using Lidar DEM,
IJGI(4), No. 3, 2015, pp. 1336.
DOI Link 1508
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Guilbert, E.[Eric], Moulin, B.[Bernard],
Towards a Common Framework for the Identification of Landforms on Terrain Models,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Kramm, T.[Tanja], Hoffmeister, D.[Dirk], Curdt, C.[Constanze], Maleki, S.[Sedigheh], Khormali, F.[Farhad], Kehl, M.[Martin],
Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Mayoral, A.[Alfredo], Toumazet, J.P.[Jean-Pierre], Simon, F.X.[François-Xavier], Vautier, F.[Franck], Peiry, J.L.[Jean-Luc],
The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
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Carbonell-Carrera, C.[Carlos], Hess-Medler, S.[Stephany],
3D Landform Modeling to Enhance Geospatial Thinking,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
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Castillejo-González, I.L.[Isabel Luisa], Angueira, C.[Cristina], García-Ferrer, A.[Alfonso], Sánchez de la Orden, M.[Manuel],
Combining Object-Based Image Analysis with Topographic Data for Landform Mapping: A Case Study in the Semi-Arid Chaco Ecosystem, Argentina,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
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Gomes, R.[Rahul], Denton, A.[Anne], Franzen, D.[David],
Quantifying Efficiency of Sliding-Window Based Aggregation Technique by Using Predictive Modeling on Landform Attributes Derived from DEM and NDVI,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
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Du, L.[Lin], You, X.[Xiong], Li, K.[Ke], Meng, L.Q.[Li-Qiu], Cheng, G.[Gong], Xiong, L.Y.[Li-Yang], Wang, G.X.[Guang-Xia],
Multi-modal deep learning for landform recognition,
PandRS(158), 2019, pp. 63-75.
Elsevier DOI 1912
Landform recognition, Multi-modal geomorphological data fusion, Deep learning, Convolutional neural networks (CNN) BibRef

Yang, X.W.[Xian-Wu], Tang, G.[Guoan], Meng, X.[Xin], Xiong, L.Y.[Li-Yang],
Classification of Karst Fenglin and Fengcong Landform Units Based on Spatial Relations of Terrain Feature Points from DEMs,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
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Mihu-Pintilie, A.[Alin], Nicu, I.C.[Ionut Cristi],
GIS-based Landform Classification of Eneolithic Archaeological Sites in the Plateau-plain Transition Zone (NE Romania): Habitation Practices vs. Flood Hazard Perception,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
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Li, L.L.[Lei-Lei], Yang, J.T.[Jin-Tao], Wu, J.[Jin],
A Method of Watershed Delineation for Flat Terrain Using Sentinel-2A Imagery and DEM: A Case Study of the Taihu Basin,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
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Kwak, J.[Jeonghoon], Sung, Y.[Yunsick],
Automatic 3D Landmark Extraction System Based on an Encoder-Decoder Using Fusion of Vision and LiDAR,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Aati, S.[Saif], Avouac, J.P.[Jean-Philippe],
Optimization of Optical Image Geometric Modeling, Application to Topography Extraction and Topographic Change Measurements Using PlanetScope and SkySat Imagery,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Zhou, X.[Xiran], Xie, X.[Xiao], Xue, Y.[Yong], Xue, B.[Bing], Qin, K.[Kai], Dai, W.J.[Wei-Jiang],
Bag of Geomorphological Words: A Framework for Integrating Terrain Features and Semantics to Support Landform Object Recognition from High-Resolution Digital Elevation Models,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Lv, L.Y.[Ling-Yun], Wang, L.[Lunche], Li, C.[Chang'an], Li, H.[Hui], Wang, X.S.[Xin-Sheng], Wang, S.Q.[Shao-Qiang],
Formation Mechanism for Upland Low-Relief Surface Landscapes in the Three Gorges Region, China,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Wilhelm, T.[Thorsten], Geis, M.[Melina], Püttschneider, J.[Jens], Sievernich, T.[Timo], Weber, T.[Tobias], Wohlfarth, K.[Kay], Wöhler, C.[Christian],
DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Vörös, F.[Fanni], van Wyk de Vries, B.[Benjamin], Karátson, D.[Dávid], Székely, B.[Balázs],
DTM-Based Morphometric Analysis of Scoria Cones of the Chaîne des Puys (France): The Classic and a New Approach,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Alba-Fernández, M.V., Ariza-López, F.J., Jiménez-Gamero, M.D.,
A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Gudowicz, J.[Joanna], Paluszkiewicz, R.[Renata],
MAT: GIS-Based Morphometry Assessment Tools for Concave Landforms,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Chen, Y.[Yuan], Wang, X.[Xing], Liu, J.J.[Jian-Jun], Ren, X.[Xin], Huang, H.[Hai], Zhang, H.B.[Hong-Bo], Li, C.L.[Chun-Lai],
The Identification and Analysis of Gas-Related Volcanic Features within Chang'e-5 Landing Region,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Wang, L.[Le], Zhao, J.N.[Jian-Nan], Huang, J.[Jun], Xiao, L.[Long],
New Evidence to Support Zephyria Tholus as a Composite Volcano on Mars,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Lin, S.W.[Si-Wei], Chen, N.[Nan], He, Z.W.[Zhuo-Wen],
Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Zarychta, R.[Roksana], Zarychta, A.[Adrian], Bzdega, K.[Katarzyna],
Ecogeomorphological Transformations of Aeolian Form: The Case of a Parabolic Dune, Poland,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Melis, M.T.[Maria Teresa], Pisani, L.[Luca], de Waele, J.[Jo],
On the Use of Tri-Stereo Pleiades Images for the Morphometric Measurement of Dolines in the Basaltic Plateau of Azrou (Middle Atlas, Morocco),
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
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Wei, H.[Hong], Li, S.J.[Si-Jin], Li, C.R.[Chen-Rui], Zhao, F.[Fei], Xiong, L.Y.[Li-Yang], Tang, G.[Guoan],
Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Gioia, D.[Dario], Danese, M.[Maria], Corrado, G.[Giuseppe], Leo, P.D.[Paola Di], Amodio, A.M.[Antonio Minervino], Schiattarella, M.[Marcello],
Assessing the Prediction Accuracy of Geomorphon-Based Automated Landform Classification: An Example from the Ionian Coastal Belt of Southern Italy,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
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Novak, A.[Andrej], Oštir, K.[Krištof],
Towards Better Visualisation of Alpine Quaternary Landform Features on High-Resolution Digital Elevation Models,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Liu, W.C.[Wai Chung], Wu, B.[Bo],
Influence of solar incidence angle on single-image photoclinometry for precision lunar topographic mapping,
PandRS(182), 2021, pp. 208-227.
Elsevier DOI 2112
Photoclinometry, Error propagation, Topographic mapping, DEM, Moon BibRef

