The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Ammatzia Peled; N.   Paparoditis; C.   Mallet; F.   Lafarge; J. Jiang; A.   Shaker; H.   Zhang; Liang Xu; B.   Osmanoglu; U.   Soergel; E.   Honkavaara; M.   Scaioni; J. Zhang; Lawrence Wu; Rui Li; M.   Yoshimura; K.   Di; Altan Onat; H. M.  Abdulmuttalib; F. S.  Faruque

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Ammatzia Peled (Editor), N. Paparoditis (Editor), C. Mallet (Editor), F. Lafarge (Editor), J. Jiang (Editor), A. Shaker (Editor), H. Zhang (Editor), Liang Xu (Editor), B. Osmanoglu (Editor), U. Soergel (Editor), E. Honkavaara (Editor), M. Scaioni (Editor), J. Zhang (Editor), Lawrence Wu (Editor), Rui Li (Editor), M. Yoshimura (Editor), K. Di (Editor), Altan Onat (Editor), H. M. Abdulmuttalib (Editor), F. S. Faruque (Editor)

Department of Geography and Environmental Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The proceedings contain 19 papers. The topics discussed include: UAS lidar mapping of an arctic tundra watershed: challenges and opportunities; study of active farmland use to support agent-based modeling of food deserts; assessment of the precision of a smart-phone pole photogrammetry for a second-order cliff surface deformation studies; a method to generate flood maps in 3D using dem and deep learning; evaluation of converting Landsat DN to ta and SR values on select spectral indices; comparison of image enhancement techniques for rapid processing of post flood images; deep learning for remote sensing image classification for agriculture applications; and digital surface model derived from UAS imagery assessment using high-precision aerial lidar as reference surface.

Original language	English
Title of host publication	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Editors	K. Schuckman, T. Jordan
Publisher	International Society for Photogrammetry and Remote Sensing
Volume	XLIII-B3
Edition	M-2
State	Published - 2020
Event	American Society for Photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference - Virtual, Online, United States Duration: 22 Jun 2020 → 26 Jun 2020

Publication series

Name	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publisher	International Society for Photogrammetry and Remote Sensing
ISSN (Print)	1682-1750

Conference

Conference	American Society for Photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference
Country/Territory	United States
City	Virtual, Online
Period	22/06/20 → 26/06/20

Cite this

Peled, A., Paparoditis, N., Mallet, C., Lafarge, F., Jiang, J., Shaker, A., Zhang, H., Xu, L., Osmanoglu, B., Soergel, U., Honkavaara, E., Scaioni, M., Zhang, J., Wu, L., Li, R., Yoshimura, M., Di, K., Onat, A., Abdulmuttalib, H. M., & Faruque, F. S. (Eds.) (2020). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. In K. Schuckman, & T. Jordan (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (M-2 ed., Vol. XLIII-B3). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing.

Peled, Ammatzia (Editor) ; Paparoditis, N. (Editor) ; Mallet, C. (Editor) et al. / The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. editor / K. Schuckman ; T. Jordan. Vol. XLIII-B3 M-2. ed. International Society for Photogrammetry and Remote Sensing, 2020. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

@inproceedings{fadb6ec4304e4226aff74794ca925cd9,

title = "The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

abstract = "The proceedings contain 19 papers. The topics discussed include: UAS lidar mapping of an arctic tundra watershed: challenges and opportunities; study of active farmland use to support agent-based modeling of food deserts; assessment of the precision of a smart-phone pole photogrammetry for a second-order cliff surface deformation studies; a method to generate flood maps in 3D using dem and deep learning; evaluation of converting Landsat DN to ta and SR values on select spectral indices; comparison of image enhancement techniques for rapid processing of post flood images; deep learning for remote sensing image classification for agriculture applications; and digital surface model derived from UAS imagery assessment using high-precision aerial lidar as reference surface.",

