22.1.6.42 Lidar for Land Cover, Laser Scanners for Land Cover, Remote Sensing

Chapter Contents (Back)
Classification. Lidar. Remote Sensing.

Wang, C.K.[Cheng-Kai], Tseng, Y.H.[Yi-Hsing], Chu, H.J.[Hone-Jay],
Airborne Dual-Wavelength LiDAR Data for Classifying Land Cover,
RS(6), No. 1, 2014, pp. 700-715.
DOI Link 1402
BibRef

Liu, X.L.[Xiao-Long], Bo, Y.C.[Yan-Chen],
Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data,
RS(7), No. 1, 2015, pp. 922-950.
DOI Link 1502
BibRef

Sankey, J.B.[Joel B.], Munson, S.M.[Seth M.], Webb, R.H.[Robert H.], Wallace, C.S.A.[Cynthia S. A.], Duran, C.M.[Cesar M.],
Remote Sensing of Sonoran Desert Vegetation Structure and Phenology with Ground-Based LiDAR,
RS(7), No. 1, 2014, pp. 342-359.
DOI Link 1502
BibRef

Eitel, J.U.H.[Jan U.H.], Magney, T.S.[Troy S.], Vierling, L.A.[Lee A.], Dittmar, G.[Günter],
Assessment of crop foliar nitrogen using a novel dual-wavelength laser system and implications for conducting laser-based plant physiology,
PandRS(97), No. 1, 2014, pp. 229-240.
Elsevier DOI 1410
Foliar biochemistry BibRef

Lindgren, N.[Nils], Christensen, P.[Pernilla], Nilsson, B.[Björn], Åkerholm, M.[Marianne], Allard, A.[Anna], Reese, H.[Heather], Olsson, H.[Håkan],
Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey,
RS(7), No. 4, 2015, pp. 4253-4267.
DOI Link 1505
BibRef

Zhu, X.[Xi], Wang, T.J.[Tie-Jun], Darvishzadeh, R.[Roshanak], Skidmore, A.K.[Andrew K.], Niemann, K.O.[K. Olaf],
3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction,
PandRS(110), No. 1, 2015, pp. 14-23.
Elsevier DOI 1601
Leaf surface BibRef

Luo, S.[Shezhou], Wang, C.[Cheng], Xi, X.H.[Xiao-Huan], Zeng, H.C.[Hong-Cheng], Li, D.[Dong], Xia, S.[Shaobo], Wang, P.[Pinghua],
Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification,
RS(8), No. 1, 2016, pp. 3.
DOI Link 1602
BibRef

Junttila, S.[Samuli], Vastaranta, M.[Mikko], Liang, X.[Xinlian], Kaartinen, H.[Harri], Kukko, A.[Antero], Kaasalainen, S.[Sanna], Holopainen, M.[Markus], Hyyppä, H.[Hannu], Hyyppä, J.[Juha],
Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Varvia, P.[Petri], Lähivaara, T.[Timo], Maltamo, M.[Matti], Packalen, P.[Petteri], Tokola, T.[Timo], Seppänen, A.[Aku],
Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation,
GeoRS(55), No. 3, March 2017, pp. 1671-1681.
IEEE DOI 1703
Bayes methods BibRef

Matikainen, L.[Leena], Karila, K.[Kirsi], Hyyppä, J.[Juha], Litkey, P.[Paula], Puttonen, E.[Eetu], Ahokas, E.[Eero],
Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating,
PandRS(128), No. 1, 2017, pp. 298-313.
Elsevier DOI 1706
Laser scanning BibRef

Vosselman, G.[George], Coenen, M.[Maximilian], Rottensteiner, F.[Franz],
Contextual segment-based classification of airborne laser scanner data,
PandRS(128), No. 1, 2017, pp. 354-371.
Elsevier DOI 1706
Point cloud BibRef

