Dr. Ni-Bin Chang Profile

Dr. Ni-Bin Chang

Professor at Univ of Central Florida

SPIE Involvement:

Author | Editor

Publications (34)

Proceedings Article | 9 September 2019 Paper

Synthesis of multi-sensor top of atmosphere and ground level reflectances to support high-resolution AOD estimation with machine learning

Ni-Bin Chang, Xiaoli Wei, Kaixu Bai, Wei Gao

Proceedings Volume 11127, 1112707 (2019) https://doi.org/10.1117/12.2526782

KEYWORDS: Reflectivity, Earth observing sensors, Landsat, Data fusion, MODIS, Spatial resolution, Satellites, Aerosols

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Proceedings Article | 6 September 2019 Paper

Comparative analysis of data merging and fusion algorithms for the prediction of aerosol optical depth

Ni-Bin Chang, Xiaoli Wei, Kaixu Bai, Wei Gao

Proceedings Volume 11130, 1113007 (2019) https://doi.org/10.1117/12.2526790

KEYWORDS: Data fusion, Reflectivity, Earth observing sensors, Landsat, Satellites, Image fusion, MODIS, Aerosols, Satellite imaging

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Proceedings Article | 18 September 2018 Presentation

Ensemble learning of satellite remote sensing images via integrating deep and fast learning algorithms for water quality monitoring (Conference Presentation)

Ni-Bin Chang, Zhibin Sun, Wei Gao

Proceedings Volume 10767, 107670D (2018) https://doi.org/10.1117/12.2319432

KEYWORDS: Remote sensing, Satellite imaging, Earth observing sensors, Satellites, Image fusion, Feature extraction, Reconstruction algorithms, Statistical modeling, Temporal resolution

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Proceedings Article | 19 September 2017 Presentation

Deep and fast learning for feature extraction of merged or fused satellite remote sensing images to observe lake eutrophication (Conference Presentation)

Ni-Bin Chang

Proceedings Volume 10405, 1040509 (2017) https://doi.org/10.1117/12.2271987

KEYWORDS: Satellites, Satellite imaging, Remote sensing, Feature extraction, Earth observing sensors, Reconstruction algorithms, Reflectivity, MODIS, Ocean optics, Environmental monitoring

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In this presentation, two advanced feature extraction methods with fast and deep learning algorithms will be discussed for environmental monitoring in all-weather conditions with convergent and divergent thinking. One is the newly developed novel Spectral Information Adaptation and Synthesis Scheme (SIASS) and the other is the newly invented SMart Information Reconstruction (SMIR) method to support the Integrated Data Fusion and Mining (IDFM) research. Whereas the former is organized to generate cross-mission consistent ocean color reflectance by merging observations from several different satellites to recover the cloudy pixels, the latter is designed to reconstruct cloud contaminated pixel values from the time-space-spectrum continuum with the aid of a machine learning tool. For the purpose of demonstration, Lake Nicaragua located at Central America is selected as a study site which is a very cloudy area year round. In this case study, merging observations from MODIS-Terra, MODIS-Aqua, and VIIRS over Lake Nicaragua will be presented for the 2012-2015 time period. Then the performance of SMIR will be performed after the merging operation by reconstructing the missing remote sensing reflectance values derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite over Lake Nicaragua. The SIASS algorithm is proven to have the capability not only in eliminating incompatibilities for those matchup bands but also in reconstructing spectral information for those mismatching bands among sensors. For the recovery of those missing pixel values after merging three satellite images, experimental results from SMIR show that the extreme learning machine may perform well with simulated memory effect due to linking the complex time-space-spectrum continuum between cloud-free and cloudy pixels. Final water quality assessment will be generated based on the integrative algorithm of the two with bio-optical models for eutrophication assessment in Lake Nicaragua.

