diff --git a/paper/paper.bib b/paper/paper.bib index 3b309101..d74a3dc6 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -1,7 +1,5 @@ - @ARTICLE{Wu2021, - title = "{Leafmap: A Python package for interactive mapping and geospatial - analysis with minimal coding in a Jupyter environment}", + title = "{Leafmap: A Python Package for Interactive Mapping and Geospatial Analysis with Minimal Coding in a Jupyter Environment}", author = "Wu, Qiusheng", journal = "Journal of Open Source Software", publisher = "joss.theoj.org", @@ -11,10 +9,9 @@ @ARTICLE{Wu2021 } @ARTICLE{Sullivan2019, - title = "{PyVista: 3D plotting and mesh analysis through a streamlined - interface for the Visualization Toolkit (VTK)}", + title = "{PyVista: 3D Plotting and Mesh Analysis Through a Streamlined Interface for the Visualization Toolkit (VTK)}", author = "Sullivan, C and Kaszynski, Alexander", - journal = "Journal of open source software", + journal = "Journal of Open Source Software", publisher = "The Open Journal", volume = 4, number = 37, @@ -27,17 +24,8 @@ @ARTICLE{Sullivan2019 } @MISC{De_La_Pena2017, - title = "{hyperspy/hyperspy: HyperSpy 1.3}", - author = "De La Pe{\~n}a, Francisco and Ostasevicius, Tomas and Tonaas - Fauske, Vidar and Burdet, Pierre and Jokubauskas, Petras and - Nord, Magnus and Prestat, Eric and Sarahan, Mike and MacArthur, - Katherine E and Johnstone, Duncan N and Taillon, Joshua and - Caron, Jan and Furnival, Tom and Eljarrat, Alberto and Mazzucco, - Stefano and Migunov, Vadim and Aarholt, Thomas and Walls, - Michael and Winkler, Florian and Martineau, Ben and Donval, - Ga{\"e}l and Hoglund, Eric R and Alxneit, Ivo and Hjorth, Ida - and Zagonel, Luiz Fernando and Garmannslund, Andreas and Gohlke, - Christoph and Iyengar, Ilya and Chang, Huang-Wei", + title = "{Hyperspy/Hyperspy: HyperSpy 1.3}", + author = "De La Pe{\~n}a, Francisco and Ostasevicius, Tomas and Tonaas Fauske, Vidar and Burdet, Pierre and Jokubauskas, Petras and Nord, Magnus and Prestat, Eric and Sarahan, Mike and MacArthur, Katherine E and Johnstone, Duncan N and Taillon, Joshua and Caron, Jan and Furnival, Tom and Eljarrat, Alberto and Mazzucco, Stefano and Migunov, Vadim and Aarholt, Thomas and Walls, Michael and Winkler, Florian and Martineau, Ben and Donval, Ga{\"e}l and Hoglund, Eric R and Alxneit, Ivo and Hjorth, Ida and Zagonel, Luiz Fernando and Garmannslund, Andreas and Gohlke, Christoph and Iyengar, Ilya and Chang, Huang-Wei", journal = "Zenodo", publisher = "Zenodo", year = 2017, @@ -46,31 +34,23 @@ @MISC{De_La_Pena2017 } @INPROCEEDINGS{Gorman2019, - title = "{The NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) - mission: an emerging era of global, hyperspectral Earth system - remote sensing}", + title = "{The NASA Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) Mission: An Emerging Era of Global, Hyperspectral Earth System Remote Sensing}", booktitle = "{Sensors, Systems, and Next-Generation Satellites XXIII}", - author = "Gorman, Eric T and Kubalak, David A and Patel, Deepak and - Dress, Andre' and Mott, David B and Meister, Gerhard and Jeremy - Werdell, P", + author = "Gorman, Eric T and Kubalak, David A and Patel, Deepak and Dress, Andre' and Mott, David B and Meister, Gerhard and Jeremy Werdell, P", publisher = "SPIE", volume = 11151, pages = "78--84", year = 2019, url = "https://bit.ly/4czxP43", - keywords = "Plankton; changing climate; aerosol; cloud; marine carbon - cycles ; ocean ecosystems ; Ocean Color Instrument; - hyperspectral imaging radiometer;", + keywords = "Plankton; Changing Climate; Aerosol; Cloud; Marine Carbon Cycles; Ocean Ecosystems; Ocean Color Instrument; Hyperspectral Imaging Radiometer;", language = "en", conference = "Sensors, Systems, and Next-Generation Satellites XXIII", doi = "10.1117/12.2537146" } @INPROCEEDINGS{Green2021, - title = "{NASA's Earth Surface Mineral Dust Source Investigation: An Earth - Venture Imaging Spectrometer Science Mission}", - booktitle = "{2021 IEEE International Geoscience and Remote Sensing Symposium - IGARSS}", + title = "{NASA's Earth Surface Mineral Dust Source Investigation: An Earth Venture Imaging Spectrometer Science Mission}", + booktitle = "{2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}", author = "Green, Robert O and Thompson, David R and {EMIT Team}", publisher = "IEEE", pages = "119--122", @@ -82,14 +62,9 @@ @INPROCEEDINGS{Green2021 } @ARTICLE{Green1998, - title = "{Imaging Spectroscopy and the Airborne Visible/Infrared Imaging - Spectrometer (AVIRIS)}", - author = "Green, Robert O and Eastwood, Michael L and Sarture, Charles M - and Chrien, Thomas G and Aronsson, Mikael and Chippendale, Bruce - J and Faust, Jessica A and Pavri, Betina E and Chovit, - Christopher J and Solis, Manuel and Olah, Martin R and Williams, - Orlesa", - journal = "Remote sensing of environment", + title = "{Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)}", + author = "Green, Robert O and Eastwood, Michael L and Sarture, Charles M and Chrien, Thomas G and Aronsson, Mikael and Chippendale, Bruce J and Faust, Jessica A and Pavri, Betina E and Chovit, Christopher J and Solis, Manuel and Olah, Martin R and Williams, Orlesa", + journal = "Remote Sensing of Environment", publisher = "Elsevier", volume = 65, number = 3, @@ -101,23 +76,15 @@ @ARTICLE{Green1998 } @ARTICLE{Alonso2019, - title = "{Data Products, Quality and Validation of the DLR Earth Sensing - Imaging Spectrometer (DESIS)}", - author = "Alonso, Kevin and Bachmann, Martin and Burch, Kara and Carmona, - Emiliano and Cerra, Daniele and de Los Reyes, Raquel and - Dietrich, Daniele and Heiden, Uta and H{\"o}lderlin, Andreas and - Ickes, Jack and Knodt, Uwe and Krutz, David and Lester, Heath - and M{\"u}ller, Rupert and Pagnutti, Mary and Reinartz, Peter - and Richter, Rudolf and Ryan, Robert and Sebastian, Ilse and - Tegler, Mirco", + title = "{Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS)}", + author = "Alonso, Kevin and Bachmann, Martin and Burch, Kara and Carmona, Emiliano and Cerra, Daniele and de Los Reyes, Raquel and Dietrich, Daniele and Heiden, Uta and H{\"o}lderlin, Andreas and Ickes, Jack and Knodt, Uwe and Krutz, David and Lester, Heath and M{\"u}ller, Rupert and Pagnutti, Mary and Reinartz, Peter and Richter, Rudolf and Ryan, Robert and Sebastian, Ilse and Tegler, Mirco", journal = "Sensors", publisher = "mdpi.com", volume = 19, number = 20, year = 2019, url = "http://dx.doi.org/10.3390/s19204471", - keywords = "DESIS; ISS; MUSES; earth observation; hyperspectral remote - sensing; imaging spectrometry", + keywords = "DESIS; ISS; MUSES; Earth Observation; Hyperspectral Remote Sensing; Imaging Spectrometry", language = "en", issn = "1424-8220", pmid = "31618940", @@ -126,11 +93,8 @@ @ARTICLE{Alonso2019 } @ARTICLE{Kampe2010, - title = "{NEON: the first continental-scale ecological observatory with - airborne remote sensing of vegetation canopy biochemistry and - structure}", - author = "Kampe, Thomas U and Johnson, Brian Robert and Kuester, Michele A - and Keller, Michael", + title = "{NEON: The First Continental-Scale Ecological Observatory with Airborne Remote Sensing of Vegetation Canopy Biochemistry and Structure}", + author = "Kampe, Thomas U and Johnson, Brian Robert and Kuester, Michele A and Keller, Michael", journal = "Journal of Applied Remote Sensing", publisher = "SPIE", volume = 4, @@ -138,37 +102,16 @@ @ARTICLE{Kampe2010 pages = "043510", year = 2010, url = "https://bit.ly/3zwSWp1", - keywords = "Neon; Calibration; Spectroscopy; Sensors; Vegetation; LIDAR; - Ecosystems; Remote sensing; Observatories; Satellites;", + keywords = "Neon; Calibration; Spectroscopy; Sensors; Vegetation; LIDAR; Ecosystems; Remote Sensing; Observatories; Satellites;", language = "en", issn = "1931-3195, 1931-3195", doi = "10.1117/1.3361375" } @ARTICLE{Fisher2020, - title = "{ECOSTRESS: NASA's next generation mission to measure - evapotranspiration from the international space station}", - author = "Fisher, Joshua B and Lee, Brian and Purdy, Adam J and Halverson, - Gregory H and Dohlen, Matthew B and Cawse-Nicholson, Kerry and - Wang, Audrey and Anderson, Ray G and Aragon, Bruno and Arain, M - Altaf and Baldocchi, Dennis D and Baker, John M and Barral, - H{\'e}l{\`e}ne and Bernacchi, Carl J and Bernhofer, Christian - and Biraud, S{\'e}bastien C and Bohrer, Gil and Brunsell, - Nathaniel and Cappelaere, Bernard and Castro-Contreras, Saulo - and Chun, Junghwa and Conrad, Bryan J and Cremonese, Edoardo and - Demarty, J{\'e}r{\^o}me and Desai, Ankur R and De Ligne, Anne - and Folt{\'y}nov{\'a}, Lenka and Goulden, Michael L and Griffis, - Timothy J and Gr{\"u}nwald, Thomas and Johnson, Mark S and Kang, - Minseok and Kelbe, Dave and Kowalska, Natalia and Lim, Jong-Hwan - and Ma{\"\i}nassara, Ibrahim and McCabe, Matthew F and Missik, - Justine E C and Mohanty, Binayak P and Moore, Caitlin E and - Morillas, Laura and Morrison, Ross and Munger, J William and - Posse, Gabriela and Richardson, Andrew D and Russell, Eric S and - Ryu, Youngryel and Sanchez-Azofeifa, Arturo and Schmidt, Marius - and Schwartz, Efrat and Sharp, Iain and {\v S}igut, Ladislav and - Tang, Yao and Hulley, Glynn and Anderson, Martha and Hain, - Christopher and French, Andrew and Wood, Eric and Hook, Simon", - journal = "Water resources research", + title = "{ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration from the International Space Station}", + author = "Fisher, Joshua B and Lee, Brian and Purdy, Adam J and Halverson, Gregory H and Dohlen, Matthew B and Cawse-Nicholson, Kerry and Wang, Audrey and Anderson, Ray G and Aragon, Bruno and Arain, M Altaf and Baldocchi, Dennis D and Baker, John M and Barral, H{\'e}l{\`e}ne and Bernacchi, Carl J and Bernhofer, Christian and Biraud, S{\'e}bastien C and Bohrer, Gil and Brunsell, Nathaniel and Cappelaere, Bernard and Castro-Contreras, Saulo and Chun, Junghwa and Conrad, Bryan J and Cremonese, Edoardo and Demarty, J{\'e}r{\^o}me and Desai, Ankur R and De Ligne, Anne and Folt{\'y}nov{\'a}, Lenka and Goulden, Michael L and Griffis, Timothy J and Gr{\"u}nwald, Thomas and Johnson, Mark S and Kang, Minseok and Kelbe, Dave and Kowalska, Natalia and Lim, Jong-Hwan and Ma{\"\i}nassara, Ibrahim and McCabe, Matthew F and Missik, Justine E C and Mohanty, Binayak P and Moore, Caitlin E and Morillas, Laura and Morrison, Ross and Munger, J William and Posse, Gabriela and Richardson, Andrew D and Russell, Eric S and Ryu, Youngryel and Sanchez-Azofeifa, Arturo and Schmidt, Marius and Schwartz, Efrat and Sharp, Iain and {\v S}igut, Ladislav and Tang, Yao and Hulley, Glynn and Anderson, Martha and Hain, Christopher and French, Andrew and Wood, Eric and Hook, Simon", + journal = "Water Resources Research", publisher = "American Geophysical Union (AGU)", volume = 56, number = 4, @@ -183,9 +126,7 @@ @ARTICLE{Fisher2020 @ARTICLE{Bioucas-Dias2013, title = "{Hyperspectral Remote Sensing Data Analysis and Future Challenges}", - author = "Bioucas-Dias, Jose M and Plaza, Antonio and Camps-Valls, Gustavo - and Scheunders, Paul and