Nima Pahlevan is a remote sensing scientist with Science Systems and Applications Inc. (SSAI) at the Terrestrial Information Systems Lab of NASA Goddard Space Flight Center (GSFC). Formerly had been trained in geospatial engineering and remote sensing, Dr. Pahlevan earned a Ph.D. in Imaging Science from the Rochester Institute of Technology (RIT). Prior to joining GSFC in 2014, Dr. Pahlevan finished a two-year postdoctoral term working on in situ and satellite-based ocean color measurements at the University of Massachusetts Boston. His main area of research lies within the aquatic remote sensing domain with a focus on algorithm developments, atmospheric correction, calibration/validation, impacts of climate variability on water resources, harmful algal blooms (HABs), and relevant applied science practices. Dr. Pahlevan is a member of Landsat, PACE, and Terra/Aqua/SNPP Science Teams, participates in GEO AquaWatch activities, and contributes to the Surface Biology Geology (SBG) pre-formulation studies.
My team's primary focus is developing novel machine-learning models to generate globally robust aquatic science products (e.g., water quality indicators) from multispectral and hyperspectral instruments. Our overarching goal is to deliver seamless products to end-users (e.g., aquatic scientists, water resource managers) to enable large-scale studies, and monitoring, of aquatic ecosystems. We closely collaborate with national and international partners to validate our products at a global scale.
Our developed models/codes are accessible via https://github.com/STREAM-RS/STREAM-RS
Aqautic remote sensing
Atmospheric correction and retrieval of in-water optical properties in inland and nearshore coastal waters
Machine learning
Neural networks, mixture density networks, isolation forest, anomaly detection
Calibration/Validation of Earth-observing Optical Systems
Inter-sensor comparison, vicarious calibration
Radiative Transfer Modeling
Atmosphere, water column
Applied Sciences
Building a near-real-time water quality monitoring system
Optical/thermal remote sensing
Multispectral and hyperspectral sensing
- Ph.D., Imaging Science, Rochester Institute of Technology (RIT), Rochester, NY, Feb. 2012
- M.S., Remote Sensing, Khaje-Nasir Toosi University (KNTU), Tehran, Iran, Jan. 2006
- B.S., Geomatics Eng., Khaje-Nasir Toosi University (KNTU), Tehran, Iran, Sep. 2003
5/2014
-
Present
Research Scientist
NASA Goddard Space Flight Center (through SSAI),
NASA Goddard Space Flight Center Principal scientist on several projects aiming at improving and fostering satellite-derived water quality products
7/2016
-
Present
Adjunct Faculty
University of Maryland,
College Park, MD Supervise students and postdoctoral scholars on research leading to improvements in satellite-derived aquatic science products
3/2012
-
5/2014
Postdoctoral Fellow
University of Massachusetts Boston,
Boston, MA Conduct ocean color/optics research, sensitivity analyses, sensor cross-calibration, research cruises
6/2009
-
2/2012
Research Assistant
Rochester Institute of Technology,
Rochester, NY Analyze utility of new generation of Landsat missions for coastal/inland water studies, sensor cross-calibration, performance of coastal hydrodynamic models using Lanasat data
7/2007
-
8/2008
Research Assistant
Durham University,
Durham, UK Develop algorithms for processing LiDAR data
3/2006
-
8/2007
Lecturer
Azad Univeristy,
Tehran, Iran Teach remote sensing, photogrammetry, GIS, and ground surveying
3/2006
-
8/2007
Remote Sensing Consultant
Department of Environment,
Tehran, Iran Perform change detection analyses for coral reef habitats in Persian Gulf
AERONET-OC: Validating satellite-derived reflectance products in inland waters
We have established three autonomous radiometers at three locations, including Lake Okeechobee (FL), Green Bay (WI), and Grizzly Bay (CA). This effort is part of the AERONET-OC network (https://aeronet.gsfc.nasa.gov) and funded by the Landsat-8 project science.
Satellite-based analysis Tool for Rapid Evaluation of Aquatic environMents (STREAM)
Providing Landsat and Sentinel-2 water quality products to end-users in near-real-time via a user-friendly web interface
07/31/2022 -
07/30/2025
ROSES 2021: Remote Sensing of Water Quality,
NASA, NASA NRA #: NNH21ZDA001N-RSWQ
Algorithm developments for synergistic use of water quality products from multispectral and hyperspectral satellite observations
;
PI
10/31/2021 -
10/30/2024
ROSES 2020: Science of Terra, Aqua, and SNPP,
NASA , NASA NRA #: NNH20ZDA001N-TASNPP
Using MODIS, VIIRS, ASTER, and other Remote-Sensing Data Products to Assess the Status and Fate of Terminal Lakes in the Great Basin of the Western U.S.
