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Sentinel-1 Soil Moisture at 1 Km Resolution: A Validation Study
This study presents an assessment of a pre-operational soil moisture product at 1 km resolution derived from satellite data acquired by …
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VNIR and MIR Spectroscopy of PLFA-derived Soil Microbial Properties and Associated Soil Physicochemical Characteristics in an Experimental Plant Diversity Gradient
Improving our understanding of the functions and processes of soil microbial communities and their interactions with the …
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VNIR and MIR Spectroscopy of PLFA-derived Soil Microbial Properties and Associated Soil Physicochemical Characteristics in an Experimental Plant Diversity Gradient
Are Urban Material Gradients Transferable between Areas?
Urban areas contain a complex mixture of surface materials resulting in mixed pixels that are challenging to handle with conventional …
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Characterizing the River Water Quality in China: Recent Progress and on-Going Challenges
Food production systems, urbanization, and other anthropogenic activities dramatically alter natural hydrological and nutrient cycles, …
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Crowd-Sourced Plant Occurrence Data Provide a Reliable Description of Macroecological Gradients
Deep learning algorithms classify plant species with high accuracy, and smartphone applications leverage this technology to enable …
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Crowd-Sourced Plant Occurrence Data Provide a Reliable Description of Macroecological Gradients
A Multi-Hazard Map-Based Flooding, Gully Erosion, Forest Fires, and Earthquakes in Iran
Abstract We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector …
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Benchmarking Plant Diversity of Palaearctic Grasslands and Other Open Habitats
Abstract Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and …
Idoia Biurrun, Remigiusz Pielech, Iwona Dembicz, François Gillet, Łukasz Kozub, Corrado Marcenò, Triin Reitalu, Koenraad Van Meerbeek, Riccardo Guarino, Milan Chytrý, Robin J. Pakeman, Zdenka Preislerová, Irena Axmanová, Sabina Burrascano, Sándor Bartha, Steffen Boch, Hans Henrik Bruun, Timo Conradi, Pieter De Frenne, Franz Essl, Goffredo Filibeck, Michal Hájek, Borja Jiménez-Alfaro, Anna Kuzemko, Zsolt Molnár, Meelis Pärtel, Ricarda Pätsch, Honor C. Prentice, Jan Roleček, Laura M. E. Sutcliffe, Massimo Terzi, Manuela Winkler, Jianshuang Wu, Svetlana Aćić, Alicia T. R. Acosta, Elias Afif, Munemitsu Akasaka, Juha M. Alatalo, Michele Aleffi, Alla Aleksanyan, Arshad Ali, Iva Apostolova, Parvaneh Ashouri, Zoltán Bátori, Esther Baumann, Thomas Becker, Elena Belonovskaya, José Luis Benito Alonso, Asun Berastegi, Ariel Bergamini, Kuber Prasad Bhatta, Ilaria Bonini, Marc-Olivier Büchler, Vasyl Budzhak, Álvaro Bueno, Fabrizio Buldrini, Juan Antonio Campos, Laura Cancellieri, Marta Carboni, Tobias Ceulemans, Alessandro Chiarucci, Cristina Chocarro, Luisa Conti, Anna Mária Csergő, Beata Cykowska-Marzencka, Marta Czarniecka-Wiera, Marta Czarnocka-Cieciura, Patryk Czortek, Jiří Danihelka, Francesco De Bello, Balázs Deák, László Demeter, Lei Deng, Martin Diekmann, Jiri Dolezal, Christian Dolnik, Pavel