Article
Remote Sensing
Xinyan Li, Feng Ling, Xiaobin Cai, Yong Ge, Xiaodong Li, Zhixiang Yin, Cheng Shang, Xiaofeng Jia, Yun Du
Summary: This paper proposes a new method to reconstruct the water distribution in cloud-contaminated images using a spatiotemporal dependence model. The results demonstrate that the method can produce high-quality cloud-free classification maps and provide good water-extraction accuracy and consistency in various hydrological conditions, with an overall accuracy of up to 98%. The accuracy and practicality of the method make it promising for future research and monitoring efforts across a wide range of applications.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Guangyi Ma, Linglong Zhu, Yonghong Zhang, Kenny Thiam Choy Lim Kam Sian, Yixin Feng, Tianming Yu
Summary: This study presents a pixel-wise classification algorithm based on Support Vector Machine (SVM) for differentiating between snow and clouds over the Qinghai-Tibetan Plateau. The algorithm, called the 3-D Orientation Gradient algorithm (3-D OG), captures the variations of the gradient direction of snow and clouds in spatiotemporal dimensions. The results demonstrate that the proposed algorithm can accurately identify snow and clouds during snowfall, and outperforms existing algorithms in terms of accuracy. The algorithm utilizes the high temporal resolution image from the geostationary satellite Fengyun-4A (FY-4A) for near real-time snow cover monitoring.
Article
Environmental Sciences
Ronald C. Estoque, Brian A. Johnson, Yan Gao, Rajarshi DasGupta, Makoto Ooba, Takuya Togawa, Yasuaki Hijioka, Yuji Murayama, Lilito D. Gavina, Rodel D. Lasco, Shogo Nakamura
Summary: With the increasing challenges of global environmental change, sustainability, and biodiversity conservation, monitoring the world's remaining forests has become more crucial than ever. Earth observation technologies, particularly remote sensing, play a vital role in forest cover monitoring worldwide. However, multi-temporal categorical map products have limitations and may not accurately represent forest landscapes. Using remotely sensed tree canopy cover datasets can complement traditional forest/non-forest maps for more accurate forest cover monitoring.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Kaitlyn Bishay, Nels R. R. Bjarke, Parthkumar Modi, Justin M. M. Pflug, Ben Livneh
Summary: Understanding the relationship between remotely sensed snow disappearance and seasonal water supply is important for supplementing limited ground based measurements in a changing climate. A study investigated this relationship for 15 snow dominated basins across the western U.S. using satellite-derived Day of Snow Disappearance (DSD) and April-July total streamflow volume. The study found a significant relationship between DSD and water supply, with satellite-based models showing better prediction skill than in-situ-based models.
Article
Environmental Sciences
Xi Kan, Zhengsong Lu, Yonghong Zhang, Linglong Zhu, Kenny Thiam Choy Lim Kam Sian, Jiangeng Wang, Xu Liu, Zhou Zhou, Haixiao Cao
Summary: In this study, a deep learning model called DSRSS-Net was proposed to improve the spatial resolution of satellite snow cover products. The model incorporates an edge enhancement module and coordinated attention mechanism, and utilizes multi-task loss for optimization. The results show that the proposed method effectively reduces misidentification and achieves higher classification accuracy.
Article
Biodiversity Conservation
Ran Wang, Kyle R. Springer, John A. Gamon
Summary: Boreal forests at northern latitudes are sensitive to climate change, and spectral reflectance-based optical remote sensing can effectively monitor their response. Snow coverage in high-altitude regions poses challenges for satellite-based vegetation indices, impacting the accuracy of monitoring vegetation productivity. This study revealed significant impacts of snow on canopy reflectance and vegetation indices, with different effects observed among species and functional groups.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Environmental Sciences
Dekker Ehlers, Chao Wang, John Coulston, Yulong Zhang, Tamlin Pavelsky, Elizabeth Frankenberg, Curtis Woodcock, Conghe Song
Summary: The majority of the aboveground biomass on the Earth's land surface is stored in forests. However, accurate estimation of forest aboveground biomass (FAGB) remains challenging. This study proposed a new conceptual model using remotely sensed data to map FAGB. The model includes height metrics as the most important variables for estimating FAGB.
