Results 51 to 60 of about 1,871 (181)

The Regional Application of the Global Entrepreneurship and Development Index (GEDI): The Case of Spain [PDF]

Regional Studies, 2014
Entrepreneurship and Development Index (GEDI): the case of Spain, Regional Studies. This paper constructs a regional application of the Global Entrepreneurship and Development Index (GEDI) that captures the contextual features of entrepreneurship across regions. Using institutional data and survey data, weaknesses in the incentive structure that affect
Ács, Z.J., Szerb, László, Ortega-Argilés, R.; id_orcid 0000-0002-7783-2230, Aidis, Ruta, Coduras, A.   +4 more
openaire   +3 more sources

Assimilation of Satellite‐Based Forest Biomass, Productivity and Leaf Area Index in a Global Land Model Incorporating Parameter Spatial Variations and Age Effects

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract Disturbances profoundly impact forest capacity for sequestering and storing carbon, and the recovery rates after disturbances vary geographically. Many terrestrial carbon models inadequately simulate the effects of forest disturbances on biomass due to their reliance on equilibrium assumptions, the absence of historical disturbance data, as ...
Rui Ma, Yuan Zhang, Philippe Ciais, Wei Li, Jingfeng Xiao, Yingping Wang, Liyang Liu, Songyan Zhu   +7 more
wiley   +1 more source

A dual-pathway framework for mapping forest age in complex mining landscapes by multi-source remote sensing data and tree growth patterns

GIScience & Remote Sensing
Accurate forest age estimation is critical for sustainable forest management, carbon sequestration assessment, and biodiversity conservation. While traditional dendrochronology offers high accuracy, it lacks spatial scalability.
Tianyue Ma, Jing Li, Andy Smith, Xingguang Yan, Yiting Su, Jiangrun Huo, Yanan Li, Dan Chen, Haixia Yu   +8 more
doaj   +1 more source

ForestForTrees: An R package to infer forest structure from remote sensing data

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2052-2060, July 2026.
Abstract Estimating forest size‐abundance distributions is essential for understanding demographic processes and structural dynamics. Remote sensing provides broad coverage but often misses smaller trees hidden beneath the canopy, complicating inference of the full size distribution.
Adam J. Eichenwald, John M. Grady, Alyson East, Noah Charney, Sydne Record   +4 more
wiley   +1 more source

Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements

Science of Remote Sensing
Savannas cover more than 20% of the Earth and account for the third largest stock of global aboveground biomass yet estimates of their above ground biomass density (AGBD) are very inaccurate.
Xiaoxuan Li, Konrad Wessels, John Armston, Laura Duncanson, Mikhail Urbazaev, Laven Naidoo, Renaud Mathieu, Russell Main   +7 more
doaj   +1 more source

Adaptation and Response in Drylands: A Dryland Research Agenda and Campaign Strategy

Global Change Biology, Volume 32, Issue 7, July 2026.
The Adaptation and Response in Drylands (ARID) campaign was selected by NASA as a scoping study to develop a research agenda for a dryland field campaign. Here, we detail our ARID science research agenda and implementation plan that were developed based on an extensive community engagement effort in over 160 events with over a thousand scientists, land
Andrew F. Feldman, Sasha C. Reed, Konrad Wessels, Dennis Ojima, David J. P. Moore, William K. Smith, Niall P. Hanan, Cibele Amaral, Flurin Babst, Joel A. Biederman, Marcy Litvak, Natasha MacBean, Benjamin Poulter, Russell L. Scott, Alicja Babst‐Kostecka, Julia K. Green, Raymond F. Kokaly, Ryan Pavlick, Robert Swap, Shawn P. Serbin, Compton J. Tucker, Lixin Wang, Jennifer Watts, Alejandro Flores, James Rattling Leaf Sr., Sativa Cruz, Nikki Tulley, Robert A. Washington‐Allen, Karen Prentice, Emily Kachergis, Julian Reyes, Jasmine Ryan, Michael D. SanClements, Henry W. Loescher, Allison K. Leidner, Tyson Swetnam   +35 more
wiley   +1 more source

Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site

GIScience & Remote Sensing, 2023
Leaf area index (LAI) is defined as one half of the total green leaf area per unit ground surface area. Its vertical profile is critical for understanding the remote sensing radiative transfer processes.
Yao Wang, Hongliang Fang, Yinghui Zhang, Sijia Li, Yong Pang, Tian Ma, Yu Li   +6 more
doaj   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, Volume 2026, Issue 6, June 2026.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Spatial distribution and drivers of aboveground forest biomass in Mexico using GEDI and national forest inventory data

Remote Sensing in Ecology and Conservation
Accurate assessment of forest aboveground biomass density (AGBD) is essential for understanding the role of vegetation in climate change mitigation and developing forest management and environmental policies at national and regional levels.
José Luis Hernández‐Stefanoni, Luis A. Hernández‐Martínez, Juan Andres‐Mauricio, Víctor Alexis Peña‐Lara, Karina Elizabeth González‐Muñoz, Fernando Tun‐Dzul, Carlos A. Portillo‐Quintero, Eric Antonio Gamboa‐Blanco, Stephanie George‐Chacon   +8 more
doaj   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, Volume 12, Issue 3, Page 323-348, June 2026.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source