Proceedings Article | 1 September 2017 Presentation + Paper

Using input feature information to improve ultraviolet retrieval in neural networks

Zhibin Sun, Ni-Bin Chang, Wei Gao, Maosi Chen, Melina Zempila

Proceedings Volume 10405, 1040506 (2017) https://doi.org/10.1117/12.2274522

KEYWORDS: Feature extraction, Ultraviolet radiation, Neural networks

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SPIE Journal Paper | 29 March 2017 Open Access

Special Section Guest Editorial: Remote Sensing for Investigating the Coupled Biogeophysical and Biogeochemical Process of Harmful Algal Blooms

Ni-Bin Chang, Alan Weidemann

JARS, Vol. 11, Issue 01, 012001, (March 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.012001

KEYWORDS: Remote sensing, Synthetic aperture radar, Water, Environmental sensing, LIDAR, Unmanned aerial vehicles, Clouds, Image fusion, Satellites, Analytical research

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SPIE Journal Paper | 19 January 2016 Open Access

Editorial: Top Reviewers of 2015

Ni-Bin Chang

JARS, Vol. 10, Issue 01, 010101, (January 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.010101

KEYWORDS: Quantitative analysis, Civil engineering, Computer science, Physics, Remote sensing, Electrical engineering, Earth sciences, Ecology, Aerospace engineering

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Proceedings Article | 4 September 2015 Paper

Impacts of global non-leading teleconnection signals on terrestrial precipitation across the United States

N. Chang, S. Imen, K. Bai

Proceedings Volume 9610, 96100I (2015) https://doi.org/10.1117/12.2185607

KEYWORDS: Climatology, Wavelets, Atmospheric modeling, Climate change, Nonlinear optics, Statistical modeling, Statistical analysis, Meteorology, Surface plasmons, Information science

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Proceedings Article | 2 October 2014 Paper

Linkages between turbidity levels in Lake Mead associated forest fire events in the lower Virgin watershed

N. Chang , S. Imen, J. Yang

Proceedings Volume 9221, 92210D (2014) https://doi.org/10.1117/12.2053942

KEYWORDS: Image fusion, Water, Landsat, MODIS, Data fusion, Reflectivity, Remote sensing, Reliability, Satellites, Earth observing sensors

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Proceedings Article | 24 September 2013 Paper

Fusion of hyperspectral remote sensing data for near real-time monitoring of microcystin distribution in Lake Erie

Benjamin Vannah, Ni-Bin Chang

Proceedings Volume 8871, 88710M (2013) https://doi.org/10.1117/12.2026933

KEYWORDS: MODIS, Data modeling, Reflectivity, Image fusion, Data fusion, Satellites, Statistical modeling, Spatial resolution, Data acquisition, Remote sensing

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SPIE Journal Paper | 18 December 2012 Open Access

Special Section Guest Editorial: Guest Editorial: Advances in Remote Sensing for Monitoring Global Environmental Changes

Yuyu Zhou, Qihao Weng, Ni-Bin Chang

JARS, Vol. 6, Issue 01, 061799, (December 2012) https://doi.org/10.1117/12.10.1117/1.JRS.6.061799

KEYWORDS: Remote sensing, Environmental sensing, Environmental monitoring, Visualization, Climatology, Climate change, Analytical research, Image fusion, Image enhancement, Carbon

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SPIE Journal Paper | 18 December 2012 Open Access

Special Section Guest Editorial: Guest Editorial: Advances in Remote Sensing for Monitoring Global Environmental Changes

Yuyu Zhou, Qihao Weng, Ni-Bin Chang

JARS, Vol. 6, Issue 01, 061799, (December 2012) https://doi.org/10.1117/12.10.1117/1.JRS.6.061799

KEYWORDS: Remote sensing, Environmental sensing, Environmental monitoring, Visualization, Climatology, Climate change, Analytical research, Image fusion, Image enhancement, Carbon

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Proceedings Article | 24 October 2012 Paper

Monitoring the total organic carbon concentrations in a lake with the integrated data fusion and machine-learning (IDFM) technique

Ni-Bin Chang, Benjamin Vannah

Proceedings Volume 8513, 851307 (2012) https://doi.org/10.1117/12.927632

KEYWORDS: Landsat, MODIS, Data fusion, Image fusion, Data modeling, Reflectivity, Satellites, Image processing, Water, Earth observing sensors

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Proceedings Article | 24 October 2012 Paper

Cross wavelet analysis for retrieving climate teleconnection signals between sea surface temperature and forest greenness

Lee Mullon, Ni-Bin Chang, Jason Weiss

Proceedings Volume 8513, 85130A (2012) https://doi.org/10.1117/12.927631

KEYWORDS: Wavelets, Climatology, Vegetation, Statistical analysis, Continuous wavelet transforms, Temperature metrology, Remote sensing, Climate change, MODIS, Ecosystems

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SPIE Journal Paper | 12 September 2012