Article
Engineering, Electrical & Electronic
Cheng Shang, Shan Jiang, Feng Ling, Xiaodong Li, Yadong Zhou, Yun Du
Summary: Super-resolution mapping (SRM) can predict land cover distribution in mixed pixels with higher spatial resolution using deep learning techniques. This study proposes an end-to-end SRM model, called spectral-spatial generative adversarial network (SGS), which effectively handles spectral-spatial errors. The SGS model reduces land cover fraction errors, reconstructs spatial details, removes unrealistic cover artifacts, and eliminates false recognition.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Soil Science
R. Pittman, B. Hu, K. Webster
Summary: This study aimed to improve the accuracy of forest soil properties modeling by utilizing various remotely sensed data, such as airborne LiDAR. Random forest and support vector machine approaches were applied for classification, showing that LiDAR-derived covariates and environmental factors related to vegetation were crucial for predicting soil properties accurately.
Article
Environmental Studies
Mulenga Kalumba, Stefaan Dondeyne, Eline Vanuytrecht, Edwin Nyirenda, Jos Van Orshoven
Summary: This study conducted a functional evaluation of digital maps of soil hydraulic properties in the Zambezi River Basin using a crop growth model. The results showed that soil hydraulic property estimates based on digital soil mapping performed better in simulating crop growth in dry years.
Article
Environmental Sciences
Paola Souto-Ceccon, Gonzalo Simarro, Paolo Ciavola, Andrea Taramelli, Clara Armaroli
Summary: Coastal managers, policymakers, and scientists use shoreline accretion/erosion trends to understand the historical evolution and predict future changes of coastlines. This paper presents two new methods for subpixel-level shoreline mapping using PRISMA hyperspectral imagery. The first method analyzes spectral signatures along defined beach profiles, while the second method applies Spectral Unmixing algorithms and Spatial Attraction Models. The results, validated on Mediterranean microtidal beaches in Italy and Greece, show errors of approximately 6 and 7 m for the first and second methods, respectively, comparable to those obtained from multispectral data. The paper also discusses the capability of these methods to identify different shoreline proxies.
Article
Geochemistry & Geophysics
Yuanlin Zhang, Yuan Yuan
Summary: In this letter, a hierarchical information enhancing detector (HIE-Det) is proposed to address the issue of size-unfitting proposal regions in remote sensing object detection. The HIE-Det utilizes the important semantic reinjection (ISR) module to enhance object semantic information, and the object boundary enhancing (OBE) module to improve regression robustness. Experimental results demonstrate significant improvement in detection performance with the proposed HIE-Det.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Review
Environmental Sciences
Yaping Mo, Yongming Xu, Huijuan Chen, Shanyou Zhu
Summary: This paper reviews the progress of land surface temperature reconstruction research and different reconstruction algorithms; it also outlines the importance of validation methods for filled data; prospects for future developments in LST reconstruction are provided.
Article
Environmental Sciences
Anil Kumar, Panagiotis Kosmopoulos, Yashwant Kashyap, Rupam Gautam
Summary: In this study, the possibility of estimating GHI in parallel to PV power production in India was investigated using the RTM model called libRadtran. Satellite information on cloud and aerosol conditions, along with ground-based measurements of GHI and COT, were used as input parameters. The simulation results were compared with actual data from four solar power plants in Rajasthan, India. The study found significant attenuation due to clouds and aerosols, with a maximum energy loss observed at one location.
Article
Ecology
Hui Wang, Liping Cai, Xiaojin Wen, Donglin Fan, Yuejun Wang
Summary: This study analyzed the consistencies in land cover changes in China using likelihood assessment methods. The results showed significant differences between different datasets, indicating low consistency in land cover change in China. Comparisons with global datasets also provided insights into land cover changes in China.