Chen, L.[Lu], Xu, Y.[Yi], Li, B.[Bo],
Comparitive Study of the Geomorphological Characteristics of Valley Networks between Mars and the Qaidam Basin,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Lu, X.J.[Xue-Jin], Cao, H.J.[Hai-Jun], Ling, Z.C.[Zong-Cheng], Fu, X.H.[Xiao-Hui], Qiao, L.[Le], Chen, J.[Jian],
Geomorphology, Mineralogy, and Geochronology of Mare Basalts and Non-Mare Materials around the Lunar Crisium Basin,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Li, M.[Min], Wu, T.[Ting], Li, W.T.[Wei-Tao], Wang, C.[Chun], Dai, W.[Wen], Su, X.[Xu], Zhao, Y.Y.[Yuan-Yuan],
Terrain Skeleton Construction and Analysis in Loess Plateau of Northern Shaanxi,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
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Yang, L.[Ling], Yang, X.[Xin], Na, J.[JiaMing],
An Exploration of Loess Landform Development Based on Population Ecology Method,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
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Jiang, S.[Sheng], Huang, X.L.[Xiao-Li], Jiang, L.[Ling],
INDMF Based Regularity Calculation Method and Its Application in the Recognition of Typical Loess Landforms,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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Qader, S.H.[Sarchil Hama], Priyatikanto, R.[Rhorom], Khwarahm, N.R.[Nabaz R.], Tatem, A.J.[Andrew J.], Dash, J.[Jadunandan],
Characterising the Land Surface Phenology of Middle Eastern Countries Using Moderate Resolution Landsat Data,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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Yu, M.G.[Ming-Ge], Rui, X.P.[Xiao-Ping], Xie, W.Y.[Wei-Yi], Xu, X.J.[Xi-Jie], Wei, W.[Wei],
Research on Automatic Identification Method of Terraces on the Loess Plateau Based on Deep Transfer Learning,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Liao, K.T.[Kai-Tao], Song, Y.J.[Yue-Jun], Xie, S.H.[Song-Hua], Luo, Y.C.[Yi-Chen], Liu, Q.[Quan], Lin, H.[Hui],
Quantitative Analysis of the Factors Influencing the Spatial Distribution of Benggang Landforms Based on a Geographical Detector,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
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Wang, W.X.[Wen-Xuan], Jiang, C.H.[Chun-Hua], Wei, L.[Lehui], Tang, Q.[Qiong], Huang, W.[Wengeng], Shen, H.[Hua], Liu, T.X.[Tong-Xin], Yang, G.B.[Guo-Bin], Zhou, C.[Chen], Zhao, Z.[Zhengyu],
Comparative Study of the Es Layer between the Plateau and Plain Regions in China,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Tomková, M., Lysák, J., Potucková, M.,
Semantic Classification of Sandstone Landscape Point Cloud Based On Neighbourhood Features,
ISPRS20(B2:333-338).
DOI Link 2012
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Eisank, C., Dragut, L.D., Götz, J., Blaschke, T.,
Developing a Semantic Model of Glacial Landforms for Objectbased Terrain Classification: The Example of Glacial Cirques,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Camargo, F.F., Almeida, C.M., Costa, G.A.O.P., Feitosa, R.Q., Oliveira, D.A.B., Ferreira, R.S., Heipke, C.,
Cognitive Approaches and Optical Multispectral Data for Semiautomated Classification of Landforms in a Rugged Mountainous Area,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Bathymetric Mapping, Analysis, Underwater Terrain .


Last update:Aug 14, 2022 at 21:20:19