Enhanced algorithm based on persistent scatterer interferometry for the estimation of high-rate land subsidence

Zahra Sadeghi, Mohammad Valadan Zoej, Maryam Dehghani, Ni-Bin Chang

JARS, Vol. 6, Issue 01, 063573, (September 2012) https://doi.org/10.1117/12.10.1117/1.JRS.6.063573

KEYWORDS: Picosecond phenomena, Interferometry, Global Positioning System, Error analysis, Radar, Algorithm development, Interferometric synthetic aperture radar, Linear filtering, Phase interferometry, Nonlinear filtering

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Proceedings Article | 16 September 2011 Paper

MODIS-based spatiotemporal patterns of soil moisture and evapotranspiration interactions in Tampa Bay urban watershed

Ni-Bin Chang, Zhemin Xuan, Brent Wimberly

Proceedings Volume 8156, 815602 (2011) https://doi.org/10.1117/12.891870

KEYWORDS: Soil science, Data modeling, MODIS, Solar radiation models, Remote sensing, Vegetation, Satellites, Computer programming, Genetics, Ecosystems

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Proceedings Article | 16 September 2011 Paper

Exploring the nutrient inputs and cycles in Tampa Bay and coastal watersheds using MODIS images and data mining

Ni-Bin Chang, Zhemin Xuan

Proceedings Volume 8156, 81560C (2011) https://doi.org/10.1117/12.891871

KEYWORDS: MODIS, Water, Data modeling, Process modeling, Nitrogen, Remote sensing, Reflectivity, Phosphorus, Computer programming, Coastal modeling

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SPIE Journal Paper | 1 December 2010 Open Access

Guest Editorial: Remote Sensing for Coupled Natural Systems and Built Environments

Ni-Bin Chang

JARS, Vol. 4, Issue 01, 041899, (December 2010) https://doi.org/10.1117/12.10.1117/1.3528978

KEYWORDS: Remote sensing, Environmental sensing, Climate change, Environmental management, Lead, Current controlled current source

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SPIE Journal Paper | 1 November 2010

Using SPOT-VGT NDVI as a successive ecological indicator for understanding the environmental implications in the Tarim River Basin, China

Zhandong Sun, Ni-Bin Chang, Christian Opp

JARS, Vol. 4, Issue 01, 043554, (November 2010) https://doi.org/10.1117/12.10.1117/1.3518454

KEYWORDS: Vegetation, Climate change, Ecosystems, Soil science, Climatology, Agriculture, Environmental sensing, Near infrared, Sensors, Spatial resolution

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SPIE Journal Paper | 1 November 2010

Change detection of land use and land cover in an urban region with SPOT-5 images and partial Lanczos extreme learning machine

Ni-Bin Chang, Min Han, Wei Yao, Liang-Chien Chen, Shiguo Xu

JARS, Vol. 4, Issue 01, 043551, (November 2010) https://doi.org/10.1117/12.10.1117/1.3518096

KEYWORDS: Buildings, Remote sensing, Image classification, Roads, Evolutionary algorithms, Image resolution, Fuzzy logic, Neural networks, Image fusion, Near infrared

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Proceedings Article | 26 October 2010 Paper

Spatial and temporal characteristics of aridity conditions in Tarim Basin, China

Zhandong Sun, Ni-Bin Chang, Christian Opp, Thomas Hennig

Proceedings Volume 7831, 78311R (2010) https://doi.org/10.1117/12.864956

KEYWORDS: Soil science, MODIS, Vegetation, Artificial intelligence, Climatology, Ecosystems, Positron emission tomography, Geography, Spatial resolution, Environmental sensing

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Proceedings Article | 25 October 2010 Paper

Land use and land cover classification with SPOT-5 images and Partial Lanczos Extreme Learning Machine (PL-ELM)

Ni-Bin Chang, Min Han, Wei Yao, Liang-Chien Chen, Shiguo Xu

Proceedings Volume 7831, 783110 (2010) https://doi.org/10.1117/12.863827

KEYWORDS: Image classification, Buildings, Remote sensing, Image resolution, Image fusion, Near infrared, Roads, Feature extraction, Machine learning, Algorithm development

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SPIE Journal Paper | 1 October 2010

Comparative analyses of the ultraviolet-B flux over the continental United State based on the NASA total ozone mapping spectrometer data and USDA ground-based measurements

