High spatial resolution remote sensing : data, analysis, and applications / edited by Yuhong He and Qihao Weng.
"High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and...
Saved in:
| Online Access: |
Full Text (via Taylor & Francis) |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor and Francis,
[2018]
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| Series: | Taylor & Francis series in imaging science.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a High spatial resolution remote sensing : |b data, analysis, and applications / |c edited by Yuhong He and Qihao Weng. |
| 264 | 1 | |a Boca Raton : |b CRC Press, Taylor and Francis, |c [2018] | |
| 264 | 4 | |c ©2018. | |
| 300 | |a 1 online resource. | ||
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| 490 | 1 | |a Taylor & Francis series in imaging science. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t High resolution uas imagery in agricultural research : concepts, issues and research directions / |r Michael P. Bishop ... [and others] -- |t Building a UAV-hyperspectral system I : UAV and sensor considerations / |r Cameron Proctor -- |t Building a UAV-hyperspectral system II : hyperspectral sensor considerations and data preprocessing / |r Cameron Proctor -- |t LiDAR and spectral data integration for coastal wetland assessment / |r K. Kunwar, Lindsey Smart, and Gang Chen -- |t Multi-view image matching for 3D earth surface reconstruction / |r Chuiqing Zeng, Zinfei Wang -- |t High resolution radar data processing and applications / |r Joseph R. Buckley -- |t Structure from motion techniques for estimating the volume of wood chips / |r Travis L. Howell, Kunwar K. Singh, and Lindsey Smart -- |t A workflow to quantify the carbon storage in urban trees using multispectral ALS data / |r Xinqu Chen, Jonathan Li -- |t Suitable spectral mixing space selection for linear spectral unmixing of fine-scale urban imagery / |r Jian Yang -- |t Segmentation scale selection in geographic object-based image analysis (GEOBIA) / |r Xiuyuan Zhang, Shihong Du, Dongping Ming -- |t Computer vision methodologies for automated processing of camera trap data : a technological review / |r Joshua Seltzer, Michael Guerzhoy, and Monika Havelka -- |t UAV-based multispectral images for investigating grassland biophysical and biochemical properties / |r Bing Lu, Yuhong He -- |t Inversion of a radiative transfer model using airborne hyperspectral data for grassland leaf chlorophyll / |r Alexander Tong, Bing Lu, Yuhong He -- |t Wetland detection using high spatial resolution optical remote sensing imagery / |r Amy Mui -- |t Geomorphic and biophysical characterization of wetland ecosystems with airborne LiDAR : concepts, methods, and a case-study / |r Murray Richardson, Koreen Millard -- |t Fraction vegetation cover extraction using high spatial resolution imagery in karst areas / |r Xiangkun Qi, Chunhua Zhang, Yuhong He, Kelin Wang -- |t Using high spatial resolution imagery to estimate cherry orchard acreage in Michigan / |r Kin M. Ma. |
| 520 | 2 | |a "High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emergency plans for contact and evacuation. The book will discuss emerging high spatial resolution data sources, and detail novel techniques and applications for handling, retrieving, and making best use of high spatial resolution remote sensing data."--Provided by publisher. | |
| 545 | |a Yuhong He is an associate professor and geographic information system (GIS) program advisor in the Department of Geography at the University of Toronto Mississauga (UTM). She received her PhD in geography from the University of Saskatchewan in 2008, joined UTM as an assistant professor in 2009, and was promoted to associate professor in 2014; Qihao Weng, PhD, IEEE Fellow, is the director of the Center for Urban and Environmental Change and a professor at Indiana State University, and worked as a senior fellow at the National Aeronautics and Space Administration (NASA) from December 2008 to December 2009. He received his PhD degree from the University of Georgia in 1999. | ||
| 588 | 0 | |a online resource; title from PDF title page (Taylor & Francis, viewed October 14, 2020) | |
| 650 | 0 | |a Remote sensing. |0 http://id.loc.gov/authorities/subjects/sh85112798. | |
| 650 | 0 | |a Optical radar. |0 http://id.loc.gov/authorities/subjects/sh85095164. | |
| 650 | 0 | |a Environmental sciences |x Remote sensing. | |
| 650 | 7 | |a Cartography. |2 fast |0 (OCoLC)fst00848025. | |
| 650 | 7 | |a Geographic information systems. |2 fast |0 (OCoLC)fst00940423. | |
| 650 | 7 | |a Image processing. |2 fast |0 (OCoLC)fst00967501. | |
| 650 | 7 | |a Remote sensing. |2 fast |0 (OCoLC)fst01094469. | |
| 700 | 1 | |a He, Yuhong, |d 1978- |e editor. |0 http://id.loc.gov/authorities/names/n2018025103 |1 http://isni.org/isni/0000000486615400. | |
| 700 | 1 | |a Weng, Qihao, |e editor. |0 http://id.loc.gov/authorities/names/n2006031940 |1 http://isni.org/isni/0000000036467623. | |
| 776 | 0 | 8 | |i Print version: |t High spatial resolution remote sensing. |d Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018] |z 9781498767682 |w (DLC) 2018006261 |w (OCoLC)1035275455. |
| 830 | 0 | |a Taylor & Francis series in imaging science. |0 http://id.loc.gov/authorities/names/no2018142189. | |
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