;
Co-I
10/01/2021 -
09/30/2024
ROSES 2020: Minority University Research and Education Program,
NASA, NASA NRA #: NNH21ZHA001NRA-OCEAN
Using Hyperspectral Imagery to Assess the Effects of Warming on New England Kelp Forests
;
Co-I
03/31/2021 -
03/30/2024
ROSES 2020: Ocean Biology and Biogeochemistry ,
NASA, NASA NRA #: NNH20ZDA001N-OBB
A hyperspectral retrieval scheme for Surface Biology and Geology (SBG) Designated Observables (DOs) in optically complex waters
;
PI
10/01/2020 -
09/30/2023
ROSES 2019: PACE Science and Application Team,
NASA, NASA NRA #: NNH19ZDA001N-PACEST
Maximizing utility of PACE in coastal and major freshwater ecosystems: Advancing science for societal benefits
;
PI
12/22/2017 -
12/21/2022
Landsat Science Team (2018-2022),
United States Geological Survey
Landsat-Sentinel-2 constellation for monitoring aquatic systems across the United States
;
PI
08/15/2019 -
08/14/2022
ROSES 2016: Remote Sensing of Water Quality,
NASA, NASA NRA #: NNH16ZDA001N
Improving NASA's atmospheric correction using historic aerosol/ocean color data
;
PI
05/02/2016 -
05/01/2019
ROSES 2015: New Investigator Program,
NASA, NASA NRA #: NNX16AI16G
Arctic aQUatic Ecosystem monitoring using moderate-resoLution Ocean color products (AQUELO)
;
PI
02/01/2015 -
01/31/2017
MIT Sea Grant ,
NOAA
Satellite Monitoring of Boston Harbor Water Quality: Past and Future
;
Co-PI
04/30/2015 -
04/30/2018
GEO-CAPE Mission Concept Studies ,
Geo-CAPE Program, NASA HQ
Optimization of Geo-CAPE Science-Instrument Requirements:Learning from GOCI observations, KORUS-OC data, and Simulations
;
PI
- Served on several NASA Earth Science review panels
- Served as panelists on multiple international space agency's remote sensing review programs
- Co-chaired/-organized several national/international workshops and conference sessions
- Mentored several students, interns, and junior researchers
- Trained international water resource managers on utilizing satellite products for water-quality monitoring
- Co-led a CEOS-approved round-robin exercise on atmospheric correction of Landsat/Sentinel-2 imagery
- Led a community-wide data-sharing initiative for enhancing global remote sensing of water quality
- Served as Guest Editor for remote sensing journals
- Served as a reviewer for several remote sensing journals
- NASA Robert H. Goddard's Award for Science (2019)
- NASA's New Investigator Program (NIP) Award (2015)
- BAE Systems Award for best student paper in the Annual ASPRS conference (2012)
- Student of the Year Award from Central New York Region of the ASPRS (2011)
- Don Rennie Memorial Award from the Great Lakes Research Consortium Annual Meeting (2011)
- Alexander Goetz Instrument from ASD Inc. and IGARSS (2010)
- Gwendolyn Wilkinson Fund, Durham University (2007)
Refereed
Lehmann, M. K., D. Gurlin, N. Pahlevan, et al. 2023. "GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality."
Scientific Data,
10
(1):
100
[10.1038/s41597-023-01973-y]
Saranathan, A. M., B. Smith, and N. Pahlevan. 2023. "Per-pixel uncertainty quantification and reporting for satellite-derived chlorophyll-a estimates via mixture density networks."
IEEE Transactions on Geoscience and Remote Sensing,
61:
1-18
[10.1109/tgrs.2023.3234465]
Zolfaghari, K., N. Pahlevan, S. G. Simis, R. E. O'Shea, and C. R. Duguay. 2022. "Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction."
Journal of Great Lakes Research,
[10.1016/j.jglr.2022.12.010]
Barreneche, J., B. Guigou, F. Gallego, et al. 2022. "Monitoring Uruguay’s freshwaters from space: An assessment of different satellite image processing schemes for chlorophyll-a estimation."
