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Open AccessEditorial

Editorial for the Special Issue on Selected Papers from the “2019 International Symposium on Remote Sensing”

1
Center for Space and Remote Sensing Research, National Central University, 300 Zhongda Road, Zhongli, Taoyuan 32001, Taiwan
2
Department of Geomatics, National Cheng-Kung University, No. 1, Daxue Road, East Dist., Tainan City 701, Taiwan
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Department of Civil Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei 10608, Taiwan
4
Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(12), 1947; https://doi.org/10.3390/rs12121947
Received: 15 June 2020 / Accepted: 16 June 2020 / Published: 17 June 2020
The 2019 International Symposium on Remote Sensing (ISRS-2019) took place in Taipei, Taiwan from 17 to 19 April 2019. ISRS is one of the distinguished conferences on the photogrammetry, remote sensing and spatial information sciences, especially in East Asia. More than 220 papers were presented in 37 technical sessions organized at the conference. This Special Issue publishes a limited number of featured peer-reviewed papers extended from their original contributions at ISRS-2019. The selected papers highlight a variety of topics pertaining to innovative concepts, algorithms and applications with geospatial sensors, systems, and data, in conjunction with emerging technologies such as artificial intelligence, machine leaning and advanced spatial analysis algorithms. The topics of the selected papers include the following: the on-orbit radiometric calibration of satellite optical sensors, environmental characteristics assessment with remote sensing, machine learning-based photogrammetry and image analysis, and the integration of remote sensing and spatial analysis. The selected contributions also demonstrate and discuss various sophisticated applications in utilizing remote sensing, geospatial data, and technologies to address different environmental and societal issues. Readers should find the Special Issue enlightening and insightful for understanding state-of-the-art remote sensing and spatial information science research, development and applications. View Full-Text
MDPI and ACS Style

Tsai, F.; Lin, C.-H.; Chen, W.W.; Jaw, J.-J.; Tseng, K.-H. Editorial for the Special Issue on Selected Papers from the “2019 International Symposium on Remote Sensing”. Remote Sens. 2020, 12, 1947.

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