Estrada, J.[Jesús], Sánchez, H.[Héctor], Hernanz, L.[Lorena], Checa, M.J.[María José], Roman, D.[Dumitru],
Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Launeau, P.[Patrick], Giraud, M.[Manuel], Ba, A.[Antoine], Moussaoui, S.[Saïd], Robin, M.[Marc], Debaine, F.[Françoise], Lague, D.[Dimitri], Le Menn, E.[Erwan],
Full-Waveform LiDAR Pixel Analysis for Low-Growing Vegetation Mapping of Coastal Foredunes in Western France,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Pan, X.[Xuran], Gao, L.[Lianru], Marinoni, A.[Andrea], Zhang, B.[Bing], Yang, F.[Fan], Gamba, P.[Paolo],
Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Xu, Z.[Zewei], Guan, K.[Kaiyu], Casler, N.[Nathan], Peng, B.[Bin], Wang, S.[Shaowen],
A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery,
PandRS(144), 2018, pp. 423-434.
Elsevier DOI 1809
Big data analysis, Convolutional neural network, Land cover classification, LiDAR, Multi-temporal Landsat imagery BibRef

Lucas, C.[Chris], Bouten, W.[Willem], Koma, Z.[Zsófia], Kissling, W.D.[W. Daniel], Seijmonsbergen, A.C.[Arie C.],
Identification of Linear Vegetation Elements in a Rural Landscape Using LiDAR Point Clouds,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ma, Y.[Yue], Zhang, W.H.[Wen-Hao], Sun, J.[Jinyan], Li, G.[Guoyuan], Wang, X.H.[Xiao Hua], Li, S.[Song], Xu, N.[Nan],
Photon-Counting Lidar: An Adaptive Signal Detection Method for Different Land Cover Types in Coastal Areas,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Okhrimenko, M.[Maxim], Hopkinson, C.[Chris],
Investigating the Consistency of Uncalibrated Multispectral Lidar Vegetation Indices at Different Altitudes,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Okhrimenko, M.[Maxim], Coburn, C.[Craig], Hopkinson, C.[Chris],
Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Jiang, C.H.[Chang-Hui], Chen, Y.W.[Yu-Wei], Wu, H.H.[Hao-Hao], Li, W.[Wei], Zhou, H.[Hui], Bo, Y.M.[Yu-Ming], Shao, H.[Hui], Song, S.J.[Shao-Jing], Puttonen, E.[Eetu], Hyyppä, J.[Juha],
Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameters Extraction,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zorzi, S., Maset, E., Fusiello, A., Crosilla, F.,
Full-Waveform Airborne LiDAR Data Classification Using Convolutional Neural Networks,
GeoRS(57), No. 10, October 2019, pp. 8255-8261.
IEEE DOI 1910
cartography, convolutional neural nets, geophysical image processing, image classification, Light Detection and Ranging (LiDAR) BibRef

Tanaka, K.[Kenichiro], Mukaigawa, Y.[Yasuhiro], Funatomi, T.[Takuya], Kubo, H.[Hiroyuki], Matsushita, Y.[Yasuyuki], Yagi, Y.[Yasushi],
Material Classification from Time-of-Flight Distortions,
PAMI(41), No. 12, December 2019, pp. 2906-2918.
IEEE DOI 1911
Depth is distorted by certain materials. Image classification, Distortion measurement, Time-domain analysis, Optical distortion, Optical imaging, temporal point spread functions BibRef


Liu, Y.S.[Yan-Song], Piramanayagam, S.[Sankaranarayanan], Monteiro, S.T.[Sildomar T.], Saber, E.[Eli],
Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs,
EarthVision17(1561-1570)
IEEE DOI 1709
Labeling, Laser radar, Neural networks, Optical imaging, Remote sensing, Semantics, Training BibRef

Kumazakia, R., Kunii, Y.,
3d Modeling Of Components Of A Garden By Using Point Cloud Data,
ISPRS16(B5: 305-309).
DOI Link 1610
Rocks, shrubs, etc. BibRef

Bakula, K., Kupidura, P., Jelowicki, L.,
Testing Of Land Cover Classification From Multispectral Airborne Laser Scanning Data,
ISPRS16(B7: 161-169).
DOI Link 1610
BibRef

Yastikli, N., Cetin, Z.,
Classification Of Lidar Data With Point Based Classification Methods,
ISPRS16(B3: 441-445).
DOI Link 1610
BibRef

Zhou, M., Li, C.R., Ma, L., Guan, H.C.,
Land Cover Classification From Full-waveform Lidar Data Based On Support Vector Machines,
ISPRS16(B3: 447-452).
DOI Link 1610
BibRef