ECOSYSTEM HEALTH AND SUSTAINABILITY
(2022)
Article
Ecology
Miguel Verdu, Jose L. Garrido, Julio M. Alcantara, Alicia Montesinos-Navarro, Salomon Aguilar, Marcelo A. Aizen, Ali A. Al-Namazi, Mohamed Alifriqui, David Allen, Kristina J. Anderson-Teixeira, Cristina Armas, Jesus M. Bastida, Tono Bellido, Giuliano Bonanomi, Gustavo B. Paterno, Herbert Briceno, Ricardo A. C. de Oliveira, Josefina G. Campoy, Ghassen Chaieb, Chengjin Chu, Sarah E. Collins, Richard Condit, Elena Constantinou, Cihan U. Degirmenci, Leo Delalandre, Milen Duarte, Michel Faife, Fatih Fazlioglu, Edwino S. Fernando, Joel Flores, Hilda Flores-Olvera, Ecaterina Fodor, Gislene Ganade, Maria Begona Garcia, Patricio Garcia-Fayos, Sabrina S. Gavini, Marta Goberna, Lorena Gomez-Aparicio, Enrique Gonzalez-Pendas, Ana Gonzalez-Robles, Stephen P. Hubbell, Kahraman Ipekdal, Maria J. Jorquera, Zaal Kikvidze, Pinar Kutkut, Alicia Ledo, Sandra Lendinez, Buhang Li, Hanlun Liu, Francisco Lloret, Ramiro P. Lopez, Alvaro Lopez-Garcia, Christopher J. Lortie, Gianalberto Losapio, James A. Lutz, Arantzazu L. Luzuriaga, Frantisek Malis, Esteban Manrique, Antonio J. Manzaneda, Vinicius Marcilio-Silva, Richard Michalet, Rafael Molina-Venegas, Jose Antonio Navarro-Cano, Vojtech Novotny, Jens M. Olesen, Juan P. Ortiz-Brunel, Maria Pajares-Murgo, Nikolas Parissis, Geoffrey Parker, Antonio J. Perea, Vidal Perez-Hernandez, Maria Angeles Perez-Navarro, Nuria Piston, Elisa Pizarro-Carbonell, Ivan Prieto, Jorge Prieto-Rubio, Francisco Pugnaire, Nelson Ramirez, Ruben Retuerto, Pedro J. Rey, Daniel A. Rodriguez Ginart, Mariana Rodriguez-Sanchez, Ricardo Sanchez-Martin, Christian Schob, Cagatay Tavsanoglu, Giorgi Tedoradze, Amanda Tercero-Araque, Katja Tielboerger, Blaise Touzard, Irem Tufekcioglu, Sevda Turkis, Francisco M. Usero, Nurbahar Usta, Alfonso Valiente-Banuet, Alexia Vargas-Colin, Ioannis Vogiatzakis, Regino Zamora
Summary: Plant recruitment interactions shape plant community composition, diversity, and structure. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes. This data set includes 143 plant recruitment networks across five continents, providing valuable information for testing ecological, biogeographical, and evolutionary hypotheses related to plant recruitment interactions.
Article
Ecology
Joseph D. Birch, Yoshimitsu Chikamoto, R. J. DeRose, Vinicius Manvailer, E. H. Hogg, Justine Karst, David M. Love, James A. Lutz
Summary: Climate change is causing earlier spring budburst in deciduous temperate trees, increasing their vulnerability to damage from growing season frosts. The study found that over the past 150 years, the occurrence of 'white rings' associated with frost damage accounted for 5-6% of all years, leading to nearly a 40% decline in radial growth of Populus tremuloides.