author = "Ammatzia Peled and N. Paparoditis and C. Mallet and F. Lafarge and J. Jiang and A. Shaker and H. Zhang and Liang Xu and B. Osmanoglu and U. Soergel and E. Honkavaara and M. Scaioni and J. Zhang and Lawrence Wu and Rui Li and M. Yoshimura and K. Di and Altan Onat and Abdulmuttalib, {H. M.} and Faruque, {F. S.}",

year = "2020",

language = "English",

volume = "XLIII-B3",

series = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

publisher = "International Society for Photogrammetry and Remote Sensing",

editor = "K. Schuckman and T. Jordan",

booktitle = "The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

edition = "M-2",

note = "American Society for Photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference ; Conference date: 22-06-2020 Through 26-06-2020",

}

Peled, A, Paparoditis, N, Mallet, C, Lafarge, F, Jiang, J, Shaker, A, Zhang, H, Xu, L, Osmanoglu, B, Soergel, U, Honkavaara, E, Scaioni, M, Zhang, J, Wu, L, Li, R, Yoshimura, M, Di, K, Onat, A, Abdulmuttalib, HM & Faruque, FS (eds) 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. in K Schuckman & T Jordan (eds), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. M-2 edn, vol. XLIII-B3, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, International Society for Photogrammetry and Remote Sensing, American Society for Photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference, Virtual, Online, United States, 22/06/20.

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. / Peled, Ammatzia (Editor); Paparoditis, N. (Editor); Mallet, C. (Editor) et al.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ed. / K. Schuckman; T. Jordan. Vol. XLIII-B3 M-2. ed. International Society for Photogrammetry and Remote Sensing, 2020. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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A2 - Paparoditis, N.

A2 - Mallet, C.

A2 - Lafarge, F.

A2 - Jiang, J.

A2 - Shaker, A.

A2 - Zhang, H.

A2 - Xu, Liang

A2 - Osmanoglu, B.

A2 - Soergel, U.

A2 - Honkavaara, E.

A2 - Scaioni, M.

A2 - Zhang, J.

A2 - Wu, Lawrence

A2 - Li, Rui

A2 - Yoshimura, M.

A2 - Di, K.

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N2 - The proceedings contain 19 papers. The topics discussed include: UAS lidar mapping of an arctic tundra watershed: challenges and opportunities; study of active farmland use to support agent-based modeling of food deserts; assessment of the precision of a smart-phone pole photogrammetry for a second-order cliff surface deformation studies; a method to generate flood maps in 3D using dem and deep learning; evaluation of converting Landsat DN to ta and SR values on select spectral indices; comparison of image enhancement techniques for rapid processing of post flood images; deep learning for remote sensing image classification for agriculture applications; and digital surface model derived from UAS imagery assessment using high-precision aerial lidar as reference surface.

AB - The proceedings contain 19 papers. The topics discussed include: UAS lidar mapping of an arctic tundra watershed: challenges and opportunities; study of active farmland use to support agent-based modeling of food deserts; assessment of the precision of a smart-phone pole photogrammetry for a second-order cliff surface deformation studies; a method to generate flood maps in 3D using dem and deep learning; evaluation of converting Landsat DN to ta and SR values on select spectral indices; comparison of image enhancement techniques for rapid processing of post flood images; deep learning for remote sensing image classification for agriculture applications; and digital surface model derived from UAS imagery assessment using high-precision aerial lidar as reference surface.

UR - https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/index.html

M3 - Conference contribution

VL - XLIII-B3

T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

BT - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

PB - International Society for Photogrammetry and Remote Sensing

T2 - American Society for Photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference

Y2 - 22 June 2020 through 26 June 2020

ER -

Peled A, (ed.), Paparoditis N, (ed.), Mallet C, (ed.), Lafarge F, (ed.), Jiang J, (ed.), Shaker A, (ed.) et al. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. In Schuckman K, Jordan T, editors, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. M-2 ed. Vol. XLIII-B3. International Society for Photogrammetry and Remote Sensing. 2020. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Abstract

Publication series

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