Remote Sensing Applications: Society and Environment,
100891
[10.1016/j.rsase.2022.100891]
Cao, Z., R. Ma, N. Pahlevan, et al. 2022. "Evaluating and optimizing VIIRS retrievals of chlorophyll-a and suspended particulate matter in turbid lakes using a machine learning approach."
IEEE Transactions on Geoscience and Remote Sensing,
1-1
[10.1109/tgrs.2022.3220529]
Pahlevan, N., S. Greb, and A. Dekker. 2022. "Earth Observation in Support of SDG 6.3. 2/6.6.1: Reporting Surface Water Quality. In Earth Observation Applications and Global Policy Frameworks (eds A. Kavvada, D. Cripe and L. Friedl).
."
Willey ,
Hoboken:
ISBN: 978-1-119-53676-5.
[Full Text (Link)]
[10.1002/9781119536789.ch4]
Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. 2022. "Fifty years of Landsat science and impacts."
Remote Sensing of Environment,
280:
113195
[10.1016/j.rse.2022.113195]
Montes, M., N. Pahlevan, D. M. Giles, et al. 2022. "Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters."
Frontiers in Remote Sensing,
3:
[10.3389/frsen.2022.860816]
Pahlevan, N., B. Smith, K. Alikas, et al. 2022. "Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3."
Remote Sensing of Environment,
270:
112860
[10.1016/j.rse.2021.112860]
O'Shea, R. E., N. Pahlevan, B. Smith, et al. 2021. "Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery."
Remote Sensing of Environment,
266:
112693
[10.1016/j.rse.2021.112693]
Zolfaghari, K., N. Pahlevan, C. Binding, et al. 2021. "Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment."
IEEE Transactions on Geoscience and Remote Sensing,
1-20
[10.1109/tgrs.2021.3114635]
El Serafy, G. Y., B. A. Schaeffer, M.-B. Neely, et al. 2021. "Integrating Inland and Coastal Water Quality Data for Actionable Knowledge."
Remote Sensing,
13
(15):
2899
[10.3390/rs13152899]
Barnes, B. B., C. Hu, S. W. Bailey, N. Pahlevan, and B. A. Franz. 2021. "Cross-calibration of MODIS and VIIRS long near infrared bands for ocean color science and applications."
Remote Sensing of Environment,
260:
112439
[10.1016/j.rse.2021.112439]
Jiang, D., B. Matsushita, N. Pahlevan, et al. 2021. "Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method."
Remote Sensing of Environment,
258:
112386
[10.1016/j.rse.2021.112386]
Pahlevan, N., A. Mangin, S. V. Balasubramanian, et al. 2021. "ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters."
Remote Sensing of Environment,
258:
112366
[10.1016/j.rse.2021.112366]
Cawse-Nicholson, K., P. A. Townsend, D. Schimel, et al. 2021. "NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms."
Remote Sensing of Environment,
257:
112349
[10.1016/j.rse.2021.112349]
Smith, B., N. Pahlevan, J. Schalles, et al. 2021. "A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks."
Frontiers in Remote Sensing,
1
(5):
[10.3389/frsen.2020.623678]
Pahlevan, N., B. Smith, C. Binding, et al. 2021. "Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters."
Remote Sensing of Environment,
253:
112200
[https://doi.org/10.1016/j.rse.2020.112200]
Cao, Z., R. Ma, H. Duan, et al. 2020. "A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes."
Remote Sensing of Environment,
248:
111974
[10.1016/j.rse.2020.111974]
Balasubramanian, S. V., N. Pahlevan, B. Smith, et al. 2020. "Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters."
Remote Sensing of Environment,
246:
111768
[10.1016/j.rse.2020.111768]
Hakimdavar, R., A. Hubbard, F. Policelli, et al. 2020. "Monitoring Water-Related Ecosystems with Earth Observation Data in Support of Sustainable Development Goal (SDG) 6 Reporting."
Remote Sensing,
12
(10):
1634
[10.3390/rs12101634]
Pahlevan, N., B. Smith, J. Schalles, et al. 2020. "Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach."
Remote Sensing of Environment,
111604
[10.1016/j.rse.2019.111604]
Ho, J. C., A. M. Michalak, and N. Pahlevan. 2019. "Widespread global increase in intense lake phytoplankton blooms since the 1980s."
Nature,
[10.1038/s41586-019-1648-7]
Wulder, M. A., T. R. Loveland, D. P. Roy, et al. 2019. "Current status of Landsat program, science, and applications."
Remote Sensing of Environment,
225:
127-147
[10.1016/j.rse.2019.02.015]
Zhu, Z., M. A. Wulder, D. P. Roy, et al. 2019. "Benefits of the free and open Landsat data policy."