Nasrabadi, Nasser and Chanussot, - Jocelyn", + author = "Bioucas-Dias, Jose M and Plaza, Antonio and Camps-Valls, Gustavo and Scheunders, Paul and Nasrabadi, Nasser and Chanussot, Jocelyn", journal = "IEEE Geoscience and Remote Sensing Magazine", publisher = "IEEE", volume = 1, @@ -197,42 +138,28 @@ @ARTICLE{Bioucas-Dias2013 doi = "10.1109/MGRS.2013.2244672" } -@software{barrett2024, - author = {Barrett, Andrew and - Battisto, Chris and - Bourbeau, James and - Fisher, Matt and - Kaufman, Daniel and - Kennedy, Joseph and - Lopez, Luis and - Lowndes, Julia and - Scheick, Jessica and - Steiker, Amy}, - title = {earthaccess}, +@SOFTWARE{barrett2024, + author = {Barrett, Andrew and Battisto, Chris and Bourbeau, James and Fisher, Matt and Kaufman, Daniel and Kennedy, Joseph and Lopez, Luis and Lowndes, Julia and Scheick, Jessica and Steiker, Amy}, + title = "{earthaccess}", month = feb, year = 2024, - publisher = {Zenodo}, - version = {v0.9.0}, - doi = {10.5281/zenodo.10728098}, - url = {https://doi.org/10.5281/zenodo.10728098} + publisher = "Zenodo", + version = "v0.9.0", + doi = "10.5281/zenodo.10728098", + url = "https://doi.org/10.5281/zenodo.10728098" } @ARTICLE{McCarthy2017, - title = "{Satellite Remote Sensing for Coastal Management: A Review of - Successful Applications}", - author = "McCarthy, Matthew J and Colna, Kaitlyn E and El-Mezayen, Mahmoud - M and Laureano-Rosario, Abdiel E and M{\'e}ndez-L{\'a}zaro, - Pablo and Otis, Daniel B and Toro-Farmer, Gerardo and - Vega-Rodriguez, Maria and Muller-Karger, Frank E", - journal = "Environmental management", + title = "{Satellite Remote Sensing for Coastal Management: A Review of Successful Applications}", + author = "McCarthy, Matthew J and Colna, Kaitlyn E and El-Mezayen, Mahmoud M and Laureano-Rosario, Abdiel E and M{\'e}ndez-L{\'a}zaro, Pablo and Otis, Daniel B and Toro-Farmer, Gerardo and Vega-Rodriguez, Maria and Muller-Karger, Frank E", + journal = "Environmental Management", publisher = "Springer", volume = 60, number = 2, pages = "323--339", year = 2017, url = "http://dx.doi.org/10.1007/s00267-017-0880-x", - keywords = "Coastal resources; Coral reefs; Fisheries; Public health; Water - quality; Wetlands", + keywords = "Coastal Resources; Coral Reefs; Fisheries; Public Health; Water Quality; Wetlands", language = "en", issn = "0364-152X, 1432-1009", pmid = "28484828", @@ -240,8 +167,7 @@ @ARTICLE{McCarthy2017 } @ARTICLE{Klemas2010, - title = "{Remote Sensing Techniques for Studying Coastal Ecosystems: An - Overview}", + title = "{Remote Sensing Techniques for Studying Coastal Ecosystems: An Overview}", author = "Klemas, Victor", journal = "Journal of Coastal Research", publisher = "Allen Press", @@ -256,11 +182,9 @@ @ARTICLE{Klemas2010 } @ARTICLE{Brando2003, - title = "{Satellite hyperspectral remote sensing for estimating estuarine - and coastal water quality}", + title = "{Satellite Hyperspectral Remote Sensing for Estimating Estuarine and Coastal Water Quality}", author = "Brando, V E and Dekker, A G", - journal = "IEEE transactions on geoscience and remote sensing: a - publication of the IEEE Geoscience and Remote Sensing Society", + journal = "IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society", publisher = "IEEE", volume = 41, number = 6, @@ -272,11 +196,8 @@ @ARTICLE{Brando2003 } @ARTICLE{Dierssen2021, - title = "{Living up to the Hype of Hyperspectral Aquatic Remote Sensing: - Science, Resources and Outlook}", - author = "Dierssen, Heidi M and Ackleson, Steven G and Joyce, Karen E and - Hestir, Erin L and Castagna, Alexandre and Lavender, Samantha and - McManus, Margaret A", + title = "{Living Up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook}", + author = "Dierssen, Heidi M and Ackleson, Steven G and Joyce, Karen E and Hestir, Erin L and Castagna, Alexandre and Lavender, Samantha and McManus, Margaret A", journal = "Frontiers of Environmental Science \& Engineering in China", volume = 9, year = 2021, @@ -286,46 +207,35 @@ @ARTICLE{Dierssen2021 } @ARTICLE{Liu2019, - title = "{Multi-decadal trends and influences on dissolved organic carbon - distribution in the Barataria Basin, Louisiana from in-situ and - Landsat/MODIS observations}", + title = "{Multi-Decadal Trends and Influences on Dissolved Organic Carbon Distribution in the Barataria Basin, Louisiana from In-Situ and Landsat/MODIS Observations}", author = "Liu, B and D'Sa, Eurico J and Joshi, Ishan", - journal = "Remote sensing of environment", + journal = "Remote Sensing of Environment", volume = 228, pages = "183--202", year = 2019, url = "https://www.sciencedirect.com/science/article/pii/S0034425719301749", - keywords = "Barataria Bay; CDOM; DOC; Landsat-5 TM; MODIS-aqua; Landscape - dynamics", + keywords = "Barataria Bay; CDOM; DOC; Landsat-5 TM; MODIS-aqua; Landscape Dynamics", issn = "0034-4257", doi = "10.1016/j.rse.2019.04.023" } @ARTICLE{Thompson2020, - title = "{Quantifying uncertainty for remote spectroscopy of surface - composition}", - author = "Thompson, David R and Braverman, Amy and Brodrick, Philip G and - Candela, Alberto and Carmon, Nimrod and Clark, Roger N and - Connelly, David and Green, Robert O and Kokaly, Raymond F and Li, - Longlei and Mahowald, Natalie and Miller, Ronald L and Okin, - Gregory S and Painter, Thomas H and Swayze, Gregg A and Turmon, - Michael and Susilouto, Jouni and Wettergreen, David S", + title = "{Quantifying Uncertainty for Remote Spectroscopy of Surface Composition}", + author = "Thompson, David R and Braverman, Amy and Brodrick, Philip G and Candela, Alberto and Carmon, Nimrod and Clark, Roger N and Connelly, David and Green, Robert O and Kokaly, Raymond F and Li, Longlei and Mahowald, Natalie and Miller, Ronald L and Okin, Gregory S and Painter, Thomas H and Swayze, Gregg A and Turmon, Michael and Susilouto, Jouni and Wettergreen, David S", + journal = "Remote Sensing of Environment", volume = 247, pages = "111898", year = 2020, url = "https://www.sciencedirect.com/science/article/pii/S0034425720302686", - keywords = "Imaging spectroscopy; Geologic mapping; Cuprite Nevada; - Calibration visible-shortwave infrared; Atmospheric correction; - Statistical methods; Hyperspectral imagers", + keywords = "Imaging Spectroscopy; Geologic Mapping; Cuprite Nevada; Calibration Visible-Shortwave Infrared; Atmospheric Correction; Statistical Methods; Hyperspectral Imagers", issn = "0034-4257", doi = "10.1016/j.rse.2020.111898" } @ARTICLE{Elliott2007, - title = "{The Estuarine Quality Paradox, Environmental Homeostasis and the - difficulty of detecting anthropogenic stress in naturally - stressed areas}", + title = "{The Estuarine Quality Paradox, Environmental Homeostasis and the Difficulty of Detecting Anthropogenic Stress in Naturally Stressed Areas}", author = "Elliott, Michael and Quintino, Victor", + journal = "Marine Pollution Bulletin", volume = 54, number = 6, pages = "640--645", @@ -338,16 +248,10 @@ @ARTICLE{Elliott2007 } @ARTICLE{Junk2013, - title = "{Current state of knowledge regarding the world's wetlands and - their future under global climate change: a synthesis}", - author = "Junk, Wolfgang J and An, Shuqing and Finlayson, C M and Gopal, - Brij and Kv{\v e}t, Jan and Mitchell, Stephen A and Mitsch, - William J and Robarts, Richard D", - abstract = "… Climate change scenarios predict additional stresses on - wetlands, mainly because of changes … regions of the world in - the context of global climate change . This final chapter - provides a …", - journal = "Aquatic sciences", + title = "{Current State of Knowledge Regarding the World's Wetlands and Their Future Under Global Climate Change: A Synthesis}", + author = "Junk, Wolfgang J and An, Shuqing and Finlayson, C M and Gopal, Brij and Kv{\v e}t, Jan and Mitchell, Stephen A and Mitsch, William J and Robarts, Richard D", + abstract = "… Climate change scenarios predict additional stresses on wetlands, mainly because of changes … regions of the world in the context of global climate change. This final chapter provides a …", + journal = "Aquatic Sciences", publisher = "Springer Science and Business Media LLC", volume = 75, number = 1, @@ -360,10 +264,9 @@ @ARTICLE{Junk2013 } @ARTICLE{Pringle2001, - title = "{Hydrologic connectivity and the management of biological reserves: a global perspective}", + title = "{Hydrologic Connectivity and the Management of Biological Reserves: A Global Perspective}", author = "Pringle, Catherine M", - journal = "Ecological applications: a publication of the Ecological Society - of America", + journal = "Ecological Applications: A Publication of the Ecological Society of America", publisher = "Wiley Online Library", volume = 11, number = 4, diff --git a/paper/paper.md b/paper/paper.md index bb502854..04c04bcf 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -28,7 +28,7 @@ bibliography: paper.bib HyperCoast is a Python package designed to provide an accessible and comprehensive set of tools for visualizing and analyzing hyperspectral data in coastal environments. Hyperspectral data refers to the information collected by sensors that capture light across a wide range of wavelengths, beyond what the human eye can see. This data allows scientists to detect and analyze various materials and conditions on the Earth's surface with great detail. Unlike multispectral data, which captures light in a limited number of broad wavelength bands (typically 3 to 10), hyperspectral data captures light in many narrow, contiguous wavelength bands, often numbering in the hundreds. This provides much more detailed spectral information. Leveraging the capabilities of popular packages like Leafmap [@Wu2021] and PyVista [@Sullivan2019], HyperCoast streamlines the exploration and interpretation of complex hyperspectral remote sensing data from existing spaceborne and airborne missions. It is also poised to support future hyperspectral missions, such as NASA's SBG and GLIMR [@Dierssen2021]. -HyperCoast supports the reading and visualization of hyperspectral data from various missions, including the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) [@Green1998], the National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) [@Kampe2010], the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission [@Gorman2019], the Earth Surface Mineral Dust Source Investigation (EMIT) [@Green2021], and the DLR Earth Sensing Imaging Spectrometer (DESIS) [@Alonso2019], along with other datasets like the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) [@Fisher2020]. Users can interactively explore hyperspectral data, extract spectral signatures, change band combinations and colormaps, visualize data in 3D, and perform interactive slicing and thresholding operations (see Figure 1). Additionally, by leveraging the earthaccess [@barrett2024] package, HyperCoast provides tools for interactively searching NASA's hyperspectral data. This makes HyperCoast a versatile and powerful tool for working with hyperspectral data globally, with a particular focus on coastal regions. +HyperCoast supports the reading and