Article
Ecology
Joseph D. Birch, James A. Lutz, Soren Struckman, Jessica R. Miesel, Justine Karst
Summary: Large-diameter trees have a significant impact on aboveground forest dynamics and belowground fungal communities. This study found that they have a larger influence on fungal community richness, particularly ectomycorrhizal fungi. Different fungal guilds are associated with the location, size, and species of aboveground trees.
ECOLOGICAL PROCESSES
(2023)
Article
Forestry
Kendall M. L. Becker, James A. Lutz
Summary: Global increases in large-tree mortality and multiple disturbances such as fire, drought, and pestilence increase the importance of understanding how large-tree growth responds to changes in competitive neighborhoods. Using spatially mapped trees within a burned area, the study investigated the growth of two species of surviving large trees in response to changes in tree neighborhoods. The results showed that density reduction had a positive effect on tree growth, with fire or mechanical damage having a stronger impact on Pinus lambertiana than Abies concolor. The interaction between tree diameter and density reduction was significant for P. lambertiana, with smaller-diameter trees showing a larger increase in growth under density reduction due to fire or mechanical damage.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Ecology
Michal Bogdziewicz, Marie-Claire Aravena Acuna, Robert Andrus, Davide Ascoli, Yves Bergeron, Daniel Brveiller, Thomas Boivin, Raul Bonal, Thomas Caignard, Maxime Cailleret, Rafael Calama, Sergio Donoso Calderon, J. Julio Camarero, Chia-Hao Chang-Yang, Jerome Chave, Francesco Chianucci, Natalie L. Cleavitt, Benoit Courbaud, Andrea Cutini, Thomas Curt, Adrian J. Das, Hendrik Davi, Nicolas Delpierre, Sylvain Delzon, Michael Dietze, Laurent Dormont, William Farfan-Rios, Catherine A. Gehring, Gregory S. Gilbert, Georg Gratzer, Cathryn H. Greenberg, Arthur Guignabert, Qinfeng Guo, Andrew Hacket-Pain, Arndt Hampe, Qingmin Han, Kazuhiko Hoshizaki, Ines Ibanez, Jill F. Johnstone, Valentin Journe, Thomas Kitzberger, Johannes M. H. Knops, Georges Kunstler, Richard Kobe, Jonathan G. A. Lageard, Jalene M. LaMontagne, Mateusz Ledwon, Theodor Leininger, Jean-Marc Limousin, James A. Lutz, Diana Macias, Anders Marell, Eliot J. B. McIntire, Emily Moran, Renzo Motta, Jonathan A. Myers, Thomas A. Nagel, Shoji Naoe, Mahoko Noguchi, Michio Oguro, Hiroko Kurokawa, Jean-Marc Ourcival, Robert Parmenter, Ignacio M. Perez-Ramos, Lukasz Piechnik, Tomasz Podgorski, John Poulsen, Tong Qiu, Miranda D. Redmond, Chantal D. Reid, Kyle C. Rodman, Pavel Samonil, Jan Holik, C. Lane Scher, Harald Schmidt Van Marle, Barbara Seget, Mitsue Shibata, Shubhi Sharma, Miles Silman, Michael A. Steele, Jacob N. Straub, I-Fang Sun, Samantha Sutton, Jennifer J. Swenson, Peter A. Thomas, Maria Uriarte, Giorgio Vacchiano, Thomas T. Veblen, Boyd Wright, S. Joseph Wright, Thomas G. Whitham, Kai Zhu, Jess K. Zimmerman, Magdalna Zywiec, James S. Clark
Summary: This study examines the relationship between tree traits and seed number and size. The findings reveal that traits such as growth rate, adaptability, and environmental requirements are associated with seed number and size. These findings provide important insights into the mechanisms that maintain forest diversity under changing climate.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Environmental Sciences
Nimrod Carmon, Alexander Berk, Niklas Bohn, Phillip G. Brodrick, Jeff Dozier, Margaret Johnson, Charles E. Miller, David R. Thompson, Michael Turmon, Charles M. Bachmann, Robert O. Green, Regina Eckert, Elliott Liggett, Hai Nguyen, Francisco Ochoa, Gregory S. Okin, Rory Samuels, David Schimel, Joon Jin Song, Jouni Susiluoto