Remote Sensing of Environment,
224:
382-385
[10.1016/j.rse.2019.02.016]
Kuhn, C., A. de Matos Valerio, N. Ward, et al. 2019. "Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity."
Remote Sensing of Environment,
224:
104-118
[10.1016/j.rse.2019.01.023]
Ilori, C., N. Pahlevan, and A. Knudby. 2019. "Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing."
Remote Sensing,
11
(4):
469
[10.3390/rs11040469]
Niroumand-Jadidi, M., N. Pahlevan, and A. Vitti. 2019. "Mapping Substrate Types and Compositions in Shallow Streams."
Remote Sensing,
11
(3):
262
[10.3390/rs11030262]
Pahlevan, N., S. K. Chittimalli, S. V. Balasubramanian, and V. Vellucci. 2019. "Sentinel-2/Landsat-8 product consistency and implications for monitoring aquatic systems."
Remote Sensing of Environment,
220:
19-29
[10.1016/j.rse.2018.10.027]
Pham, Q., N. Ha, N. Pahlevan, et al. 2018. "Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam)."
Remote Sensing,
10
(11):
1841
[10.3390/rs10111841]
Helder, D., B. Markham, R. Morfitt, et al. 2018. "Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability."
Remote Sensing,
10
(9):
1340
[10.3390/rs10091340]
Pahlevan, N., S. Balasubramanian, S. Sarkar, and B. Franz. 2018. "Toward Long-Term Aquatic Science Products from Heritage Landsat Missions."
Remote Sensing,
10
(9):
1337
[10.3390/rs10091337]
Muller-Karger, F. E., E. Hestir, C. Ade, et al. 2018. "Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems."
Ecological Applications,
28
(3):
749-760
[10.1002/eap.1682]
Doxani, G., E. Vermote, J.-C. Roger, et al. 2018. "Atmospheric Correction Inter-Comparison Exercise."
Remote Sensing,
10
(3):
352
[10.3390/rs10020352]
Pahlevan, N., B. Smith, C. Binding, and D. M. O’Donnell. 2017. "Spectral band adjustments for remote sensing reflectance spectra in coastal/inland waters."
Optics Express,
25
(23):
28650
[10.1364/oe.25.028650]
Pahlevan, N., S. Sarkar, B. A. Franz, S. Velaudhaperumal Balasubramanian, and J. He. 2017. "Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations."
Remote Sensing of Environment,
201:
47-56
[10.1016/j.rse.2017.08.033]
Pahlevan, N., J.-C. Roger, and Z. Ahmad. 2017. "Revisiting short-wave-infrared (SWIR) bands for atmospheric correction in coastal waters."
Opt. Express,
25
(6):
6015--6035.
Pahlevan, N., J. R. Schott, B. A. Franz, et al. 2017. "Landsat 8 remote sensing reflectance (Rrs) products: Evaluations, intercomparisons, and enhancements."
Remote Sensing of Environment,
190:
289-301
[10.1016/j.rse.2016.12.030]
Pahlevan, N., S. Sarkar, S. Devadiga, et al. 2017. "Impact of Spatial Sampling on Continuity of MODIS–VIIRS Land Surface Reflectance Products: A Simulation Approach."
IEEE Transactions on Geoscience and Remote Sensing,
55
(1):
183-196
[10.1109/tgrs.2016.2604214]
Pahlevan, N., S. Sarkar, and B. A. Franz. 2016. "Uncertainties in coastal ocean color products: Impacts of spatial sampling."
Remote Sensing of Environment,
181:
14-26
[10.1016/j.rse.2016.03.022]
Wei, J., Z. Lee, M. Lewis, et al. 2015. "Radiance transmittance measured at the ocean surface
."
Optics Express,
23
(9):
11826-11837
[10.1364/OE.23.011826]
Pahlevan, N., Z. Lee, J. Wei, et al. 2014. "On-Orbit Radiometric Characterization of OLI (Landsat 8) for Applications in Aquatic Remote Sensing ."
Remote Sensing of Environment,
154:
272–284
[10.1016/j.rse.2014.08.001]
Pahlevan, N., Z. Lee, C. Hu, and J. Schott. 2014. "Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events."
Applied Optics,
53
(4):
648-665
[10.1364/AO.53.000648]
Lee, Z., N. Pahlevan, Y. Ahn, S. Greb, and D. O’Donnell. 2013. "Robust approach to directly measuring water-leaving radiance in the field."