Dřevojan, Cecilia Dupré, Klaus Ecker, Hamid Ejtehadi, Brigitta Erschbamer, Javier Etayo, Jonathan Etzold, Tünde Farkas, Mohammad Farzam, George Fayvush, María Rosa Fernández Calzado, Manfred Finckh, Wendy Fjellstad, Georgios Fotiadis, Daniel Garcíaágro, Itziar García-Mijangos, Rosario G. Gavilán, Markus Germany, Sahar Ghafari, Gian Pietro Giusso Del Galdo, John-Arvid Grytnes, Behlül Güler, Alba Gutiérrez-Girón, Aveliina Helm, Mercedes Herrera, Elisabeth M. Hüllbusch, Nele Ingerpuu, Annika K. Jägerbrand, Ute Jandt, Monika Janišová, Philippe Jeanneret, Florian Jeltsch, Kai Jensen, Anke Jentsch, Zygmunt Kącki, Kaoru Kakinuma, Jutta Kapfer, Mansoureh Kargar, András Kelemen, Kathrin Kiehl, Philipp Kirschner, Asuka Koyama, Nancy Langer, Lorenzo Lazzaro, Jan Lepš, Ching-Feng Li, Frank Yonghong Li, Diego Liendo, Regina Lindborg, Swantje Löbel, Angela Lomba, Zdeňka Lososová, Pavel Lustyk, Arantzazu L. Luzuriaga, Wenhong Ma, Simona Maccherini, Martin Magnes, Marek Malicki, Michael Manthey, Constantin Mardari, Felix May, Helmut Mayrhofer, Eliane Seraina Meier, Farshid Memariani, Kristina Merunková, Ottar Michelsen, Joaquín Molero Mesa, Halime Moradi, Ivan Moysiyenko, Michele Mugnai, Alireza Naqinezhad, Rayna Natcheva, Josep M. Ninot, Marcin Nobis, Jalil Noroozi, Arkadiusz Nowak, Vladimir Onipchenko, Salza Palpurina, Harald Pauli, Hristo Pedashenko, Christian Pedersen, Robert K. Peet, Aaron Pérez-Haase, Jan Peters, Nataša Pipenbaher, Chrisoula Pirini, Eulàlia Pladevall-Izard, Zuzana Plesková, Giovanna Potenza, Soroor Rahmanian, Maria Pilar Rodríguezójo, Vladimir Ronkin, Leonardo Rosati, Eszter Ruprecht, Solvita Rusina, Marko Sabovljević, Anvar Sanaei, Ana M. Sánchez, Francesco Santi, Galina Savchenko, Maria-Teresa Sebastià, Dariia Shyriaieva, Vasco Silva, Sonja Škornik, Eva Šmerdová, Judit Sonkoly, Marta Gaia Sperandii, Monika Staniaszek-Kik, Carly Stevens, Simon Stifter, Sigrid Suchrow, Grzegorz Swacha, Sebastian Świersz, Amir Talebi, Balázs Teleki, Lubomír Tichý, Csaba Tölgyesi, Marta Torca, Péter Török, Nadezda Tsarevskaya, Ioannis Tsiripidis, Ingrid Turisová, Atushi Ushimaru, Orsolya Valkó, Carmen Van Mechelen, Thomas Vanneste, Iuliia Vasheniak, Kiril Vassilev, Daniele Viciani, Luis Villar, Risto Virtanen, Vitasović-Kosić Ivana, András Vojtkó, Denys Vynokurov, Emelie Waldén, Yun Wang, Frank Weiser, Lu Wen, Karsten Wesche, Hannah White, Stefan Widmer, Sebastian Wolfrum, Anna Wróbel, Zuoqiang Yuan, David Zelený, Liqing Zhao, Jürgen Dengler
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Comprehensive Evaluation of Satellite-Based and Reanalysis Soil Moisture Products Using in Situ Observations over China
Abstract. Soil moisture (SM) plays a critical role in the water and energy cycles of the Earth system; consequently, a long-term SM …
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Detection of Dynamical Regime Transitions with Lacunarity as a Multiscale Recurrence Quantification Measure
We propose lacunarity as a novel recurrence quantification measure and illustrate its efficacy to detect dynamical regime transitions …
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Eemont: A Python Package That Extends Google Earth Engine
Google Earth Engine (GEE) is a cloud-based service for geospatial processing of vector and raster data (Gorelick et al., 2017). The GEE …
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