Summary: We propose a new method for atmospheric-topographic correction that directly estimates surface geometry from radiance measurement. Our approach accurately models topography in mountainous areas, addressing the limitations of current methods that rely on elevation maps. Through experiments using NASA's AVIRIS-NG, we demonstrate high accuracy in estimating topographic slope compared to lidar data. This approach has the potential for use in both airborne campaigns and orbital missions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
A. M. Raiho, K. Cawse-Nicholson, A. Chlus, J. Dozier, M. Gierach, K. Miner, F. Schneider, D. Schimel, S. Serbin, A. N. Shiklomanov, D. R. Thompson, P. A. Townsend, S. Zareh, M. Skiles, B. Poulter
Summary: The retrieval algorithms used for optical remote sensing satellite data to estimate Earth's geophysical properties have specific requirements for spatial resolution, temporal revisit, spectral range and resolution, and instrument signal-to-noise ratio (SNR) performance. Different scientific fields may have varying sensitivity to mission architecture choices that affect spectral, spatial, or temporal resolutions and spectrometer SNR. The interplay between spatial resolution, temporal revisit, and SNR can be quantitatively assessed for imaging spectroscopy missions and used to identify key components of algorithm performance and mission observing criteria.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Forestry
Joseph D. Birch, James A. Lutz
Summary: This study found that proximity to deadwood and mature trees is an important factor for the habitat and spatial structure of Pinus flexilis and Pinus longaeva seedlings and adults. The presence of large deadwood is likely favorable for the persistence and regeneration of these two Pinus species.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Forestry
Joseph D. Birch, Matthew B. Dickinson, Alicia Reiner, Eric E. Knapp, Scott N. Dailey, Carol Ewell, James A. Lutz, Jessica R. Miesel
Summary: This study aimed to investigate the relative contribution of pre-fire conditions to fire energy and the role of fire advancement direction in fuel consumption. The results showed that pre-fire litter and duff fuels were the most important factors in explaining fire energy, and heading fires consumed more fuel than backing fires. The knowledge of fire energy and fuel consumption among different fire behaviors can inform wildfire management and fuels treatments.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2023)
Article
Plant Sciences
Chen-Chia Ku, Jianwu Tang, Wei-Chun Chao, Kuo-Jung Chao, Guo-Zhang Michael Song, Huan-Yu Lin, James A. Lutz
Summary: This study analyzed changes in tree density and aboveground biomass in the tropical forest of Lanjenchi, Taiwan, under different levels of wind stress. The findings showed that while the overall state of the forest remained stable, there were apparent differences in dynamics among habitat types and diameter classes, which could lead to forest changes.
Article
Ecology
Joseph D. Birch, James A. Lutz
Summary: In Utah, there are differences in fire severity among vegetation types and fire sizes. Previous fire activity can serve as a baseline for future fire, but fire suppression in the 20th century suggests that future fire may be more active. Fire managers planning prescribed fires smaller than 400 ha in forests may find data from medium-sized fires more informative than statewide or vegetation type averages, which are weighted towards large fires.