Applied Optics,
52
(8):
1693-1701
[10.1364/AO.52.001693]
Pahlevan, N., and J. Schott. 2013. "Leveraging EO-1 to Evaluate Capability of New Generation of Landsat Sensors for Coastal/Inland Water Studies."
IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing,
6
(2):
360-374
[10.1109/JSTARS.2012.2235174]
Pahlevan, N., A. Gerace, A. Garret, and J. Schott. 2012. "Integrating Landsat-7 Imagery with Physics-based Models for Quantitative Mapping of Coastal Waters near River Discharges."
Photogrammetric Engineering & Remote Sensing,
78
(11):
1163-1174
[10.14358/PERS.78.11.1163]
Lee, Z., M. Jia, C. Daviss, N. Pahlevan, and R. Ma. 2012. "Impact of multiple satellite ocean color samplings in a day on assessing phytoplankton dynamics."
Ocean Sci. J.,
47
(3):
323-329
[10.1007/s12601-012-0031-5]
Pahlevan, N., and J. Schott. 2012. "Characterizing the Relative Calibration of Landsat-7’s Visible Bands with Terra-MODIS over Clear Waters: The Implications for Monitoring Water Resources."
Remote Sensing of Environment ,
125:
167-180
[10.1016/j.rse.2012.07.013]
Non-Refereed
Wei, J., Z. Lee, N. Pahlevan, and M. Lewis. 2014. "Transmittance of upwelling radiance at the sea surface measured in the field."
Proc. SPIE, Ocean Remote Sensing and Monitoring from Space
9261:
926105
[10.1117/12.2073431]
Pahlevan, N., J. Wei, C. Schaaf, and J. Schott. 2014. "Evaluating Radiometric Sensitivity of Landsat 8 over Coastal/Inland Waters."
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Quebec City, Quebec, Canada: 1393 - 1396
[10.1109/IGARSS.2014.6946695]
Pahlevan, N., Z. Lee, A. Lawson, and R. Arnone. 2013. "Scene-based cross-comparison of SNPP-VIIRS and Aqua-MODIS over oceanic waters."
Proc. SPIE 8866, Earth Observing Systems XVIII
8866:
San Diego, California, United States: 88660J
[10.1117/12.2023423]
Pahlevan, N., Z. Lee, Z. Hu, and J. Schott. 2013. "Analyzing Radiometric Requirements for Diurnal Observations of Coastal/Oceanic Waters from Geo-stationary Orbits."
Proc. SPIE 8724, Ocean Sensing and Monitoring V
8724
(87240K):
Baltimore, Maryland, United States:
[10.1117/12.2016279]
Pahlevan, N., Z. Lee, R. Arnone, and A. Lawson. 2013. "Investigating the Consistency between VIIRS and MODIS over the Oceans: The Sensor/Environmental Data Records (SDR/EDR)."
Austin, Texas, United States :
Pahlevan, N., N. Raqueno, and J. Schott. 2012. "Cross-calibration of Landsat-7's visible-near-infrared bands with Terra-MODIS over dark waters."
Proc. SPIE 8372, Ocean Sensing and Monitoring IV
8732:
873210
[10.1117/12.919161]
Schott, J., A. Gerace, and N. Pahlevan. 2012. "The Impact of Land Processes on Fresh and Coastal Waters, prepared for LDCM."
Pahlevan, N., and J. Schott. 2011. "Investigating the Potential of the Operational Land Imager (OLI) for Monitoring Case II Waters Using a Look-Up-Table Approach."
Pecora 18-Forty Years of Earth Observation...Understanding a Changing World
Pahlevan, N., A. Gerace, and J. Schott. 2011. "Using thermal remote sensing as a tool for calibrating a hydrodynamic model in inland waters."
Proc. SPIE 8030, Ocean Sensing and Monitoring III
8030:
Orlando, Florida, United States: 80300I
[10.1117/12.887212]
Pahlevan, N., A. Alimohammadi, and M. Valadanzoej. 2006. "A Quantitative Comparison to Water Column Correction Techniques in Marine Environments Using High Spatial Resolution Data."
ISPRS Proceedings: From Pixels to Process
Refereed
Lehmann, M. K., D. Gurlin, N. Pahlevan, et al. 2023. "GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality."
Scientific Data
10
(1):
100
[10.1038/s41597-023-01973-y]
Saranathan, A. M., B. Smith, and N. Pahlevan. 2023. "Per-pixel uncertainty quantification and reporting for satellite-derived chlorophyll-a estimates via mixture density networks."