visualization of hyperspectral data from various missions, including the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) [@Green1998], the National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) [@Kampe2010], the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission [@Gorman2019], the Earth Surface Mineral Dust Source Investigation (EMIT) [@Green2021], and the German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS) [@Alonso2019], along with other datasets like the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) [@Fisher2020]. Users can interactively explore hyperspectral data, extract spectral signatures, change band combinations and colormaps, visualize data in 3D, and perform interactive slicing and thresholding operations (see Figure 1). Additionally, by leveraging the `earthaccess` [@barrett2024] package, HyperCoast provides tools for interactively searching NASA's hyperspectral data. This makes HyperCoast a versatile and powerful tool for working with hyperspectral data globally, with a particular focus on coastal regions. ![EMIT](https://assets.gishub.org/images/EMIT-demo.png) **Figure 1.** An example of visualizing NASA EMIT hyperspectral data using HyperCoast. @@ -39,7 +39,7 @@ Coastal systems, characterized by complex physical, chemical, and bio-optical pr The launch of new hyperspectral sensors, such as NASA's Ocean Color Instrument (OCI) aboard the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission [@Gorman2019], marks a transformative era in global hyperspectral data acquisition. These sensors feature narrow spectral bands ranging from ultraviolet to near-infrared and offer 2-day global coverage. Focusing on inland-coastal applications, the Earth Surface Mineral Dust Source Investigation (EMIT) instrument serves as a precursor to the Surface Biology Geology (SBG) mission, combining high spectral resolution (380-2500 nm with a spectral resolution of 7.4 nm) and spatial resolution (60 m). EMIT provides significant hyperspectral advantages for monitoring water quality and biodiversity across diverse habitats (see Figure 1) [@Green2021; @Thompson2020]. -However, effectively working with and visualizing diverse hyperspectral data, such as PACE's swath data, poses significant challenges, especially for non-expert users. Currently, there are few Python packages dedicated to hyperspectral data visualization and analysis. HyperSpy [@De_La_Pena2017], for example, is widely used for such analysis but is not tailored for new hyperspectral data (e.g., PACE, EMIT) or coastal applications. Additionally, it does not leverage the latest advances in the Jupyter ecosystem and 3D visualization. Thus, existing packages are often limited in functionality or lack a focus on coastal applications. +However, effectively working with and visualizing diverse hyperspectral data, such as PACE's swath data, poses significant challenges, especially for non-expert users. Currently, there are few Python packages dedicated to hyperspectral data visualization and analysis. HyperSpy [@De_La_Pena2017], for example, is widely used for such analysis but is not tailored for new hyperspectral data (e.g., PACE, EMIT). Additionally, it does not leverage the latest advances in the Jupyter Widget ecosystem and 3D visualization. HyperCoast fills this gap by providing a comprehensive set of tools tailored to the unique needs of researchers and environmental managers working in coastal regions. By integrating advanced visualization techniques and interactive tools, HyperCoast enables users to effectively analyze hyperspectral data, facilitating a better understanding and management of coastal ecosystems (see Figure 2).