24.4.7.3 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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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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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.M.[Jia-Ming],
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.Y.[Zheng-Yu],
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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Makarieva, O.[Olga], Nesterova, N.[Nataliia], Shikhov, A.[Andrey], Zemlianskova, A.[Anastasiia], Luo, D.L.[Dong-Liang], Ostashov, A.[Andrey], Alexeev, V.[Vladimir],
Giant Aufeis: Unknown Glaciation in North-Eastern Eurasia According to Landsat Images 2013-2019,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Cao, Y.Q.[Ya-Qin], Wang, Y.Z.[Yong-Zhi], Liu, J.Z.[Jian-Zhong], Zeng, X.J.[Xiao-Jia], Wang, J.T.[Jun-Tao],
Selection of Whole-Moon Landing Zones Based on Weights of Evidence and Fractals,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Qi, Z.P.[Zi-Peng], Zou, Z.X.[Zheng-Xia], Chen, H.[Hao], Shi, Z.W.[Zhen-Wei],
3D Reconstruction of Remote Sensing Mountain Areas with TSDF-Based Neural Networks,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Vörös, F.[Fanni], van Wyk de Vries, B.[Benjamin], Guilbaud, M.N.[Marie-Noëlle], Görüm, T.[Tolga], Karátson, D.[Dávid], Székely, B.[Balázs],
DTM-Based Comparative Geomorphometric Analysis of Four Scoria Cone Areas: Suggestions for Additional Approaches,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Ahrens, C.[Caitlin], Lena, R.[Raffaello],
An Effusive Lunar Dome Near Fracastorius Crater: Spectral and Morphometric Properties,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Ellinger, A.[Andreas], Woerner, C.[Christian], Scherer, R.[Raimar],
Automatic Segmentation of Bulk Material Heaps Using Color, Texture, and Topography from Aerial Data and Deep Learning-Based Computer Vision,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Phillips, M.S.[Michael S.], McInenly, M.[Michael], Hofmann, M.H.[Michael H.], Hinman, N.W.[Nancy W.], Warren-Rhodes, K.[Kimberley], Rivera-Valentín, E.G.[Edgard G.], Cabrol, N.A.[Nathalie A.],
Salt Constructs in Paleo-Lake Basins as High-Priority Astrobiology Targets,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Jordanova, G.[Galena], Verbovšek, T.[Timotej],
Improved Automatic Classification of Litho-Geomorphological Units by Using Raster Image Blending, Vipava Valley (SW Slovenia),
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Liu, Z.[Zihan], Zhang, H.M.[Hong-Ming], Dong, L.[Liang], Sun, Z.T.[Zhi-Tong], Wu, S.F.[Shu-Fang], Zhang, B.[Biao], Yuan, L.L.[Lin-Lin], Wang, Z.F.[Zhen-Fei], Jia, Q.[Qimeng],
An Optimised Region-Growing Algorithm for Extraction of the Loess Shoulder-Line from DEMs,
IJGI(12), No. 4, 2023, pp. 140.
DOI Link 2305
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Mirzadeh, S.M.J.[Sayyed Mohammad Javad], Jin, S.G.[Shuang-Gen], Amani, M.[Meisam],
Spatial-Temporal Changes of Abarkuh Playa Landform from Sentinel-1 Time Series Data,
RS(15), No. 11, 2023, pp. 2774.
DOI Link 2306
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Polat, A.[Ali], Keskin, I.[Inan], Polat, Ö.[Özlem],
Automatic Detection and Mapping of Dolines Using U-Net Model from Orthophoto Images,
IJGI(12), No. 11, 2023, pp. xx-yy.
DOI Link 2312
doline is a natural closed depression formed as a result of karstification, BibRef

Li, L.[Lin], Xiao, E.[Enzhao], Wei, X.L.[Xiao-Long], Qiu, N.[Ning], Latif, K.[Khalid], Guo, J.X.[Jing-Xue], Sun, B.[Bo],
Crustal Imaging across the Princess Elizabeth Land, East Antarctica from 2D Gravity and Magnetic Inversions,
RS(15), No. 23, 2023, pp. 5523.
DOI Link 2312
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Qu, Y.B.[Yu-Bing], Chi, Y.[Yuan], Gao, J.H.[Jian-Hua], Zhang, Z.W.[Zhi-Wei], Liu, Z.H.[Zhen-Hang], Wang, Y.P.[Ya-Ping],
Measuring the Multi-Scale Landscape Pattern of China's Largest Archipelago from a Dual-3D Perspective Based on Remote Sensing,
RS(15), No. 24, 2023, pp. 5627.
DOI Link 2401
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del Valle-Villalonga, L.[Laura], Pons, G.X.[Guillem Xavier], Bardolet, M.[Marcial],
Posidonia oceanica Cartography and Evolution of the Balearic Sea (Western Mediterranean),
RS(15), No. 24, 2023, pp. 5748.
DOI Link 2401
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Choi, I.[Inhyeok], Kwak, D.[Dongyoup],
Optimizing Terrain Classification Methods for the Determination of Bedrock Depth and the Average Shear Wave Velocity of Soil,
RS(16), No. 2, 2024, pp. 233.
DOI Link 2402
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Telbisz, T.[Tamás], Mari, L.[László], Székely, B.[Balázs],
LiDAR-Based Morphometry of Dolines in Aggtelek Karst (Hungary) and Slovak Karst (Slovakia),
RS(16), No. 5, 2024, pp. 737.
DOI Link 2403
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Vincent, G.[Grace], Yepremyan, A.[Alice], Chen, J.[Jingdao], Goh, E.[Edwin],
Mixed-Domain Training Improves Multi-Mission Terrain Segmentation,
AI4Space22(96-111).
Springer DOI 2304
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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., da Costa, G.A.O.P.[Gilson Alexandre Ostwald Pedro], Feitosa, R.Q.[Raul Queiroz], 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:Mar 16, 2024 at 20:36:19