IEEE Transactions on Geoscience and Remote Sensing
61
1-18
[10.1109/tgrs.2023.3234465]
Zolfaghari, K., N. Pahlevan, S. G. Simis, R. E. O'Shea, and C. R. Duguay. 2022. "Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction."
Journal of Great Lakes Research
[10.1016/j.jglr.2022.12.010]
Barreneche, J., B. Guigou, F. Gallego, et al. 2022. "Monitoring Uruguay’s freshwaters from space: An assessment of different satellite image processing schemes for chlorophyll-a estimation."
Remote Sensing Applications: Society and Environment
100891
[10.1016/j.rsase.2022.100891]
Cao, Z., R. Ma, N. Pahlevan, et al. 2022. "Evaluating and optimizing VIIRS retrievals of chlorophyll-a and suspended particulate matter in turbid lakes using a machine learning approach."
IEEE Transactions on Geoscience and Remote Sensing
1-1
[10.1109/tgrs.2022.3220529]
Pahlevan, N., S. Greb, and A. Dekker. 2022. "Earth Observation in Support of SDG 6.3. 2/6.6.1: Reporting Surface Water Quality. In Earth Observation Applications and Global Policy Frameworks (eds A. Kavvada, D. Cripe and L. Friedl).
."
Willey
[Full Text (Link)]
[10.1002/9781119536789.ch4]
Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. 2022. "Fifty years of Landsat science and impacts."
Remote Sensing of Environment
280
113195
[10.1016/j.rse.2022.113195]
Montes, M., N. Pahlevan, D. M. Giles, et al. 2022. "Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters."
Frontiers in Remote Sensing
3
[10.3389/frsen.2022.860816]
Pahlevan, N., B. Smith, K. Alikas, et al. 2022. "Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3."
Remote Sensing of Environment
270
112860
[10.1016/j.rse.2021.112860]
O'Shea, R. E., N. Pahlevan, B. Smith, et al. 2021. "Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery."
Remote Sensing of Environment
266
112693
[10.1016/j.rse.2021.112693]
Zolfaghari, K., N. Pahlevan, C. Binding, et al. 2021. "Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment."
IEEE Transactions on Geoscience and Remote Sensing
1-20
[10.1109/tgrs.2021.3114635]
El Serafy, G. Y., B. A. Schaeffer, M.-B. Neely, et al. 2021. "Integrating Inland and Coastal Water Quality Data for Actionable Knowledge."
Remote Sensing
13
(15):
2899
[10.3390/rs13152899]
Barnes, B. B., C. Hu, S. W. Bailey, N. Pahlevan, and B. A. Franz. 2021. "Cross-calibration of MODIS and VIIRS long near infrared bands for ocean color science and applications."
Remote Sensing of Environment
260
112439
[10.1016/j.rse.2021.112439]
Jiang, D., B. Matsushita, N. Pahlevan, et al. 2021. "Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method."
Remote Sensing of Environment
258
112386
[10.1016/j.rse.2021.112386]
Pahlevan, N., A. Mangin, S. V. Balasubramanian, et al. 2021. "ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters."
Remote Sensing of Environment
258
112366
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Cawse-Nicholson, K., P. A. Townsend, D. Schimel, et al. 2021. "NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms."
Remote Sensing of Environment
257
112349
[10.1016/j.rse.2021.112349]
Smith, B., N. Pahlevan, J. Schalles, et al. 2021. "A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks."
Frontiers in Remote Sensing
1
(5):
[10.3389/frsen.2020.623678]
Pahlevan, N., B. Smith, C. Binding, et al. 2021. "Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters."
Remote Sensing of Environment
253
112200
[https://doi.org/10.1016/j.rse.2020.112200]
Cao, Z., R. Ma, H. Duan, et al. 2020. "A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes."
Remote Sensing of Environment
248
111974
[10.1016/j.rse.2020.111974]
Balasubramanian, S. V., N. Pahlevan, B. Smith, et al. 2020. "Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters."
Remote Sensing of Environment
246
111768
[10.1016/j.rse.2020.111768]
Hakimdavar, R., A. Hubbard, F. Policelli, et al. 2020. "Monitoring Water-Related Ecosystems with Earth Observation Data in Support of Sustainable Development Goal (SDG) 6 Reporting."
Remote Sensing
12
(10):
1634
[10.3390/rs12101634]
Pahlevan, N., B. Smith, J. Schalles, et al. 2020. "Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach."