Umemura, M.[Masaki], Hotta, K.[Kazuhiro], Nonaka, H.[Hideki], Oda, K.[Kazuo],
Segmentation of LiDAR Intensity Using CNN Feature Based on Weighted Voting,
ICIAR17(578-585).
Springer DOI 1706
BibRef
Earlier:
Image Labeling For Lidar Intensity Image Using K-nn Of Feature Obtained By Convolutional Neural Network,
ISPRS16(B3: 931-935).
DOI Link 1610
BibRef

Shi, S.[Shuo], Gong, W.[Wei], Du, L.[Lin], Sun, J.[Jia], Yang, J.[Jian],
Potential Application Of Novel Hyperspectral Lidar For Monitoring Crops Nitrogen Stress,
ISPRS16(B8: 1043-1047).
DOI Link 1610
BibRef

Yang, J.[Jian], Gong, W.[Wei], Shi, S.[Shuo], Du, L.[Lin], Sun, J.[Jia], Song, S.[Shalei],
The Effective Of Different Excitation Wavelengths On The Identification Of Plant Species Based On Fluorescence Lidar,
ISPRS16(B1: 147-150).
DOI Link 1610
BibRef

Villar, R.G.[Ricardo G.], Pelayo, J.L.[Jigg L.], Mozo, R.M.N.[Ray Mari N.], Salig Jr., J.B.[James B.], Bantugan, J.[Jojemar],
Non-trivial Feature Derivation For Intensifying Feature Detection Using Lidar Datasets Through Allometric Aggregation Data Analysis Applying Diffused Hierarchical Clustering For Discriminating Agricultural Land Cover In Portions Of Northern Mindanao, Philippines,
ISPRS16(B8: 1009-1016).
DOI Link 1610
BibRef

Blanco, A.C., Tamondong, A., Perez, A.M., Ang, M.R.C., Paringit, E., Alberto, R., Alibuyog, N., Aquino, D., Ballado, A., Garcia, P., Japitana, M., Ignacio, M.T., Macandog, D., Novero, A., Otadoy, R.E., Regis, E., Rodriguez, M., Silapan, J., Villar, R.,
Nationwide Natural Resource Inventory Of The Philippines Using Lidar: Strategies, Progress, And Challenges,
ISPRS16(B6: 105-109).
DOI Link 1610
BibRef

Lin, Y.C.[Yu-Ching], Lin, C.[Chin_Su], Tsai, M.D.[Ming-Da], Lin, C.L.[Chun-Lin],
Object-based Analysis Of Lidar Geometric Features For Vegetation Detection In Shaded Areas,
ISPRS16(B1: 43-46).
DOI Link 1610
BibRef

Wang, J.H., Li, C.R., Tang, L.L., Zhou, M., Li, J.M.,
A Comparison of Two Different Approaches of Point Cloud Classification Based on Full-Waveform Lidar Data,
ISPRS12(XXXIX-B3:179-182).
DOI Link 1209
BibRef

Shaker, A., El-Ashmawy, N.,
Land Cover Information Extraction Using Lidar Data,
ISPRS12(XXXIX-B7:167-172).
DOI Link 1209
BibRef

Borkowski, A., Józków, G.,
Airborne Laser Scanning Data Filtering Using Flakes,
ISPRS08(B3b: 179 ff).
PDF File. 0807
BibRef

Tymkow, P., Borkowski, A.,
Land Cover Classification Using Airborne Laser Scanning Data and Photographs,
ISPRS08(B3b: 185 ff).
PDF File. 0807
BibRef

Alonso, M.C.[María C.], Malpica, J.A.[José A.],
Classification of Multispectral High-Resolution Satellite Imagery Using LIDAR Elevation Data,
ISVC08(II: 85-94).
Springer DOI 0812
BibRef

Levick, S., Rogers, K.H.,
LiDAR and object-based image analysis as tools for monitoring the structural diversity of savanna vegetation,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Song, J.H.[Jeong Heon], Han, S.H.[Soo Hee], Yu, K.Y.[Ki Yun], Kim, Y.I.[Yong Il],
Assessing the Possibility of Land-Cover Classification Using LIDAR Intensity Data,
PCV02(B: 259). 0305
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Radar for Land Cover, SAR for Land Cover, Remote Sensing .


Last update:Dec 7, 2019 at 17:16:29