Zhiqiang Gao, Wei Gao, Ni-Bin Chang

JARS, Vol. 4, Issue 01, 043547, (October 2010) https://doi.org/10.1117/12.10.1117/1.3507249

KEYWORDS: Ozone, Aerosols, Ultraviolet radiation, Clouds, Spectroscopy, Agriculture, Associative arrays, Satellites, Statistical analysis, Sensors

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SPIE Journal Paper | 1 March 2010

Middle-term metropolitan water availability index assessment based on synergistic potentials of multi-sensor data

Ni-Bin Chang, Y. Jeffrey Yang, Ammarin Daranpob

JARS, Vol. 4, Issue 01, 043519, (March 2010) https://doi.org/10.1117/12.10.1117/1.3386582

KEYWORDS: Water, Remote sensing, Soil science, Satellites, MODIS, Radar, Data modeling, Statistical analysis, Vegetation, Earth observing sensors

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SPIE Journal Paper | 1 February 2010

Assessing the long-term urban heat island in San Antonio, Texas based on moderate resolution imaging spectroradiometer/Aqua data

Hongjie Xie, Ni-Bin Chang, Ammarin Daranpob, David Prado

JARS, Vol. 4, Issue 01, 043508, (February 2010) https://doi.org/10.1117/12.10.1117/1.3335611

KEYWORDS: MODIS, Clouds, Vegetation, Satellites, Temperature metrology, Spatial resolution, Climatology, Contamination, Climate change, Image resolution

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SPIE Journal Paper | 1 January 2010

Errata: Middle-term metropolitan water availability index assessment based on synergistic potential of multi-sensor data

Ni-Bin Chang, Y. Jeffrey Yang, Ammarin Daranpob

JARS, Vol. 4, Issue 01, 040102, (January 2010) https://doi.org/10.1117/12.10.1117/1.3442413

SPIE Journal Paper | 1 December 2009

Modeling the land surface heat exchange process with the aid of moderate resolution imaging spectroradiomer images

Zhiqiang Gao, Wenjiang Zhang, Wei Gao, Ni-Bin Chang

JARS, Vol. 3, Issue 01, 033573, (December 2009) https://doi.org/10.1117/12.10.1117/1.3290811

KEYWORDS: Data modeling, Heat flux, Vegetation, MODIS, Remote sensing, Solar radiation models, Satellites, Aerodynamics, Resistance, In situ remote sensing

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Proceedings Article | 7 October 2009 Paper

Fusion of multisource and multiscale remote sensing data for water availability assessment in a metropolitan region

N. Chang, Y. Yang, A. Daranpob

Proceedings Volume 7478, 74780F (2009) https://doi.org/10.1117/12.828552

KEYWORDS: Remote sensing, Soil science, Water, MODIS, Satellites, Data modeling, Radar, Data fusion, Statistical analysis, Earth observing sensors

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SPIE Journal Paper | 1 October 2009

Urban land use and land cover classification using the neural-fuzzy inference approach with Formosat-2 data

Ho-Wen Chen, Ni-Bin Chang, Ruey-Fang Yu, Yi-Wen Huang

JARS, Vol. 3, Issue 01, 033558, (October 2009) https://doi.org/10.1117/12.10.1117/1.3265995

KEYWORDS: Fuzzy logic, Near infrared, Satellites, Satellite imaging, Roads, Data mining, Image classification, Vegetation, Sensors, Earth observing sensors

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SPIE Journal Paper | 1 September 2009

Comparative data mining analysis for information retrieval of MODIS images: monitoring lake turbidity changes at Lake Okeechobee, Florida

Ni-Bin Chang, Ammarin Daranpob, Y. Jeffrey Yang, Kang-Ren Jin

JARS, Vol. 3, Issue 01, 033549, (September 2009) https://doi.org/10.1117/12.10.1117/1.3244644

KEYWORDS: Data modeling, MODIS, Performance modeling, Data mining, Statistical modeling, Genetics, Computer programming, Statistical analysis, Calibration, Earth observing sensors

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Proceedings Article | 21 August 2009 Paper

Monitoring the algal bloom event in Lake Okeechobee, Florida under Tropical Cyclone Fay impacts using MODIS/Terra images