Remote Sensing of Environment
111604
[10.1016/j.rse.2019.111604]
Ho, J. C., A. M. Michalak, and N. Pahlevan. 2019. "Widespread global increase in intense lake phytoplankton blooms since the 1980s."
Nature
[10.1038/s41586-019-1648-7]
Wulder, M. A., T. R. Loveland, D. P. Roy, et al. 2019. "Current status of Landsat program, science, and applications."
Remote Sensing of Environment
225
127-147
[10.1016/j.rse.2019.02.015]
Zhu, Z., M. A. Wulder, D. P. Roy, et al. 2019. "Benefits of the free and open Landsat data policy."
Remote Sensing of Environment
224
382-385
[10.1016/j.rse.2019.02.016]
Kuhn, C., A. de Matos Valerio, N. Ward, et al. 2019. "Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity."
Remote Sensing of Environment
224
104-118
[10.1016/j.rse.2019.01.023]
Ilori, C., N. Pahlevan, and A. Knudby. 2019. "Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing."
Remote Sensing
11
(4):
469
[10.3390/rs11040469]
Niroumand-Jadidi, M., N. Pahlevan, and A. Vitti. 2019. "Mapping Substrate Types and Compositions in Shallow Streams."
Remote Sensing
11
(3):
262
[10.3390/rs11030262]
Pahlevan, N., S. K. Chittimalli, S. V. Balasubramanian, and V. Vellucci. 2019. "Sentinel-2/Landsat-8 product consistency and implications for monitoring aquatic systems."
Remote Sensing of Environment
220
19-29
[10.1016/j.rse.2018.10.027]
Pham, Q., N. Ha, N. Pahlevan, et al. 2018. "Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam)."
Remote Sensing
10
(11):
1841
[10.3390/rs10111841]
Helder, D., B. Markham, R. Morfitt, et al. 2018. "Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability."
Remote Sensing
10
(9):
1340
[10.3390/rs10091340]
Pahlevan, N., S. Balasubramanian, S. Sarkar, and B. Franz. 2018. "Toward Long-Term Aquatic Science Products from Heritage Landsat Missions."
Remote Sensing
10
(9):
1337
[10.3390/rs10091337]
Muller-Karger, F. E., E. Hestir, C. Ade, et al. 2018. "Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems."
Ecological Applications
28
(3):
749-760
[10.1002/eap.1682]
Doxani, G., E. Vermote, J.-C. Roger, et al. 2018. "Atmospheric Correction Inter-Comparison Exercise."
Remote Sensing
10
(3):
352
[10.3390/rs10020352]
Pahlevan, N., B. Smith, C. Binding, and D. M. O’Donnell. 2017. "Spectral band adjustments for remote sensing reflectance spectra in coastal/inland waters."
Optics Express
25
(23):
28650
[10.1364/oe.25.028650]
Pahlevan, N., S. Sarkar, B. A. Franz, S. Velaudhaperumal Balasubramanian, and J. He. 2017. "Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations."
Remote Sensing of Environment
201
47-56
[10.1016/j.rse.2017.08.033]
Pahlevan, N., J.-C. Roger, and Z. Ahmad. 2017. "Revisiting short-wave-infrared (SWIR) bands for atmospheric correction in coastal waters."
Opt. Express
25
(6):
6015--6035
Pahlevan, N., J. R. Schott, B. A. Franz, et al. 2017. "Landsat 8 remote sensing reflectance (Rrs) products: Evaluations, intercomparisons, and enhancements."
Remote Sensing of Environment
190
289-301
[10.1016/j.rse.2016.12.030]
Pahlevan, N., S. Sarkar, S. Devadiga, et al. 2017. "Impact of Spatial Sampling on Continuity of MODIS–VIIRS Land Surface Reflectance Products: A Simulation Approach."
IEEE Transactions on Geoscience and Remote Sensing
55
(1):
183-196
[10.1109/tgrs.2016.2604214]
Pahlevan, N., S. Sarkar, and B. A. Franz. 2016. "Uncertainties in coastal ocean color products: Impacts of spatial sampling."
Remote Sensing of Environment
181
14-26
[10.1016/j.rse.2016.03.022]
Wei, J., Z. Lee, M. Lewis, et al. 2015. "Radiance transmittance measured at the ocean surface
."
Optics Express
23
(9):
11826-11837
[10.1364/OE.23.011826]
Pahlevan, N., Z. Lee, J. Wei, et al. 2014. "On-Orbit Radiometric Characterization of OLI (Landsat 8) for Applications in Aquatic Remote Sensing ."