Article
Plant Sciences
Tong Qiu, Marie-Claire Aravena, Davide Ascoli, Yves Bergeron, Michal Bogdziewicz, Thomas Boivin, Raul Bonal, Thomas Caignard, Maxime Cailleret, Rafael Calama, Sergio Donoso Calderon, J. Julio Camarero, Chia-Hao Chang-Yang, Jerome Chave, Francesco Chianucci, Benoit Courbaud, Andrea Cutini, Adrian J. Das, Nicolas Delpierre, Sylvain Delzon, Michael Dietze, Laurent Dormont, Josep Maria Espelta, Timothy J. Fahey, William Farfan-Rios, Jerry F. Franklin, Catherine A. Gehring, Gregory S. Gilbert, Georg Gratzer, Cathryn H. Greenberg, Arthur Guignabert, Qinfeng Guo, Andrew Hacket-Pain, Arndt Hampe, Qingmin Han, Jan Holik, Kazuhiko Hoshizaki, Ines Ibanez, Jill F. Johnstone, Valentin Journe, Thomas Kitzberger, Johannes M. H. Knops, Georges Kunstler, Hiroko Kurokawa, Jonathan G. A. Lageard, Jalene M. LaMontagne, Francois Lefevre, Theodor Leininger, Jean-Marc Limousin, James A. Lutz, Diana Macias, Anders Marell, Eliot J. B. McIntire, Christopher M. Moore, Emily Moran, Renzo Motta, Jonathan A. Myers, Thomas A. Nagel, Shoji Naoe, Mahoko Noguchi, Michio Oguro, Robert Parmenter, Ian S. Pearse, Ignacio M. Perez-Ramos, Lukasz Piechnik, Tomasz Podgorski, John Poulsen, Miranda D. Redmond, Chantal D. Reid, Kyle C. Rodman, Francisco Rodriguez-Sanchez, Pavel Samonil, Javier D. Sanguinetti, C. Lane Scher, Barbara Seget, Shubhi Sharma, Mitsue Shibata, Miles Silman, Michael A. Steele, Nathan L. Stephenson, Jacob N. Straub, Samantha Sutton, Jennifer J. Swenson, Margaret Swift, Peter A. Thomas, Maria Uriarte, Giorgio Vacchiano, Amy V. Whipple, Thomas G. Whitham, Andreas P. Wion, S. Joseph Wright, Kai Zhu, Jess K. Zimmerman, Magdalena Zywiec, James S. Clark
Summary: The benefits of masting include satiating seed predators, but this comes at a cost to mutualist pollen and seed dispersers. Masting represents a balance between these benefits and costs, and mast avoidance is expected in species heavily reliant on mutualist dispersers. Through a meta-analysis of 12 million tree-years worldwide, three components of masting (volatility, periodicity, and synchronicity) were quantified. Results showed that mast avoidance by species dependent on mutualist dispersers explained the most variation, while nutrient-demanding species had low volatility and species in nutrient-rich, warm/wet sites exhibited short periods. The prevalence of masting in cold/dry sites coincides with less reliance on vertebrate dispersers. The new method revealed that masting is uncommon in tree species dependent on mutualist dispersers, with its distribution mediated by climate and nutrient availability.
Article
Geography, Physical
Edward H. Bair, Jeff Dozier, Karl Rittger, Timbo Stillinger, William Kleiber, Robert E. Davis
Summary: Optimizing the balance between spatial and temporal resolution is crucial for studying global snow. Recent advances in satellite constellations and fusion techniques have shown promising results. Two recent advances, the fused MODIS-Landsat product and the harmonized Landsat 8 and Sentinel 2A and B (HLS) product, provide improved spatial and temporal resolution for snow mapping. However, the accuracy of snow water equivalent (SWE) reconstruction using these higher resolution products may be affected by scaling artifacts and limited forcings.
Article
Geography, Physical
Timbo Stillinger, Karl Rittger, Mark S. Raleigh, Alex Michell, Robert E. Davis, Edward H. Bair
Summary: This study validates snow cover mapping algorithms using high-resolution aerial laser scanner snow depth maps and compares the performance of different algorithms under forest canopies or at the meter scale. The results show that spectral-unmixing methods have lower classification and root-mean-square errors and higher accuracy compared to the band ratio approach used by MODIS.
Article
Ecology
Kendall M. L. Becker, James A. Lutz
Summary: The fall rates of pre-existing snags are higher than new snags after fire, especially after 5 years. Pre-existing snags with a diameter over 50 cm, height over 20 m, and charred bole to heights above 3.7 m are more likely to persist after 5 years. Spatial neighborhood and local fire severity have little impact on predicting snag fall after fire.