Ammarin Daranpob, Ni-Bin Chang, Kang-Ren Jin, Y. Jeffrey Yang

Proceedings Volume 7454, 74540J (2009) https://doi.org/10.1117/12.824092

KEYWORDS: MODIS, Reflectivity, Calibration, Data modeling, Phosphorus, Remote sensing, Clouds, Absorption, Algorithm development, Performance modeling

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Proceedings Article | 21 August 2009 Paper

Heat island effect and urban storm events of San Antonio downtown area by MODIS/AQUA temperature sensor

Ammarin Daranpob, Ni-Bin Chang, Hongjie Xie

Proceedings Volume 7454, 74540E (2009) https://doi.org/10.1117/12.824093

KEYWORDS: MODIS, Clouds, Temperature metrology, Spatial resolution, Satellites, Reflectivity, Vegetation, Thermal effects, Spatial analysis, Temperature sensors

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Proceedings Article | 10 September 2008 Paper

Use of MODIS satellite images to investigate the chlorophyll-a concentrations in Lake Okeechobee, Florida

Ammarin Makkeasorn, Chi-Han Cheng, Ni-Bin Chang

Proceedings Volume 7083, 708309 (2008) https://doi.org/10.1117/12.802272

KEYWORDS: MODIS, Reflectivity, Satellites, Remote sensing, Data modeling, Calibration, Water, Satellite imaging, Earth observing sensors, Phosphorus

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Proceedings Article | 14 December 2004 Paper

Soil moisture detection using RADASAT corner-reflector-enhanced satellite imagery in a semi-arid watershed with complex terrain

Ammarin Drunpob, Ni-Bin Chang, Mark Beaman, Chris Wyatt, Charles Slater

Proceedings Volume 5584, (2004) https://doi.org/10.1117/12.578433

KEYWORDS: Soil science, Synthetic aperture radar, Reflectors, Satellites, Calibration, Data modeling, Chromium, Satellite imaging, Genetics, Computer programming

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Showing 5 of 34 publications

Proceedings Volume Editor (8)

SPIE Conference Volume | 12 November 2018

Remote Sensing and Modeling of Ecosystems for Sustainability XV

SPIE Conference Volume | 17 November 2017

Remote Sensing and Modeling of Ecosystems for Sustainability XIV

SPIE Conference Volume | 22 November 2016

Remote Sensing and Modeling of Ecosystems for Sustainability XIII

SPIE Conference Volume | 2 October 2015

Remote Sensing and Modeling of Ecosystems for Sustainability XII

SPIE Conference Volume | 17 October 2014

Remote Sensing and Modeling of Ecosystems for Sustainability XI

Showing 5 of 8 publications

Conference Committee Involvement (21)

Remote Sensing and Modeling of Ecosystems for Sustainability XV

22 August 2018 | San Diego, California, United States

Remote Sensing and Modeling of Ecosystems for Sustainability XIV

9 August 2017 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

27 September 2016 | Edinburgh, United Kingdom

Remote Sensing System Engineering VI

1 September 2016 | San Diego, California, United States

Remote Sensing and Modeling of Ecosystems for Sustainability XIII

31 August 2016 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

22 September 2015 | Toulouse, France

Remote Sensing and Modeling of Ecosystems for Sustainability XII

11 August 2015 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

23 September 2014 | Amsterdam, Netherlands

Remote Sensing and Modeling of Ecosystems for Sustainability XI

18 August 2014 | San Diego, California, United States

Remote Sensing System Engineering V

18 August 2014 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing X

8 May 2014 | Baltimore, MD, United States

Earth Resources and Environmental Remote Sensing/GIS Applications IV

23 September 2013 | Dresden, Germany

Remote Sensing and Modeling of Ecosystems for Sustainability X

27 August 2013 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing IX

26 August 2013 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

25 September 2012 | Edinburgh, United Kingdom

Remote Sensing and Modeling of Ecosystems for Sustainability IX

16 August 2012 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

20 September 2011 | Prague, Czech Republic

Remote Sensing and Modeling of Ecosystems for Sustainability VIII

23 August 2011 | San Diego, California, United States

Earth Resources and Environmental Remote Sensing/GIS Applications

21 September 2010 | Toulouse, France

Remote Sensing and Modeling of Ecosystems for Sustainability VII

3 August 2010 | San Diego, California, United States

Remote Sensing and Modeling of Ecosystems for Sustainability VI

5 August 2009 | San Diego, California, United States

Showing 5 of 21 Conference Committees

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