Remote Sensing of Environment
154
272–284
[10.1016/j.rse.2014.08.001]
Pahlevan, N., Z. Lee, C. Hu, and J. Schott. 2014. "Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events."
Applied Optics
53
(4):
648-665
[10.1364/AO.53.000648]
Lee, Z., N. Pahlevan, Y. Ahn, S. Greb, and D. O’Donnell. 2013. "Robust approach to directly measuring water-leaving radiance in the field."
Applied Optics
52
(8):
1693-1701
[10.1364/AO.52.001693]
Pahlevan, N., and J. Schott. 2013. "Leveraging EO-1 to Evaluate Capability of New Generation of Landsat Sensors for Coastal/Inland Water Studies."
IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing
6
(2):
360-374
[10.1109/JSTARS.2012.2235174]
Pahlevan, N., A. Gerace, A. Garret, and J. Schott. 2012. "Integrating Landsat-7 Imagery with Physics-based Models for Quantitative Mapping of Coastal Waters near River Discharges."
Photogrammetric Engineering & Remote Sensing
78
(11):
1163-1174
[10.14358/PERS.78.11.1163]
Lee, Z., M. Jia, C. Daviss, N. Pahlevan, and R. Ma. 2012. "Impact of multiple satellite ocean color samplings in a day on assessing phytoplankton dynamics."
Ocean Sci. J.
47
(3):
323-329
[10.1007/s12601-012-0031-5]
Pahlevan, N., and J. Schott. 2012. "Characterizing the Relative Calibration of Landsat-7’s Visible Bands with Terra-MODIS over Clear Waters: The Implications for Monitoring Water Resources."
Remote Sensing of Environment
125
167-180
[10.1016/j.rse.2012.07.013]
Non-Refereed
Wei, J., Z. Lee, N. Pahlevan, and M. Lewis. 2014. "Transmittance of upwelling radiance at the sea surface measured in the field."
Proc. SPIE, Ocean Remote Sensing and Monitoring from Space
9261
926105
[10.1117/12.2073431]
Pahlevan, N., J. Wei, C. Schaaf, and J. Schott. 2014. "Evaluating Radiometric Sensitivity of Landsat 8 over Coastal/Inland Waters."
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
1393 - 1396
[10.1109/IGARSS.2014.6946695]
Pahlevan, N., Z. Lee, A. Lawson, and R. Arnone. 2013. "Scene-based cross-comparison of SNPP-VIIRS and Aqua-MODIS over oceanic waters."
Proc. SPIE 8866, Earth Observing Systems XVIII
8866
88660J
[10.1117/12.2023423]
Pahlevan, N., Z. Lee, Z. Hu, and J. Schott. 2013. "Analyzing Radiometric Requirements for Diurnal Observations of Coastal/Oceanic Waters from Geo-stationary Orbits."
Proc. SPIE 8724, Ocean Sensing and Monitoring V
8724
(87240K):
[10.1117/12.2016279]
Pahlevan, N., Z. Lee, R. Arnone, and A. Lawson. 2013. "Investigating the Consistency between VIIRS and MODIS over the Oceans: The Sensor/Environmental Data Records (SDR/EDR)."
Pahlevan, N., N. Raqueno, and J. Schott. 2012. "Cross-calibration of Landsat-7's visible-near-infrared bands with Terra-MODIS over dark waters."
Proc. SPIE 8372, Ocean Sensing and Monitoring IV
8732
873210
[10.1117/12.919161]
Schott, J., A. Gerace, and N. Pahlevan. 2012. "The Impact of Land Processes on Fresh and Coastal Waters, prepared for LDCM."
Pahlevan, N., and J. Schott. 2011. "Investigating the Potential of the Operational Land Imager (OLI) for Monitoring Case II Waters Using a Look-Up-Table Approach."
Pecora 18-Forty Years of Earth Observation...Understanding a Changing World
Pahlevan, N., A. Gerace, and J. Schott. 2011. "Using thermal remote sensing as a tool for calibrating a hydrodynamic model in inland waters."
Proc. SPIE 8030, Ocean Sensing and Monitoring III
8030
80300I
[10.1117/12.887212]
Pahlevan, N., A. Alimohammadi, and M. Valadanzoej. 2006. "A Quantitative Comparison to Water Column Correction Techniques in Marine Environments Using High Spatial Resolution Data."
ISPRS Proceedings: From Pixels to Process
